Wind-solar-thermal-storage-fused system-friendly power station and planning method

Abstract

The invention provides a wind-solar-thermal-storage-fused system-friendly power station and a planning method. The power station comprises a functional assembly and a regulation and control module. The functional assembly is optimized and determined through three-dimensional evaluation of technical feasibility, index matching degree and economical efficiency and comprises a new energy module, an electric energy storage module, an electric heating module and a heat storage and exchange module, and a scheduling strategy of the regulation and control module is a day-ahead, real-time and emergency three-level scheduling strategy; the new energy module comprises a first power generation unit and a heating unit; the first power generation unit is connected with the electric energy storage module; the heating unit is respectively connected with the external heat supply network and the heat storage and exchange module; the regulation and control module is connected with the electric energy storage module and the heat storage and exchange module. The electric energy storage module is respectively connected with the electric heating module and the external power grid; the electric heating module is connected with the heat storage and exchange module and the outer heat supply network. The wind-solar-thermal-storage-fused system-friendly power station has the system-friendly functions of reliable supporting, flexible adjustment, good network friend involvement, safety emergency and the like.

Description

Technical Field

[0001] This invention relates to the field of power plant planning technology, specifically to a system-friendly power plant integrating wind, solar, thermal, and energy storage, and its planning method. Background Technology

[0002] Existing power plants are mainly single-energy power plants (such as wind power and photovoltaic power generation independently) or power plants with simple energy storage systems. They rely on energy storage equipment (such as electrochemical energy storage and pumped storage) to generate power, which has very limited flexibility. For example, the integrated wind-solar-thermal-storage power plants built in Northwest China mainly include wind power, photovoltaic, and solar thermal power. When planning and designing the scale and configuration of the power plants, only resource conditions and economic efficiency were considered. In actual construction and operation, they were split into independent projects, each subject to grid dispatch separately, and basically did not have heating functions.

[0003] The disadvantages of existing conventional wind and solar power plants are as follows: First, the output fluctuates greatly: wind and solar resources are highly volatile, intermittent, and random, making it difficult to incorporate them into the power dispatch balance. Second, there is insufficient coordination: the various elements within the power plant (such as wind power, photovoltaic, solar thermal, and energy storage) are operated independently, and integrated joint optimization has not been achieved.

[0004] Third, the planning and design methods are crude: site selection and capacity design only consider the amount of resources and the economics of the project. When planning and designing the scale configuration, the benefits of complementary characteristics and coordinated operation of various elements are not taken into account. Summary of the Invention

[0005] This invention addresses the problems existing in the prior art by providing a system-friendly power plant integrating wind, solar, thermal and energy storage, which has reliable support, flexible adjustment, network-friendly features, and safety and emergency response capabilities. It achieves a scientific and reasonable scale configuration through three-dimensional evaluation and optimization, and combines integrated optimization and scheduling of storage and heat exchange modules to form a comprehensive energy supply system that coordinates electricity, heat and storage.

[0006] To achieve the above objectives, the technical solution adopted by the present invention is as follows: In a first aspect, embodiments of the present invention propose a system-friendly power plant integrating wind, solar, thermal, and energy storage, comprising functional components and a control module. The functional components include a new energy module, an electric energy storage module, an electric heating module, and an energy storage / heat exchange module. These functional components are determined through three-dimensional evaluation and optimization, which includes technical feasibility evaluation, indicator matching degree evaluation, and economic evaluation. The control module employs a three-level scheduling strategy, comprising day-ahead scheduling, real-time scheduling, and emergency scheduling. The new energy module includes a first power generation unit and a heating unit. The first power generation unit is connected to the electric energy storage module. The heating unit is connected to both the external heating network and the energy storage / heat exchange module. The control module is connected to both the electric energy storage module and the energy storage / heat exchange module. The electric energy storage module is connected to both the electric heating module and the external power grid. The electric heating module is connected to both the energy storage / heat exchange module and the external heating network.

[0007] In some embodiments, the functional component further includes a steam turbine module, the input of which is connected to the heating unit; The turbine module includes a second power generation unit and a waste heat unit; the second power generation unit is connected to the electric heating module, the external power grid and the electric energy storage module respectively; the waste heat unit is connected to the external heat network and the heat storage and exchange module respectively.

[0008] In some embodiments, the input of the turbine module is also connected to an external heat source.

[0009] Secondly, embodiments of the present invention also propose a system-friendly power plant planning method integrating wind, solar, thermal, and energy storage, comprising: Obtain survey data; Based on the survey data and the three-dimensional evaluation and optimization, quantitative functional indicators are formulated. The three-dimensional evaluation and optimization includes technical feasibility evaluation and optimization, indicator matching degree evaluation and optimization, and economic evaluation and optimization. Functional components are selected based on the quantitative functional indicators; the functional components include a new energy module, an electric energy storage module, an electric heating module, and a heat storage and exchange module. An initial prediction model is constructed based on the aforementioned functional components; Based on the initial prediction model and the survey data, the prediction model and the new energy output curve are obtained respectively. A simulation model is constructed based on the survey data, the prediction model, and the functional components; A simulation formula is constructed based on the new energy output curve and the survey data; The simulation optimization results are obtained by solving the simulation formula based on the simulation model and the quantitative functional index. A scheduling strategy is obtained based on the new energy output curve, the quantitative functional indicators, the simulation optimization results, and the functional components; the scheduling strategy is a three-level scheduling strategy, which includes a day-ahead scheduling strategy, a real-time scheduling strategy, and an emergency scheduling strategy; the scheduling strategy is used to configure the control module. The system-friendly power plant is obtained based on the simulation optimization results, the functional components, and the scheduling strategy.

[0010] In some embodiments, the survey data includes historical resource data, historical load data, and constraints; The historical resource data includes historical new energy resource data; The historical load data includes historical electrical load data and historical heat load data; The constraints include grid connection level, land area, environmental protection requirements, and investment budget.

[0011] In some embodiments, the historical resource data also includes historical available external thermal data.

[0012] In some embodiments, the quantitative functional indicators include power supply friendliness indicators, heating security indicators, economic indicators, and environmental protection indicators.

[0013] In some embodiments, the simulation model includes a system operation simulation module and an economic simulation module.

[0014] In some embodiments, the simulation formulas include formulas for predicting the combined output of new energy sources, formulas for optimizing energy storage capacity configuration, and formulas for economic indicators.

[0015] In some embodiments, the simulation optimization results include the installed capacity of the new energy module, the capacity of the electric energy storage module, the power of the electric heating module, and the capacity of the heat exchange module.

[0016] Compared with the prior art, the present invention has the following beneficial effects: The wind-solar-thermal-storage integrated system-friendly power plant proposed in this invention obtains a scientific and reasonable scale configuration through three-dimensional evaluation and optimization. At the same time, it combines the integrated optimization and scheduling operation of storage and heat exchange modules to form a comprehensive energy supply system that coordinates "electricity-heat-storage". This enables the system-friendly power plant to have system-friendly functions such as reliable support, flexible adjustment, network friendliness, and safety emergency response. Attached Figure Description

[0017] Figure 1 This is a schematic diagram of the structure of a system-friendly power station integrating wind, solar, thermal, and energy storage according to the present invention. Figure I ; Figure 2This is a schematic diagram of the structure of a system-friendly power station integrating wind, solar, thermal, and energy storage according to the present invention. Figure II ; Figure 3 This is a schematic diagram of the structure of a system-friendly power station integrating wind, solar, thermal, and energy storage according to the present invention. Figure III ; Figure 4 This is a flowchart illustrating a system-friendly power plant planning method integrating wind, solar, thermal, and energy storage according to the present invention.

[0018] The attached diagram is labeled as follows: 110, New Energy Module; 111, First Power Generation Unit; 112, Heating Unit; 120, Electric Energy Storage Module; 130, Electric Heating Module; 140, Heat Storage and Exchange Module; 150, Steam Turbine Module; 151, Second Power Generation Unit; 152, Waste Heat Unit; 200, Control Module; 300, External Power Grid; 400, External Heat Grid; 500, Electric Power Transmission; 510, First Electric Power; 520, Second Electric Power; 530, Third Electric Power; 540, Fourth Electric Power; 600, Heat Energy Transmission; 610, First Heat Energy; 620, Second Heat Energy; 630, Third Heat Energy; 640, Fourth Heat Energy; 650, Fifth Heat Energy; 660, Sixth Heat Energy; 670, Seventh Heat Energy; 680, Eighth Heat Energy; 700, External Heat Source. Detailed Implementation

[0019] To clearly illustrate the technical features of this solution, the implementation methods of this application will be described in detail below with reference to the accompanying drawings and embodiments. This will allow for a full understanding and implementation of how this application uses technical means to solve technical problems and achieve corresponding technical effects. The embodiments of this application and the various features within them can be combined with each other without conflict, and the resulting technical solutions are all within the protection scope of this application.

[0020] Firstly, see [the following] Figure 1This invention proposes a wind-solar-thermal-storage integrated system-friendly power plant, including functional components and a control module 200. The functional components include a new energy module 110, an energy storage module 120, an electric heating module 130, and a heat exchange module 140. These components are determined through three-dimensional evaluation and optimization, including technical feasibility evaluation, indicator matching degree evaluation, and economic evaluation. The control module 200 employs a three-level scheduling strategy, including day-ahead scheduling, real-time scheduling, and emergency scheduling. The new energy module 110 includes a first power generation unit 111 and a heating unit 112. The first power generation unit 111 is connected to the energy storage module 120 and is used to convert new energy... The resources are converted into first-stage electrical energy and first-stage electrical energy 510 is provided to the energy storage module 120. In actual construction, the first power generation unit 111 usually includes wind turbine generators and photovoltaic generators. The first power generation unit 111 is the foundation for the power generation of the system-friendly power station. The first-stage electrical energy includes first-stage electrical energy 510. The heating unit 112 is connected to the external heat network 400 and the heat storage and exchange module 140 respectively. The heating unit 112 is used to convert new energy resources into first-stage thermal energy, provide first-stage thermal energy 610 to the external heat network 400, and provide second-stage thermal energy 620 to the heat storage and exchange module 140. The first-stage thermal energy includes first-stage thermal energy 610 and second-stage thermal energy 620. In actual construction, the heating unit 112 usually includes a solar thermal unit. The control module 200 is connected to the electric energy storage module 120 and the heat exchange module 140 respectively. The control module 200 participates in peak shaving, frequency regulation and provides backup capacity by scheduling the electric energy storage module 120, reducing the impact of wind and solar grid connection on the power grid. Peak shaving includes peak load increase and energy storage discharge, and off-peak energy storage charging. Frequency regulation includes responding to grid frequency deviation, supercapacitor fast regulation and lithium battery fast regulation. The control module 200 realizes heat energy "peak shaving and valley filling" by scheduling the heat exchange module 140. At the same time, it can also have the function of continuous and stable heating, thereby realizing system-friendly functions such as peak shaving, frequency regulation, voltage regulation and inertia support. The energy storage module 120 is connected to the electric heating module 130 and the external power grid 300 respectively; the energy storage module 120 is used to store the first electrical energy 510, to provide the second electrical energy 520 to the electric heating module 130, and to provide the third electrical energy 530 to the external power grid 300 based on the control module 200; the energy storage module 120 is used to smooth the output fluctuations of the first power generation unit 111, such as sudden drops in wind speed, cloud cover, etc. The electric heating module 130 is connected to the heat storage and exchange module 140 and the external heat network 400 respectively. The electric heating module 130 is used to convert the second electrical energy 520 into the second converted heat energy, to provide the third heat energy 630 to the external heat network 400, and to provide the fourth heat energy 640 to the heat storage and exchange module 140. The second converted heat energy includes the third heat energy 630 and the fourth heat energy 640. The electric heating module 130 includes various types of electric heating devices, such as electrode heat pumps and air source heat pumps, to achieve staged heating. The heat storage and exchange module 140 is used to store the second heat energy 620 and the fourth heat energy 640, and to provide the fifth heat energy 650 to the external heat network 400 based on the control module 200. The external heat network 400 supplies industrial heat or residential heating to users through the heat exchange pipeline network. The temperature range for industrial heat is typically 120℃-350℃, and the temperature range for residential heating is 40℃-80℃.

[0021] Typically, in new urban areas or integrated energy service areas, the core functional requirements of the area are to simultaneously meet the needs of power supply reliability, residential heating, and grid auxiliary services. In this case, distributed photovoltaics are usually configured as new energy modules 110 on rooftops and parking lots, lithium battery energy storage is configured as electric energy storage modules, air source heat pumps are configured as electric heating modules 130, and water thermal storage is configured as heat exchange modules 140 to participate in urban power grid peak shaving and heat energy "peak shaving and valley filling".

[0022] Beneficially, the wind-solar-thermal-storage integrated system-friendly power plant proposed in this invention obtains a scientific and reasonable scale configuration through three-dimensional evaluation and optimization. At the same time, it combines the integrated optimization and scheduling operation of the storage and heat exchange module 140 to form a comprehensive energy supply system that coordinates "electricity-heat-storage". This enables the system-friendly power plant to have system-friendly functions such as reliable support, flexible adjustment, network friendliness, and safety emergency response.

[0023] See Figure 2 In some embodiments, the functional components also include a steam turbine module 150, the input of which is connected to the heating unit 112 to form a solar thermal power generation. For example, in power grid areas with high renewable energy penetration, the core functional requirements of such areas are to smooth out wind and solar fluctuations and provide peak shaving and frequency regulation services. Stable power output can be supplemented by solar thermal power generation. In this case, lithium battery energy storage and supercapacitors are preferentially configured as energy storage modules 120, and supercapacitors achieve frequency regulation. Preferably, the capacity of lithium battery energy storage is 1-4 hours. In addition, in remote areas without electricity or weak grid areas, the core functional requirements of the area are to achieve independent power supply and residential heating at low cost. In this case, a small back-pressure steam turbine generator can be configured as a steam turbine module 150. Preferably, an off-grid distributed wind and solar generator set can be configured as a new energy module 110, lead-carbon energy storage can be configured as an electric energy storage module 120 to meet long-cycle requirements, and water thermal storage can be configured as a heat exchange module 140 to reduce costs. The first conversion of thermal energy also includes a sixth thermal energy 660; the heating unit 112 is also used to provide the sixth thermal energy 660 to the turbine module 150, which includes a second power generation unit 151 and a waste heat unit 152. The second power generation unit 151 is connected to the electric heating module 130, the external power grid 300, and the electric energy storage module 120 respectively. The second power generation unit 151 is used to convert the sixth thermal energy 660 into the second converted electrical energy, and to provide the fourth electrical energy 540 to the electric heating module 130. At this time, the second converted electrical energy includes the fourth electrical energy 540. In addition, in some embodiments, the turbine module 150 generates electricity more stably and can not directly supply power to the external power grid 300 and / or the electric heating module 130 through the electric energy storage module 120. That is, the turbine module 150 is also used to provide the fifth electrical energy to the external power grid 300 and to provide the sixth electrical energy to the electric energy storage module 120. At this time, the second converted electrical energy includes the fourth electrical energy 540, the fifth electrical energy, and the sixth electrical energy. The electric heating module 130 is also used to convert the fourth electrical energy 540 into the second converted heat energy; the electric energy storage module 120 is also used to store the sixth electrical energy. Waste heat unit 152 is connected to external heat network 400 and heat storage and exchange module 140 respectively; waste heat unit 152 is used to obtain third converted heat energy according to sixth heat energy 660, to provide seventh heat energy 670 to external heat network 400, and to provide eighth heat energy 680 to heat storage and exchange module 140, the third converted heat energy includes seventh heat energy 670 and eighth heat energy 680; The heat storage and exchange module 140 is also used to store the eighth thermal energy 680.

[0024] See Figure 3 In some embodiments, the input end of the turbine module 150 is also connected to an external heat source 700, which is used to provide the turbine module 150 with heat energy. Typically, in industrial parks, such as chemical manufacturing plants, the core functional requirements of such areas are stable power supply and continuous industrial heat with high parameters. In this case, industrial waste heat is used as the external heat source 700 to supply heat to the turbine module 150, thereby improving heat utilization efficiency and ensuring power supply continuity. Typically, this area is equipped with an extraction condensing turbine generator to achieve combined heat and power. In this case, an electrode heat pump is preferentially configured as an electric heating module 130 to meet high temperature requirements, and molten salt thermal storage is configured as a heat exchange module 140 to achieve high thermal storage density requirements.

[0025] Secondly, see Figure 4 This invention proposes a system-friendly power plant planning method integrating wind, solar, thermal, and energy storage, comprising: Acquire survey data by conducting on-site surveys, data collection, and user interviews to clarify core input parameters; in some embodiments, the survey data includes historical resource data, historical load data, and constraints. Historical resource data includes historical new energy resource data; historical new energy data includes historical annual average wind speed, historical annual average irradiance, and power output fluctuation coefficient, etc.; in addition, in some embodiments, historical resource data also includes historical available external heat data, such as external heat temperature, external heat flow, and external heat continuity, etc.

[0026] Historical load data includes historical electrical load data and historical heat load data; historical electrical load data includes peak and valley values, peak and valley periods, and fluctuation frequency, while historical heat load data includes temperature demand, duration, and load curve, etc. The constraints include grid connection level, land area, environmental protection requirements, and investment budget. The grid connection level includes voltage level and grid connection capacity limits, while the environmental protection requirements include carbon emission limits.

[0027] Quantitative functional indicators were formulated based on survey data and three-dimensional evaluation and optimization. The three-dimensional evaluation and optimization included technical feasibility evaluation and optimization, indicator matching degree evaluation and optimization, and economic evaluation and optimization. In some embodiments, the quantitative functional indicators include power supply friendliness indicators, heating security indicators, economic indicators, and environmental protection indicators. Taking an industrial park as an example, some quantitative functional indicators are shown in Table 1. Table 1. Quantitative Functional Indicators of an Industrial Park Functional components are selected based on quantitative functional indicators; the functional components include a new energy module 110, an electric energy storage module 120, an electric heating module 130, and a heat exchange and storage module 140; in some embodiments, the functional components also include a steam turbine module 150; wherein, wind turbine generators and photovoltaic generators are selected from the new energy module 110, and the selection logic for some functional components is as follows: The new energy module 110 includes the selection of wind turbine generator sets and photovoltaic generator sets; The selection logic for wind turbine generator sets is as follows: in areas with wind speed ≥ 6m / s, double-fed wind turbine generator sets are selected, with a power generation efficiency ≥ 92%; in areas with wind speed < 6m / s, direct-drive wind turbine generator sets are selected, as they have strong adaptability to low wind speeds. The selection logic for photovoltaic power generation units is as follows: when the irradiance is ≥1500kWh / m² In the year, monocrystalline silicon photovoltaic modules were selected for the region, with a conversion efficiency of ≥23%; distributed BIPV was selected in the industrial park, which can also take into account building shading. In the energy storage module 120: In regions with peak-shaving demand of 1-4 hours, lithium iron phosphate batteries are selected, with a cost of ≤1.2 yuan / Wh. In regions with frequency regulation demand of <1 minute, supercapacitors are selected, with a power density of ≥5000W / kg. Lead-carbon energy storage is selected in remote areas. The cycle life of lead-carbon energy storage is ≥3000 times and the operation and maintenance cost is low. In the heat exchange module 140: Molten salt thermal energy storage is selected for industrial high-temperature heat use areas with temperatures >200℃. The thermal energy storage density of molten salt thermal energy storage is ≥300kJ / kg. Water thermal energy storage is selected for residential heating. The cost of water thermal energy storage is usually ≤200 yuan / m³. Plate heat exchangers are selected for scenarios requiring rapid heat exchange. The heat exchange efficiency of plate heat exchangers is ≥95%. Shell and tube heat exchangers are selected for high flow rate scenarios. In some embodiments, when referring to turbine module 150: In areas with sufficient sunlight, trough-type solar thermal power generation can achieve a system efficiency of ≥18% for wind, solar, thermal and energy storage integrated power plants. Sufficient sunlight refers to an annual irradiance of ≥2000 kWh / m². Industrial parks are equipped with waste heat access interfaces, which are used to recover waste heat with a temperature of ≥150℃ and supply heat to the turbine module 150 as an external heat source 700.

[0028] An initial prediction model is constructed based on functional components. Preferably, the initial prediction model is an LSTM neural network model, which can be implemented using MATLAB or Simulink. Based on the initial prediction model and survey data, the prediction model and the new energy output curve are obtained respectively. Historical new energy data, such as historical annual average wind speed and historical annual average irradiance, are input into the initial prediction model at a preset time resolution, usually 15 minutes. The initial prediction model is trained to obtain the prediction model, and the new energy output curve is output. The new energy output network includes the day-ahead output curve and the real-time output curve, with a prediction error of ≤8%. A simulation model is constructed based on survey data, predictive models, and functional components; In some embodiments, the simulation model includes a system operation simulation module and an economic simulation module; A grid access model was built using PSCAD / EMTDC, and a heat exchange and storage model was built using TRNSYS. The grid access model and the heat exchange and storage model were coupled to obtain a system operation simulation module that coordinates wind and solar power, heat storage and heat exchange. The RETScreen software was used to calculate the total life cycle cost. The price and operation and maintenance rate of each device in the functional components were input, as well as the electricity price and heat price, to obtain the economic simulation module. Based on the survey data, the input operation and maintenance rate was set to 2%-3% / year, the input electricity price was set to 0.45 yuan / kWh, and the input heat price was set to 0.3 yuan / kWh. Simulation formulas are constructed based on new energy output curves and survey data; in some embodiments, the simulation formulas include formulas for predicting the combined output of new energy sources, formulas for optimizing energy storage capacity configuration, and formulas for economic indicators. Taking the combined output of wind and solar power as an example, the formula for predicting the combined output of new energy sources is: ; In the formula, for The power output of new energy sources is measured in kW. For time, for The rated output of the fan at any given time is measured in kW. for The wind turbine's power generation efficiency at any given time is calculated from the wind speed. for Rated output of photovoltaic power at all times for The photovoltaic conversion efficiency at any given time is calculated from irradiance and / or temperature. The formula for optimizing energy storage capacity configuration is: ; In the formula, For energy storage capacity, To maximize the function, This represents the peak load, in kW. The peak-shaving duration is expressed in hours; typically, energy storage capacity... Take the maximum value of the difference between the peak load and the wind and solar power output within 24 hours; The formula for economic indicators is: ; In the formula, Net present value, For the first Annual cash inflow This refers to the total revenue from electricity and heat sales, as well as ancillary services, typically expressed in yuan. For the first Annual cash outflow This is the sum of initial investment amortization and operating costs, usually expressed in yuan. For year serial number, For the lifespan of the power station, The benchmark rate of return is typically 8%. The simulation optimization results are obtained by solving the simulation formula based on the simulation model and quantitative functional indicators. The solution process is to minimize the net present value of the simulation model while satisfying the quantitative functional indicators. The Particle Swarm Optimization (PSO) algorithm is used to iteratively optimize variables until the net present value is reached. If the iteration error is ≤1%, output the simulation optimization results; The simulation optimization results obtained include the installed capacity of the new energy module 110, the capacity of the electric energy storage module 120, the power of the electric heating module 130, and the capacity of the heat exchange module 140. These are all optimal equipment configuration parameters, such as a wind turbine capacity of 50MW, a photovoltaic unit capacity of 30MW, an electric energy storage capacity of 20MWh, and a heat exchange device capacity of 100MWh. The scheduling strategy is obtained based on the new energy output curve, quantitative functional indicators, simulation optimization results, and functional components. The scheduling strategy is a three-level scheduling strategy, which includes day-ahead scheduling strategy, real-time scheduling strategy, and emergency scheduling strategy. The scheduling strategy is used to configure the control module 200. The current dispatch strategy is as follows: based on the prediction model, the new energy output curve for the next day is obtained, and the energy storage module 120 energy storage charging and discharging plan and the electric heating module 130 electric heating start and stop plan are determined. For example, based on actual needs: The energy storage module 120's energy storage charging and discharging plan is as follows: energy storage charging is carried out during the off-peak period from 23:00 to 7:00, and energy discharging is carried out during the peak load periods from 9:00 to 12:00 and from 17:00 to 21:00. The electric heating module 130's electric heating start-stop plan is as follows: during peak heating periods, waste heat or solar thermal heating is used first; when waste heat or solar thermal heating is insufficient, electric heating is activated. The real-time scheduling strategy is as follows: when the output fluctuation of new energy sources exceeds the fluctuation threshold or the load deviation exceeds the deviation threshold, rapid adjustment of energy storage is triggered. Typically, the fluctuation threshold is 5% and the deviation threshold is 3%. Rapid adjustment of energy storage has a response time of ≤1s, and in frequency regulation scenarios, the output is adjusted according to the following formula: ; In the formula, To adjust the amount, For frequency modulation coefficients, This refers to the power grid frequency deviation. The emergency dispatch strategy is as follows: when the power grid fails, the system switches to the critical load supply mode. The critical load supply mode consists of a microgrid composed of the energy storage module 120 and the turbine module 150 to ensure continuous power and heating for critical loads, including core production lines in industrial parks and residential heating, with a switching time of ≤0.5s.

[0029] Based on the simulation optimization results, functional components, and scheduling strategy planning, a system-friendly power plant is obtained. Based on the optimal equipment configuration parameters and scheduling strategy obtained from the simulation optimization results, a feasible system-friendly power plant, namely a wind-solar-thermal-storage integrated power plant scheme, is formed. The scheme must meet the optimal synergy of functional indicators, economic efficiency, and environmental protection requirements.

[0030] 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 system-friendly power plant that integrates wind, solar, heat storage and fusion, characterized in that, The system comprises functional components and a control module; the functional components comprise a new energy module, an electrical energy storage module, an electrical heating module and a heat storage and exchange module, the functional components are determined through three-dimensional evaluation optimization, the three-dimensional evaluation optimization comprises technical feasibility evaluation optimization, index matching degree evaluation optimization and economic evaluation optimization, the control module has a three-level scheduling strategy, the three-level scheduling strategy comprises day-ahead scheduling, real-time scheduling and emergency scheduling; the new energy module comprises a first power generation unit and a heating unit; the first power generation unit is connected to the electrical energy storage module; the heating unit is connected to an external heat network and the heat storage and exchange module; the control module is connected to the electrical energy storage module and the heat storage and exchange module; the electrical energy storage module is connected to an electrical heating module and an external power grid; the electrical heating module is connected to the heat storage and exchange module and the external heat network.

2. The wind-solar-thermal-ice hybrid system-friendly power plant according to claim 1, characterized in that, The functional components further comprise a steam turbine module, an input end of the steam turbine module being connected to the heating unit; The steam turbine module comprises a second power generation unit and a waste heat unit; the second power generation unit is connected to the electrical heating module, the external power grid and the electrical energy storage module; the waste heat unit is connected to the external heat network and the heat storage and exchange module.

3. The wind-solar-thermal-ice hybrid system-friendly power plant of claim 2, wherein, The input end of the steam turbine module is further connected to an external heat source.

4. A system-friendly power plant planning method for wind-solar-thermal-storage hybrid systems, characterized in that, The system comprises: acquiring investigation data; formulating quantitative functional indexes according to the investigation data and three-dimensional evaluation optimization, the three-dimensional evaluation optimization comprising technical feasibility evaluation optimization, index matching degree evaluation optimization and economic evaluation optimization; selecting functional components according to the quantitative functional indexes; the functional components comprise a new energy module, an electrical energy storage module, an electrical heating module and a heat storage and exchange module; constructing an initial prediction model based on the functional components; obtaining a prediction model and a new energy output curve based on the initial prediction model and the investigation data respectively; constructing a simulation model based on the investigation data, the prediction model and the functional components; constructing a simulation formula based on the new energy output curve and the investigation data; solving the simulation formula based on the simulation model and the quantitative functional indexes to obtain simulation optimization results; obtaining a scheduling strategy according to the new energy output curve, the quantitative functional indexes, the simulation optimization results and the functional components; the scheduling strategy is a three-level scheduling strategy, the three-level scheduling strategy comprising day-ahead scheduling, real-time scheduling and emergency scheduling; the scheduling strategy is used for configuring a control module; planning the system-friendly power station according to the simulation optimization results, the functional components and the scheduling strategy.

5. The wind-solar-thermal-energy-storage hybrid system-friendly power plant planning method of claim 4, wherein, The investigation data comprises historical resource data, historical load data and constraint conditions; the historical resource data comprises historical new energy resource data; the historical load data comprises historical electrical load data and historical thermal load data; the constraint conditions comprise power grid access level, land area, environmental protection requirements and investment budget.

6. The wind-solar-thermal-energy storage hybrid system-friendly power plant planning method of claim 5, wherein, The historical resource data further comprises historical available external heat data.

7. The wind-solar-thermal-energy-storage hybrid system-friendly power plant planning method of claim 4, wherein, The quantitative functional indexes comprise power supply friendliness index, heat supply guarantee index, economic index and environmental protection index. 8.The system-friendly wind-solar-thermal-hybrid power station planning method according to claim 4, characterized in that, The simulation model comprises a system operation simulation module and an economy simulation module.

9. The wind-solar-thermal-energy storage hybrid system-friendly power plant planning method of claim 4, wherein, The simulation formula comprises a new energy joint output prediction formula, a storage capacity configuration optimization formula and an economy index formula.

10. The wind-solar-thermal-energy storage hybrid system-friendly power plant planning method of claim 4, wherein, The simulation optimization result comprises equipment installed capacity of a new energy module, equipment capacity of the electric energy storage module, equipment power of an electric heating module and equipment capacity of a heat storage and conversion module.

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