CN113591335B - Power grid heat supply network coupling-oriented electric heating and heat supplementing planning configuration method and system - Google Patents
Power grid heat supply network coupling-oriented electric heating and heat supplementing planning configuration method and system Download PDFInfo
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Abstract
The invention relates to the technical field of heat supply, and particularly provides a power grid heating network coupling-oriented electric heating and heat supplementing planning configuration method and system, which comprise the following steps: solving a pre-established electric heating and heat supplementing planning configuration model to obtain a configuration scheme of heating equipment and heat storage equipment; selecting the heating equipment and/or the heat storage equipment matched with the configuration scheme as the heating equipment and/or the heat storage equipment deployed in the heat exchange station; the target transformer substation is the transformer substation which is closest to the heat exchange station in the transformer substations meeting the maximum openable capacity constraint of the transformer substations. The technical scheme provided by the invention solves the problems of shortage of heat sources, large carbon emission of traditional municipal heating, poor tail end heating effect and the like, is favorable for promoting new energy consumption, reduces the emission of atmospheric pollutants and carbon dioxide, and realizes the win-win situation of power grid enterprises, heating power enterprises and users.
Description
Technical Field
The invention relates to the technical field of heat supply, in particular to a power grid heating network coupling-oriented electric heating and heat supplementing planning configuration method and system.
Background
In the heating field, municipal central heating is the main part, and the stock and the demand are huge. Compared with the rapidly developed urban construction, the municipal heat supply construction in northern China is relatively lagged, and is influenced by energy double control and coal consumption reduction, so that the municipal heat supply commonly has heat source and heat supply network gaps. Meanwhile, as the construction of heat sources is limited by objective conditions such as fields and energy supply, and the heat loss of the municipal primary and secondary pipe network with large amount is about 10-20% (even up to 30%), the problems of gaps of the heat sources and heat networks are more serious, the heating effect at the tail end is difficult to guarantee, and the pressure of the heat preservation of people in the heating period is increased. The traditional municipal heating heat source usually adopts coal and natural gas, and the carbon emission is huge; in addition, the existing natural gas in China has less storage amount, and is imported for a long time, the phenomenon of 'gas shortage' often appears in the heating season, and the energy safety and the heating stability have great challenges.
In recent years, clean heating is greatly promoted to change coal into electricity in northern areas, but the problem of dependence on financial subsidies and poor economy exists in the process of changing coal into electricity, the matching investment of a power grid is large, the maximum load utilization hours is only about 1000 hours as a typical seasonal electric heating load, and social resources are wasted to a certain extent.
Disclosure of Invention
In order to overcome the defects, the invention provides a power grid heating network coupling-oriented electric heating and heat supplementing planning configuration method and system.
In a first aspect, a method for planning and configuring electric heating and heat supplementing for power grid and heat supply network coupling is provided, and the method for planning and configuring electric heating and heat supplementing for power grid and heat supply network coupling comprises:
solving a pre-established electric heating and heat supplementing planning configuration model to obtain a configuration scheme of heating equipment and heat storage equipment;
selecting the heating equipment and/or the heat storage equipment matched with the configuration scheme as the heating equipment and/or the heat storage equipment deployed in the heat exchange station;
the pre-established electric heating and heat supplementing planning configuration model comprises the following steps: an objective function configured for the heat exchange station and aiming at minimizing carbon emission in a set time period, and a constraint condition configured for the heat exchange station.
Preferably, the configuration scheme comprises at least one of the following: the type of the heating device, the type of the thermal storage device, the operating power of the heating device, the output power of the thermal storage device, the input power of the thermal storage device, the maximum capacity of the heating device, and the maximum capacity of the thermal storage device.
Further, the constraint condition includes at least one of: the method comprises the following steps of heat load demand constraint, space allowance constraint of a heat exchange station, maximum openable capacity constraint of a transformer substation, maximum capacity constraint of heating equipment, maximum capacity constraint of heat storage equipment, maximum output power constraint of the heating equipment, maximum output power constraint of the heat storage equipment and maximum input power constraint of the heat storage equipment.
Further, the objective function is calculated as follows:
in the above formula, E co T is the number of operating hours of heating equipment, n is the total number of the heating equipment,P it H for the operating power of the ith heating installation at time t, u e Carbon emission coefficients are supplied for electric power.
Further, the power supply carbon emission coefficient u e Is calculated as follows:
in the above formula, k avc Average standard coal consumption, q, for power generation in heat supply areas ncv Is the lower calorific value of the standard coal, beta co Is the carbon content of the standard coal, m cor The carbon oxidation rate of the standard coal combustion.
Further, the maximum openable capacity constraint of the substation is calculated as follows:
in the above formula, n is the total number of the heating equipment,P it H for the operating power of the ith heating equipment at the t moment,P t tr the maximum openable capacity of the substation at the moment t.
Further, the maximum openable capacity of the transformer substation at the time tP t tr Is calculated as follows:
P t tr = P e max - P e t
in the above formula, the first and second carbon atoms are,P e max the maximum capacity of the transformer in the target substation corresponding to the heat exchange station,P e t and the actual electrical load of a target transformer substation corresponding to the heat exchange station at the time t is obtained, wherein the target transformer substation is adopted as an internal equipment power supply of the heat exchange station, and the target transformer substation is the transformer substation which is closest to the heat exchange station in the transformer substations meeting the maximum openable capacity constraint of the transformer substations.
Further, the thermal load demand constraint is calculated as follows:
in the above formula, n is the total number of heating equipment, u i For the heating efficiency of the ith heating apparatus,P jtout for the thermal storage apparatus j at time tThe output power of the power generator is output,P jtin is the input power at time t of the thermal storage device j,P needt for the thermal load demand at time t,P it H the operating power at the t moment of the ith heating equipment.
Further, the thermal load demand at the time tP needt The acquisition process comprises the following steps:
clustering the heat load curves of all users corresponding to the heat exchange station by using a K-means clustering algorithm to obtain a clustering result;
acquiring the heat load demand at the t moment from the class of heat load curves with the largest data volume of the heat load curves in the clustering resultP needt ；
Wherein the user comprises a building unit or a building set.
Further, the actual electric load of the target substation corresponding to the heat exchange station at the time tP e t The acquisition process comprises the following steps:
clustering the actual electric load curve of the target transformer substation corresponding to the heat exchange station by using a K-means clustering algorithm to obtain a clustering result;
acquiring the actual electric load of the target transformer substation corresponding to the heat exchange station at the time t from the actual electric load curve of the class of target transformer substations with the largest data volume of the actual electric load curve in the clustering resultP e t ；
Wherein the user comprises a building unit or a building set.
In a second aspect, an electric heating and heat supplementing planning and configuration system for power grid heat supply network coupling is provided, and the electric heating and heat supplementing planning and configuration system for power grid heat supply network coupling includes:
the system comprises an acquisition module, a storage module and a control module, wherein the acquisition module is used for solving a pre-established electric heating and heat supplementing planning configuration model and acquiring a configuration scheme of heating equipment and heat storage equipment;
the planning module is used for selecting the heating equipment and/or the heat storage equipment matched with the configuration scheme as the heating equipment and/or the heat storage equipment deployed in the heat exchange station;
the method comprises the following steps that a target transformer substation is adopted as an internal equipment power supply of the heat exchange station, and the pre-established electric heating and heat supplementing planning configuration model comprises the following steps of: an objective function configured for the heat exchange station and aiming at minimizing carbon emission in a set time period, and a constraint condition configured for the heat exchange station.
In a third aspect, a heat exchange system based on the configuration method for electric heating and heat supplementing planning for power grid heat supply network coupling is provided, where the system includes: and the heating equipment and/or the heat storage equipment are matched with the configuration scheme.
In a fourth aspect, a storage medium is provided, where the storage medium includes a stored program, and when the program runs, a device where the storage medium is located is controlled to execute the configuration method for planning and configuring electric heating and heat supplementing for power grid and heat supply network coupling.
In a fifth aspect, a processor is provided, where the processor is configured to execute a program, where the program executes the configuration method for electric heating and concurrent heating plan for grid and heat supply network coupling when running.
One or more technical schemes of the invention at least have one or more of the following beneficial effects:
the invention provides a power grid heat supply network coupling-oriented electric heating and heat supplementing planning configuration method, which comprises the following steps: solving a pre-established electric heating and heat supplementing planning configuration model to obtain a configuration scheme of heating equipment and heat storage equipment; selecting the heating equipment and/or the heat storage equipment matched with the configuration scheme as the heating equipment and/or the heat storage equipment deployed in the heat exchange station; the method comprises the following steps that a target transformer substation is adopted as an internal equipment power supply of the heat exchange station, the target transformer substation is a transformer substation which is closest to the heat exchange station in the transformer substations meeting space allowance constraints of the heat exchange station, and the pre-established electric heating heat supplementing planning configuration model comprises the following steps: an objective function configured for the heat exchange station and aiming at minimizing carbon emission in a set time period, and a constraint condition configured for the heat exchange station. In the technical scheme, after the heating equipment and the heat storage equipment are deployed based on the solved configuration scheme, the problems of shortage of municipal heating heat sources and overhigh dependence of fossil fuels can be solved, and the heating pressure of a heating power enterprise is effectively relieved;
furthermore, an internal equipment power supply of the heat exchange station adopts a principle of proximity, and in order to meet the requirement of a transformer substation with the maximum openable capacity constraint of the transformer substation, the transformer substation closest to the heat exchange station contributes to reducing the peak-valley difference of a power grid, improves the operating efficiency and stock resource utilization rate of the power grid, optimizes an energy structure and promotes new energy consumption.
Furthermore, the electric heating and heat supplementing planning configuration model in the scheme aims at minimizing annual carbon emission, is beneficial to reducing the emission of environmental pollutants and carbon dioxide, and helps to realize the aims of carbon peak reaching and carbon neutralization.
Furthermore, the technical scheme provided by the invention comprehensively considers the thermoelectric load data of different types of users in residential areas, commercial bodies, office buildings, hospitals and the like, and constructs the constraint conditions of the electric heating and heat supplementing planning and configuration model based on the thermoelectric load data, so that the electric heating and heat supplementing planning and configuration scheme can support different application scenes.
Drawings
Fig. 1 is a schematic structural diagram of an application scenario of a heating system according to an embodiment of the present invention;
fig. 2 is a schematic flow chart illustrating main steps of a power grid heat supply network coupling-oriented electric heating and heat supplementing planning configuration method according to an embodiment of the present invention;
fig. 3 is a main structural block diagram of an electric heating and heat supplementing planning and configuration system for power grid heat supply network coupling according to an embodiment of the present invention.
Detailed Description
The following describes embodiments of the present invention in further detail with reference to the accompanying drawings.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Some terms to which the invention relates are explained first:
heat exchange station City heat exchange station
The intermediate place for heat exchange between the heat source and the user is the connection intersection of the primary pipe network and the secondary pipe network.
Plate heat exchanger
The plate heat exchanger is a device for exchanging heat between a primary pipe network and a secondary pipe network, and the primary pipe network transfers the heat on the heat source side to the secondary pipe network through the plate heat exchanger.
Primary pipe network
The primary pipe network is a circulating pipeline connected from a heat source to the heat exchange station, and heat is transferred to the secondary pipe network at the heat exchange station through the heat exchanger.
Secondary pipe network Secondary pipe network
The secondary pipe network is a circulating pipeline connected from the heat exchange station to the tail end of a user, obtains heat of the primary pipe network through the plate heat exchanger, and transmits the heat on the heat source side to the user.
In one application scenario of the present invention, as shown in fig. 1, the municipal heat supply includes a heat source side, a primary pipe network, a heat exchange station, a secondary pipe network, and a user side, where the heat source side is a thermal power plant, which generally includes a gas turbine, a cogeneration unit, and other heat supply units; the heat exchange station is positioned in an intermediate place for heat exchange between a heat source and a user and is a connection intersection of a primary pipe network and a secondary pipe network; the heat exchange station comprises a plate heat exchanger, a primary water outlet pipe return pipe, a secondary water outlet return pipe, a water pump and the like, wherein the schematic diagram only indicates the plate heat exchanger, the plate heat exchanger is a device for exchanging heat between a primary pipe network and a secondary pipe network, and the primary pipe network transmits the heat at the heat source side to the secondary pipe network through the plate heat exchanger; the primary pipe network is a circulating pipeline connected from a heat source to the heat exchange station, and heat is transferred to the secondary pipe network at the heat exchange station through the heat exchanger; the secondary pipe network is a circulating pipeline connected from the heat exchange station to the tail end of a user, obtains heat of the primary pipe network through the plate heat exchanger, and transmits the heat on the heat source side to the user; in fig. 1, a node at a is that the effluent of the secondary pipe network is distributed to different users, and a node at b is that the backwater of different users is collected and then flows back to the plate heat exchanger; the user side comprises a plurality of users such as a user 1, a user 2, a user 8230, a user n and the like, and for the heat exchange station, the end users supplying heat are often of the same type and can be divided into residential districts, businesses, hospitals and the like.
In the application environment shown in fig. 1, an optimal device type and capacity configuration scheme of the heat exchange station heating device and the heat storage device is calculated by an electric heating and heat supplementing planning configuration method facing the power grid heat supply network coupling, and the matched heating device and heat storage device are deployed inside the heat exchange station;
specifically, as shown in fig. 2, the method for configuring the electric heating and heat supplementing plan for coupling the power grid and the heat supply network in the embodiment of the present invention mainly includes the following steps:
step S101: solving a pre-established electric heating and heat supplementing planning configuration model to obtain a configuration scheme of heating equipment and heat storage equipment; the solving method can adopt a particle swarm optimization algorithm;
step S102: selecting the heating equipment and/or the heat storage equipment matched with the configuration scheme as the heating equipment and/or the heat storage equipment deployed in the heat exchange station;
the heat exchange stations are widely distributed in cities, hundreds of heat exchange stations exist in a certain city, each heat exchange station is responsible for a heat supply area, the connection of the heat exchange stations at all the distributed places forms a topological structure of a local heat supply network, similarly, the connection of the substations at all the distributed places forms a topological structure of a local power grid, and the substations with the surplus correspond to the nearby heat exchange stations by analyzing the surplus condition of the capacity of the substations and utilizing the nearby supply principle.
After the topological structures of a regional heat supply network and a regional power grid are mastered, because the heating equipment and the heat storage equipment are deployed in the heat exchange station, the problem of power supply is involved, and the core thought of the method is to fully utilize the stock resources of the power grid and consider the cost of cable laying, the heat exchange station and the transformer substation with the surplus capacity are corresponded by utilizing the principle of near supply, and the preliminary point selection of a project is completed. Therefore, the internal equipment power supply of the heat exchange station adopts a target transformer substation, and the target transformer substation is the transformer substation which is closest to the heat exchange station in the transformer substations meeting the maximum openable capacity constraint of the transformer substations; in one embodiment, the configuration scheme includes at least one of: the type of the heating apparatus, the type of the thermal storage apparatus, the operating power of the heating apparatus, the output power of the thermal storage apparatus, the input power of the thermal storage apparatus, the maximum capacity of the heating apparatus, and the maximum capacity of the thermal storage apparatus.
In one embodiment, the pre-established electric heating and heat supplementing plan configuration model includes:
an objective function configured for the heat exchange station and aiming at the minimum annual carbon emission and a constraint condition configured for the heat exchange station;
wherein the constraint condition comprises at least one of: the method comprises the following steps of heat load demand constraint, space allowance constraint of a heat exchange station, maximum openable capacity constraint of a transformer substation, maximum capacity constraint of heating equipment, maximum capacity constraint of heat storage equipment, maximum output power constraint of the heating equipment, maximum output power constraint of the heat storage equipment, maximum input power constraint of the heat storage equipment and heat load demand.
Further, the objective function is calculated as follows:
in the above formula, E co T is the number of operating hours of heating equipment, n is the total number of the heating equipment,P it H for the operating power of the ith heating installation at the time t u e Carbon emission coefficients are supplied for electric power.
Wherein the power supply carbon emission coefficient u e Is calculated as follows:
in the above formula, k avc Average standard coal consumption, q, for power generation in heat supply areas ncv Is the lower calorific value of the standard coal, beta co Is the carbon content of the standard coal, m cor The carbon oxidation rate of combustion of the standard coal.
The calculation formula of the maximum openable capacity constraint of the transformer substation is as follows:
in the above formula, n is the total number of the heating equipment,P it H for the operating power of the ith heating equipment at the t moment,P t tr the maximum openable capacity of the substation at the time t is obtained.
Further, the maximum openable capacity of the transformer substation at the time tP t tr Is calculated as follows:
P t tr = P e max - P e t
in the above formula, the first and second carbon atoms are,P e max the maximum capacity of the transformer in the target substation corresponding to the heat exchange station,P e t and the actual electrical load of a target transformer substation corresponding to the heat exchange station at the time t is obtained, wherein the target transformer substation is adopted as an internal equipment power supply of the heat exchange station, and the target transformer substation is the transformer substation which is closest to the heat exchange station in the transformer substations meeting the maximum openable capacity constraint of the transformer substations.
Wherein the thermal load demand constraint is calculated as follows:
in the above formula, n is the total number of heating equipment, u i For heating of the i-th heating apparatusThe efficiency of the device is improved,P jtout is the output power of the thermal storage device j at time t,P jtin is the input power at time t of the thermal storage device j,P needt for the thermal load demand at time t,P it H the operating power at the t moment of the ith heating equipment.
In this embodiment, the space allowance constraint of the heat exchange station may be: the lower limit value of the space allowance of the heat exchange station is less than or equal to the upper limit value of the space allowance of the heat exchange station;
the maximum capacity constraint of the heating device may be: the maximum capacity of the heating equipment is less than or equal to the upper limit value of the capacity of the heating equipment;
the maximum capacity constraint of the thermal storage device may be: the maximum capacity of the heat storage equipment is less than or equal to the upper limit value of the capacity of the heat storage equipment;
the constraint of the maximum power output of the heating equipment can be as follows: the maximum output power of the heating equipment is less than or equal to the upper limit value of the output power of the heating equipment;
the constraint on the maximum power output of the heat storage device may be: the maximum output power of the heat storage equipment is less than or equal to the upper limit value of the output power of the heat storage equipment;
the heat storage device input maximum power constraint may be: the maximum power input by the heat storage equipment is less than or equal to the upper limit value of the input power of the heat storage equipment.
In one embodiment, the thermal load demand at time tP needt The acquisition process comprises the following steps:
clustering the heat load curves of all users corresponding to the heat exchange station by using a K-means clustering algorithm to obtain a clustering result;
acquiring the heat load demand at the t moment from the class of heat load curves with the largest data volume of the heat load curves in the clustering resultP needt ；
Wherein the user comprises a building unit or a building set.
In one embodiment, the actual electrical load of the target substation corresponding to the heat exchange station at the time tP e t The acquisition process comprises the following steps:
clustering the actual electric load curve of the target transformer substation corresponding to the heat exchange station by using a K-means clustering algorithm to obtain a clustering result;
acquiring the actual electric load of the target transformer substation corresponding to the heat exchange station at the time t from the actual electric load curve of the class of target transformer substations with the largest data volume of the actual electric load curve in the clustering resultP e t ；
Wherein the user comprises a building unit or a building set.
Based on the same inventive concept, the invention also provides an electric heating and heat supplementing planning and configuration system facing the power grid heat supply network coupling, and as shown in fig. 3, the electric heating and heat supplementing planning and configuration system facing the power grid heat supply network coupling comprises:
the system comprises an acquisition module, a storage module and a control module, wherein the acquisition module is used for solving a pre-established electric heating and heat supplementing planning configuration model and acquiring a configuration scheme of heating equipment and heat storage equipment;
the planning module is used for selecting the heating equipment and/or the heat storage equipment matched with the configuration scheme as the heating equipment and/or the heat storage equipment deployed in the heat exchange station;
the method comprises the following steps that a target transformer substation is adopted as an internal equipment power supply of the heat exchange station, the target transformer substation is a transformer substation which is closest to the heat exchange station in the transformer substations meeting space allowance constraints of the heat exchange station, and the pre-established electric heating heat supplementing planning configuration model comprises the following steps: an objective function configured for the heat exchange station and aiming at minimizing carbon emission in a set time period, and a constraint condition configured for the heat exchange station.
Preferably, the configuration scheme comprises at least one of the following: the type of the heating apparatus, the type of the thermal storage apparatus, the operating power of the heating apparatus, the output power of the thermal storage apparatus, the input power of the thermal storage apparatus, the maximum capacity of the heating apparatus, and the maximum capacity of the thermal storage apparatus.
Further, the constraint condition includes at least one of: the method comprises the following steps of heat load demand constraint, space allowance constraint of a heat exchange station, maximum openable capacity constraint of a transformer substation, maximum capacity constraint of heating equipment, maximum capacity constraint of heat storage equipment, maximum output power constraint of the heating equipment, maximum output power constraint of the heat storage equipment and maximum input power constraint of the heat storage equipment.
Further, the objective function is calculated as follows:
in the above formula, E co T is the number of operating hours of heating equipment, n is the total number of the heating equipment,P it H for the operating power of the ith heating installation at time t, u e Carbon emission coefficients are supplied for electric power.
Further, the power supply carbon emission coefficient u e Is calculated as follows:
in the above formula, k avc Average standard coal consumption, q, for power generation in heat supply areas ncv Is the lower calorific value of the standard coal, beta co Is the carbon content of the standard coal, m cor The carbon oxidation rate of the standard coal combustion.
Further, the maximum openable capacity constraint of the substation is calculated as follows:
in the above formula, n is the total number of the heating equipment,P it H for the operating power of the ith heating equipment at the t moment,P t tr the maximum openable capacity of the substation at the moment t.
Further, the maximum openable capacity of the transformer substation at the time tP t tr Is calculated as follows:
P t tr = P e max - P e t
in the above formula, the first and second carbon atoms are,P e max the maximum capacity of the transformer in the target substation corresponding to the heat exchange station,P e t and the actual electrical load of a target transformer substation corresponding to the heat exchange station at the time t is obtained, wherein the target transformer substation is adopted as an internal equipment power supply of the heat exchange station, and the target transformer substation is the transformer substation which is closest to the heat exchange station in the transformer substations meeting the maximum openable capacity constraint of the transformer substations.
Further, the thermal load demand constraint is calculated as follows:
in the above formula, n is the total number of heating equipment, u i For the heating efficiency of the ith heating apparatus,P jtout the output power at the t-th time of the thermal storage device j,P jtin is the input power at time t of the thermal storage device j,P needt for the thermal load demand at time t,P it H the operating power of the ith heating equipment at the t moment.
Further, the thermal load demand at the time tP needt The acquisition process comprises the following steps:
clustering the heat load curves of all users corresponding to the heat exchange station by using a K-means clustering algorithm to obtain a clustering result;
acquiring the heat load demand at the t moment from the class of heat load curves with the largest data volume of the heat load curves in the clustering resultP needt ；
Wherein the user comprises a building unit or a building set.
Further, the actual electric load of the target substation corresponding to the heat exchange station at the time tP e t The acquisition process comprises the following steps:
clustering the actual electric load curve of the target transformer substation corresponding to the heat exchange station by using a K-means clustering algorithm to obtain a clustering result;
acquiring the actual electric load of the target transformer substation corresponding to the heat exchange station at the t moment from the actual electric load curve of the target transformer substation of the type with the largest data volume of the actual electric load curve in the clustering resultP e t ；
Wherein the user comprises a building unit or a building set.
Further, the present invention provides a heat exchange system based on the power grid heat supply network coupling oriented electric heating and heat supplementing planning configuration method, and the system includes: and the heating equipment and/or the heat storage equipment are matched with the configuration scheme.
In this embodiment, the heat exchange system is deployed inside the heat exchange station and is used for supplying heat to a water outlet of a secondary pipe network in the heat exchange station.
Further, the present invention provides a storage medium, where the storage medium includes a stored program, and when the program runs, the device where the storage medium is located is controlled to execute the configuration method for the electric heating and heat supplementing plan for the power grid and heat supply network coupling.
Furthermore, the present invention provides a processor, where the processor is configured to execute a program, where the program executes the configuration method of the electric heating and heat supplementing plan for coupling the grid and the heat supply network when the program is executed.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (2)
1. A power grid and heat supply network coupling oriented electric heating and heat supplementing planning configuration method is characterized by comprising the following steps:
solving a pre-established electric heating and heat supplementing planning configuration model to obtain a configuration scheme of heating equipment and heat storage equipment;
selecting the heating equipment and/or the heat storage equipment matched with the configuration scheme as the heating equipment and/or the heat storage equipment deployed in the heat exchange station;
the pre-established electric heating and heat supplementing planning configuration model comprises the following steps: an objective function configured for the heat exchange station and aiming at the minimum carbon emission in a set time period, and a constraint condition configured for the heat exchange station;
the configuration scheme includes at least one of: the type of the heating equipment, the type of the heat storage equipment, the operating power of the heating equipment, the output power of the heat storage equipment, the input power of the heat storage equipment, the maximum capacity of the heating equipment and the maximum capacity of the heat storage equipment;
the constraint includes at least one of: the method comprises the following steps of (1) heat load demand constraint, space allowance constraint of a heat exchange station, maximum capacity constraint of heating equipment, maximum capacity constraint of heat storage equipment, maximum power output constraint of the heating equipment, maximum power output constraint of the heat storage equipment and maximum power input constraint of the heat storage equipment;
the objective function is calculated as follows:
in the above formula, E co The annual carbon emission is shown, T is the number of operating hours of heating equipment, n is the total number of the heating equipment, and P it H For the operating power of the ith heating installation at the time t u e Supplying a carbon emission coefficient to the power;
the thermal load demand constraint is calculated as follows:
in the above formula, n is the total number of heating equipment, u i For the heating efficiency of the ith heating apparatus,
the output power at the t-th time of the thermal storage device j,
is the input power at time t of the thermal storage device j,
for the thermal load demand at time t, P it H The operating power of the ith heating equipment at the t moment;
thermal load demand at said time t
The acquisition process comprises the following steps:
clustering the heat load curves of all users corresponding to the heat exchange station by using a K-means clustering algorithm to obtain a clustering result;
acquiring the heat load demand at the t moment from the class of heat load curves with the largest data volume of the heat load curves in the clustering result
Wherein the user comprises a building unit or a building set;
and the actual electric load P of the target transformer substation corresponding to the heat exchange station at the time t e t The acquisition process comprises the following steps:
clustering the actual electric load curve of the target transformer substation corresponding to the heat exchange station by using a K-means clustering algorithm to obtain a clustering result;
acquiring the actual electric load P of the target transformer substation corresponding to the heat exchange station at the time t from the actual electric load curve of the class of target transformer substations with the largest data volume of the actual electric load curve in the clustering result e t ；
Wherein the user comprises a building unit or a building set;
the constraint condition comprises a maximum openable capacity constraint of the transformer substation, wherein the maximum openable capacity constraint of the transformer substation is calculated according to the following formula:
in the above formula, n is the total number of heating equipment, P it H Operating power at the t-th moment of the i-th heating equipment, P t tr The maximum openable capacity of the transformer substation at the time t is obtained;
the maximum openable capacity P of the transformer substation at the time t t tr Is calculated as follows:
P t tr ＝P e max -P e t
in the above formula, P e max For the maximum capacity, P, of the transformer in the target substation corresponding to the heat exchange station e t And the actual electrical load of the target transformer substation corresponding to the heat exchange station at the time t, wherein the target transformer substation is the transformer substation which is closest to the heat exchange station in the transformer substations and meets the maximum openable capacity constraint of the transformer substations.
2. The method of claim 1, wherein the power supply carbon emission coefficient u e Is calculated as follows:
in the above formula, k avc Average standard coal consumption, q, for power generation in heat supply areas ncv Is the lower calorific value of the standard coal, beta co Is the carbon content of the standard coal, m cor The carbon oxidation rate of the standard coal combustion.
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