CN116995659A

CN116995659A - Flexible operation method of heat pump system considering renewable energy source consumption

Info

Publication number: CN116995659A
Application number: CN202310915481.8A
Authority: CN
Inventors: 路菲; 李骥; 徐伟; 乔镖; 冯晓梅; 孙宗宇
Original assignee: Jianke Huanneng Technology Co ltd; China Academy of Building Research CABR
Current assignee: Jianke Huanneng Technology Co ltd; China Academy of Building Research CABR
Priority date: 2023-07-25
Filing date: 2023-07-25
Publication date: 2023-11-03

Abstract

The invention provides a flexible operation method of a heat pump system considering renewable energy consumption. The method comprises the steps of defining power grid interaction response adjustment requirements, predicting load and running state of the heat pump system, accurately calculating power generation load and consumption requirements of the distributed renewable energy sources, sequencing regulation and control priority of adjustable resources of the heat pump system, determining running strategy of the heat pump system and loading and unloading decision of the adjustable resources by considering renewable energy sources, and forming a flexible running scheme of the heat pump system by considering renewable energy sources. The running method provided by the invention is beneficial to running management personnel, load agents, load aggregators and power grid sides of the heat pump system and the distributed renewable energy system, fully utilizes flexible resource adjustable potential of the heat pump at the demand side, and relieves the contradiction of unbalanced power supply and demand of the low-carbon energy system.

Description

Flexible operation method of heat pump system considering renewable energy source consumption

Technical Field

The invention belongs to the technical field of heat pump system operation control, and particularly relates to a flexible operation method of a heat pump system considering renewable energy consumption.

Background

Along with the promotion of energy saving and carbon reduction work in the energy and building fields and the promotion of the electrification level of the cooling heat supply of the building, the global heat pump market scale is continuously expanding, and the heat pump technology is further popularized in the energy field. The heat pump system uses electric power to enable heat to flow from a low-level heat source to a high-level heat source, and is an efficient energy-saving cooling and heating technology. As low-carbon power systems develop and the distributed clean energy duty increases, energy is transformed from traditional "consumption" to "production-consumption-regulation". The heat pump system is not only a low-carbon cooling and heating technology, but also an important flexible resource in the energy system. The heat pump flexible resource in the novel power system is fully utilized, and the challenges brought to the safe and stable operation of the power system due to high power ratio, strong randomness and uncertainty of renewable energy sources on the supply and demand sides can be effectively solved. The combination of the heat pump system and renewable energy sources not only can smooth and transfer peak demands, but also can effectively utilize renewable energy sources, promote the consumption of renewable energy sources and reduce the carbon emission of buildings. However, the operation of the heat pump system is generally based on the indoor and outdoor boundary conditions, the cold and hot requirements of users and the load rate of the heat pump unit, and meanwhile, the energy-saving and efficient operation of the system is considered to formulate a system operation control strategy. The technical scheme has limitations, the dynamic characteristics of renewable energy sources and power grid regulation and control requirements are not fully considered, the operation strategy of the existing scheme is fixed in a long time scale, the power load of the heat pump system is relatively rigid, and the flexibility of the system cannot be effectively utilized. The prior researches and the technical proposal provide an operation strategy considering renewable energy consumption aiming at an air source heat pump and an energy storage system, but the system form, the application scene and the operation control difference of the heat pump system are large, and the prior technical proposal can not be widely applied to the heat pump system.

Disclosure of Invention

The invention aims to solve the problems in the prior art and provides a flexible operation method of a heat pump system considering renewable energy consumption. The invention provides a heat pump system flexible operation method considering renewable energy consumption, which comprises the steps of defining a power grid demand response regulation target, predicting load demands and operation states of a heat pump system, accurately calculating power generation loads and consumption demands of distributed renewable energy sources, sequencing regulation and control priorities of adjustable resources of the heat pump system, determining an operation strategy of the heat pump system and an load and load adding regulation decision of the adjustable resources in consideration of the renewable energy consumption demands, and forming a heat pump system flexible operation scheme in consideration of the renewable energy consumption. The running method provided by the invention is beneficial to heat pump system and distributed renewable energy system running management personnel, load agents, load aggregators and power grid side dispatching demand side heat pump flexible resources, fully utilizes adjustable potential and relieves the contradiction between supply and demand of a low-carbon energy system.

The invention is realized by the following technical scheme, and provides a flexible operation method of a heat pump system considering renewable energy consumption, which comprises the following steps:

Step A, acquiring city and region information of a heat pump system by adopting actual investigation, obtaining a power grid dynamic electricity price policy, power grid renewable energy consumption requirements and power grid power load regulation and control target values adopted by a heat pump system service user, and determining regulation targets of the heat pump system participating in power grid interactive response at different moments in an operation regulation and control period;

step B, establishing a heat pump system multi-element load demand and operation state prediction model, and determining a system initial operation strategy, a cold-hot electric load and operation parameters in an operation regulation period;

step C, constructing a distributed renewable energy power generation load accurate calculation method based on actual historical data and a machine learning coupling rolling optimization method, and determining distributed renewable energy surplus time and shortage time and renewable energy consumption requirements in an operation regulation period;

step D, analyzing the regulation technology and regulation parameters of the adjustable resources of the heat pump system, and establishing the operation regulation priority order of the adjustable resources of the heat pump system;

step E, considering the distributed renewable energy consumption and the adjustment targets of heat pump-power grid interaction response, and formulating a flexible operation strategy of a heat pump system at the low electricity price moment and a loading and unloading adjustment decision of the adjustable resources according to the low electricity price time interval division of the power grid, the surplus and shortage moment information of the distributed renewable energy and the loading adjustment priority sequence of the adjustable resources;

Step F, based on the grid price reduction time interval division condition, distributed renewable energy surplus and shortage time information, distributed renewable energy consumption and heat pump-power grid interaction response adjustment targets and adjustable resource adjustment loading and load reduction priority order, an operation strategy and load reduction adjustment decision of a price reduction time heat pump system are formulated;

and G, based on peak and peak electricity price period information of the power grid, surplus and shortage conditions of distributed renewable energy, distributed renewable energy consumption and power grid demand response regulation targets and adjustable resource load shedding regulation priority, setting operation strategies and load shedding regulation decisions of the heat pump system at peak and peak time, and reducing power grid electricity taking load of the heat pump system at peak and peak time.

Further, the step B specifically includes:

firstly, the indoor and outdoor boundary conditions of a service user of a heat pump system directly influence the cold and hot electric load requirements and operation parameters of the system, and the outdoor meteorological parameters in the operation regulation period of the heat pump are predicted based on actual historical meteorological data of the region where the heat pump system is located;

step two, acquiring user indoor boundary condition parameters of heat pump system service based on a heat pump system monitoring and information acquisition system;

Thirdly, based on a physical model of the heat pump system, establishing a heat pump system cold-heat power multi-element load demand and running state prediction mathematical model by adopting a simulation method, importing indoor and outdoor boundary condition prediction parameter values, and calculating the cold-heat demand of a user;

and fourthly, on the premise of meeting the cold and hot requirements and comfort requirements of users, establishing an initial operation strategy of the heat pump system, and calculating the power load, the unit load rate and the water supply and return temperature operation state parameters of the heat pump system in a simulation mode.

Further, the step C specifically includes:

firstly, carrying out correlation analysis on meteorological factors influencing the power generation capacity of distributed renewable energy sources based on actual operation data of a renewable energy source power generation system in an area where a heat pump system is located and actual monitoring values of outdoor meteorological parameters to obtain main influencing factors, and taking the main influencing factors as prediction input of power generation load;

secondly, constructing a distributed renewable energy power generation load accurate calculation model by adopting a prediction method combining a long time scale prediction before the day and a small time scale rolling optimization in the day; a machine learning algorithm is adopted to construct a future power generation prediction model, and the power generation load of the distributed renewable energy sources in a future operation control period is predicted; taking weather data actually monitored in the day and weather data predicted values at the next moment as input of a prediction model, and performing rolling optimization on the power generation load predicted values under a small time scale in the day so as to reduce errors of weather data and power generation load prediction in a long time scale before the day;

And thirdly, judging the magnitude relation between the electricity load demand of a user served by the heat pump and the on-site electricity generation load based on the electricity load of the heat pump system which is predicted by simulation and the distributed renewable energy source electricity generation load which is predicted accurately, and determining the surplus time and the shortage time of renewable energy sources in the operation control period.

Further, the step D specifically includes:

firstly, determining adjustable resources comprising a heat pump system host, a transmission and distribution system, terminal equipment and energy storage equipment, and analyzing the regulation and control technology and regulation parameters of load loading and load shedding of different resources;

secondly, based on an operation decision of the heat pump system and operation state parameter information of adjustable resources under an initial operation strategy, predicting the regulation potential of each adjustable link in a future operation control period, and sequencing the priority of all the adjustable resources of the heat pump system on the premise of meeting the requirements of regulation response speed and duration, wherein the higher the resource operation regulation priority with high adjustable power and low regulation cost is;

and thirdly, when the heat pump system is regulated and controlled in operation according to the distributed renewable energy consumption and the power grid demand response, the adjustable resources are regulated and controlled in sequence according to the resource priority order until the operation regulation target is met.

Further, the step E specifically includes:

the method comprises the steps of firstly, carrying out flexible operation decisions of a heat pump system at different times, judging whether the moment is low-valley electricity price moment according to the dividing condition of peak-valley electricity price time periods of a power grid, if so, further judging whether renewable energy power generation is excessive, wherein the operation principle of the heat pump system at the low-valley electricity moment of the power grid is to preferentially consume low-valley electricity of the power grid, and the excessive distributed renewable energy power is used for surfing the net, so that economic benefits are obtained according to the low-valley electricity price and the excessive renewable energy power surfing price difference;

secondly, if the on-site renewable energy generating capacity is excessive at the moment, the excessive renewable energy power is on the network, and according to the adjustable resource priority order of the heat pump system, the adjustable links are sequentially called to load and increase the power load demand of the system, and the power of the power grid in the valley price period is consumed until the power grid demand response regulation target is met;

thirdly, if the on-site renewable energy generating capacity is in shortage at the moment, the shortage electric quantity of the heat pump system is supplemented by power taking of the power grid, and according to the priority order of the adjustable resources of the heat pump system, the adjustable links are sequentially called to load and increase the power load demand of the system, and the electricity of the power grid in the valley price period is consumed until the power grid demand response regulation target is met;

And fourthly, if the moment is not the low electricity price moment of the power grid, entering a power grid flat period judging program.

Further, the step F specifically includes:

the method comprises the steps of firstly, judging whether the power is at the power-on time, if so, further judging whether the renewable energy source is excessive in power generation, wherein the operation principle of a heat pump system at the power-on time is to preferentially consume the distributed renewable energy source power;

step two, if the on-site renewable energy generating capacity is excessive at the moment, sequentially regulating and controlling each link and equipment according to the adjustable resource loading regulation priority order, and improving the power load requirement of the system and the self-consumption of renewable energy; after loading and adjusting, if the renewable energy power is equal to the power consumption of a user, the supply and demand are balanced; if renewable energy sources are still excessive after loading adjustment, the redundant power is directly connected to the internet;

thirdly, if the on-site renewable energy source is in shortage in power generation at the moment, sorting according to the adjustable resource load reducing adjustment priority, and preferentially calling links and equipment with large adjustable potential, so that the power load of the system is reduced, and the balance of the power load of a user and the power generation load of the renewable energy source is promoted; if renewable energy sources are in shortage after load shedding adjustment, insufficient power is taken from a power grid;

And fourthly, if the moment is not in the flat period, entering a peak power period judging program.

Further, the calculation expression of the load-loading and heat pump system service user interaction load with the power grid after regulation is as follows:

P _up,t ＝min((P _res,t -P _de,t ),P _up,max ) (1)

P _int,t ＝P _de,t -P _res,t +P _up,t (2)

wherein P is _up,t For the total loading power load of the heat pump system at the time of the flat period t, P _up,max For maximum loading of the heat pump system at the time of the reduced price period t, P _de,t Service user total power demand for heat pump system in power grid flat period t moment, P _res,t Generating an electrical load for a time-of-day t-time distributed renewable energy source, P _int,t The heat pump system service user and the power grid interaction load are used for the power grid low price period t moment, a negative value represents surfing the internet, and a positive value represents power grid electricity taking;

the calculation expression of the load interaction between the service user of the heat pump system after load shedding and adjustment and the power grid is as follows:

P _int,t ＝P _de,t -P _res,t -P _down,t (3)

wherein P is _int,t The heat pump system service user and the power grid interaction load are used for the power grid low price period t moment, a negative value represents surfing the internet, and a positive value represents power grid electricity taking; p (P) _de,t Service user total power demand for heat pump system in power grid flat period t moment, P _res,t Generating an electrical load for a time-of-day t-time distributed renewable energy source, P _down,t And (5) reducing the electric load for the heat pump system at the time of the price reduction period t.

Further, the step G specifically includes:

the method comprises the steps of firstly, judging whether the power grid peak electricity price moment is the electricity grid peak electricity price moment, if so, further judging whether renewable energy power generation is excessive, determining the operation principle of a heat pump system at the peak and peak electricity price moment to be to preferentially consume distributed renewable energy power, directly surfing the internet with the excessive power generation amount, and reducing the electricity taking load of the power grid;

step two, if the distributed renewable energy generating capacity is excessive at the moment, sorting according to the adjustable resource loading adjustment priority, preferentially adopting links and equipment with large adjustment potential, increasing the power consumption requirement of a heat pump system, consuming the distributed renewable energy power, improving the supply and demand balance of renewable energy power generation and user power consumption, and directly surfing the internet by the excessive renewable energy power after loading adjustment;

thirdly, if the distributed renewable energy source is in electric shortage at the moment, sorting according to the adjustable resource load shedding adjustment priority, and preferentially adopting links and equipment with large adjustment potential, so as to maximally reduce the electric load demand of the system; after load shedding, if the renewable energy power generation load is equal to the user power consumption load, the supply and demand are balanced, and the user does not interact with the power grid; if renewable energy is excessive, the excessive power is directly connected to the internet; if renewable energy sources are still in shortage, insufficient power is taken from a power grid;

Fourth, judging whether the regulation and control decision at all moments in the operation control period is finished, if yes, stopping calculation; otherwise, returning to the step C.

The invention provides an electronic device, which comprises a memory and a processor, wherein the memory stores a computer program, and the processor realizes the steps of the flexible operation method of the heat pump system considering renewable energy consumption when executing the computer program.

The present invention proposes a computer readable storage medium for storing computer instructions which, when executed by a processor, implement the steps of the flexible operating method of a heat pump system taking into account renewable energy consumption.

Compared with the prior art, the invention has the beneficial effects that:

(A) The invention designs a flexible operation method of a heat pump system considering renewable energy source consumption. The method forms a solution of 'explicit power grid demand response regulation target-heat pump system load demand and running state prediction-distributed renewable energy power generation load accurate calculation-heat pump system adjustable resource regulation priority sequencing-determination of heat pump system running strategy and adjustable resource load and load addition regulation decision'. In the scheme, firstly, the dynamic electricity price policy of the power grid and the renewable energy consumption requirement of the power grid adopted by the heat pump system are considered, and the regulation targets of the interactive response of the heat pump system and the power grid in different time within the regulation period are clearly operated. Secondly, a heat pump system cold-hot electric load demand and running state prediction model is established, and an initial running strategy, cold-hot electric load and running parameters of the system in a running regulation period are determined. Then, based on actual historical data and a machine learning coupling rolling optimization method, a distributed renewable energy power generation load accurate calculation method is established, and renewable energy surplus time and shortage time and renewable energy consumption requirements in an operation regulation and control period are determined. And then, analyzing the operation regulation priority order of the adjustable resources of the heat pump system based on the regulation technology and the regulation parameters of the adjustable resources of the heat pump system. And finally, taking the distributed renewable energy consumption requirement and the power grid interaction response regulation target into consideration, and formulating an operation strategy of the heat pump system and a loading and unloading regulation decision of the adjustable resources according to the low electricity price, the flat price, the peak electricity price time period information, the distributed renewable energy surplus and shortage time information and the adjustable resource regulation priority of the power grid. The heat pump system operation method considering renewable energy consumption can guide the system to change rigid operation into flexible operation, comprehensively consider the requirements of the power grid and distributed renewable energy consumption, flexibly participate in the interactive response of the power grid and improve the renewable energy consumption.

(B) The invention discloses a renewable energy power generation system, which is characterized by high randomness and volatility, and aims at the problems of low prediction accuracy of renewable energy power generation load, low prediction accuracy of distributed renewable energy surplus and shortage conditions caused by large prediction time scale. Based on the simulated predicted heat pump system power consumption load and the distributed renewable energy power generation load obtained by accurate prediction, the magnitude relation between the power consumption load demand of a user served by the heat pump and the on-site power generation load is judged, and the renewable energy surplus time and the shortage time and the renewable energy consumption demand in the operation control period are determined. The method provides a basis for formulating a flexible operation strategy of the heat pump system considering the requirements of distributed renewable energy consumption.

(C) Aiming at the problems that a heat pump system is complex, adjustable links and resources are more, the potential and priority of different control links are unknown, running decisions at different moments are difficult to determine and the like, the invention determines the adjustable resources comprising a heat pump system host, a transmission and distribution system, terminal equipment, energy storage equipment and the like, analyzes the load and load shedding regulation technologies and regulation parameters of different resources, predicts the regulation potential of each adjustable link in a running control period, and further ranks the load shedding priority of all the adjustable resources of the heat pump system. Considering distributed renewable energy consumption and power grid demand response regulation targets, regulating and controlling the adjustable resources in sequence according to the resource priority order according to the power grid peak-valley electricity price time interval division, distributed renewable energy surplus and shortage time information and the adjustable resource loading regulation priority, and making operation strategies of the heat pump system at different moments in an operation control period and loading and unloading regulation decisions of the adjustable resources until the operation regulation targets are met.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present invention, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.

Fig. 1 shows a schematic flow chart of a flexible operation method of a heat pump system considering renewable energy consumption.

FIG. 2 shows a flexible control logic diagram of a heat pump system based on grid interactive response and renewable energy consumption.

Detailed Description

The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

The invention aims to provide a flexible operation method of a heat pump system, which takes renewable energy consumption into consideration. Firstly, considering the dynamic electricity price policy of the power grid adopted by the heat pump system and the renewable energy source consumption requirement of the power grid, the regulation targets of the interaction response of the heat pump system and the power grid at different times in the regulation period are definitely operated. Secondly, a heat pump system multi-element load demand and operation state prediction model is established, and an initial operation strategy, a cold-hot electric load and operation parameters of the system in an operation regulation period are determined. Then, based on actual historical data and a machine learning rolling optimization method, a precise calculation method of the distributed renewable energy power generation load is constructed, and renewable energy surplus time and shortage time and renewable energy consumption requirements in an operation regulation and control period are determined. And then, based on the regulation technology and regulation parameters of the adjustable resources of the heat pump system, establishing the operation regulation priority of the adjustable resources of the heat pump system. And finally, taking the distributed renewable energy consumption requirement and the power grid interaction response regulation target into consideration, and making an operation strategy of the heat pump system and a loading and unloading regulation decision of the adjustable resources according to the low-valley power price, the flat power price, the peak power price time period information, the distributed renewable energy surplus and shortage time information and the adjustable resource regulation priority of the power grid. The flexible operation method of the heat pump system considering the renewable energy source consumption can guide the flexible operation of the system, flexibly participate in the interactive response of the power grid and improve the distributed renewable energy source consumption.

The invention provides a flexible operation method of a heat pump system considering renewable energy source consumption, which specifically comprises the following steps:

A. the actual investigation is adopted to obtain the city and region information of the heat pump system, the dynamic electricity price policy of the power grid, the renewable energy source absorption requirement of the power grid and the power grid power load regulation and control target value adopted by the service user of the heat pump system are obtained, the power grid interaction requirements at different moments in the operation regulation and control period (24 hours) are determined, and the heat pump system participates in the regulation target of the power grid interaction response.

B. And establishing a heat pump system multi-element load demand and operation state prediction model, and determining a system initial operation strategy, a cold-hot electric load and operation parameters in an operation regulation period. Indoor and outdoor boundary conditions of users served by the heat pump system directly influence the cold and hot electric load demands and operation strategies of the system, and outdoor meteorological parameters (temperature, humidity, wind speed, solar radiation intensity and the like) in one future operation control period are predicted based on actual historical meteorological data of the region where the heat pump system is located. The heat pump system monitoring and information acquisition system is adopted to acquire indoor boundary condition parameters (indoor temperature, indoor humidity, equipment work and rest, lighting work and rest, behavior parameters and the like) of a user served by the heat pump system. Based on a physical model of the heat pump system, a mathematical model for predicting the multi-element load demand and the running state of the heat pump system is established by adopting a simulation method, and the predicted value of the indoor and outdoor boundary condition parameter is imported to calculate the cold and hot load demand of a user. On the premise of meeting the requirements of users on cold and hot demands and comfort, an initial operation strategy of the heat pump system is formulated, and operation state parameters such as power load, unit load rate, water supply and return temperature and the like of the heat pump system are calculated in a simulation mode.

C. Based on actual historical data and a machine learning coupling rolling optimization method, a distributed renewable energy power generation load accurate calculation method is constructed, and renewable energy surplus time and shortage time and renewable energy consumption requirements in an operation regulation period are determined. And (3) taking the characteristic of larger randomness and volatility of the renewable energy power generation system into consideration, carrying out correlation analysis on meteorological factors influencing the power generation capacity of the distributed renewable energy power generation system based on actual operation data of the renewable energy power generation system in the area where the heat pump system is located and an actual monitoring value of outdoor meteorological parameters to obtain main influencing factors, and taking the main influencing factors as prediction input of power generation load. And constructing an accurate calculation model of the power generation load of the distributed renewable energy source by adopting a prediction method of long-time-scale power generation before the day and small-time-scale rolling optimization in the day. And (3) constructing a future power generation prediction model by adopting a machine learning algorithm, and predicting the power generation load of the distributed renewable energy source in a future operation control period (24 hours). And taking weather data actually monitored in the day and a weather data predicted value at the next moment as inputs of a predicted model, and performing rolling optimization on the power generation load predicted value under a small time scale in the day so as to reduce errors of weather data and power generation load prediction in a long time scale before the day. Based on the simulation prediction heat pump system electricity load and the distributed renewable energy power generation load obtained by accurate prediction, the magnitude relation between the electricity load of a user served by the heat pump and the on-site power generation load is judged, and the renewable energy surplus time and the shortage time in the operation control period are determined.

D. Analyzing the regulation technology and regulation parameters of the adjustable resources of the heat pump system, and establishing the operation regulation priority ordering of the adjustable resources of the heat pump system. The method determines adjustable resources comprising a heat pump system host, a transmission and distribution system, terminal equipment, energy storage equipment and the like, and analyzes the regulation technology and regulation parameters of loading load and unloading load of different resources. Based on the operation decision of the heat pump system and the operation state information of the adjustable resources under the initial operation strategy, the adjustable potential (loading adjustable power, unloading adjustable power, response speed, duration time, regulation cost and the like) of each link in a future operation control period is predicted, and on the premise of meeting the requirements of regulation response speed and duration time, the higher the resource operation regulation priority with high adjustable power and low regulation cost is, the load adding and subtracting priority of all adjustable resources of the heat pump system is ordered. When the distributed renewable energy consumption and the power grid interaction response are considered to perform operation regulation and control on the heat pump system, the adjustable resources are regulated and controlled in sequence according to the resource priority order until the operation regulation target is met.

E. And taking the distributed renewable energy consumption and the power grid demand response regulation targets into consideration, and making an operation strategy of the heat pump system at the low electricity price moment and a loading and unloading regulation decision of the adjustable resources according to the low electricity price time interval division of the power grid, the surplus and shortage moment information of the distributed renewable energy and the loading regulation priority sequence of the adjustable resources. Judging whether the electricity grid is valley electricity time according to the dividing condition of the peak valley electricity price period of the electricity grid, if so, further judging whether renewable energy source power generation is excessive, wherein the valley electricity time preferentially consumes low valley electricity of the electricity grid, the distributed renewable energy source excessive power is connected with the electricity grid, and economic benefits are obtained according to the low valley electricity price and the excessive renewable energy source power connection electricity price difference. And if the on-site renewable energy generating capacity is excessive at the moment, the excessive renewable energy power is on the network, and according to the priority order of the adjustable resources of the heat pump system, the adjustable links are sequentially called to load and increase the power load of the system, and the power of the grid in the valley price period is consumed until the power grid interactive response regulation target is met. And if the on-site renewable energy generating capacity is in shortage at the moment, the shortage electric quantity of the heat pump system is supplemented by taking electricity from the power grid, and the adjustable resource loading is sequentially called according to the priority order of the adjustable resources of the heat pump system to increase the power consumption load of the system, so that the electricity in the valley period of the power grid is consumed until the power grid demand response regulation target is met. If the time is not at the valley time, the flat time period judgment program is entered.

F. And (3) based on the grid price reduction time interval division condition, the distributed renewable energy surplus and shortage time information, the distributed renewable energy consumption and grid demand response regulation target and the adjustable resource regulation loading and unloading priority order, an operation strategy and a load and unload regulation decision of a price reduction time heat pump system are formulated. And judging whether the power generation time is the flat time, if so, further judging whether the renewable energy source is excessive in power generation, and preferentially consuming the on-site distributed renewable energy source power at the flat time. And if the on-site renewable energy power generation amount is excessive at the moment, sequentially regulating and controlling each link and equipment according to the adjustable resource loading regulation priority order, and improving the power load requirement of the system and the self-consumption of renewable energy. After loading and adjusting, if the renewable energy power is equal to the power consumption of a user, the supply and demand are balanced; if renewable energy sources are still excessive after loading adjustment, redundant power is directly connected to the internet. If the on-site renewable energy source is in short supply in power generation at the moment, the links and the equipment with large regulation potential are preferentially adopted according to the regulation priority order of the adjustable resource load shedding, so that the power load of the system is reduced, and the balance of the power load of a user and the power generation load of the renewable energy source is promoted. And if renewable energy sources are in shortage after load shedding adjustment, insufficient power is taken from a power grid. If the time is not in the flat period, a peak power period judgment program is entered.

G. And based on the peak and peak electricity price time period information of the power grid, the surplus and shortage conditions of the distributed renewable energy source, the interactive response adjustment targets of the distributed renewable energy source and the power grid, and the adjustable resource load shedding adjustment priority, an operation strategy and load shedding adjustment decision of the heat pump system at the peak and peak time are formulated, and the power grid electricity taking load of the heat pump system at the peak and peak time is reduced. And judging whether the power supply is at the peak power price moment, if so, further judging whether the renewable energy power generation is excessive at the moment, wherein the distributed renewable energy power is preferentially consumed at the peak power price moment and the peak power price moment, the excessive power generation capacity is directly connected to the Internet, and the power supply load of the power grid is reduced. If the distributed renewable energy generating capacity is excessive at the moment, sorting according to the adjustable resource loading adjustment priority, preferentially adopting links and equipment with large adjustment potential, increasing the power consumption requirement of a heat pump system, consuming the distributed renewable energy power, improving the balance of the renewable energy power generation and the power consumption of users, and directly surfing the internet by the excessive renewable energy power after loading adjustment. If the distributed renewable energy source is in electric shortage at the moment, the links and the equipment with large regulation potential are preferentially adopted according to the regulation priority order of the adjustable resource load shedding, so that the electric load of the system is maximally reduced. After load shedding, if the renewable energy source power generation load is equal to the user power consumption load, the supply and demand are balanced and do not interact with the power grid; if renewable energy is excessive after load shedding, the redundant power is directly connected to the internet; if renewable energy sources are still in shortage after load shedding, insufficient power is taken from a power grid. Judging whether the regulation and control decision at all moments in the operation control period is finished, if yes, stopping calculation; otherwise, returning to the step C.

Example 1

and step A, obtaining urban and regional information of the heat pump system by adopting actual investigation, obtaining a dynamic power price policy of a power grid, renewable energy consumption requirements of the power grid and a power grid power load regulation and control target value adopted by a service user of the heat pump system, and determining regulation targets of the heat pump system participating in power grid interactive response at different moments in an operation regulation and control period (24 hours).

And B, establishing a heat pump system multi-element load demand and operation state prediction model, and determining a system initial operation strategy, a cold-hot electric load and operation parameters in an operation regulation period. The method specifically comprises the following steps:

the first step, the indoor and outdoor boundary conditions of a service user of the heat pump system directly influence the cold and hot electric load demands and the operation parameters of the system, and the outdoor meteorological parameters (temperature, humidity, wind speed, solar radiation intensity and the like) in the operation regulation period of the heat pump are predicted based on the actual historical meteorological data of the region where the heat pump system is located.

And secondly, acquiring indoor boundary condition parameters (indoor temperature, indoor humidity, equipment work and rest, lighting work and rest, behavior parameters and the like) of a user served by the heat pump system based on the heat pump system monitoring and information acquisition system.

Thirdly, based on a physical model of the heat pump system, a mathematical model for predicting the cold-heat power multi-element load demand and the running state of the heat pump system is established by adopting a simulation method, and the indoor and outdoor boundary condition prediction parameter values are imported to calculate the cold-heat demand of a user.

And fourthly, on the premise of meeting the cold and hot requirements and comfort requirements of users, establishing an initial operation strategy of the heat pump system, and calculating operation state parameters such as power load, unit load rate, water supply and return temperature and the like of the heat pump system in a simulation mode.

And C, constructing a distributed renewable energy power generation load accurate calculation method based on actual historical data and a machine learning coupling rolling optimization method, and determining the surplus time and shortage time of the distributed renewable energy and the renewable energy consumption requirement in the operation regulation period. The method specifically comprises the following steps:

the method comprises the steps of firstly, considering the characteristic of larger randomness and volatility of a renewable energy power generation system, carrying out correlation analysis on meteorological factors influencing the power generation amount of distributed renewable energy based on actual operation data of the renewable energy power generation system in the area where a heat pump system is located and an outdoor meteorological parameter actual monitoring value, and obtaining main influencing factors which are used as prediction input of power generation load.

And secondly, constructing a distributed renewable energy power generation load accurate calculation model by adopting a prediction method combining a long time scale prediction before the day and a small time scale rolling optimization in the day. And (3) constructing a future power generation prediction model by adopting a machine learning algorithm, and predicting the power generation load of the distributed renewable energy source in a future operation control period (24 hours). And taking weather data actually monitored in the day and a weather data predicted value at the next moment as inputs of a predicted model, and performing rolling optimization on the power generation load predicted value under a small time scale in the day so as to reduce errors of weather data and power generation load prediction in a long time scale before the day.

And D, analyzing the regulation technology and regulation parameters of the adjustable resources of the heat pump system, and establishing the operation regulation priority ordering of the adjustable resources of the heat pump system. The method specifically comprises the following steps:

the first step, determining adjustable resources including a heat pump system host, a transmission and distribution system, terminal equipment, energy storage equipment and the like, and analyzing the load loading and load shedding regulation technology and regulation parameters of different resources.

And secondly, predicting the regulation potential (loading adjustable power, unloading adjustable power, response speed, duration, regulation cost and the like) of each adjustable link in a future operation control period based on the operation decision of the heat pump system and the operation state parameter information of the adjustable resources under the initial operation strategy, and on the premise of meeting the requirements of regulation response speed and duration, the higher the resource operation regulation priority with high adjustable power and low regulation cost is, so that the priority of all the adjustable resources of the heat pump system is ordered.

And thirdly, when the heat pump system is operated and regulated by considering the distributed renewable energy consumption and the power grid demand response, the adjustable resources are regulated and controlled in sequence according to the resource priority order until the operation regulation target is met.

And E, considering the distributed renewable energy consumption and the adjustment targets of heat pump-power grid interaction response, and making an operation strategy of a heat pump system at the low electricity price moment and a loading, unloading and adjustment decision of the adjustable resources according to the low electricity price time interval division of the power grid, the surplus and shortage moment information of the distributed renewable energy and the adjustable resource loading adjustment priority order. The method specifically comprises the following steps:

The method comprises the steps of firstly, carrying out flexible operation decisions of a heat pump system at different moments, judging whether the moment is the off-grid electricity price moment according to the dividing condition of the peak-valley electricity price time period of a power grid, if so, further judging whether renewable energy power generation is excessive, wherein the operation principle of the heat pump system at the off-grid electricity moment is to preferentially consume off-grid electricity, and the excessive distributed renewable energy power is used for surfing the net, so that economic benefits are obtained according to the off-grid electricity price and the excessive renewable energy power surfing price difference.

And secondly, if the on-site renewable energy generating capacity is excessive at the moment, the excessive renewable energy power is on the network, and according to the adjustable resource priority order of the heat pump system, the adjustable links are sequentially called to load and increase the power load demand of the system, and the power of the power grid in the valley price period is consumed until the power grid demand response regulation target is met.

Thirdly, if the on-site renewable energy generating capacity is in shortage at the moment, the shortage electric quantity of the heat pump system is supplemented by power taking of the power grid, and according to the priority order of the adjustable resources of the heat pump system, the adjustable links are sequentially called to load and increase the power load demand of the system, and the electricity of the power grid in the valley price period is consumed until the power grid demand response regulation target is met.

And step F, based on the grid price reduction time period division condition, distributed renewable energy surplus and shortage time information, distributed renewable energy consumption and heat pump-power grid interaction response adjustment targets and adjustable resource adjustment loading and load reduction priority order, an operation strategy and load reduction adjustment decision of a price reduction time heat pump system are formulated. The method specifically comprises the following steps:

and judging whether the power generation of the renewable energy source is excessive or not if the power generation of the renewable energy source is at the power-off time, wherein the operation principle of the heat pump system at the power-off time is to preferentially consume the distributed renewable energy source power.

And secondly, if the on-site renewable energy generating capacity is excessive at the moment, sequentially regulating and controlling each link and equipment according to the adjustable resource loading regulation priority order, and improving the power load requirement of the system and the self-consumption of renewable energy. After loading and adjusting, if the renewable energy power is equal to the power consumption of a user, the supply and demand are balanced; if renewable energy sources are still excessive after loading adjustment, redundant power is directly connected to the internet. The calculation expression of the load-loading and the interaction load between the service user of the heat pump system and the power grid after regulation is as follows:

P _up,t ＝min((P _res,t -P _de,t ),P _up,max ) (1)

P _int,t ＝P _de,t -P _res,t +P _up,t (2)

Wherein P is _up,t For the total loading power load of the heat pump system at the time of the flat period t, P _up,max For maximum loading of the heat pump system at the time of the reduced price period t, P _de,t Service user total power demand for heat pump system in power grid flat period t moment, P _res,t Generating an electrical load for a time-of-day t-time distributed renewable energy source, P _int,t And (5) providing a service user of the heat pump system with the power grid interactive load at the moment t of the power grid price reduction period, wherein a negative value represents surfing the Internet, and a positive value represents power taking of the power grid.

And thirdly, if the on-site renewable energy source is in shortage in power generation at the moment, sorting according to the adjustable resource load reducing adjustment priority, and preferentially adopting links and equipment with large adjustable potential, so as to reduce the power load of the system and promote the balance of the power load of a user and the power generation load of the renewable energy source. And if renewable energy sources are in shortage after load shedding adjustment, insufficient power is taken from a power grid. The calculation expression of the load interaction between the service user of the heat pump system after load shedding and adjustment and the power grid is as follows:

P _int,t ＝P _de,t -P _res,t -P _down,t (3)

wherein P is _int,t And (5) providing a service user of the heat pump system with the power grid interactive load at the moment t of the power grid price reduction period, wherein a negative value represents surfing the Internet, and a positive value represents power taking of the power grid. P (P) _de,t Service user total power demand for heat pump system in power grid flat period t moment, P _res,t Generating an electrical load for a time-of-day t-time distributed renewable energy source, P _down,t And (5) reducing the electric load for the heat pump system at the time of the price reduction period t.

And G, based on the peak and peak electricity price time period information of the power grid, the surplus and shortage conditions of the distributed renewable energy source power generation, the distributed renewable energy source consumption and power grid demand response regulation targets and the adjustable resource load shedding regulation priority, setting an operation strategy and a load shedding regulation decision of the heat pump system at the peak and peak time, and reducing the power grid power taking load of the heat pump system at the peak and peak time. The method specifically comprises the following steps:

and judging whether the power grid peak electricity price moment is the electricity grid peak electricity price moment, if so, further judging whether the renewable energy source electricity generation is excessive, determining the operation principle of the heat pump system at the peak and peak electricity price moment to be to preferentially consume the distributed renewable energy source electricity, directly surfing the Internet by the excessive electricity generation amount, and reducing the electricity taking load of the power grid.

And step two, if the power generation amount of the distributed renewable energy sources is excessive at the moment, sorting according to the loading adjustment priority of the adjustable resources, preferentially adopting links and equipment with large adjustment potential, increasing the power consumption requirement of a heat pump system, consuming the power of the distributed renewable energy sources, improving the balance between the power generation of the renewable energy sources and the power consumption of users, and directly surfing the internet by the excessive renewable energy sources after the loading adjustment. The calculation expressions of the load adjusting power and the interaction load between the service user of the heat pump system and the power grid after the adjustment are shown as formulas (1) and (2):

P _up,t ＝min((P _res,t -P _de,t ),P _up,max ) (1)

P _int,t ＝P _de,t -P _res,t +P _up,t (2)

And thirdly, if the distributed renewable energy source is in electric shortage at the moment, sorting according to the adjustable resource load shedding adjustment priority, and preferentially adopting links and equipment with large adjustment potential, so as to maximally reduce the electric load demand of the system. The calculation expression of the load interaction load between the service user of the heat pump system after load shedding and adjustment and the power grid is shown in a formula (3). After load shedding, if the renewable energy power generation load is equal to the user power consumption load, the supply and demand are balanced, and the user does not interact with the power grid; if renewable energy is excessive after load shedding, the redundant power is directly connected to the internet; if renewable energy sources are still in shortage after load shedding, insufficient power is taken from a power grid. The calculation expression of the load interaction between the service user of the heat pump system after load shedding and adjustment and the power grid is as follows:

P _int,t ＝P _de,t -P _res,t -P _down,t (3)

Example 2

Referring to fig. 1, an embodiment of the present invention provides a flexible operation method of a heat pump system considering renewable energy consumption, where a method flow includes steps 1 to 7, and the specific implementation manner is as follows:

step 1, obtaining city and area information of a heat pump system by actual investigation, obtaining a dynamic power price policy of a power grid, renewable energy source absorption requirements of the power grid and a power grid power load regulation and control target adopted by a service user of the heat pump system, and determining regulation targets of interaction responses of the heat pump system and the power grid at different moments in an operation regulation and control period (24 hours).

And 2, establishing a heat pump system multi-element load demand and operation state prediction model, and determining an initial operation strategy, a cold-hot electric load and operation parameters of the system in an operation regulation period. Consists of 4 substeps:

Step 21, the indoor and outdoor boundary conditions of the service users of the heat pump system directly influence the cold and hot electric load demands and the operation parameters of the system, and the outdoor meteorological parameters (temperature, humidity, wind speed, solar radiation intensity and the like) in the operation regulation period are predicted and determined based on the actual historical meteorological data of the region where the heat pump system is located.

Step 22, acquiring indoor boundary condition parameters (indoor temperature, indoor humidity, equipment work and rest, lighting work and rest, behavior parameters and the like) of a user served by the heat pump system based on the heat pump system monitoring and information acquisition system.

And step 23, based on a physical model of the heat pump system, establishing a heat pump system cold-heat power multi-element load demand and running state prediction mathematical model by adopting a simulation method, importing indoor and outdoor boundary condition prediction parameter values, and calculating the cold-heat demand of a user.

And step 24, on the premise of meeting the cold and hot requirements and comfort requirements of users, establishing an initial operation strategy of the heat pump system, and calculating operation state parameters such as power load, unit load rate, water supply and return temperature and the like of the heat pump system in a simulation manner.

And 3, constructing a distributed renewable energy power generation load accurate calculation method based on the actual historical data and a machine learning coupling rolling optimization method, and determining renewable energy surplus time and shortage time and renewable energy consumption requirements in an operation regulation period. Consists of 3 substeps:

And step 31, taking the characteristic of larger randomness and volatility of the renewable energy power generation system into consideration, and carrying out correlation analysis on meteorological factors influencing the generated energy based on actual operation data of the renewable energy power generation system in the area where the heat pump system is located and actual monitoring values of outdoor meteorological parameters to obtain main influencing factors and taking the main influencing factors as input of power generation load prediction.

And step 32, constructing a distributed renewable energy power generation load accurate calculation model by adopting a prediction method combining the long time scale prediction before the day and the small time scale rolling optimization in the day. And (3) constructing a future power generation prediction model by adopting a machine learning algorithm, and predicting the power generation load of the distributed renewable energy source in a future operation control period (24 hours). And taking weather data actually monitored in the day and a weather data predicted value at the next moment as inputs of a predicted model, and performing rolling optimization on the power generation load predicted value under a small time scale in the day so as to reduce errors of weather data and power generation load prediction in a long time scale before the day.

And 33, judging the magnitude relation between the electricity load demand of a user served by the heat pump and the on-site electricity generation load based on the electricity load of the heat pump system which is predicted by simulation and the distributed renewable energy source electricity generation load which is predicted accurately, and determining the surplus time and the shortage time of renewable energy sources in the operation control period.

And 4, analyzing the regulation technology and regulation parameters of the adjustable resources of the heat pump system, and establishing the operation regulation priority order of the adjustable resources of the heat pump system. Consists of 3 substeps:

step 41, determining adjustable resources including a heat pump system host, a transmission and distribution system, terminal equipment, energy storage equipment and the like, analyzing the regulation and control technology and regulation parameters of loading load and unloading load of different resources, and the technical parameters of the adjustable resources of the heat pump system are shown in table 1.

TABLE 1 Heat Pump System Adjustable resource and operating control parameters thereof

Step 42, based on the operation decision of the heat pump system and the operation state parameter information of the adjustable resources under the initial operation strategy, predicting the control potential (loading adjustable power, unloading adjustable power, response speed, duration, control cost and the like) of each adjustable link in the future operation control period, and on the premise of meeting the requirements of the control response speed and duration, the higher the resource operation control priority with high adjustable power and low control cost is, so as to order the priority of all the adjustable resources of the heat pump system.

And 43, when the heat pump system is operated and regulated by considering the distributed renewable energy consumption and the power grid demand response, the adjustable resources are regulated and controlled in sequence according to the resource priority order until the operation regulation target is met.

And 5, taking the distributed renewable energy consumption and power grid demand response regulation targets into consideration, and formulating an operation strategy of the heat pump system at the low electricity price moment and a loading and unloading regulation decision of the adjustable resources according to the low electricity price time interval division of the power grid, the surplus and shortage moment information of the distributed renewable energy and the loading regulation priority sequence of the adjustable resources, wherein a logic diagram of the operation control of the heat pump system based on the power grid demand response and the renewable energy consumption is shown in fig. 2. This step consists of 4 sub-steps:

and 51, judging whether the moment is the low-valley electricity price moment according to the dividing condition of the peak-valley electricity price time period of the power grid, if so, further judging whether the renewable energy source is excessive in power generation, wherein the operation principle of the heat pump system at the low-valley electricity moment of the power grid is to preferentially consume the low-valley electricity of the power grid, and the excessive distributed renewable energy source is used for surfing the internet to obtain economic benefits according to the low-valley electricity price and the excessive renewable energy source.

And 52, if the on-site renewable energy generating capacity is excessive at the moment, the excessive renewable energy power is on the network, and according to the adjustable resource priority order of the heat pump system, the adjustable links are sequentially called to load and increase the power load demand of the system, and the grid power in the valley price period is consumed until the grid demand response regulation target is met.

And step 53, if the on-site renewable energy generating capacity is in shortage at the moment, the shortage electric quantity of the heat pump system is supplemented by power taking of the power grid, and the power load demand of the system is increased by sequentially calling adjustable links according to the priority order of the adjustable resources of the heat pump system, so that the power in the valley price period of the power grid is consumed until the power grid demand response regulation target is met.

And 54, if the grid electricity consumption time is at the off-grid electricity consumption time, entering a grid electricity consumption time period judging program.

And 6, based on the grid price reduction period division condition, the distributed renewable energy surplus and shortage time information, the distributed renewable energy consumption and grid demand response regulation targets and the adjustable resource regulation loading and unloading priority order, making an operation strategy and a load and unload regulation decision of the heat pump system at the price reduction time, and based on the grid demand response and the renewable energy consumption, a heat pump system control logic diagram is shown in fig. 2. This step consists of 4 sub-steps:

step 61, judging whether the power is at the power-on time, if so, further judging whether the renewable energy power generation is excessive, wherein the operation principle of the heat pump system at the power-on time is to preferentially consume the distributed renewable energy power.

And step 62, if the on-site renewable energy generating capacity is excessive at the moment, sequentially regulating and controlling each link and equipment according to the adjustable resource loading regulation priority order, and improving the power load requirement of the system and the self-consumption of renewable energy. After loading and adjusting, if the renewable energy power is equal to the power consumption of a user, the supply and demand are balanced; if renewable energy sources are still excessive after loading adjustment, redundant power is directly connected to the internet. The calculation expression of the load-loading and the interaction load between the service user of the heat pump system and the power grid after regulation is as follows:

P _up,t ＝min((P _res,t -P _de,t ),P _up,max ) (1)

P _int,t ＝P _de,t -P _res,t +P _up,t (2)

And 63, if the on-site renewable energy source is in shortage in power generation at the moment, sorting according to the adjustable resource load shedding adjustment priority, and preferentially adopting links and equipment with large adjustable potential, so as to reduce the power load of the system and promote the balance of the power load of a user and the power generation load of the renewable energy source. And if renewable energy sources are in shortage after load shedding adjustment, insufficient power is taken from a power grid. The calculation expression of the load interaction between the service user of the heat pump system after load shedding and adjustment and the power grid is as follows:

P _int,t ＝P _de,t -P _res,t -P _down,t (3)

And step 64, if the moment is not in the flat period, entering a peak power period judging program.

And 7, based on the peak and peak electricity price period information of the power grid, the surplus and shortage conditions of the distributed renewable energy source, the distributed renewable energy source consumption and power grid demand response regulation targets and the adjustable resource load shedding regulation priority, setting an operation strategy and a load shedding regulation decision of the heat pump system at the peak and peak time, and reducing the power grid electricity taking load of the heat pump system at the peak and peak time, wherein a control logic diagram of the heat pump system based on the power grid interaction response targets and the renewable energy source consumption demands is shown in fig. 2. This step consists of 4 sub-steps:

and step 71, judging whether the power grid peak electricity price moment is the electricity grid peak electricity price moment, if so, further judging whether the renewable energy source electricity generation is excessive, wherein the operation principle of the heat pump system at the peak and peak electricity price moment is to preferentially consume the distributed renewable energy source electricity, the excessive electricity generation amount is directly connected to the internet, and the electricity taking load of the power grid is reduced.

Step 72, if the distributed renewable energy generating capacity is excessive at the moment, sorting according to the adjustable resource loading adjustment priority, preferentially adopting links and equipment with large adjustment potential, increasing the power consumption requirement of a heat pump system, consuming the distributed renewable energy power, improving the balance of the renewable energy power generation and the power consumption supply and demand of users, and directly surfing the internet by the excessive renewable energy power after loading adjustment. And (3) loading the regulated power and calculating expressions of the interaction load of the service user of the heat pump system and the power grid after regulation are shown as formulas (1) and (2).

Step 73, if the distributed renewable energy source is in electric shortage at the moment, sorting according to the adjustable resource load shedding adjustment priority, and preferentially adopting links and equipment with large adjustment potential, so as to maximally reduce the electric load demand of the system. The calculation expression of the load interaction load between the service user of the heat pump system after load shedding and adjustment and the power grid is shown in a formula (3). After load shedding, if the renewable energy power generation load is equal to the user power consumption load, the supply and demand are balanced, and the user does not interact with the power grid; if renewable energy is excessive, the excessive power is directly connected to the internet; if renewable energy is still in shortage, insufficient power is taken from the grid.

Step 74, judging whether the regulation and control decision at all times in the operation control period is finished, if yes, stopping calculation; otherwise, returning to the step 3.

The invention provides a flexible operation method of a heat pump system considering renewable energy consumption, which breaks through the problems that the flexibility of the heat pump system is not fully utilized, the power grid demand response is difficult to participate, the distributed renewable energy source is not matched with the power supply and demand of a user, and the like, and forms a solution of 'explicit power grid demand response regulation target-heat pump system load demand and operation state prediction-distributed renewable energy power generation load accurate calculation-heat pump system adjustable resource regulation priority ordering-determination of the operation strategy of the heat pump system and adjustable resource load and load addition regulation decision'. The method considers the distributed renewable energy consumption and the power grid interactive response regulation targets, and establishes the operation strategy of the heat pump system and the loading and unloading regulation decision of the adjustable resources according to the low-valley electricity price, flat-section electricity price, peak electricity price time interval division, distributed renewable energy surplus and shortage time information and the adjustable resource loading regulation priority, thereby having extremely strong operability, replicability popularization and scientific accuracy. The flexible operation method of the heat pump system for taking the renewable energy into consideration can guide the flexible operation of the system, responds to the power grid and the distributed renewable energy consumption demands, is beneficial to operation management personnel, load agents, load aggregators and power grid side dispatching demand side heat pump flexible resources of the heat pump system and the distributed renewable energy system, fully utilizes adjustable potential and relieves the contradiction between supply and demand of the low-carbon energy system.

The application provides an electronic device, which comprises a memory and a processor, wherein the memory stores a computer program, and the processor realizes the steps of the flexible operation method of the heat pump system considering renewable energy consumption when executing the computer program.

The present application proposes a computer readable storage medium for storing computer instructions which, when executed by a processor, implement the steps of the flexible operating method of a heat pump system taking into account renewable energy consumption.

The memory in embodiments of the present application may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The nonvolatile memory may be a Read Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an electrically Erasable EPROM (EEPROM), or a flash memory. The volatile memory may be random access memory (random access memory, RAM) used as external cache. By way of example, and not limitation, many forms of RAM are available, such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous DRAM (SLDRAM), and direct memory bus RAM (DR RAM). It should be noted that the memory of the methods described herein is intended to comprise, without being limited to, these and any other suitable types of memory.

In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be in whole or in partAnd is implemented in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer instructions are loaded and executed on a computer, the processes or functions described in accordance with embodiments of the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by a wired (e.g., coaxial cable, fiber optic, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains an integration of one or more available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., high-density digital video disc (digital video disc) _e o disc, DVD)), or a semiconductor medium (e.g., solid State Disk (SSD)), or the like.

In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or by instructions in the form of software. The steps of a method disclosed in connection with the embodiments of the present application may be embodied directly in a hardware processor for execution, or in a combination of hardware and software modules in the processor for execution. The software modules may be located in a random access memory, flash memory, read only memory, programmable read only memory, or electrically erasable programmable memory, registers, etc. as well known in the art. The storage medium is located in a memory, and the processor reads the information in the memory and, in combination with its hardware, performs the steps of the above method. To avoid repetition, a detailed description is not provided herein.

It should be noted that the processor in the embodiments of the present application may be an integrated circuit chip with signal processing capability. In implementation, the steps of the above method embodiments may be implemented by integrated logic circuits of hardware in a processor or instructions in software form. The processor may be a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, or discrete hardware components. The disclosed methods, steps, and logic blocks in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present application may be embodied directly in the execution of a hardware decoding processor, or in the execution of a combination of hardware and software modules in a decoding processor. The software modules may be located in a random access memory, flash memory, read only memory, programmable read only memory, or electrically erasable programmable memory, registers, etc. as well known in the art. The storage medium is located in a memory, and the processor reads the information in the memory and, in combination with its hardware, performs the steps of the above method.

The above describes in detail a heat pump system flexible operation method taking into account renewable energy consumption, and specific examples are applied to illustrate the principles and embodiments of the present invention, and the above examples are only used to help understand the method and core idea of the present invention; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present invention, the present description should not be construed as limiting the present invention in view of the above.

Claims

1. A flexible operation method of a heat pump system considering renewable energy consumption is characterized in that: the method comprises the following steps:

2. The method according to claim 1, characterized in that: the step B specifically comprises the following steps:

3. The method according to claim 1, characterized in that: the step C specifically comprises the following steps:

4. The method according to claim 1, characterized in that: the step D specifically comprises the following steps:

5. The method according to claim 1, characterized in that: the step E specifically comprises the following steps:

the method comprises the steps of firstly, judging whether the moment is low-valley electricity price moment according to the dividing condition of the peak-valley electricity price period of a power grid, if so, further judging whether renewable energy power generation is excessive, wherein the operation optimization principle of a heat pump system at the valley electricity moment of the power grid is to preferentially consume low-valley electricity of the power grid, and the excessive distributed renewable energy power is on the net, so that economic benefits are obtained according to the low-valley electricity price and the excessive renewable energy power on-net electricity price difference;

6. The method according to claim 1, characterized in that: the step F specifically comprises the following steps:

7. The method according to claim 6, wherein: the calculation expression of the load-loading and the interaction load between the service user of the heat pump system and the power grid after regulation is as follows:

P _up，t ＝min((P _res，t -P _de，t )，P _up，max ) (1)

P _int，t ＝P _de，t -P _res，t +P _up，t (2)

wherein P is _up，t For the total power load loaded by the heat pump system at the moment of the low price period t, P _up，max For maximum loading of the heat pump system at the time of the reduced price period t, P _de，t Service user total power demand for heat pump system in power grid flat period t moment, P _res，t Generating an electrical load for a time-of-day t-time distributed renewable energy source, P _int，t The heat pump system service user and the power grid interaction load are used for the power grid low price period t moment, a negative value represents surfing the internet, and a positive value represents power grid electricity taking;

P _int，t ＝P _de，t -P _res，t -P _down，t (3)

Wherein P is _int，t The heat pump system service user and the power grid interaction load are used for the power grid low price period t moment, a negative value represents surfing the internet, and a positive value represents power grid electricity taking; p (P) _de，t Service user total power demand for heat pump system in power grid flat period t moment, P _res，t Generating an electrical load for a time-of-day t-time distributed renewable energy source, P _down，t And (5) reducing the electric load for the heat pump system at the time of the price reduction period t.

8. The method according to claim 1, characterized in that: the step G specifically comprises the following steps:

the method comprises the steps of firstly, judging whether the power grid peak electricity price moment is the electricity grid peak electricity price moment, if so, further judging whether the renewable energy source electricity generation is excessive, wherein the operation principle of a heat pump system at the peak and peak electricity price moment is to consume distributed renewable energy source electricity preferentially, the excessive electricity generation amount is directly connected to the internet, and the electricity taking load of the power grid is reduced;

9. An electronic device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1-8 when the computer program is executed.

10. A computer readable storage medium storing computer instructions which, when executed by a processor, implement the steps of the method of any one of claims 1-8.