Method and system for testing scheduling control strategy of integrated energy system

Abstract

The invention discloses an integrated energy system scheduling control strategy test method and system, and relates to the technical field of integrated energy system testing, and the test system comprises an integrated energy simulation model, a control algorithm module, a test evaluation module and a user interaction interface. The comprehensive energy simulation model is constructed through the RTDS real-time digital simulation system, operation of the system under different working conditions can be comprehensively and accurately simulated, and reliable data support is provided for economical efficiency and environmental protection performance testing of a control algorithm. According to the test method and system, the simulation test result can be obtained in real time, and the control algorithm is dynamically evaluated according to the real-time data, so that a user can find and adjust problems existing in the control algorithm in time, and the operation efficiency and the environmental protection performance of the system are improved. The test method and system comprehensively consider the indexes of economy and environmental protection, and comprehensively evaluate the performance of the control algorithm, which is helpful for users to more comprehensively understand the advantages and disadvantages of the control algorithm.

Description

Technical Field

[0001] The present invention relates to the technical field of integrated energy system testing, and more specifically to a method and system for testing a scheduling control strategy of an integrated energy system containing compressed air energy storage. Background Art

[0002] With the transformation of the global energy structure and the demand for sustainable development, the integrated energy system (IES) with compressed air energy storage (CAES) has attracted much attention due to its excellent renewable energy absorption capacity and the coupling characteristics of multiple heterogeneous energy flows. However, facing different customers and application scenarios, there are different requirements for the economy and environmental protection of system operation. How to quickly test whether the system's dispatching control strategy meets customer requirements is a difficult problem.

[0003] Traditional testing methods often rely on the construction and operation of actual systems and various types of equipment. Not only are they costly and time-consuming, but they are also difficult to fully evaluate multiple indicators such as the economy and environmental protection of the system under different working conditions, and they are also difficult to respond to the actual needs of repeated adjustments of the system parameters of the test object. Therefore, it is of great significance to develop a testing method and system for the dispatching control strategy of an integrated energy system containing compressed air energy storage. Summary of the invention

[0004] In order to overcome the defects existing in the above-mentioned prior art, the present invention discloses a method and system for testing the scheduling control strategy of an integrated energy system. The present invention can simulate the operation of the integrated energy system under different working conditions, and test indicators such as the economy and environmental protection of different scheduling control strategies, so as to facilitate users to select appropriate scheduling control strategies.

[0005] In order to achieve the above objectives, the technical solution adopted by the present invention is: A method for testing a dispatching control strategy of an integrated energy system comprises the following steps: 1. Construction of comprehensive energy simulation model S1. Use a real-time digital simulation system to build a comprehensive energy simulation model including compressed air energy storage; Preferably, in step S1, the comprehensive energy simulation model includes a resource-load model, an equipment simulation model, an external constraint model and a cost-price model.

[0006] 2. Scheduling Control Strategy Design and Loading S2. Design a dispatch control strategy algorithm for an integrated energy system including compressed air energy storage and load the algorithm into the control algorithm module; Preferably, in step S2, the control algorithm module is a physical controller, and the physical controller uses 4-20mA analog signals, DI / DO switch signals, and communication signals to transmit signals between the controller and various subsystems of the test system.

[0007] 3. Configuration parameters S3. configuring parameters of a comprehensive energy simulation model including compressed air energy storage; Preferably, the S3 step configuration parameters include: In the resource-load model, the natural resource parameters of typical day wind speed and irradiance in different seasons, as well as the cold, heat and electricity load curves of typical days and the typical day number parameters are initialized; In the equipment simulation model, initialize the cut-in wind speed, cut-off wind speed, rated wind speed, and rated power parameters of the wind turbine; initialize the STC efficiency, temperature coefficient, and rated power parameters of the photovoltaic power generation system; initialize the rated power, compressor pressure ratio, and rated flow of the compressor; initialize the rated power, expansion ratio, and rated flow parameters of the expander, as well as the efficiency of the heat exchanger; initialize the gas boiler efficiency, absorption chiller COP, chilled water temperature, and high-temperature thermal oil temperature parameters; In the external constraint model, set the constraints of each device, including wind power, photovoltaic, gas power generation, as well as the upper and lower limits of the capacity of compressed air energy storage equipment, and the energy constraints of compressed air energy storage charging and discharging; In the price model, the power grid purchase price, gas price, electricity sales price, heating price, and cooling price at different times of each typical day are initialized.

[0008] 4. Test and Evaluation Module Construction S4. Use the real-time digital simulation system to build a test evaluation module, and connect the built test evaluation module with the comprehensive energy simulation model; wherein, when building the test evaluation module, the primary energy utilization rate, daily average operating cost, operating profit rate, and CO2 emission reduction rate test indicators are built in; 4.1. Primary energy utilization rate Preferably, in step S4, the primary energy utilization rate for: ; in, represents the primary energy utilization rate, Indicates the cooling capacity of the system. Indicates the system heat supply. Indicates the system power supply. Indicates the amount of electricity purchased from the power grid converted to consumption. Indicates the natural gas consumption of waste heat boiler, Indicates the natural gas consumption of the gas-fired generator set. represents a time series, Indicates the maximum statistical time period.

[0009] The above system refers to an integrated energy system.

[0010] 4.2 Daily average operating cost Preferably, in step S4, the daily average operating cost for: ; in, represents the average daily operating cost, represents the daily average operating energy consumption cost, represents the average daily operation and maintenance cost, Represents the average daily construction and investment cost.

[0011] Preferably, in step S4, the daily average operating energy consumption cost for: ; in, Indicates daily The amount of electricity purchased by the system from the grid during the period; Indicates daily Natural gas consumption of waste heat boilers during the period; Indicates daily Natural gas consumption of combustion engine generators during the period; Indicates daily The purchase price of electricity during the period; Indicates daily The purchase price of natural gas during the period; Indicates the number of days the system typically runs. represents a typical day for the system, represents the time series for each typical day, Indicates the maximum statistical period of each typical day period.

[0012] Preferably, in step S4, the daily average operation and maintenance cost for: ; in, express The system within the period The operation and maintenance cost per unit capacity of a system or device; Indicates the configuration capacity of each system or device in the system. Indicates a system or device, represents a typical day for the system, Indicates the total number of systems or devices. represents the time series for each typical day, Indicates the maximum statistical period of each typical day period, Indicates the number of days the system typically runs.

[0013] Preferably, in step S4, the average daily construction and investment cost for: ; in, Indicates the system The construction or purchase cost per unit capacity of the system or equipment; Indicates the system operation and maintenance years; Indicates the configuration capacity of each system or device in the system; represents the discount rate, which is 0.1; Indicates type of system or equipment; Indicates the total number of systems or devices.

[0014] 4.3. Operating Profit Margin Preferably, in step S4, the operating profit rate for: ; ; in, represents the operating profit margin, represents the average daily operating cost, represents the total revenue of the integrated energy system on a typical working day, Indicates daily Electricity price during the period, Indicates daily Heating price by time period, Indicates daily Cooling price by time period, represents the power generation of the comprehensive energy system in each period, Indicates the heat supply of the comprehensive energy system in each period, Indicates the cooling capacity of the integrated energy system in each period, represents the time series for each typical day, Indicates the maximum statistical period of each typical day period, represents a typical day for the system, Indicates the number of days the system typically runs.

[0015] 4.4. CO2 emission reduction rate Preferably, in step S4, the CO2 emission reduction rate for: ; ; ; in, It represents the average carbon emission coefficient of the electricity purchased from the power grid in the dispatching area; It indicates the amount of electricity purchased from the power grid under the dispatch control strategy; Indicates the carbon emission coefficient of natural gas in the dispatching area; It indicates the amount of natural gas consumed by the system under the dispatch control strategy; It means that the electricity that needs to be purchased from the power grid to meet the same load demand under the condition of independent operation of the distribution system without using integrated energy; It means the total amount of natural gas that needs to be consumed to meet the same load demand when the distribution system operates independently instead of using integrated energy; It represents the total carbon emissions of the integrated energy system under the dispatching control strategy to be tested during the simulated operation period; It indicates the total carbon emissions in the same simulated operation period when the cooling, heating and electricity systems are operated independently instead of the integrated energy system; It represents the CO2 emission reduction rate of the integrated energy system under the dispatching control strategy to be tested.

[0016] 5. Simulation S5, start the control algorithm module, the integrated energy simulation model and the test evaluation module, the control algorithm module issues control instructions to each device of the integrated energy simulation model through the built-in scheduling control strategy algorithm, and the integrated energy simulation model performs simulation according to the control instructions; 6. Test index calculation S6. The test evaluation module calculates the primary energy utilization rate, daily average operating cost, operating profit rate, and CO2 emission reduction rate test indicators of the operation of the comprehensive energy simulation model under different dispatch control strategies according to the simulation situation of the comprehensive energy simulation model, and generates a corresponding test report to be displayed on the user interaction interface; 7. User Preference Adjustment S7. Based on the test report and actual needs, the user selects an appropriate scheduling control strategy or optimizes the strategy.

[0017] Based on the above test method, the present invention further provides a comprehensive energy system dispatch control strategy test system, comprising: Comprehensive energy simulation model, used to build a detailed simulation model of the combined cooling, heating and power integrated energy system with compressed air energy storage, including resource-load model, equipment simulation model, external constraint model and price model; A control algorithm module, connected to the integrated energy simulation model, in which various control algorithms for scheduling the integrated energy system including compressed air energy storage are arranged, and used to issue control instructions to each device model in the integrated energy simulation model; A test evaluation module, connected to the comprehensive energy simulation model, evaluates the energy-saving index, economic index and environmental protection index of the control algorithm according to the results of the simulation test; The user interaction interface is connected to the comprehensive energy simulation model, control algorithm module and test evaluation module respectively, providing a user interaction interface for performing simulation tests, real-time monitoring of the system and equipment operating status, outputting the evaluation results in the form of reports or charts, and selecting simulation scenarios, setting simulation parameters, and writing control algorithms through the interface.

[0018] In the present invention, the energy saving index includes primary energy utilization rate ; Economic indicators include daily average operating costs , operating profit margin ; Environmental protection indicators include CO2 emission reduction rate .

[0019] Preferably, the resource-load model is used to provide natural resource data of the area where the user is located, as well as cold, hot and electric load data at different time periods; The equipment simulation model is used to simulate the operation of the integrated energy system under different working conditions, including wind turbines, photovoltaic power generation systems, gas turbine generators, compressed air energy storage systems, waste heat boilers, absorption refrigeration devices, and cold, heat, and electricity load models; Wherein, the compressed air energy storage system includes an electric motor, a compressor, an air storage tank, an expander, a heat exchanger, a heat storage tank, a generator, and a converter; The external constraint model is used to design boundary conditions, including equipment configuration capacity, average output, maximum load power, minimum load power, investment cost, and operating life; The price model includes the purchase or construction cost of each sub-equipment, the purchase price of gas and electricity in different time periods, and the transaction price of cooling, heating and electricity.

[0020] Beneficial effects of the present invention: 1) Comprehensiveness and accuracy: The comprehensive energy simulation model is constructed through the RTDS real-time digital simulation system, which can comprehensively and accurately simulate the operation of the system under different working conditions and provide reliable data support for the economic and environmental testing of the control algorithm.

[0021] 2) Real-time and dynamic: The test method and system can obtain the results of simulation tests in real time and dynamically evaluate the control algorithm based on real-time data. This helps users to promptly discover and adjust problems in the control algorithm and improve the system's operating efficiency and environmental performance.

[0022] 3) Comprehensive evaluation of economy and environmental protection: The test method and system comprehensively consider the indicators of economy and environmental protection, and conduct a comprehensive evaluation of the performance of the control algorithm. This helps users to have a more comprehensive understanding of the advantages and disadvantages of the control algorithm and provide strong support for optimizing the control strategy.

[0023] 4) User-friendliness: The test method and system provide a friendly user interaction interface, which facilitates users to perform simulation tests, view results, and optimize algorithms, which reduces the user's learning cost and difficulty of use and improves the usability of the test system. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 Schematic diagram of the comprehensive energy system scheduling control strategy testing system provided by the present invention. DETAILED DESCRIPTION

[0025] The concept, specific structure and technical effects of the present invention will be clearly and completely described below in conjunction with the embodiments and drawings to fully understand the purpose, characteristics and effects of the present invention.

[0026] Example 1 A method for testing a dispatching control strategy of an integrated energy system comprises the following steps: S1. Use a real-time digital simulation system to build a comprehensive energy simulation model including compressed air energy storage; S2. Design a dispatch control strategy algorithm for an integrated energy system including compressed air energy storage and load the algorithm into the control algorithm module; S3. configuring parameters of a comprehensive energy simulation model including compressed air energy storage; S4. Use the real-time digital simulation system to build a test evaluation module, and connect the built test evaluation module with the comprehensive energy simulation model; wherein, when building the test evaluation module, the primary energy utilization rate, daily average operating cost, operating profit rate, and CO2 emission reduction rate test indicators are built in; S5, start the control algorithm module, the integrated energy simulation model and the test evaluation module, the control algorithm module issues control instructions to each device of the integrated energy simulation model through the built-in scheduling control strategy algorithm, and the integrated energy simulation model performs simulation according to the control instructions; S6. The test evaluation module calculates the primary energy utilization rate, daily average operating cost, operating profit rate, and CO2 emission reduction rate test indicators of the operation of the comprehensive energy simulation model under different dispatch control strategies according to the simulation situation of the comprehensive energy simulation model, and generates a corresponding test report to be displayed on the user interaction interface; S7. Based on the test report and actual needs, the user selects an appropriate scheduling control strategy or optimizes the strategy.

[0027] Example 2 Based on Example 1, this embodiment further elaborates on step S1. In step S1, an RTDS simulation system is used to construct a comprehensive energy simulation model including compressed air energy storage. The comprehensive energy simulation model includes a resource-load model, an equipment simulation model, an external constraint model and a cost model.

[0028] The equipment simulation model mainly includes models of motors, compressors, gas storage tanks, expanders, heat exchangers, heat storage tanks, generators, power converters, wind turbines, photovoltaic power generation systems, gas turbine generators, waste heat boilers, absorption refrigeration devices, and other equipment models, as well as the connection relationships between the equipment. The load model is mainly divided into typical day-ahead load models in winter, summer, and transition seasons, including data such as cooling load, heating load, and electrical load.

[0029] Example 3 Based on Example 2, this embodiment further elaborates on step S2. In step S2, the designed comprehensive energy scheduling control strategy algorithm containing compressed air energy storage is loaded into the physical controller (such as PLC, embedded controller, industrial control computer, etc.), mainly using 4-20mA analog signals, DI / DO switch signals, and communication signals to transmit signals between the controller and the subsystems of the test system.

[0030] Example 4 This embodiment further elaborates on step S3 based on embodiment 3. In step S3, the detailed simulation model related parameters of the comprehensive energy simulation system including compressed air energy storage are configured, which are as follows: In the resource-load model, initialize the natural resource parameters such as typical day wind speed and irradiance in different seasons (summer, winter, transition season) of the system; as well as the cold, heat, and electricity load curves of typical days; and parameters such as the number of typical days; In the comprehensive energy equipment simulation model, initialize the cut-in wind speed, cut-off wind speed, rated wind speed, rated power and other parameters of the wind turbine; the STC efficiency, temperature coefficient, rated power and other parameters of the photovoltaic power generation system; the rated power, compressor pressure ratio, rated flow of the compressor; the rated power, expansion ratio, rated flow and other parameters of the expander, the efficiency of the heat exchanger; the efficiency of the gas boiler, the COP of the absorption chiller, the chilled water temperature, the high-temperature heat transfer oil temperature and other parameters; In the external constraint model, set the constraints of each device in the system, mainly including the upper and lower limits of the capacity of wind power, photovoltaic, gas power generation, compressed air energy storage and other equipment, and the energy constraints of compressed air energy storage charging and discharging; In the price model, the power purchase price PR of the power grid at different time periods on each typical day is initialized. eb,k (t), gas price PR gas,k (t), electricity selling price PR es,k (t), heating price PR h,k (t), cooling price PR c,k (t) etc.

[0031] Example 5 This embodiment further elaborates on step S4 based on embodiment 4. In step S4, the test evaluation module is built by RTDs and connected to the simulation model of the comprehensive energy simulation system containing compressed air energy storage. In the test evaluation module, four test indicators are mainly built-in: primary energy utilization rate, daily average operating cost, operating profit rate, and CO2 emission reduction rate; 1. Primary energy utilization rate: ; in, represents the primary energy utilization rate, Indicates the cooling capacity of the system. Indicates the system heat supply. Indicates the system power supply. Indicates the amount of electricity purchased from the power grid converted to consumption. Indicates the natural gas consumption of waste heat boiler, Indicates the natural gas consumption of the gas-fired generator set. represents a time series, Indicates the maximum statistical time period.

[0032] 2. Daily average operating cost: ; in, represents the average daily operating cost, represents the daily average operating energy consumption cost, represents the average daily operation and maintenance cost, Represents the average daily construction and investment cost.

[0033] Average daily operating energy cost for: ; in, Indicates daily The amount of electricity purchased by the system from the grid during the period; Indicates daily Natural gas consumption of waste heat boilers during the period; Indicates daily Natural gas consumption of combustion engine generators during the period; Indicates daily The purchase price of electricity during the period; Indicates daily The purchase price of natural gas during the period; Indicates the number of days the system typically runs. represents a typical day for the system, represents the time series for each typical day, Indicates the maximum statistical period of each typical day period.

[0034] Average daily operation and maintenance cost for: ; in, express The system within the period The operation and maintenance cost per unit capacity of a system or device; Indicates the configuration capacity of each system or device in the system. Indicates a system or device, represents a typical day for the system, Indicates the total number of systems or devices. represents the time series for each typical day, Indicates the maximum statistical period of each typical day period, Indicates the number of days the system typically runs.

[0035] Average daily construction and investment costs for: ; in, Indicates the system The construction or purchase cost per unit capacity of the system or equipment; Indicates the system operation and maintenance years; Indicates the configuration capacity of each system or device in the system; represents the discount rate, which is 0.1; Indicates type of system or equipment; Indicates the total number of systems or devices.

[0036] 3. Operating profit margin: ; ; in, represents the operating profit margin, represents the average daily operating cost, represents the total revenue of the integrated energy system on a typical working day, Indicates daily Electricity price during the period, Indicates daily Heating price by time period, Indicates daily Cooling price by time period, represents the power generation of the comprehensive energy system in each period, Indicates the heat supply of the comprehensive energy system in each period, Indicates the cooling capacity of the integrated energy system in each period, represents the time series for each typical day, Indicates the maximum statistical period of each typical day period, represents a typical day for the system, Indicates the number of days the system typically runs.

[0037] 4. CO2 emission reduction rate: ; ; ; in, It represents the average carbon emission coefficient of the electricity purchased from the power grid in the dispatching area; It indicates the amount of electricity purchased from the power grid under the dispatch control strategy; Indicates the carbon emission coefficient of natural gas in the dispatching area; It indicates the amount of natural gas consumed by the system under the dispatch control strategy; It means that the amount of electricity that needs to be purchased from the power grid to meet the same load demand under the condition of independent operation of the distribution system without using integrated energy; It means the total amount of natural gas that needs to be consumed to meet the same load demand when the distribution system operates independently instead of using integrated energy; It represents the total carbon emissions of the integrated energy system under the dispatching control strategy to be tested during the simulated operation period; It indicates the total carbon emissions in the same simulated operation period when the cooling, heating and electricity systems are operated independently instead of the integrated energy system; It represents the CO2 emission reduction rate of the integrated energy system under the dispatching control strategy to be tested.

[0038] Example 6 This embodiment further elaborates on step S5 based on embodiment 5. In step S5, after checking that the line is intact and the wiring is correct, the physical controller loaded with the integrated energy dispatching control strategy containing compressed air energy storage, the integrated energy simulation system model, the test module, etc. is started. The physical controller will issue corresponding instructions to each device of the integrated energy simulation system model through the built-in dispatching control strategy algorithm according to the load curve in the resource load model, external constraints, and price model data.

[0039] Example 7 Based on Example 6, this embodiment further elaborates on step S6. In step S6, the system testing module will calculate the primary energy utilization rate, daily average operating cost, operating profit rate and CO2 emission reduction rate of the comprehensive energy simulation system under different scheduling control strategies according to the actual operation of the simulation system, and form a corresponding test report.

[0040] Example 8 This embodiment further elaborates on step S7 based on embodiment 7. In step S7, the user selects a suitable scheduling control strategy algorithm or optimizes the algorithm according to the test report and his / her actual needs.

[0041] Example 9 A comprehensive energy system dispatch control strategy testing system, such as Figure 1 As shown, including: 1) Comprehensive energy simulation model: It is used to construct a detailed simulation model of a combined cooling, heating and power energy system with compressed air energy storage, which mainly consists of four parts: resource-load model, equipment simulation model, external constraint model and price model; Among them, the resource-load model mainly includes the natural resource data of the user's area, and the cold, heat, and electricity load data models at different time periods; Equipment simulation models mainly include wind turbines, photovoltaic power generation systems, gas turbine generators, compressed air energy storage systems, waste heat boilers, absorption refrigeration devices, cold, heat, electricity and other load models, as well as the establishment of comprehensive energy system models including electricity, heat and cold energy, which are mainly used to simulate the operation of the system under different working conditions. The model can accurately reflect the interaction between the components within the system and the interaction between the system and the external environment.

[0042] The compressed air energy storage system includes an electric motor, a compressor, an air storage tank, an expander, a heat exchanger, a heat storage tank, a generator, a converter, etc.

[0043] The external constraint model is mainly used for the main boundary conditions of system design, such as the configuration capacity of each equipment, average output, maximum and minimum power of the load, as well as investment cost, operating life and other data.

[0044] The cost-price model mainly includes the purchase or construction cost of each sub-equipment, the purchase price of gas and electricity at different times, and the transaction price of cooling, heating and electricity.

[0045] 2) Control algorithm module: various control algorithms for the dispatch of integrated energy systems with compressed air energy storage. This module is connected to the integrated energy simulation system, issues control instructions to each device model in the integrated energy simulation system, and obtains data such as the system's operating status, energy consumption, and pollutant emissions under different control algorithms.

[0046] 3) Test evaluation module: Based on the results of simulation tests, the energy-saving indicators, economic indicators and environmental protection indicators of the control algorithm are evaluated. This module can quantitatively evaluate the control algorithm to be tested based on preset economic indicators and environmental protection indicators (such as primary energy utilization rate, daily average operating cost, operating profit rate, CO2 emission reduction rate), which is convenient for customers to compare and analyze.

[0047] 4) User interaction interface: Provide a friendly user interaction interface to facilitate users to conduct simulation tests, real-time monitoring of system and equipment operating status, and output evaluation results in the form of reports or charts to provide decision support for the optimal design and operation of IES. Users can select simulation scenarios, set simulation parameters, and write control algorithms through the interface.

[0048] The above is a specific description of the implementation mode of the present invention, but the present invention is not limited to the described embodiments. Those skilled in the art may make various equivalent modifications or substitutions without violating the spirit of the present invention, and these equivalents or substitutions are all included in the scope defined by the claims of the present invention.

Claims

1. A method for testing a dispatching control strategy for an integrated energy system, characterized in that: The following steps are involved: S1. Use a real-time digital simulation system to build a comprehensive energy simulation model including compressed air energy storage; S2. Design a dispatch control strategy algorithm for an integrated energy system including compressed air energy storage and load the algorithm into the control algorithm module; S3. configuring parameters of a comprehensive energy simulation model including compressed air energy storage; S4. Use the real-time digital simulation system to build a test evaluation module, and connect the built test evaluation module with the comprehensive energy simulation model; wherein, when building the test evaluation module, the primary energy utilization rate, daily average operating cost, operating profit rate, and CO2 emission reduction rate test indicators are built in; S5, start the control algorithm module, the integrated energy simulation model and the test evaluation module, the control algorithm module issues control instructions to each device of the integrated energy simulation model through the built-in scheduling control strategy algorithm, and the integrated energy simulation model performs simulation according to the control instructions; S6. The test evaluation module calculates the primary energy utilization rate, daily average operating cost, operating profit rate, and CO2 emission reduction rate test indicators of the operation of the comprehensive energy simulation model under different dispatch control strategies according to the simulation situation of the comprehensive energy simulation model, and generates a corresponding test report to be displayed on the user interaction interface; S7. Based on the test report and actual needs, the user selects an appropriate scheduling control strategy or optimizes the strategy.

2. A method for testing a comprehensive energy system dispatching control strategy according to claim 1, characterized in that: In step S1, the comprehensive energy simulation model includes a resource-load model, an equipment simulation model, an external constraint model and a cost-price model.

3. A comprehensive energy system dispatch control strategy testing method according to claim 1, characterized in that: In step S2, the control algorithm module is a physical controller, and the physical controller uses 4-20mA analog signals, DI / DO switch signals, and communication signals to transmit signals between the controller and various subsystems of the test system.

4. A method for testing a scheduling control strategy of an integrated energy system according to claim 2, characterized in that: S3 step configuration parameters include: In the resource-load model, the natural resource parameters of typical day wind speed and irradiance in different seasons, as well as the cold, heat and electricity load curves of typical days and the typical day number parameters are initialized; In the equipment simulation model, initialize the cut-in wind speed, cut-off wind speed, rated wind speed, and rated power parameters of the wind turbine; initialize the STC efficiency, temperature coefficient, and rated power parameters of the photovoltaic power generation system; initialize the rated power, compressor pressure ratio, and rated flow of the compressor; initialize the rated power, expansion ratio, and rated flow parameters of the expander, as well as the efficiency of the heat exchanger; initialize the gas boiler efficiency, absorption chiller COP, chilled water temperature, and high-temperature thermal oil temperature parameters; In the external constraint model, set the constraints of each device, including wind power, photovoltaic, gas power generation, as well as the upper and lower limits of the capacity of compressed air energy storage equipment, and the energy constraints of compressed air energy storage charging and discharging; In the price model, the power grid purchase price, gas price, electricity sales price, heating price, and cooling price at different times of each typical day are initialized.

5. A comprehensive energy system dispatch control strategy testing method according to claim 1, characterized in that: In step S4, the primary energy utilization rate for: ； in, represents the primary energy utilization rate, Indicates the cooling capacity of the system. Indicates the system heat supply. Indicates the system power supply. Indicates the amount of electricity purchased from the power grid converted to consumption. Indicates the natural gas consumption of waste heat boiler, Indicates the natural gas consumption of the gas-fired generator set. represents a time series, Indicates the maximum statistical time period.

6. A comprehensive energy system dispatch control strategy testing method according to claim 1, characterized in that: In step S4, the daily average operating cost for: ； in, represents the average daily operating cost, represents the daily average operating energy cost, represents the average daily operation and maintenance cost, represents the average daily construction and investment cost; The average daily operating energy consumption cost for: ； in, Indicates daily The amount of electricity purchased by the system from the grid during the period; Indicates daily Natural gas consumption of waste heat boilers during the period; Indicates daily Natural gas consumption of combustion engine generators during the period; Indicates daily The purchase price of electricity during the period; Indicates daily The purchase price of natural gas during the period; Indicates the number of days the system typically runs. represents a typical day for the system, represents the time series for each typical day, Indicates the maximum statistical period for each typical day period; The average daily operation and maintenance cost for: ； in, express The system within the period The operation and maintenance cost per unit capacity of a system or device; Indicates the configuration capacity of each system or device in the system. Indicates a system or device, represents a typical day for the system, Indicates the total number of systems or devices. represents the time series for each typical day, Indicates the maximum statistical period of each typical day period, Indicates the number of days the system typically runs; The average daily construction and investment costs for: ； in, Indicates the system The construction or purchase cost per unit capacity of the system or equipment; Indicates the system operation and maintenance years; Indicates the configuration capacity of each system or device in the system; represents the discount rate, which is 0.1; Indicates type of system or equipment; Indicates the total number of systems or devices.

7. A method for testing a dispatching control strategy of an integrated energy system according to claim 1, characterized in that: In step S4, the operating profit margin for: ； ； in, represents the operating profit margin, represents the average daily operating cost, represents the total revenue of the integrated energy system on a typical working day, Indicates daily Electricity price during the period, Indicates daily Heating price by time period, Indicates daily Cooling price by time period, represents the power generation of the comprehensive energy system in each period, Indicates the heat supply of the comprehensive energy system in each period, Indicates the cooling capacity of the integrated energy system in each period, represents the time series for each typical day, Indicates the maximum statistical period of each typical day period, represents a typical day for the system, Indicates the number of days the system typically runs.

8. A method for testing a scheduling control strategy of an integrated energy system according to claim 1, characterized in that: In step S4, the CO2 emission reduction rate for: ； ； ； in, It represents the average carbon emission coefficient of the electricity purchased from the power grid in the dispatching area; It indicates the amount of electricity purchased from the power grid under the dispatch control strategy; Indicates the carbon emission coefficient of natural gas in the dispatching area; It indicates the amount of natural gas consumed by the system under the dispatch control strategy; It means that the amount of electricity that needs to be purchased from the power grid to meet the same load demand under the condition of independent operation of the distribution system without using integrated energy; It means the total amount of natural gas that needs to be consumed to meet the same load demand when the distribution system operates independently instead of using integrated energy; It represents the total carbon emissions of the integrated energy system under the dispatching control strategy to be tested during the simulated operation period; It indicates the total carbon emissions in the same simulated operation period when the cooling, heating and electricity systems are operated independently instead of the integrated energy system; It represents the CO2 emission reduction rate of the integrated energy system under the dispatching control strategy to be tested.

9. A comprehensive energy system dispatching control strategy testing system based on the testing method of any one of claims 1 to 8, characterized in that: include: Comprehensive energy simulation model, used to build a detailed simulation model of the combined cooling, heating and power integrated energy system with compressed air energy storage, including resource-load model, equipment simulation model, external constraint model and price model; A control algorithm module, connected to the integrated energy simulation model, in which various control algorithms for scheduling the integrated energy system including compressed air energy storage are arranged, and used to issue control instructions to each device model in the integrated energy simulation model; A test evaluation module, connected to the comprehensive energy simulation model, evaluates the energy-saving index, economic index and environmental protection index of the control algorithm according to the results of the simulation test; The user interaction interface is connected to the comprehensive energy simulation model, control algorithm module and test evaluation module respectively, providing a user interaction interface for performing simulation tests, real-time monitoring of the system and equipment operating status, outputting the evaluation results in the form of reports or charts, and selecting simulation scenarios, setting simulation parameters, and writing control algorithms through the interface.

10. A comprehensive energy system dispatching control strategy testing system according to claim 9, characterized in that: The resource-load model is used to provide natural resource data of the user's area, as well as cooling, heating and electricity load data at different time periods; The equipment simulation model is used to simulate the operation of the integrated energy system under different working conditions, including wind turbines, photovoltaic power generation systems, gas turbine generators, compressed air energy storage systems, waste heat boilers, absorption refrigeration devices, and cold, heat, and electricity load models; Wherein, the compressed air energy storage system includes an electric motor, a compressor, an air storage tank, an expander, a heat exchanger, a heat storage tank, a generator, and a converter; The external constraint model is used to design boundary conditions, including equipment configuration capacity, average output, maximum load power, minimum load power, investment cost, and operating life; The price model includes the purchase or construction cost of each sub-equipment, the purchase price of gas and electricity in different time periods, and the transaction price of cooling, heating and electricity.

Images