CN112446616B - Modeling method for optimal operation strategy and load characteristic of park type comprehensive energy system - Google Patents

Modeling method for optimal operation strategy and load characteristic of park type comprehensive energy system Download PDF

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CN112446616B
CN112446616B CN202011351867.3A CN202011351867A CN112446616B CN 112446616 B CN112446616 B CN 112446616B CN 202011351867 A CN202011351867 A CN 202011351867A CN 112446616 B CN112446616 B CN 112446616B
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李校莹
薛万磊
赵昕
徐楠
杨雍琦
李晨辉
刘知凡
张�浩
史英
王振坤
李菁竹
孔德秋
侯庆旭
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Shandong Zhiyuan Electric Power Design Consulting Co ltd
State Grid Corp of China SGCC
Economic and Technological Research Institute of State Grid Shandong Electric Power Co Ltd
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State Grid Corp of China SGCC
Economic and Technological Research Institute of State Grid Shandong Electric Power Co Ltd
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Abstract

The invention provides a modeling method for optimizing operation strategy and load characteristic of a garden type integrated energy system, which comprises the steps of establishing a profit model of each time section system by using an objective function as the maximum operational benefit according to the electricity selling profit and the total power generation cost of the garden type integrated energy system; establishing constraint conditions of a park type comprehensive energy system; under the constraint condition of the park type integrated energy system, the maximum benefit of the park type integrated energy system in operation is an objective function, and a park type integrated energy system power output strategy is formulated. The invention comprehensively considers various market factors such as time-of-use electricity price, energy storage charging and discharging cost, photovoltaic internet access benchmarking electricity price and the like, aims at the maximum of the operation income of the comprehensive energy system of the commercial park, comprehensively considers the market factors and the operation economy, provides a grid-connected load characteristic modeling method, obtains various optimized operation strategies, and can realize investment and return value increase of the comprehensive energy system of the park.

Description

Modeling method for optimal operation strategy and load characteristic of park type comprehensive energy system
Technical Field
The invention belongs to the technical field of comprehensive energy systems, and particularly relates to a modeling method for optimizing an operation strategy and load characteristics of a park type comprehensive energy system.
Background
Under the background of increasingly tightened environmental pollution and energy crisis, a park type comprehensive energy system is greatly developed as an aggregate of clean energy, and market change of the electricity selling side further assists the development of the comprehensive energy system. Distributed energy types in the comprehensive energy system are various, the distributed energy system comprises uncontrollable power supplies such as a photovoltaic cell and a wind turbine, controllable power supplies such as a fuel cell and a micro gas turbine, various energy storage devices and novel loads, and how to evaluate the characteristics of the output of the power supplies and the influence of the output of the power supplies on a power distribution network is related to whether the comprehensive energy system can be successfully integrated into the existing power grid to safely and reliably operate.
The grid connection of the comprehensive energy system provides a huge challenge for planning and operating a power grid, and the external output characteristics must be known to know the grid connection influence. Therefore, it is necessary to develop a method for modeling grid-connected load of the park type integrated energy system. At present, control simulation models for power supplies and loads in the comprehensive energy system at home and abroad are deeply researched, but most of the existing achievements are based on the current mature electric power market environment, and at the present stage of reformation and transformation of the electric power market in China, the comprehensive energy system modeling research taking the diversity of the market environment into consideration is less.
Disclosure of Invention
In order to solve the technical problems, the invention provides a modeling method for optimizing an operation strategy and load characteristics of a park type comprehensive energy system, which takes the maximum operation income of the park type comprehensive energy system as an objective function, considers the factors such as the time-of-use electricity price of a power grid, the electricity price of a photovoltaic grid pole, the energy storage charging and discharging cost and the like, obtains a power output strategy of the comprehensive energy system, and can realize the investment and return increment of the park type comprehensive energy system.
In order to realize the purpose, the invention adopts the following technical scheme:
the modeling method for optimizing the operation strategy and the load characteristic of the park type comprehensive energy system comprises the following steps:
establishing a profit model of each time section system by using an objective function with maximum benefit of operation according to the electricity selling profit of the garden type integrated energy system and the total power generation cost of the power supply;
establishing constraint conditions of a park type comprehensive energy system;
under the constraint condition of the park type integrated energy system, the maximum benefit of the park type integrated energy system in operation is the current function, and a park type integrated energy system power output strategy is formulated.
Further, the park type comprehensive energy system comprises a photovoltaic power supply, an energy storage system and a combined cooling heating and power unit;
The photovoltaic power supply comprises a plurality of photovoltaic modules; wherein the output power of the single photovoltaic module is:
Figure BDA0002801676750000021
wherein, P S Is the maximum test power under standard test conditions; p is a radical of s N Is the test power under the standard test condition; g ST The solar illumination intensity under the standard test condition is 1000W/m 2; g is trueThe intensity of intercourse lighting; eta T Is the temperature coefficient; t is ST Taking the temperature as a reference temperature and taking the temperature as 25 ℃; t is S In order to provide the actual temperature at which the assembly operates,
Figure BDA0002801676750000022
t is the ambient temperature, T S The rated temperature for the component to work;
the output power of the solar module is therefore a function of the illumination intensity and the ambient temperature:
Figure BDA0002801676750000023
the average output power of the photovoltaic array is:
Figure BDA0002801676750000024
the no-load voltage of the energy storage system is:
Figure BDA0002801676750000025
wherein E is b Is the no-load voltage of the energy storage system; e 0 Is a constant voltage of the energy storage system; k is a polarization voltage; q is the capacity of the energy storage system; a is a gain voltage; b is the time gain capacity.
The combined cooling heating and power unit consumes the fuel expense and the power output relation is as follows:
Figure BDA0002801676750000026
Q gt-co =Q GT ×COP co (7)
Q gt-he =Q GT ×COP he (8)
Figure BDA0002801676750000027
wherein Q is GT The residual heat of the flue gas of the combined cooling heating and power unit is used; p e The engine power of the combined cooling heating and power unit; eta e The generating efficiency of the combined cooling heating and power unit is obtained; eta L The heat dissipation loss coefficient of the combined cooling heating and power unit is obtained; q gt-co The refrigerating capacity is provided for the flue gas waste heat of the combined cooling heating and power unit; q gt-he The heating capacity is provided for the waste heat of the flue gas of the combined cooling heating and power unit; v GT The natural gas amount required by the cold-heat-electricity cogeneration unit in the operation period; delta t is the operation duration of the combined cooling heating and power unit; LHV NG Is natural gas with low heat value.
Further, the building of the system profit model of each time section according to the power selling profit and the total power generation cost of the park type integrated energy system is as follows:
Figure BDA0002801676750000031
wherein C is the total daily operating income; c pr Selling electricity earnings for the park type comprehensive energy system; c CO The total power generation cost of the power supply;
Figure BDA0002801676750000032
the output of the energy storage system at the moment t is obtained;
Figure BDA0002801676750000033
the output of the photovoltaic at the moment t is obtained;
Figure BDA0002801676750000034
the output of the combined cooling heating and power unit at the moment t;
Figure BDA0002801676750000035
natural gas is consumed for the combined cooling heating and power unit; lambda [ alpha ] ES The cost is the unit generated energy cost of the energy storage system; lambda [ alpha ] PV For photovoltaic unit hairElectricity cost; lambda GT Is the unit gas cost;
Figure BDA0002801676750000036
the price of electricity at the time t of the power company; l is g The electric quantity network charge purchased from the electric power company for the park type comprehensive energy system.
Further, the constraint conditions for establishing the park type comprehensive energy system comprise the constraint of establishing a combined cooling heating and power unit and the constraint of establishing energy storage charging and discharging;
the constraint of establishing the combined cooling heating and power unit is as follows:
Figure BDA0002801676750000037
Wherein Q hdem Is a thermal load demand; q cdem Is the cold load demand; q GTh The heat production capacity of the combined cooling heating and power unit; q GTc The refrigerating capacity of the combined cooling heating and power unit; q gridh Generating heat for the electric boiler; q gridc The refrigerating capacity of the electric refrigerator;
wherein
Figure BDA0002801676750000038
P gheat The power consumption of the electric boiler; p gcool Electrical power for an electrical refrigerator; c gh The heat production coefficient of the electric boiler is made; c gc Is the refrigeration coefficient of the electric refrigerator.
The establishment of energy storage charging and discharging constraints is as follows:
Figure BDA0002801676750000039
wherein SOC (t) represents the state of charge of the energy storage battery at time t; p ch Charging power for the energy storage system; p dic Discharging power for the energy storage system; eta ch Charging efficiency for the energy storage system; eta dis The energy storage system discharge efficiency.
Further, under the constraint condition of the campus type integrated energy system, the maximum benefit of the operation of the campus type integrated energy system is the current function, and the formulating of the power output strategy of the campus type integrated energy system comprises the following steps:
for the photovoltaic power supply, the photovoltaic power supply continuously outputs power, so that the power generation cost is minimum;
for the energy storage system, the charging and discharging strategy is as follows: comparing electricity prices at any time t
Figure BDA0002801676750000041
The unit power generation cost lambda of the energy storage battery is calculated; when in use
Figure BDA0002801676750000042
The energy storage system is charged under the condition of meeting the charging power constraint;
If the operation cost of the combined cooling heating and power generation unit is less than the sum of the heating cost of the electric boiler and the cooling cost of the electric refrigerator, the combined cooling, heating and power generation unit is profitable, and the combined cooling and power generation unit operates; otherwise, the combined cooling heating and power unit is not profitable, and the boiler or the electric refrigerator is started.
Further, the combined cooling heating and power unit is not profitable, and when the load demand and the cooling, heating and power demand are less than the photovoltaic output:
if the energy storage residual capacity does not reach the upper charging limit and the electricity price is higher than the energy storage power generation cost, establishing a mode C1; the external characteristics and the power generation cost of the park type comprehensive energy system in the C1 mode are as follows:
;(15)
if the energy storage residual capacity does not reach the upper charging limit and the electricity price is lower than the energy storage power generation cost, establishing a mode C2; the external characteristics and the power generation cost of the park type comprehensive energy system in the C2 mode are as follows:
Figure BDA0002801676750000043
at this time, the power generation cost of the energy storage system is as follows:
Figure BDA0002801676750000044
when the electric quantity of the energy storage battery reaches the upper charging limit, a mode C3 is established, and the external characteristics and the power generation cost of the garden type comprehensive energy system in the mode C3 are as follows:
Figure BDA0002801676750000045
further, the combined cooling heating and power unit is not profitable, and when the load demand and the cooling, heating and power demand are not less than the photovoltaic output:
the current price of electricity is the valley peak price of electricity, and when the energy storage battery electric quantity has reached the upper limit of charging, then formulate mode C4, under the C4 mode, the outer characteristic of garden type comprehensive energy system is with the cost of electricity generation:
Figure BDA0002801676750000051
Present price of electricity is millet peak price of electricity, and when energy storage battery electric quantity did not reach the upper limit of charging, then made mode C5, under the C5 mode, the outer characteristic of garden type comprehensive energy system is with the cost of electricity generation:
Figure BDA0002801676750000052
at this time, the power generation cost of the stored energy is:
Figure BDA0002801676750000053
current electrovalence is not the valley peak electrovalence and energy storage residual capacity has reached the lower limit of discharging, or energy storage residual capacity does not reach the lower limit of discharging and when current electric wire netting electrovalence is higher than energy storage power generation cost, and energy storage system does not charge and discharge, and execution mode C6, under the C6 mode, the outer characteristic of garden type comprehensive energy system is with the power generation cost:
Figure BDA0002801676750000054
present electrovalence is not the millet peak electrovalence, and battery residual capacity does not reach the lower limit of discharging and the electric wire netting electrovalence is higher than energy storage power generation cost this moment, so the energy storage discharges, and the mode is C7 this moment, and under C7 mode, the outer characteristic of garden type comprehensive energy system is with the power generation cost:
Figure BDA0002801676750000055
further, the combined cooling heating and power unit is profitable, and when the sum of the electric load demand and the power consumption of the electric boiler or the electric refrigerator is less than the photovoltaic output:
if the residual energy of the stored energy does not reach the upper charging limit, the electricity price is lower than the stored energy charging cost, the energy storage system is charged with the maximum charging power, a mode C8 is formulated, and under the mode C8, the external characteristics and the power generation cost of the garden type comprehensive energy system are as follows:
Figure BDA0002801676750000056
At this time, the power generation cost of the stored energy is:
Figure BDA0002801676750000057
if the residual energy of the stored energy does not reach the upper charging limit and the electricity price is higher than the stored energy charging cost, the stored energy battery is charged only by utilizing the photovoltaic power generation allowance, a mode C9 is formulated, and under the C9 mode, the external characteristics and the power generation cost of the garden type comprehensive energy system are as follows:
Figure BDA0002801676750000061
if the energy storage residual capacity reaches the upper limit of charging, the energy storage system does not charge, a module C10 is formulated, and under the C10 mode, the external characteristics and the power generation cost of the garden type comprehensive energy system are as follows:
Figure BDA0002801676750000062
furthermore, the combined cooling heating and power unit is profitable, the sum of the electric load demand and the power consumption of the electric boiler or the electric refrigerator is not less than the photovoltaic output, and the electricity price of the power grid is the electricity price at the valley peak:
the electric quantity of the energy storage system reaches the upper limit of charging, the energy storage system does not charge and discharge, a mode C11 is formulated, and under the C11 mode, the external characteristics and the power generation cost of the garden type comprehensive energy system are as follows:
Figure BDA0002801676750000063
the residual capacity of the energy storage system does not reach the upper limit of charging, the energy storage system is charged, a mode C12 is formulated, and under the mode C12, the external characteristics and the power generation cost of the garden type comprehensive energy system are as follows:
Figure BDA0002801676750000064
the cost of the stored energy is:
Figure BDA0002801676750000065
furthermore, the combined cooling heating and power unit benefits, the sum of the electric load demand and the power consumption of the electric boiler or the electric refrigerator is not less than the photovoltaic output:
Current electric wire netting electrovalence is electrovalence and energy storage residual capacity have reached the lower limit of discharging when off-valley, or current electric wire netting electrovalence is less than energy storage power generation cost, and energy storage system does not discharge, formulates mode C13, and under the C13 mode, the outer characteristic of garden type comprehensive energy system is with the power generation cost:
Figure BDA0002801676750000071
the electric wire netting electrovalence is the electrovalence when off-valley, and the electric wire netting electrovalence does not reach the electric quantity lower limit and this moment the electric wire netting electrovalence is higher than energy storage power generation cost, and energy storage system discharges, formulates mode C14, and under C14 mode, the park type comprehensive energy system is outer characteristic and power generation cost:
Figure BDA0002801676750000072
the effect provided in the summary of the invention is only the effect of the embodiment, not all the effects of the invention, and one of the above technical solutions has the following advantages or beneficial effects:
the invention provides a modeling method for optimizing operation strategy and load characteristic of a garden type integrated energy system, which comprises the steps of establishing a profit model of each time section system by using an objective function as the maximum operational benefit according to the electricity selling profit and the total power generation cost of the garden type integrated energy system; establishing constraint conditions of a park type comprehensive energy system; under the constraint condition of the park type integrated energy system, the maximum benefit of the park type integrated energy system in operation is an objective function, and a park type integrated energy system power output strategy is formulated. The invention comprehensively considers various market factors such as time-of-use electricity price, energy storage charging and discharging cost, photovoltaic internet access benchmarking electricity price and the like, aims at the maximum of the operation income of the comprehensive energy system of the commercial park, provides a modeling method for grid-connected load characteristics, obtains 14 optimized operation strategies, and can realize investment and return value increase of the comprehensive energy system of the park.
The grid-connected load modeling method of the comprehensive energy system comprehensively considers market factors and operation economy, can realize self-governing consumption of the distributed power supply output of the comprehensive energy system internally and can realize power optimization externally. For the power grid, the load fluctuation of the power grid can be stabilized, the peak-valley difference can be reduced, the upgrading and reconstruction of the power grid can be delayed, and the planning and operating cost can be reduced. The modeling method and the operation strategy of the load characteristics of the comprehensive energy system provided by the invention have guiding significance for researching the optimal configuration and large-scale grid connection of the power supply of the comprehensive energy system and planning and operating the power grid.
Drawings
Fig. 1 is a flowchart of a method for modeling an optimized operation strategy and load characteristics of a campus-type integrated energy system according to embodiment 1 of the present invention;
fig. 2 is a schematic view of the operation principle of the cogeneration system in embodiment 1 of the invention;
fig. 3 is a flowchart of the power output strategy of the campus-type integrated energy system in embodiment 1 of the present invention.
Detailed Description
In order to clearly explain the technical features of the present invention, the following detailed description of the present invention is provided with reference to the accompanying drawings. The following disclosure provides many different embodiments, or examples, for implementing different features of the invention. To simplify the disclosure of the present invention, the components and arrangements of specific examples are described below. Furthermore, the present invention may repeat reference numerals and/or letters in the various examples. This repetition is for the purpose of simplicity and clarity and does not in itself dictate a relationship between the various embodiments and/or configurations discussed. It should be noted that the components illustrated in the figures are not necessarily drawn to scale. Descriptions of well-known components and processing techniques and procedures are omitted so as to not unnecessarily limit the invention.
Example 1
The embodiment 1 of the invention provides a modeling method for optimizing an operation strategy and load characteristics of a park type comprehensive energy system.
The comprehensive energy system can be roughly divided into three types according to the difference of internal load and power supply:
(1) household/community type comprehensive energy system
The family/cell type micro-grid users basically show the law that the users are in load low valleys in the daytime and in power consumption peak at night. Generally, only one type of distributed power supply is provided, such as a combined cooling, heating and power system and a roof photovoltaic power generation system.
(2) Commercial/office building type comprehensive energy system
The commercial/office building type micro-grid mainly concentrates on two peak periods of morning and afternoon working hours, and has the obvious characteristic of daily peak and night valley. The loads of the users mainly comprise electric loads such as lighting, air conditioners, power and the like.
(3) Industrial/park type comprehensive energy system
The industrial/park type micro-grid mainly concentrates the electricity consumption in two peak periods of morning and afternoon working hours and has the obvious characteristic of daily peak and night valley. The internal load is divided into a light industry class and a heavy industry class, and the load characteristic difference of light industry users is large. The heavy industry type user load rate is higher and is basically stable all the year round.
The invention relates to a modeling method based on optimized operation strategy and load characteristic of a garden type integrated energy system, and for example, a flow chart of the modeling method based on optimized operation strategy and load characteristic of the garden type integrated energy system in embodiment 1 of the invention is shown in fig. 1.
In step S101, according to the power selling income and the total power generation cost of the garden type integrated energy system, a profit maximum of the operation is used as an objective function to establish a profit model of each time section system;
the park type comprehensive energy system comprises a photovoltaic power supply, an energy storage system and a combined cooling heating and power unit.
The photovoltaic power supply comprises a plurality of photovoltaic modules which are connected in series or in parallel; wherein the output power of the single photovoltaic module is:
Figure BDA0002801676750000091
wherein, P S Is the maximum test power under standard test conditions;
Figure BDA0002801676750000092
is the test power under the standard test condition; g ST The solar illumination intensity under the standard test condition is 1000W/m 2; g is the actual illumination intensity; eta T Is the temperature coefficient; t is ST Taking the temperature as a reference temperature and taking the temperature as 25 ℃; t is S In order to provide the actual temperature at which the assembly operates,
Figure BDA0002801676750000093
t is the ambient temperature, T S The rated temperature for the component to work;
the output power of the solar module is therefore a function of the illumination intensity and the ambient temperature:
Figure BDA0002801676750000094
the average output power of the photovoltaic array is:
Figure BDA0002801676750000095
The photovoltaic power supply has the characteristics of intermittent work and great influence by climatic environment factors. Because the photovoltaic power generation system can only generate power in the daytime and can not generate power at night, the photovoltaic power generation system is not in accordance with the power utilization requirements of people, and therefore the photovoltaic power generation system is usually required to be matched with energy storage for use.
The energy storage system can stabilize the electric energy supply of the system and enhance the schedulability of the distributed power generation units. The model of the energy storage battery can be formed by connecting a controllable voltage source and constant internal resistance in series, and the no-load voltage of the energy storage system is as follows:
Figure BDA0002801676750000096
wherein E is b Is the no-load voltage of the energy storage system; e 0 Is a constant voltage of the energy storage system; k is a polarization voltage; q is the capacity of the energy storage system; a is a gain voltage; b is the time gain capacity.
A Combined Cooling, Heating and Power (CCHP) system, which uses natural gas as a primary energy fuel and can output cold, heat and electricity. The working modes comprise two modes of 'fixing electricity by heat' and 'fixing heat by electricity'. The mode of 'fixing power by heat' means that electric energy is used as an accessory on the basis of preferentially meeting the heat load of the system, and if the electric load cannot be met, other power supplies in the comprehensive energy system are used for supplementing the electric energy; "electric constant heat" mode means that heat energy is an adjunct to the system based on the priority of meeting the electrical load within the system, and is supplemented by other forms of heat sources within the system if the required heat load is not met. Fig. 2 is a schematic view of the working principle of a combined cooling, heating and power system in embodiment 2 of the present invention.
The combined cooling heating and power unit consumes the fuel expense and the power output relation is as follows:
Figure BDA0002801676750000101
Q gt-co =Q GT ×COP co (7)
Q gt-he =Q GT ×COP he (8)
Figure BDA0002801676750000102
wherein Q is GT The residual heat of the flue gas of the combined cooling heating and power unit is used; p e The engine power of the combined cooling heating and power unit; eta e The generating efficiency of the combined cooling heating and power unit is obtained; eta L The heat dissipation loss coefficient of the combined cooling heating and power unit is obtained; q gt-co The refrigerating capacity is provided for the flue gas waste heat of the combined cooling heating and power unit; q gt-he The heating capacity is provided for the waste heat of the flue gas of the combined cooling heating and power unit; v GT The natural gas amount required by the cold-heat-electricity cogeneration unit in the operation period; delta t is the operation duration of the combined cooling heating and power unit; LHV NG Is the low heat value of natural gas.
In an independent comprehensive energy system, a diesel generator set with a certain capacity is generally required to be configured, and when the distributed power supply in the comprehensive energy system is insufficient in output or the system fails, the distributed power supply can be used as a standby power supply to meet the power utilization requirements of users.
Establishing a system income model of each time section according to the electricity selling income and the total power generation cost of the park type integrated energy system as follows:
Figure BDA0002801676750000103
wherein C is the total daily operating income; c pr Selling electricity earnings for the park type comprehensive energy system; c CO The total power generation cost of the power supply;
Figure BDA0002801676750000104
the output of the energy storage system at the moment t is obtained;
Figure BDA0002801676750000105
the output of the photovoltaic at the moment t is obtained;
Figure BDA0002801676750000106
The output of the combined cooling heating and power unit at the moment t is obtained;
Figure BDA0002801676750000107
natural gas is consumed for the combined cooling heating and power unit; lambda [ alpha ] ES The cost is the unit generated energy cost of the energy storage system; lambda [ alpha ] PV The unit power generation cost of the photovoltaic system; lambda [ alpha ] GT Is the unit gas cost;
Figure BDA0002801676750000111
the price of electricity at the time t of the power company; l is g The electric quantity network charge purchased from the electric power company for the park type comprehensive energy system.
In step S102, constraints of the campus-type integrated energy system are established: the constraint of the combined cooling heating and power unit is established as follows:
Figure BDA0002801676750000112
wherein Q is hdem Is a thermal load demand; q cdem Is the cold load demand; q GTh The heat production capacity of the combined cooling heating and power unit; q GTc The refrigerating capacity of the combined cooling heating and power unit; q gridh Generating heat for the electric boiler; q gridc The refrigerating capacity of the electric refrigerator;
wherein
Figure BDA0002801676750000113
P gheat The power consumption of the electric boiler; p gcool Electrical power for an electrical refrigerator; c gh The heat production coefficient of the electric boiler is made; c gc Is the refrigeration coefficient of the electric refrigerator.
One important index for measuring the state of the energy storage battery is a state of charge (SOC), which indicates a ratio of a remaining capacity of the energy storage to a rated capacity in a fully charged state, indicates a fully discharged state when the SOC is 0, and indicates a fully charged state when the SOC is 1. Establishing energy storage charge-discharge constraints as follows:
Figure BDA0002801676750000114
Wherein, SOC (t) represents the state of charge of the energy storage battery at the time t; p is ch Charging power for the energy storage system; p is dic Discharging power for the energy storage system; eta ch Charging efficiency for the energy storage system; eta dis The energy storage system discharge efficiency.
In step S103, under the constraint condition of the campus-type integrated energy system, a power output policy of the campus-type integrated energy system is formulated according to the maximum benefit of the operation of the campus-type integrated energy system as a current function.
The photovoltaic cell generates electricity through the photovoltaic effect of the photovoltaic cell panel without additional cost. For photovoltaic cells, continuous output is required to minimize the cost of electricity generation. For the energy storage system, the charging and discharging strategy is as follows: comparing electricity prices at any time t
Figure BDA0002801676750000115
The unit power generation cost lambda of the energy storage battery is calculated; when in use
Figure BDA0002801676750000116
The energy storage system is charged under the condition of meeting the charging power constraint; if the operation cost of the combined cooling heating and power unit is less than the sum of the costs of heating of the electric boiler and cooling of the electric refrigerator, the combined cooling, heating and power unit is profitable, and the combined cooling and power unit operates; otherwise, the combined cooling heating and power unit is not profitable, and the boiler or the electric refrigerator is started. Fig. 3 is a flowchart of the power output strategy of the campus-type integrated energy system in embodiment 1 of the present invention.
The combined cooling heating and power units are not profitable, and the load demand and the cooling and heating demand are less than the photovoltaic output: if the energy storage residual capacity does not reach the upper charging limit and the electricity price is higher than the energy storage power generation cost, establishing a mode C1; the external characteristics and the power generation cost of the park type comprehensive energy system in the C1 mode are as follows:
Figure BDA0002801676750000121
the combined cooling heating and power units are not profitable, and the load demand and the cooling and heating demand are less than the photovoltaic output: if the energy storage residual capacity does not reach the upper charging limit and the electricity price is lower than the energy storage power generation cost, establishing a mode C2; the external characteristics and the power generation cost of the park type comprehensive energy system in the C2 mode are as follows:
Figure BDA0002801676750000122
at this time, the power generation cost of the energy storage system is as follows:
Figure BDA0002801676750000123
the combined cooling heating and power units are not profitable, and the load demand and the cooling and heating demand are less than the photovoltaic output: when the electric quantity of the energy storage battery reaches the upper charging limit, a mode C3 is established, and the external characteristics and the power generation cost of the garden type comprehensive energy system in the mode C3 are as follows:
Figure BDA0002801676750000124
the combined cooling heating and power units are not profitable, and the load demand and the cooling, heating and power demand are not less than the photovoltaic output: the current price of electricity is the valley peak price of electricity, and when the energy storage battery electric quantity has reached the upper limit of charging, then formulate mode C4, under the C4 mode, the outer characteristic of garden type comprehensive energy system is with the cost of electricity generation:
Figure BDA0002801676750000125
The combined cooling heating and power unit is not profitable, and the load demand and the cooling, heating and power demand are not less than the photovoltaic output: present price of electricity is millet peak price of electricity, and when energy storage battery electric quantity did not reach the upper limit of charging, then made mode C5, under the C5 mode, the outer characteristic of garden type comprehensive energy system is with the cost of electricity generation:
Figure BDA0002801676750000131
at this time, the power generation cost of the stored energy is:
Figure BDA0002801676750000132
the combined cooling heating and power unit is not profitable, and the load demand and the cooling, heating and power demand are not less than the photovoltaic output: current electrovalence is not the valley peak electrovalence and energy storage residual capacity has reached the lower limit of discharging, or energy storage residual capacity does not reach the lower limit of discharging and when current electric wire netting electrovalence is higher than energy storage power generation cost, and energy storage system does not charge and discharge, and execution mode C6, under the C6 mode, the outer characteristic of garden type comprehensive energy system is with the power generation cost:
Figure BDA0002801676750000133
the combined cooling heating and power units are not profitable, and the load demand and the cooling, heating and power demand are not less than the photovoltaic output: present electrovalence is not the millet peak electrovalence, and battery residual capacity does not reach the lower limit of discharging and the electric wire netting electrovalence is higher than energy storage power generation cost this moment, so the energy storage discharges, and the mode is C7 this moment, and under C7 mode, the outer characteristic of garden type comprehensive energy system is with the power generation cost:
Figure BDA0002801676750000134
the combined cooling heating and power units are profitable, and when the sum of the electric load demand and the power consumption of the electric boiler or the electric refrigerator is less than the photovoltaic output: if the residual energy of the stored energy does not reach the upper charging limit, the electricity price is lower than the stored energy charging cost, the energy storage system is charged with the maximum charging power, a mode C8 is formulated, and under the mode C8, the external characteristics and the power generation cost of the garden type comprehensive energy system are as follows:
Figure BDA0002801676750000135
At this time, the power generation cost of the stored energy is:
Figure BDA0002801676750000136
the combined cooling heating and power units are profitable, and when the sum of the electric load demand and the power consumption of the electric boiler or the electric refrigerator is less than the photovoltaic output: if the residual energy of the stored energy does not reach the upper charging limit and the electricity price is higher than the stored energy charging cost, the stored energy battery is charged only by utilizing the photovoltaic power generation allowance, a mode C9 is formulated, and under the C9 mode, the external characteristics and the power generation cost of the garden type comprehensive energy system are as follows:
Figure BDA0002801676750000141
the combined cooling heating and power units are profitable, and when the sum of the electric load demand and the power consumption of the electric boiler or the electric refrigerator is less than the photovoltaic output: if the energy storage residual capacity reaches the upper limit of charging, the energy storage system does not charge, a module C10 is formulated, and under the C10 mode, the external characteristics and the power generation cost of the garden type comprehensive energy system are as follows:
Figure BDA0002801676750000142
the combined cooling, heating and power units are profitable, the sum of the electric load demand and the power consumption of the electric boiler or the electric refrigerator is not less than the photovoltaic output, and the power price of the power grid is the valley peak power price: the electric quantity of the energy storage system reaches the upper limit of charging, the energy storage system does not charge and discharge, a mode C11 is formulated, and under the C11 mode, the external characteristics and the power generation cost of the garden type comprehensive energy system are as follows:
Figure BDA0002801676750000143
the combined cooling, heating and power units are profitable, the sum of the electric load demand and the power consumption of the electric boiler or the electric refrigerator is not less than the photovoltaic output, and the power price of the power grid is the valley peak power price: the residual capacity of the energy storage system does not reach the upper limit of charging, the energy storage system is charged, a mode C12 is formulated, and under the mode C12, the external characteristics and the power generation cost of the garden type comprehensive energy system are as follows:
Figure BDA0002801676750000144
The cost of the stored energy is:
Figure BDA0002801676750000145
the combined cooling, heating and power units are profitable, the sum of the electric load demand and the power consumption of the electric boiler or the electric refrigerator is not less than the photovoltaic output: current electric wire netting electrovalence is electrovalence and energy storage residual capacity have reached the lower limit of discharging when off-valley, or current electric wire netting electrovalence is less than energy storage power generation cost, and energy storage system does not discharge, formulates mode C13, and under the C13 mode, the outer characteristic of garden type comprehensive energy system is with the power generation cost:
Figure BDA0002801676750000151
the combined cooling, heating and power units are profitable, the sum of the electric load demand and the power consumption of the electric boiler or the electric refrigerator is not less than the photovoltaic output: the electric wire netting electrovalence is the electrovalence when off-valley, and the electric wire netting electrovalence does not reach the electric quantity lower limit and this moment the electric wire netting electrovalence is higher than energy storage power generation cost, and energy storage system discharges, formulates mode C14, and under C14 mode, the park type comprehensive energy system is outer characteristic and power generation cost:
Figure BDA0002801676750000152
the optimal operation strategy and load characteristic modeling method for the park type comprehensive energy system comprehensively considers various market factors such as time-of-use electricity price, energy storage charging and discharging cost, photovoltaic internet access benchmarking electricity price and the like, provides a grid-connected load characteristic modeling method with the maximum goal of the operation income of the commercial park type comprehensive energy system, obtains 14 optimal operation strategies, and can realize investment and return value increase of the park type comprehensive energy system.
The campus type integrated energy system optimization operation strategy and load characteristic modeling method provided by the invention comprehensively considers market factors and operation economy, can internally realize autonomous consumption of distributed power output of the integrated energy system, and can externally realize power optimization. For the power grid, the load fluctuation of the power grid can be stabilized, the peak-valley difference can be reduced, the upgrading and reconstruction of the power grid can be delayed, and the planning and operation cost can be reduced. The modeling method and the operation strategy for the load characteristics of the comprehensive energy system have guiding significance for researching the optimal configuration and large-scale grid connection of the power supply of the comprehensive energy system and planning and operating the power grid.
Although the specific embodiments of the present invention have been described with reference to the accompanying drawings, the scope of the present invention is not limited thereto. Various modifications and alterations will occur to those skilled in the art based on the foregoing description. This need not be, nor should it be exhaustive of all embodiments. On the basis of the technical scheme of the invention, various modifications or changes which can be made by a person skilled in the art without creative efforts are still within the protection scope of the invention.

Claims (9)

1. The modeling method for optimizing the operation strategy and the load characteristic of the garden type comprehensive energy system is characterized by comprising the following steps of:
establishing a profit model of each time section system by using an objective function with maximum benefit of operation according to the electricity selling profit of the garden type integrated energy system and the total power generation cost of the power supply;
establishing constraint conditions of a park type comprehensive energy system; the park type comprehensive energy system comprises a photovoltaic power supply, an energy storage system and a combined cooling heating and power unit;
the photovoltaic power supply comprises a plurality of photovoltaic modules; wherein the output power of the single photovoltaic module is:
Figure FDA0003704850990000011
wherein, P S Is the maximum test power under standard test conditions;
Figure FDA0003704850990000016
is the test power under the standard test condition; g ST The solar illumination intensity under the standard test condition is 1000W/m 2; g is the actual illumination intensity; eta T Is the temperature coefficient; t is ST Taking the temperature as a reference temperature and taking the temperature as 25 ℃; t is N In order to provide the actual temperature at which the assembly operates,
Figure FDA0003704850990000012
t is the ambient temperature, T S The rated temperature for the component to work;
the output power of the solar module is therefore a function of the illumination intensity and the ambient temperature:
Figure FDA0003704850990000013
the average output power of the photovoltaic array is:
Figure FDA0003704850990000014
said N is s Representing the number of photovoltaic modules in the photovoltaic array; g max Represents the maximum illumination intensity;
The no-load voltage of the energy storage system is:
Figure FDA0003704850990000015
wherein, E b Is the no-load voltage of the energy storage system; e 0 Is a constant voltage of the energy storage system; k is a polarization voltage; q is the capacity of the energy storage system; a is a gain voltage; b is the time gain capacity; i is the current of the energy storage system; t is time;
the combined cooling heating and power unit consumes the fuel expense and the power output relation is as follows:
Figure FDA0003704850990000021
Q gt-co =Q GT ×COP co (7)
Q gt-he =Q GT ×COP he (8)
Figure FDA0003704850990000022
wherein Q is GT The residual heat of the flue gas of the combined cooling heating and power unit is used; p e For combined cooling, heating and power unitsPower; eta e The generating efficiency of the combined cooling heating and power unit is obtained; eta L The heat dissipation loss coefficient of the combined cooling heating and power unit is obtained; q gt-co The refrigerating capacity is provided for the flue gas waste heat of the combined cooling heating and power unit; q gt-he The heating capacity is provided for the waste heat of the flue gas of the combined cooling heating and power unit; v GT The natural gas amount required by the cold-heat-electricity cogeneration unit in the operation period; delta t is the operation duration of the combined cooling heating and power unit; LHV NG The natural gas has low heat value; COP co Representing the micro gas turbine refrigeration coefficient; COP he Representing the micro gas turbine heating coefficient;
under the constraint condition of the park type integrated energy system, the maximum benefit of the park type integrated energy system in operation is the current function, and a park type integrated energy system power output strategy is formulated.
2. The modeling method for optimizing operation strategy and load characteristic of the garden type integrated energy system according to claim 1, wherein the model for the system profit of each time section is established according to the power selling profit and the total power generation cost of the garden type integrated energy system as follows:
Figure FDA0003704850990000023
Wherein C is the daily total operating income; c pr Selling electricity earnings for the park type comprehensive energy system; c CO The total power generation cost of the power supply;
Figure FDA0003704850990000024
the output of the energy storage system at the moment t is obtained;
Figure FDA0003704850990000025
the output of the photovoltaic at the moment t is obtained;
Figure FDA0003704850990000026
the output of the combined cooling heating and power unit at the moment t;
Figure FDA0003704850990000027
natural gas is consumed for the combined cooling heating and power unit; lambda [ alpha ] ES The cost is the unit generated energy cost of the energy storage system; lambda [ alpha ] PV The unit power generation cost of the photovoltaic system; lambda [ alpha ] GT Is the unit gas cost;
Figure FDA0003704850990000036
the price of electricity at the time t of the power company; l is g The electric quantity network charge purchased from the electric power company for the park type comprehensive energy system.
3. The modeling method for optimizing operation strategy and load characteristic of the campus-type integrated energy system according to claim 2, wherein the constraint condition for establishing the campus-type integrated energy system includes establishing constraint of a combined cooling heating and power unit and establishing energy storage charging and discharging constraint;
the constraint of establishing the combined cooling heating and power unit is as follows:
Figure FDA0003704850990000031
wherein Q is hdem Is a thermal load demand; q cdem Is the cold load demand; q GTh The heat production capacity of the combined cooling heating and power unit; q GTc The refrigerating capacity of the combined cooling heating and power unit; q gridh Generating heat for the electric boiler; q gridc The refrigerating capacity of the electric refrigerator;
wherein
Figure FDA0003704850990000032
P gheat The power consumption of the electric boiler; p gcool Electrical power for an electrical refrigerator; c gh The heat production coefficient of the electric boiler is made; c gc The refrigeration coefficient of the electric refrigerator;
the establishment of energy storage charging and discharging constraints is as follows:
Figure FDA0003704850990000033
wherein SOC (t) represents the state of charge of the energy storage battery at time t; p ch Charging power for the energy storage system; p dis Discharging power for the energy storage system; eta ch Charging efficiency for the energy storage system; eta dis The energy storage system discharge efficiency.
4. The modeling method for optimizing operation strategy and load characteristic of the campus-type integrated energy system according to claim 3, wherein the step of formulating the power output strategy of the campus-type integrated energy system under the constraint condition of the campus-type integrated energy system according to the maximum benefit of the operation of the campus-type integrated energy system as the current function comprises:
for the photovoltaic power supply, the photovoltaic power supply continuously outputs power, so that the power generation cost is minimum;
for the energy storage system, the charging and discharging strategy is as follows: comparing electricity prices at any time t
Figure FDA0003704850990000034
The unit power generation cost lambda of the energy storage battery is calculated; when in use
Figure FDA0003704850990000035
The energy storage system is charged under the condition of meeting the charging power constraint;
if the operation cost of the combined cooling heating and power unit is less than the sum of the costs of heating of the electric boiler and cooling of the electric refrigerator, the combined cooling, heating and power unit is profitable, and the combined cooling and power unit operates; otherwise, the combined cooling heating and power unit is not profitable, and the boiler or the electric refrigerator is started.
5. The modeling method for optimizing operation strategy and load characteristics of the campus-type integrated energy system according to claim 4, wherein the cogeneration unit is not profitable, and when the load demand and the cooling, heating and power demand are smaller than the photovoltaic output:
if the energy storage residual capacity does not reach the upper charging limit and the electricity price is higher than the energy storage power generation cost, establishing a mode C1; the park type comprehensive energy system external characteristic and the power generation cost under the C1 mode are as follows:
Figure FDA0003704850990000041
if the energy storage residual capacity does not reach the upper charging limit and the electricity price is lower than the energy storage power generation cost, establishing a mode C2; the external characteristics and the power generation cost of the park type comprehensive energy system in the C2 mode are as follows:
Figure FDA0003704850990000042
at this time, the power generation cost of the energy storage system is as follows:
Figure FDA0003704850990000043
when the electric quantity of the energy storage battery reaches the upper charging limit, a mode C3 is established, and the external characteristics and the power generation cost of the garden type comprehensive energy system in the mode C3 are as follows:
Figure FDA0003704850990000044
wherein,
Figure FDA0003704850990000045
an electric load at time t,
Figure FDA0003704850990000046
The load of the electric boiler or the electric refrigerator at the time t,
Figure FDA0003704850990000047
Charging power of energy storage battery for t time, E t Storing energy charging and discharging amount for t time period; e t-1 Storing energy charging and discharging amount for t-1 time period;
Figure FDA0003704850990000048
the energy storage charging and discharging cost at the moment of t-1.
6. The modeling method for optimizing operation strategy and load characteristics of the campus-type integrated energy system according to claim 5, wherein the cogeneration unit is not profitable, and when the load demand and the cooling, heating and power demand are not less than the photovoltaic output:
The current price of electricity is the valley peak price of electricity, and when the energy storage battery electric quantity has reached the upper limit of charging, then formulate mode C4, under the C4 mode, the outer characteristic of garden type comprehensive energy system is with the cost of electricity generation:
Figure FDA0003704850990000051
present price of electricity is millet peak price of electricity, and when energy storage battery electric quantity did not reach the upper limit of charging, then made mode C5, under the C5 mode, the outer characteristic of garden type comprehensive energy system is with the cost of electricity generation:
Figure FDA0003704850990000052
at this time, the power generation cost of the stored energy is:
Figure FDA0003704850990000053
current electrovalence is not the valley peak electrovalence and energy storage residual capacity has reached the lower limit of discharging, or energy storage residual capacity does not reach the lower limit of discharging and when current electric wire netting electrovalence is higher than energy storage power generation cost, and energy storage system does not charge and discharge, and execution mode C6, under the C6 mode, the outer characteristic of garden type comprehensive energy system is with the power generation cost:
Figure FDA0003704850990000054
present electrovalence is not the millet peak electrovalence, and battery residual capacity does not reach the lower limit of discharging and the electric wire netting electrovalence is higher than energy storage power generation cost this moment, so the energy storage discharges, and the mode is C7 this moment, and under C7 mode, the outer characteristic of garden type comprehensive energy system is with the power generation cost:
Figure FDA0003704850990000055
7. the modeling method for optimizing operation strategy and load characteristic of the campus-type integrated energy system according to claim 4, wherein when the combined cooling heating and power generation unit gains a profit, and the sum of the electric load demand and the power consumption of the electric boiler or the electric refrigerator is smaller than the photovoltaic output:
If the residual energy of the stored energy does not reach the upper charging limit, the electricity price is lower than the stored energy charging cost, the energy storage system is charged with the maximum charging power, a mode C8 is formulated, and under the mode C8, the external characteristics and the power generation cost of the garden type comprehensive energy system are as follows:
Figure FDA0003704850990000061
at this time, the power generation cost of the stored energy is:
Figure FDA0003704850990000062
if the residual energy of the stored energy does not reach the upper charging limit and the electricity price is higher than the stored energy charging cost, the stored energy battery is charged only by utilizing the photovoltaic power generation allowance, a mode C9 is formulated, and under the C9 mode, the external characteristics and the power generation cost of the garden type comprehensive energy system are as follows:
Figure FDA0003704850990000063
if the energy storage residual capacity reaches the upper limit of charging, the energy storage system does not charge, a module C10 is formulated, and under the C10 mode, the external characteristics and the power generation cost of the garden type comprehensive energy system are as follows:
Figure FDA0003704850990000064
8. the modeling method for optimizing operation strategy and load characteristic of the campus-type integrated energy system according to claim 7, wherein the cogeneration unit generates profit, the sum of the electric load demand and the power consumption of the electric boiler or the electric refrigerator is not less than the photovoltaic output, and the grid power rate is the valley peak power rate:
the electric quantity of the energy storage system reaches the upper limit of charging, the energy storage system does not charge and discharge, a mode C11 is formulated, and under the C11 mode, the external characteristics and the power generation cost of the garden type comprehensive energy system are as follows:
Figure FDA0003704850990000065
The residual capacity of the energy storage system does not reach the upper limit of charging, the energy storage system is charged, a mode C12 is formulated, and under the mode C12, the external characteristics and the power generation cost of the garden type comprehensive energy system are as follows:
Figure FDA0003704850990000071
the cost of the stored energy is:
Figure FDA0003704850990000072
9. the modeling method for optimizing operation strategy and load characteristic of the campus-type integrated energy system according to claim 7, wherein the combined cooling heating and power generation unit benefits, and the sum of the electric load demand and the power consumption of the electric boiler or the electric refrigerator is not less than the photovoltaic output:
current electric wire netting electrovalence is electrovalence and energy storage residual capacity have reached the lower limit of discharging when off-valley, or current electric wire netting electrovalence is less than energy storage power generation cost, and energy storage system does not discharge, formulates mode C13, and under the C13 mode, the outer characteristic of garden type comprehensive energy system is with the power generation cost:
Figure FDA0003704850990000073
the electric wire netting electrovalence is the electrovalence when off-valley, and the electric wire netting electrovalence does not reach the electric quantity lower limit and this moment the electric wire netting electrovalence is higher than energy storage power generation cost, and energy storage system discharges, formulates mode C14, and under C14 mode, the park type comprehensive energy system is outer characteristic and power generation cost:
Figure FDA0003704850990000074
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* Cited by examiner, † Cited by third party
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CN108808659A (en) * 2018-06-05 2018-11-13 国网吉林省电力有限公司 The coordination optimization of wind electricity digestion integrated energy system controls and economic evaluation method
CN109670730A (en) * 2019-01-11 2019-04-23 国网安徽省电力有限公司合肥供电公司 A kind of integrated energy system economic load dispatching method a few days ago
CN110533225A (en) * 2019-08-07 2019-12-03 华北电力大学 A kind of business garden integrated energy system Optimization Scheduling based on chance constrained programming

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* Cited by examiner, † Cited by third party
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CN109543889A (en) * 2018-11-08 2019-03-29 河海大学 A kind of regional complex energy resource system cooperates with optimizing operation method a few days ago
CN110854930A (en) * 2019-11-18 2020-02-28 国网浙江省电力有限公司台州供电公司 Park comprehensive energy system optimal scheduling method considering multi-energy cooperation

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108808659A (en) * 2018-06-05 2018-11-13 国网吉林省电力有限公司 The coordination optimization of wind electricity digestion integrated energy system controls and economic evaluation method
CN109670730A (en) * 2019-01-11 2019-04-23 国网安徽省电力有限公司合肥供电公司 A kind of integrated energy system economic load dispatching method a few days ago
CN110533225A (en) * 2019-08-07 2019-12-03 华北电力大学 A kind of business garden integrated energy system Optimization Scheduling based on chance constrained programming

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