Multi-energy complementary energy supply system and control method

Abstract

The invention provides a multi-energy complementary energy supply system and a control method. The system comprises PV / T equipment, a gas turbine and an energy storage system. The control method comprises the following steps: acquiring initial parameters of a system, and setting an initial operation strategy based on a load demand; constructing a system model, establishing a multi-objective optimization model taking a cost objective, an environment objective and a primary energy saving rate as optimization objectives, and generating a Pareto frontier solution set through a non-dominated sorting genetic algorithm so as to screen out an optimal solution; and obtaining a system operation strategy through the optimal solution. According to the system, the building cost is low, a multi-energy complementary system coupled with multiple energy sources is built, the life and production energy consumption requirements of residents can be met, the energy utilization efficiency can be effectively improved, and pollutant emission is reduced; the corresponding control method is low in execution cost, and based on a multi-objective optimization framework, the method can effectively balance cost, environment and multi-party benefits, so that the system efficiency is improved, the operation cost is reduced, and the utilization rate of renewable energy sources is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of new energy technology, in particular to a multi-energy complementary energy supply system and a control method. BACKGROUND

[0002] With the carbon reduction target proposed in recent years, promoting the sustainable application and development of renewable energy has become the core of energy strategy. Among them, the multi-energy complementary system (MECS) as a system for efficient use of multiple energy forms, through the integration of solar energy, wind energy, water energy, coal and other resources, realizes the collaborative supply and cascade utilization of cold, heat, electricity, gas and other multiple energy, and becomes an important way to realize energy efficient utilization and carbon reduction.

[0003] In the traditional energy supply mode, such as relying on public power grid for power supply and fossil fuel for heating, there are problems of low energy utilization efficiency and serious environmental pollution, especially in vast rural areas, the energy supply and utilization mode needs to be optimized. In recent years, with the rapid development of renewable energy technology, renewable energy systems mainly based on solar energy and wind energy have been widely popularized. On this basis, the multi-energy complementary system coupled with multiple renewable energies can not only meet the energy demand of residents' life and production, but also effectively improve the energy utilization efficiency and reduce pollutant emissions. For the multi-energy complementary system, participating in the operation of the public power grid and the carbon trading market can not only improve the overall income of the system, but also further promote the consumption of renewable energy and achieve the carbon reduction target.

[0004] Therefore, for the multi-energy complementary system, the multi-objective optimization control method has important theoretical significance and application value.

[0005] At present, the planning of comprehensive energy systems for industrial parks and commercial areas has been extensively studied, however, the research on comprehensive energy systems for residential users is still in its early stages. In addition, although solar energy as a clean and renewable energy has great application potential in comprehensive energy systems, there are few studies on its full utilization, and further exploration is needed. At the same time, in the design and planning of multi-energy complementary energy supply systems, existing researches mostly focus on the optimization of a single energy form, such as electricity or heat flow, while the collaborative optimization of multiple energy forms such as electricity, heat, cold and gas is limited. At the same time, the existing optimization methods of multi-energy complementary systems mostly use single objective optimization, such as economic benefit or environmental benefit, lack of optimization strategies considering multiple objectives, resulting in one-sided optimization results and difficulty in meeting the needs of practical engineering applications.

[0006] More importantly, the multi-energy complementary system can not only meet the user load demand, but also flexibly adjust the operation strategy through market operation to obtain better benefits. However, the existing research lacks effective market participation strategies and fails to fully utilize the cost fluctuation characteristics to maximize system benefits and emission reduction benefits.

[0007] In summary, there is an urgent need for a multi-objective optimization method that can comprehensively consider the environment and benefits, and effectively participate in the market. SUMMARY

[0008] The present application provides a multi-energy complementary energy supply system and a control method thereof under the premise of multi-objective optimization to solve the problems in the prior art.

[0009] To achieve the above-mentioned purpose, the technical solution adopted by the present application is as follows:

[0010] On the one hand, the present application provides a multi-energy complementary energy supply system, which mainly includes a PV / T device, a gas turbine and an energy storage system;

[0011] The electric power output end of the PV / T device and the electric power output end of the gas turbine, and the electric storage unit of the energy storage system and the power grid are all connected to the user-side power bus; the electric power output end of the PV / T device is also connected to the electric storage unit of the energy storage system;

[0012] The thermal energy output end of the PV / T device and the thermal power output end of the gas turbine, and the heat storage unit of the energy storage system are all connected to the user-side heat bus; the thermal energy output end of the PV / T device is also connected to the heat storage unit of the energy storage system.

[0013] On the other hand, the present application also provides a multi-energy complementary energy supply system control method, which is used to control the aforementioned multi-energy complementary energy supply system; including the following steps:

[0014] Obtaining system initial parameters;

[0015] Setting an initial operation strategy based on the system initial parameters and load demand;

[0016] Constructing a system model according to the initial parameters and the initial operation strategy;

[0017] Based on the system model, a multi-objective optimization model with cost target, environmental target and primary energy saving rate as optimization targets is established;

[0018] A non-dominated sorting genetic algorithm is used to generate a Pareto front solution set for the multi-objective optimization model; and a priority decision method based on ideal solution similarity sorting is used to screen the optimal solution from the Pareto front solution set;

[0019] Obtain a system operation strategy through the optimal solution.

[0020] Optionally, the surplus electricity after power supply of the PV / T device is transmitted to an electricity storage unit of the energy storage system for storage, or to a power grid.

[0021] The surplus heat after heat supply of the PV / T device is transmitted to a heat storage unit of the energy storage system for storage.

[0022] Optionally, during power supply of the PV / T device, the user side has the highest power supply priority.

[0023] When the PV / T device is insufficient in power supply, the gas turbine or the power grid is used to supplement power supply.

[0024] The energy storage system is charged during a price valley period.

[0025] Optionally, the initial parameters of the system include building parameters, meteorological parameters, cost parameters, technical parameters and environmental parameters.

[0026] Optionally, the cost target includes initial construction cost and operation cost.

[0027] Optionally, the operation cost includes equipment maintenance cost, power grid purchase cost and power generation cost.

[0028] Optionally, the environmental target takes carbon emission as an index.

[0029] The carbon emission includes emission generated by system equipment operation and carbon emission generated by power grid purchase.

[0030] Optionally, the primary energy saving rate is a relative difference of primary energy consumption of a multi-energy complementary system relative to an independent production system.

[0031] Optionally, the step of screening the optimal solution from the Pareto frontier solution set includes:

[0032] Obtain the Pareto frontier solution set;

[0033] Screen an ideal solution from the Pareto frontier solution set as an expected solution through a TOPSIS method;

[0034] The expected solution is obtained as the optimal solution after evaluation or verification.

[0035] Compared with the prior art, the present application has the following beneficial effects:

[0036] The system of the present application has low construction cost, and establishes a multi-energy complementary system coupled with multiple energies, which can not only meet the energy demand of residents' life and production, but also effectively improve energy utilization efficiency and reduce pollutant emission; the corresponding control method has low execution cost, and the method based on a multi-objective optimization framework can effectively balance cost, environment and multi-party benefits, thereby improving system efficiency, reducing operating cost and improving renewable energy utilization rate. BRIEF DESCRIPTION OF DRAWINGS

[0037] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments will be briefly introduced as follows. Obviously, the drawings described in the following are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor on the basis of these drawings.

[0038] Figure 1 The flow chart for the control method of the present application. DETAILED DESCRIPTION

[0039] In order to make the objectives, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, but not all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0040] It should be noted that: similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings.

[0041] It should be noted that: similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings.

[0042] It should be noted that: similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings.

[0043] In one aspect, the present embodiment provides a multi-energy complementary energy supply system, which mainly comprises a PV / T device, a gas turbine and an energy storage system.

[0044] The PV / T device (solar photovoltaic / thermal device, also known as a photovoltaic cogeneration system) is a device or system that combines photovoltaic and photothermal based on solar photovoltaic / thermal technology. For example, a commercially available PV / T collector includes an electric power output end and a thermal energy output end, and provides electric power and thermal energy supply for the system.

[0045] Further, the energy storage system adopts a multi-type energy storage unit structure, including at least an electricity storage unit and a heat storage unit. The electricity storage unit can adopt a lithium battery pack, and the heat storage unit can adopt a phase change heat storage tank.

[0046] Thus, on the power side:

[0047] The electric power output end of the PV / T device and the electric power output end of the gas turbine, and the electricity storage unit of the energy storage system and the power grid are all connected to the user-side power bus; wherein the electric power output end of the PV / T device is also connected to the electricity storage unit of the energy storage system, so as to absorb the excess electric power supply of the PV / T device through the electricity storage unit.

[0048] On the heating side:

[0049] The thermal energy output end of the PV / T device and the thermal power output end of the gas turbine, and the heat storage unit of the energy storage system are all connected to the user-side heat bus; wherein the thermal energy output end of the PV / T device is also connected to the heat storage unit of the energy storage system, so as to store the excess thermal energy supply of the PV / T device through the heat storage unit.

[0050] On the other hand, based on the above multi-energy complementary energy supply system, the embodiment also provides a corresponding control method, which mainly includes the following steps as shown in Figure 1 The system initial parameters include building parameters, meteorological parameters, cost parameters, technical parameters, and environmental parameters.

[0051] Obtaining system initial parameters. The system initial parameters include building parameters, meteorological parameters, cost parameters, technical parameters, and environmental parameters.

[0052] Setting an initial operation strategy based on the system initial parameters and load demand; constructing a system model according to the initial parameters and the initial operation strategy.

[0053] First, a mathematical model of each component unit in the multi-energy complementary energy supply system is established, specifically:

[0054] (1) PV / T model;

[0055] The photovoltaic system in the PV / T receives solar radiation and converts it into electric energy. The power generation capacity depends on the radiation intensity, the photovoltaic system area, and the energy conversion efficiency; thus, the calculation formula of the power generation capacity is:

[0056] P PV =GSη pv ;

[0057] In the formula, P PV represents the power generation of the photovoltaic system, G represents the solar radiation intensity, and S represents the area of the installed PV / T device; η pv represents the energy conversion efficiency, which is related to the solar radiation intensity, the ambient temperature, and the atmospheric air quality, and can be calculated according to the following formula:

[0058] η pv = k1[(G / G0)k2-k3(G / G0)][1-k4(T / T0)+k5(AM / AM0)];

[0059] In the formula, G0 is the solar radiation intensity under standard operating conditions, with a value of 1 KW / ㎡; T represents the ambient temperature; T0 is the temperature under standard operating conditions, with a value of 25℃; AM represents the acceptance of sunlight by the atmosphere; AM0 is the acceptance under standard operating conditions, with a value of 1.5; k1-k5 are characteristic parameters of the photovoltaic system energy conversion efficiency, which adjust the influence weight of different environmental parameters on the conversion efficiency, and their specific meanings are related to the material properties of the photovoltaic system, the adaptability of the working environment, etc., and are used to quantify the influence of solar radiation intensity, ambient temperature, atmospheric air quality, etc. on the conversion efficiency.

[0060] In PV / T, solar radiation is received and converted into heat energy. Similar to photovoltaic modules, the efficiency of photothermal collection is mainly limited by meteorological parameters such as ambient temperature, solar radiation intensity, and parameters of the photothermal system itself, and can be calculated according to the following formula group:

[0061] P T = GSη T ;

[0062] η T = F R [η T,0 -α(T / G)];

[0063] In the formula, P T represents the output power of the photothermal system; η T is the heat collection efficiency of the photothermal system; F R is the heat dissipation coefficient; η T,0 is the instantaneous heat collection efficiency of the photothermal system; and α is the heat loss coefficient.

[0064] (2) Gas turbine model;

[0065] The multi-energy complementary energy supply system is equipped with a micro gas turbine, which mainly uses natural gas as fuel to provide electric energy and thermal energy for the user side to cope with the uncertainty of renewable energy output. The output electric power and thermal power of the gas turbine are respectively shown in the following formula group:

[0066] P MT = Pe +P h ;

[0067]

[0068] where P MT represents the output power of the gas turbine, P e and P h are the electric power and thermal power output by the gas turbine, Q gas represents the consumption of natural gas, η e represents the power generation efficiency of the gas turbine, η loss represents the heat loss rate, and η h is the heating coefficient.

[0069] (3) Energy storage model;

[0070] The energy storage system includes an electricity storage unit and a heat storage unit, and its model is described as follows:

[0071] SOC m,t = E m,t / C m ;

[0072]

[0073] where m represents the type of energy storage device, i.e. electricity storage and heat storage; E m,t and E m,t+1 represent the remaining energy of the energy storage device at time t and time t+1, respectively; SOC m,t and SOC m,t+1 represent the charging / heat storage state of the energy storage device at time t and time t+1, respectively; and represent the charging / heat storage power and discharging / heat release power of the energy storage device at time t, respectively; and are 0-1 variables, representing the charging / heat storage and discharging / heat release states, respectively; C m represents the capacity of the energy storage device m.

[0074] Based on the above model, the following operation rules / mechanisms are set, specifically:

[0075] 1. The multi-energy complementary energy supply system participates in the electricity market;

[0076] The surplus electricity after power supply of the PV / T device is transmitted to the electricity storage unit of the energy storage system for storage, or to the power grid; the surplus heat after heat supply of the PV / T device is transmitted to the heat storage unit of the energy storage system for storage. In the process of power supply of the PV / T device, the power supply priority to the user side is the highest; when the power supply of the PV / T device is insufficient, the gas turbine or the power grid is used to supplement the power supply; the energy storage system is charged in the electricity price valley period.

[0077] Specifically, in the implementation process, the required power load of the user is provided by the non-schedulable renewable energy power generation device and the controllable gas turbine device. Solar energy, as a non-schedulable renewable energy, is significantly affected by meteorological conditions. Therefore, the priority supply target of the PV / T is to provide electrical energy and thermal energy for the residential load. When the PV / T system meets the load demand and still has surplus power, the energy storage system will store the excess power and sell it to the power grid in the non-valley period. If the PV / T system cannot meet the load demand, the gas turbine will be started and the power will be purchased from the power grid. In this process, the energy storage system will serve as a supplement to the gas turbine to provide power when the gas turbine is not running or cannot meet the user's power demand, thereby minimizing the purchase of power from the power grid in the non-valley period. In addition, the operation strategy of the gas turbine follows the electrical load pattern, and the core principle is not to generate too much power. Finally, in the valley period of low electricity price, if the energy storage device does not reach full load, it will be charged to enhance its regulation capacity.

[0078] 2. The multi-energy complementary energy supply system participates in carbon emission rights and green certificate trading;

[0079] 2.1 Carbon market;

[0080] The overall trading mode of the carbon market follows the Cap-and-Trade mechanism. For the multi-energy complementary energy supply system of the present embodiment, the main source of carbon emissions is thermal power generation and purchased power from the power grid. Therefore, the carbon quota allocation model is:

[0081]

[0082] In the formula, A MECS is the initial carbon quota of the system; A MT is the initial carbon quota of the gas turbine; A buy is the carbon quota obtained from the purchased power from the power grid; x MT is the carbon quota allocation coefficient of the gas turbine; x buy is the carbon quota allocation coefficient of the purchased power from the power grid; P buy is the amount of power purchased from the power grid.

[0083] The actual carbon emission model of the system is:

[0084]

[0085] wherein E MECS is the actual carbon emission of the system, E MT and E buy represent the actual carbon emission of the gas turbine and the purchased electricity from the grid, respectively; N g , C g , and O g represent the low heating value, the carbon content per unit of heat value, and the carbon oxidation rate of natural gas, respectively, and 44 / 12 is the relative molecular mass ratio of carbon dioxide to carbon; β buy is the CO2emission factor of the purchased electricity from the grid.

[0086] Therefore, the initial carbon emission right amount E CET_initial that the system needs to purchase or sell is calculated as follows:

[0087] E CET_initial = E MECS - A MECS ;

[0088] 2.2 Green certificate market;

[0089] Green certificate is the certification of renewable energy power. The power generation company obtains value income by selling green certificates. The renewable energy power generation of the multi-energy complementary power supply system can also be used for green certificate exchange. The green power generation amount of the multi-energy complementary system is P PV , and therefore the green certificate amount A tgc that can be sold is calculated as follows:

[0090] A tgc = P PV / 1000;

[0091] 2.3 Green certificate trading;

[0092] Under the comprehensive trading, considering that the green certificate is converted into carbon emission right, the amount of carbon emission right E CET is recalculated as follows:

[0093] E CET = E CET_initial + kA tgc + μA tgc ;

[0094] wherein k is the conversion coefficient, which is determined by the transaction price of the two markets, and μ is the carbon emission reduction coefficient represented by the green certificate.

[0095] 3. Multi-objective optimization model of multi-energy complementary system;

[0096] On the basis of the system model, a multi-objective optimization model is established with the cost target, the environmental target and the primary energy saving rate as the optimization targets. Thus, the embodiment will construct a multi-energy complementary system planning model which comprehensively considers economic benefits, environmental benefits and the primary energy saving rate.

[0097] Specifically, the model comprises:

[0098] 3.1 the cost target;

[0099] The embodiment takes the life cycle cost of the multi-energy complementary system as the economic index, and the life cycle cost of the system is composed of two parts, i.e. the initial investment construction cost and the operation cost, as shown in the following formula:

[0100] C total = C inv + C opt ;

[0101] In the formula, C total represents the total cost of the system, C inv and C opt respectively represent the construction cost and the operation cost of the system. The calculation formula of C inv is as follows:

[0102]

[0103] In the formula, I represents the set of all devices; i represents different devices in the system; r represents the depreciation rate, which is set to 8% in the embodiment; x i represents the life cycle of the device; c inv,i is the installation construction cost of the unit capacity of the device i; P in,i represents the design capacity of the device i.

[0104] The operation cost of the system mainly includes the maintenance cost C fc of the device, the cost C gb of buying electricity from the power grid, the cost C gas of consuming natural gas, and the power generation cost, i.e. the cost C cet in the carbon-green certificate transaction in the embodiment, and the specific calculation is as follows:

[0105] C opt = C fc + C gb + C gas + C cet ;

[0106] In the formula, the calculation formula of each cost is as follows:

[0107]

[0108] In the formula, P iP MECS represents the output power of device i;c fc,i P MECS represents the maintenance cost of device i;c eprice P MECS represents the electricity price;c gas P MECS represents the natural gas price;c cet P MECS represents the carbon price.

[0109] 3.2 Environmental target

[0110] This embodiment uses carbon emission as the environmental index. The carbon emission of the multi-energy complementary system consists of two parts, i.e., the emission generated by the operation of the system devices and the indirect carbon emission generated by the purchase of electricity from the public grid, which is specifically E MECS , i.e., the actual carbon emission of the system.

[0111] 3.3 Primary energy saving rate

[0112] The primary energy saving rate is the relative difference between the multi-energy complementary system and the independent production system in terms of primary energy consumption, i.e., the primary energy saving rate (PESR) is used as an index to measure the improvement of energy efficiency of the multi-energy complementary system. The calculation method is to divide the difference between the primary energy consumed by the traditional independent production (SP) system and the primary energy consumed by the multi-energy complementary system (MECS) by the primary energy consumed by the traditional SP system. The electricity consumption is converted into the primary energy consumption by the following formula:

[0113]

[0114] In the formula, P buy and P buy,con represent the electricity purchased by the MECS system and the traditional SP system from the grid; Q gas and Q gas,con represent the natural gas consumed by the MECS system and the traditional SP system; η grid and η e represent the power generation efficiency of the power plant and the power transmission efficiency of the grid, respectively, which are assumed to be the same in the MECS system and the SP system.

[0115] Thus, the multi-objective optimization model of this embodiment is constructed. Specifically, the planning of the multi-energy complementary system considers three indexes: cost, environment, and primary energy saving rate. These indexes have conflicting characteristics and involve multiple decision variables. Therefore, the complete model can be represented as:

[0116] optimal f(X)=optimal[f1(X),f2(X),f3(X)];

[0117] X=[P MT,in ,S,P SS,in ,P TS,in ,n];

[0118] Subject to: X∈Φ,P out (X)=L(X)+Δ(X),P out (X)∈Γ;

[0119] In the formula, X represents the decision variable, which refers to the installed capacity of each device in this study; P MT,in The rated power of the gas turbine is represented by S, the area of ​​the PV / T equipment is represented by P. SS,in and P TS,in These represent the rated capacities of the electrical energy storage and thermal energy storage devices, respectively; f(X) is the objective function, representing the optimized performance of the multi-energy complementary system; X∈Φ,P out (X)=L(X)+Δ(X),P out (X)∈Γ are constraints, including inequality constraints and equality constraints.

[0120] Specifically, the constraints are characterized as follows:

[0121] (a) Decision variable constraints:

[0122] P i,min ≤P i,in ≤P i,max ;

[0123] S min ≤S≤S max ;

[0124] Due to limited space for PV / T installation, the installation area of ​​PV / T equipment is restricted to S. min and S max Between; the installed capacity of each device is also limited, the installed capacity of device i shall not exceed P. i,max And not less than P i,min .

[0125] (b) Equipment operating constraints:

[0126] The operating power P of each component i in the system i,out It will not exceed its installed capacity, as expressed in the following expression:

[0127] 0≤P i,out ≤P i,in ;

[0128] Furthermore, the output and remaining capacity of energy storage elements are limited, and the capacity of energy storage devices is also restricted. Considering other constraints, the comprehensive expression is:

[0129]

[0130] In the formula, m represents the type of energy storage device; and These indicate the lower and upper limits of the energy storage device's state. `dis` and `chr` represent the discharge / thermal and charging / thermal states of the energy storage device, respectively. and This indicates the upper limit of a single discharge / heat and charge / heat storage of an energy storage device.

[0131] (c) Energy balance constraint:

[0132] The energy in this embodiment is mainly divided into electrical energy and thermal energy. The power balance constraint of electrical energy is shown in the following formula:

[0133]

[0134] The power balance constraint for thermal energy is shown in the following equation:

[0135]

[0136] In the formula, L e,t and L h,t This represents the electrical and thermal loads on the user side at time t.

[0137] For the multi-objective optimization model, the non-dominated sorting genetic algorithm (NSGA-II algorithm) is used to generate the Pareto front solution set; the optimal solution is selected from the Pareto front solution set based on the priority decision method of the ideal solution similarity ranking.

[0138] The steps for selecting the optimal solution from the Pareto front solution set include:

[0139] First, the aforementioned multi-objective optimization model is solved using the NSGA-II algorithm to obtain the Pareto front solution set;

[0140] Then, the TOPSIS method is used to select ideal solutions from the Pareto front solution set as the desired solutions; specifically as follows:

[0141] The optimal solution is selected using the similarity-to-ideal-solution ranking preference technique (TOPSIS), and its calculation formula is as follows:

[0142]

[0143] In the formula, Let represent the positive ideal solution for objective j; Let represent the negative ideal solution of objective j; Is it the goal to the positive ideal solution? The distance; Is it the goal to the negative ideal solution? The distance.

[0144] Furthermore, the calculation formula is as follows:

[0145]

[0146] Among them, C i The higher the value of C, the better the target value. i When the value is at its maximum, it represents the ideal solution to the evaluation objective, which is also the expected solution.

[0147] The obtained expected solution is then evaluated or verified to confirm that it is within the allowable range, and this is then taken as the optimal solution. Finally, the system operating parameters contained in the optimal solution are used as the corresponding operating strategy to obtain the actual system operating strategy.

[0148] Finally, it should be noted that the above content is only used to illustrate the technical solution of the present invention, and is not intended to limit the scope of protection of the present invention. Simple modifications or equivalent substitutions made by those skilled in the art to the technical solution of the present invention do not depart from the essence and scope of the technical solution of the present invention.

Claims

1. A multi-energy complementary power supply system, characterized in that: This includes PV / T equipment, gas turbines, and energy storage systems; The power output terminals of the PV / T equipment and the gas turbine, as well as the energy storage unit of the energy storage system and the power grid, are all connected to the user-side power bus; the power output terminal of the PV / T equipment is also connected to the energy storage unit of the energy storage system. The thermal output terminal of the PV / T equipment, the thermal power output terminal of the gas turbine, and the thermal storage unit of the energy storage system are all connected to the user-side thermal bus; the thermal output terminal of the PV / T equipment is also connected to the thermal storage unit of the energy storage system.

2. A control method for a multi-energy complementary power supply system, characterized in that: For controlling the multi-energy complementary power supply system of claim 1, the following steps are included: Obtain system initial parameters; Set the initial operating strategy based on the system's initial parameters and load requirements; Construct a system model based on the initial parameters and the initial operating strategy; Based on the system model described above, a multi-objective optimization model is established with cost objectives, environmental objectives, and primary energy saving rate as optimization objectives. A non-dominated sorting genetic algorithm is used to generate a Pareto front solution set for the multi-objective optimization model; a priority decision method based on the similarity ranking of ideal solutions is used to select the optimal solution from the Pareto front solution set. The system operation strategy is obtained through the optimal solution.

3. The control method for a multi-energy complementary power supply system according to claim 2, characterized in that: After the PV / T equipment supplies power, any surplus electricity is either sent to the energy storage unit of the energy storage system for storage or fed into the power grid. The waste heat from the PV / T equipment is transferred to the heat storage unit of the energy storage system for storage.

4. The control method for a multi-energy complementary power supply system according to claim 3, characterized in that: During the power supply process of the PV / T equipment, power supply to the user side has the highest priority. When the PV / T equipment is underpowered, power is supplemented by a gas turbine or the power grid. The energy storage system is charged during off-peak electricity prices.

5. The control method for a multi-energy complementary power supply system according to claim 2, characterized in that: The initial parameters of the system include building parameters, meteorological parameters, cost parameters, technical parameters, and environmental parameters.

6. The control method for a multi-energy complementary power supply system according to claim 2, characterized in that: The cost targets include initial construction costs and operating costs.

7. The control method for a multi-energy complementary power supply system according to claim 6, characterized in that: The operating costs include equipment maintenance costs, electricity purchase costs from the grid, and electricity generation costs.

8. The control method for a multi-energy complementary power supply system according to claim 2, characterized in that: The environmental targets are based on carbon emissions. The carbon emissions include emissions generated from the operation of system equipment and carbon emissions generated from purchasing electricity from the grid.

9. The control method for a multi-energy complementary power supply system according to claim 2, characterized in that: The primary energy saving rate is the relative difference in primary energy consumption between the multi-energy complementary system and the independent production system.

10. The control method for a multi-energy complementary power supply system according to claim 2, characterized in that: The steps for selecting the optimal solution from the Pareto front solution set include: Obtain the Pareto front solution set; Ideal solutions are selected from the Pareto front solution set using the TOPSIS method as the desired solutions. The expected solution is evaluated or verified to obtain the optimal solution.

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