Wind-light-gas-electricity storage integrated energy distribution network optimization method considering demand response

Abstract

The invention discloses a wind, light, gas and electricity storage integrated energy power distribution network optimization method considering demand response, and relates to the field of integrated energy power distribution network optimization. The invention relates to a wind-light-gas-electricity storage integrated energy distribution network optimization method considering demand response, which comprises the following steps of: 1, forming an integrated energy distribution network model, and establishing demand response, 2, acquiring operation parameters of power generation equipment and energy storage equipment, establishing an integrated energy distribution network optimization operation model, and calculating the demand response according to the operation parameters of the power generation equipment and the energy storage equipment. And step 3, determining an optimized operation strategy of the comprehensive energy distribution network to obtain an optimal optimization scheme. And step 4, performing optimization according to the comprehensive optimal optimization scheme. According to the invention, the problems of long-term idle standby energy storage and resource waste caused by the fact that optimization cannot be carried out in combination with energy storage equipment in the prior art are solved, different resources can be fully utilized, resource waste is avoided, the optimization effect is ensured, and the operation cost and energy loss of the comprehensive energy distribution network are reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of integrated energy distribution network optimization, and specifically to an integrated energy distribution network optimization method for wind, solar, gas, electricity and storage taking demand response into account. Background Art

[0002] With the continuous development of the global economy, the increasing energy crisis and the increasingly severe air pollution, clean energy and renewable energy have received great attention. Many countries have begun to formulate carbon emission standards in order to limit energy consumption, reduce greenhouse gas emissions and encourage the development of clean energy.

[0003] The Chinese patent with the publication number CN116191508A discloses an economic operation optimization method for an active distribution network with energy storage that takes into account wind and solar output, including: establishing mathematical models of each distributed power source; inputting environmental parameters, using neural networks to obtain 24-hour output forecasts of wind and photovoltaic power generation; taking operating costs, pollution costs and electricity purchase and sales costs as objective functions, and taking power balance constraints, thermal balance constraints, battery charging and discharging constraints, electricity purchase and sales constraints, minimum continuous shutdown and continuous operation time as constraints, to establish an economic dispatch optimization model for the active distribution network; solving the economic dispatch optimization model for the active distribution network, and obtaining the daily operation dispatch plan with the lowest operating cost of the distribution network in different seasons. The patent comprehensively considers the optimal combination of distributed power sources and the optimal load distribution method of the active distribution network, and quantitatively analyzes the impact of the active distribution network with energy storage on the economy and reliability of the power grid from three indicators: economic cost, pollution cost of pollutants to the environment, and electricity purchase and sales cost.

[0004] In actual use, the above patent cannot be optimized in combination with energy storage equipment, which leads to long-term idleness of backup energy storage and waste of resources. Therefore, it does not meet existing needs. We propose an optimization method for an integrated energy distribution network of wind, solar, gas, electricity and storage that takes demand response into account. Summary of the invention

[0005] The purpose of the present invention is to provide an optimization method for an integrated energy distribution network of wind, solar, gas, electricity and storage taking into account demand response. By adding different power generation equipment and energy storage equipment to the integrated energy distribution network at the same time, different resources can be fully utilized, thereby achieving the purpose of avoiding waste of resources and improving the operating economy and power supply capacity of the integrated energy distribution network. By taking minimum loss and minimum operating cost as optimization goals, the optimization effect is guaranteed, the operating cost and energy loss of the integrated energy distribution network are reduced, the normal operation of the integrated energy distribution network is ensured, and economic costs are saved, thereby solving the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solution: a comprehensive energy distribution network optimization method for wind, solar, gas, electricity and storage taking into account demand response, comprising the following steps:

[0007] Step 1: Add the power generation equipment and energy storage equipment in the integrated energy distribution network to the integrated energy distribution network with electric energy interaction, form a comprehensive energy distribution network model with energy storage equipment and electric power interaction, and determine the load change after demand response according to the time-of-use electricity price policy, and establish a demand response.

[0008] Step 2: Constrain the optimization model of the integrated energy distribution network, obtain the operating parameters of the power generation equipment and energy storage equipment through the optimization module, and establish the optimized operation model of the integrated energy distribution network based on the operating parameters.

[0009] Step 3: Determine the optimal operation strategy of the integrated energy distribution network by calculating the objective function according to the distribution network optimization algorithm taking into account the demand response, and obtain the optimal optimization plan for the integrated energy distribution network.

[0010] Step 4: According to the optimal optimization plan of the integrated energy distribution network, optimize the operation mode of photovoltaic power generation equipment, wind power generation equipment, gas generator sets and energy storage equipment to optimize the integrated energy distribution network.

[0011] Preferably, the optimization module includes:

[0012] The parameter acquisition module is used to obtain the operating parameters of power generation equipment and energy storage equipment. The power generation equipment includes photovoltaic power generation equipment, wind power generation equipment and gas generator sets.

[0013] The target setting module is used to set the optimization target corresponding to the integrated energy distribution network according to the first operating parameter, the second operating parameter, the third operating parameter and the fourth operating parameter, and the topological structure of the integrated energy distribution network.

[0014] The optimization and adjustment module is used to set the objective function corresponding to the optimization target, calculate the objective function according to the integrated energy distribution network optimization algorithm to determine the integrated energy distribution network optimization strategy, and adjust the optimal configuration of power generation equipment and energy storage equipment according to the integrated energy distribution network optimization strategy.

[0015] Preferably, the optimization objectives include the integrated energy distribution network losses and the total operating costs of the integrated energy distribution network.

[0016] Preferably, the parameter acquisition module specifically includes

[0017] The acquired photovoltaic power generation equipment parameter is marked as a first operating parameter.

[0018] The acquired wind turbine generator system parameter is marked as a second operating parameter.

[0019] The acquired gas generator set parameters are marked as third operating parameters.

[0020] The acquired energy storage device parameter is marked as a fourth operating parameter.

[0021] Preferably, the optimization goal is to minimize the total operating cost of the integrated energy distribution network, and the corresponding objective function is as follows:

[0022] C min =(C u +C b +C y )

[0023] Among them, C min is the minimum total operating cost of the integrated energy distribution network, C u is the operating cost of the power generation equipment, C b is the operating cost of the energy storage equipment, C y It is the cost of purchasing electricity for the integrated energy distribution network.

[0024] Preferably, the optimization goal is to minimize the loss of the comprehensive energy distribution network, and the corresponding objective function is as follows:

[0025]

[0026] Among them, P min is the minimum loss of the integrated energy distribution network, P i is the loss generated in the working mode of the integrated energy distribution network, P f is the static power consumption that is independent of the load, γ b is the coefficient related to the load of the integrated energy distribution network, P q is the dynamic power consumption related to the load, P s It is the loss generated in the sleep mode of the integrated energy distribution network.

[0027] Preferably, the optimization and adjustment module specifically includes:

[0028] The model building module is used to obtain the prediction data within the operation cycle of the power generation equipment and the real-time prediction data of the power generation equipment, and respectively build the optimization model within the operation cycle and the real-time optimization model.

[0029] The calculation module is used to calculate the optimization model within the operation cycle of the power generation equipment to obtain the optimization plan within the operation cycle, and calculate the real-time optimization model according to the optimization plan within the operation cycle of the power generation equipment to obtain the real-time optimization plan of each power generation equipment and energy storage equipment.

[0030] The adjustment module is used to slightly adjust the optimized configuration of the power generation equipment and the energy storage equipment according to the real-time optimization plan of the power generation equipment and the energy storage equipment.

[0031] Preferably, the calculation module includes:

[0032] The first calculation module is used to calculate the optimization model of the power generation equipment and the energy storage equipment during the operation cycle to obtain the optimization plan during the operation cycle.

[0033] The second calculation module is used to calculate the real-time optimization model according to the optimization scheme within the operation cycle of the power generation equipment and the energy storage equipment to obtain the real-time optimization scheme of each power generation equipment.

[0034] Preferably, the model building module includes:

[0035] The first model building module is used to obtain prediction data within the operation cycle of power generation equipment and energy storage equipment and build an optimization model within the operation cycle.

[0036] The second model building module is used to obtain real-time prediction data of power generation equipment and energy storage equipment and build a real-time optimization model.

[0037] Preferably, the workflow of the optimization module specifically includes:

[0038] An injection current source equivalent calculation is performed on the power generation equipment in the integrated energy distribution network to obtain a first operating parameter, a second operating parameter, a third operating parameter and a fourth operating parameter.

[0039] An optimization target corresponding to the integrated energy distribution network is set according to the first operating parameter, the second operating parameter, the third operating parameter and the fourth operating parameter, and the topological structure of the integrated energy distribution network.

[0040] Set the objective function corresponding to the optimization target, solve the objective function according to the integrated energy distribution network optimization algorithm to determine the integrated energy distribution network optimization strategy, and adjust the optimal configuration of power generation equipment and energy storage equipment according to the integrated energy distribution network optimization strategy.

[0041] Compared with the prior art, the present invention has the following beneficial effects:

[0042] The present invention simultaneously adds different power generation equipment and energy storage equipment to the comprehensive energy distribution network, which can fully utilize different resources, thereby achieving the purpose of avoiding waste of resources, improving the operating economy and power supply capacity of the comprehensive energy distribution network, and ensuring the optimization effect by taking minimum loss and minimum operating cost as optimization goals, reducing the operating cost and energy loss of the comprehensive energy distribution network, ensuring the normal operation of the comprehensive energy distribution network while saving economic costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 It is a module schematic diagram of the comprehensive energy distribution network optimization method of wind, solar, gas, electricity and storage taking into account demand response of the present invention;

[0044] Figure 2 This is a flow chart of the integrated energy distribution network optimization method of wind, solar, gas, electricity and storage taking into account demand response of the present invention. DETAILED DESCRIPTION

[0045] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0046] In order to solve the problem that the existing technology cannot be optimized in combination with energy storage equipment during actual use, which leads to long-term idleness of backup energy storage and waste of resources, please refer to Figure 1-Figure 2 , this embodiment provides the following technical solutions:

[0047] The integrated energy distribution network optimization method of wind, solar, gas, electricity and storage taking into account demand response includes the following steps:

[0048] Step 1: Add the power generation equipment and energy storage equipment in the integrated energy distribution network to the integrated energy distribution network with electric energy interaction, and form a comprehensive energy distribution network model with energy storage equipment and electric power interaction. Determine the load change after demand response according to the time-of-use electricity price policy, and establish a demand response. By adding different power generation equipment and energy storage equipment to the integrated energy distribution network at the same time, different resources can be fully utilized, thereby avoiding waste of resources and improving the operating economy and power supply capacity of the integrated energy distribution network.

[0049] Step 2: Constrain the integrated energy distribution network optimization model, obtain the operating parameters of the power generation equipment and energy storage equipment through the optimization module, establish the integrated energy distribution network optimization operation model based on the operating parameters, and perform corresponding optimization based on the operating costs and losses of different equipment to ensure that the power generation equipment and energy storage equipment are optimized more thoroughly.

[0050] Step 3: According to the distribution network optimization algorithm and taking into account the demand response, the objective function is calculated to determine the optimal operation strategy of the integrated energy distribution network, and the optimal optimization plan of the integrated energy distribution network is obtained. By optimizing the power generation equipment and energy storage equipment separately, with the minimum loss and minimum operating cost as the optimization goals, the optimization effect is guaranteed, the operating cost and energy loss of the integrated energy distribution network are reduced, and the normal operation of the integrated energy distribution network is ensured while saving economic costs.

[0051] Step 4: According to the optimal optimization plan of the integrated energy distribution network, optimize the operation mode of photovoltaic power generation equipment, wind power generation equipment, gas-fired power generation units and energy storage equipment to optimize the integrated energy distribution network, which can improve the operation efficiency of the integrated energy distribution network, reduce the loss of the integrated energy distribution network, and ensure the safety and reliability of the operation of the integrated energy distribution network.

[0052] Optimization modules, including:

[0053] The parameter acquisition module is used to obtain the operating parameters of power generation equipment and energy storage equipment. The power generation equipment includes photovoltaic power generation equipment, wind power generation equipment and gas generator sets. It can combine different power generation equipment and energy storage equipment, and will not cause the problem of energy storage equipment being idle for a long time, resulting in waste of resources. At the same time, adding energy storage equipment to the comprehensive energy distribution network can make full use of the energy storage equipment and ensure the reliability of the operation of the comprehensive energy distribution network.

[0054] The target setting module is used to set the optimization target corresponding to the integrated energy distribution network according to the first operating parameter, the second operating parameter, the third operating parameter and the fourth operating parameter, and the topological structure of the integrated energy distribution network.

[0055] The optimization and adjustment module is used to set the objective function corresponding to the optimization target, calculate the objective function according to the integrated energy distribution network optimization algorithm to determine the integrated energy distribution network optimization strategy, and adjust the optimal configuration of the power generation equipment and energy storage equipment according to the integrated energy distribution network optimization strategy. The optimization targets include the loss of the integrated energy distribution network and the total operating cost of the integrated energy distribution network. By optimizing the operating cost and loss of the power generation equipment and energy storage equipment, the operating cost and loss of the integrated energy distribution network are minimized, the operating cost and loss are reduced, and the service life of the integrated energy distribution network is increased.

[0056] Parameter acquisition module, including

[0057] The acquired photovoltaic power generation equipment parameter is marked as a first operating parameter.

[0058] The acquired wind turbine generator system parameter is marked as a second operating parameter.

[0059] The acquired gas generator set parameters are marked as third operating parameters.

[0060] The acquired energy storage device parameter is marked as a fourth operating parameter.

[0061] Taking the minimum total operating cost of the integrated energy distribution network as the optimization goal, the corresponding objective function is as follows:

[0062] C min =(C u +C b +Cy )

[0063] Among them, C min is the minimum total operating cost of the integrated energy distribution network, C u is the operating cost of the power generation equipment, C b is the operating cost of the energy storage equipment, C y In order to reduce the electricity purchase cost of the integrated energy distribution network, the power generation equipment and energy storage equipment are optimized accordingly according to the lowest cost of integrated energy operation, so that the operating cost of the integrated energy distribution network is always minimized, which fully reduces the operating cost of the integrated distribution network and reduces economic losses.

[0064] Taking the minimum loss of the integrated energy distribution network as the optimization goal, the corresponding objective function is as follows:

[0065]

[0066] Among them, P min is the minimum loss of the integrated energy distribution network, P i is the loss generated in the working mode of the integrated energy distribution network, P f is the static power consumption that is independent of the load, γ b is the coefficient related to the load of the integrated energy distribution network, P q is the dynamic power consumption related to the load, P s In order to account for the losses generated in the sleep mode of the integrated energy distribution network, the power generation equipment and energy storage equipment are optimized accordingly according to the minimum loss of the integrated energy distribution network, which can fully ensure that the loss of the power generation capacity of the integrated energy distribution network is always at the lowest state, thereby ensuring the optimization effect of the integrated energy distribution network.

[0067] Optimize and adjust the module, including:

[0068] The model building module is used to obtain the prediction data within the operation cycle of the power generation equipment and the real-time prediction data of the power generation equipment, and respectively build the optimization model within the operation cycle and the real-time optimization model.

[0069] The calculation module is used to calculate the optimization model within the operation cycle of the power generation equipment to obtain the optimization plan within the operation cycle, and calculate the real-time optimization model according to the optimization plan within the operation cycle of the power generation equipment to obtain the real-time optimization plan of each power generation equipment and energy storage equipment.

[0070] The adjustment module is used to slightly adjust the optimal configuration of power generation equipment and energy storage equipment according to the real-time optimization plan of power generation equipment and energy storage equipment. The constructed two-stage optimization model of the integrated energy distribution network can effectively smooth the power fluctuations caused by the prediction errors within the operation cycle, and can ensure that the real-time interconnection line plan closely follows the plan within the operation cycle, thereby reducing the impact on the production and planning of the integrated energy distribution network while improving the autonomous performance of the integrated energy distribution network.

[0071] Computing module, including:

[0072] The first calculation module is used to calculate the optimization model of the power generation equipment and the energy storage equipment during the operation cycle to obtain the optimization plan during the operation cycle.

[0073] The second calculation module is used to calculate the real-time optimization model according to the optimization scheme within the operation cycle of the power generation equipment and the energy storage equipment to obtain the real-time optimization scheme of each power generation equipment.

[0074] Model building modules, including:

[0075] The first model building module is used to obtain prediction data within the operation cycle of power generation equipment and energy storage equipment and build an optimization model within the operation cycle.

[0076] The second model building module is used to obtain real-time prediction data of power generation equipment and energy storage equipment and build a real-time optimization model.

[0077] Optimize the workflow of the module, including:

[0078] An injection current source equivalent calculation is performed on the power generation equipment in the integrated energy distribution network to obtain a first operating parameter, a second operating parameter, a third operating parameter and a fourth operating parameter.

[0079] An optimization target corresponding to the integrated energy distribution network is set according to the first operating parameter, the second operating parameter, the third operating parameter and the fourth operating parameter, and the topological structure of the integrated energy distribution network.

[0080] Set the objective function corresponding to the optimization target, solve the objective function according to the integrated energy distribution network optimization algorithm to determine the integrated energy distribution network optimization strategy, and adjust the optimal configuration of power generation equipment and energy storage equipment according to the integrated energy distribution network optimization strategy. It can comprehensively and systematically analyze the operating costs and losses of the integrated energy distribution network, and ensure that the integrated energy distribution network optimization strategy is the most consistent with the current integrated energy distribution network optimization strategy.

[0081] In summary, the comprehensive energy distribution network optimization method of wind, solar, gas, electricity and storage taking into account demand response of the present invention can make full use of different resources by adding different power generation equipment and energy storage equipment to the comprehensive energy distribution network at the same time, thereby achieving the purpose of avoiding waste of resources and improving the operating economy and power supply capacity of the comprehensive energy distribution network. By optimizing the power generation equipment and energy storage equipment accordingly according to the lowest cost of comprehensive energy operation, the operating cost of the comprehensive energy distribution network is always minimized, the operating cost of the comprehensive distribution network is fully reduced, and the economic loss is reduced. By optimizing the power generation equipment and energy storage equipment accordingly according to the minimum loss of the comprehensive energy distribution network, it can be fully ensured that the loss of the production capacity of the comprehensive energy distribution network is always at the lowest state, thereby ensuring the optimization effect of the comprehensive energy distribution network.

[0082] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0083] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A comprehensive energy distribution network optimization method for wind, solar, gas, electricity and storage taking into account demand response, characterized by: The following steps are involved: Step 1: Add the power generation equipment and energy storage equipment in the integrated energy distribution network to the integrated energy distribution network with electric energy interaction, form a model of the integrated energy distribution network with energy storage equipment and electric power interaction, and determine the load change after demand response according to the time-of-use electricity price policy, and establish a demand response; Step 2: Constrain the comprehensive energy distribution network optimization model, obtain the operating parameters of the power generation equipment and energy storage equipment through the optimization module, and establish the comprehensive energy distribution network optimization operation model according to the operating parameters; Step 3: Determine the optimal operation strategy of the integrated energy distribution network by calculating the objective function according to the distribution network optimization algorithm taking into account the demand response, and obtain the optimal optimization plan of the integrated energy distribution network; Step 4: According to the optimal optimization plan of the integrated energy distribution network, optimize the operation mode of photovoltaic power generation equipment, wind power generation equipment, gas generator sets and energy storage equipment to optimize the integrated energy distribution network.

2. The method for optimizing the comprehensive energy distribution network of wind, solar, gas, electricity and storage taking into account demand response according to claim 1 is characterized in that: The optimization module comprises: A parameter acquisition module is used to acquire the operating parameters of power generation equipment and energy storage equipment. The power generation equipment includes photovoltaic power generation equipment, wind power generation equipment and gas generator sets; A target setting module, used for setting an optimization target corresponding to the integrated energy distribution network according to the first operating parameter, the second operating parameter, the third operating parameter and the fourth operating parameter, and the topological structure of the integrated energy distribution network; The optimization and adjustment module is used to set the objective function corresponding to the optimization target, calculate the objective function according to the integrated energy distribution network optimization algorithm to determine the integrated energy distribution network optimization strategy, and adjust the optimal configuration of power generation equipment and energy storage equipment according to the integrated energy distribution network optimization strategy.

3. The method for optimizing the comprehensive energy distribution network of wind, solar, gas, electricity and storage taking into account demand response according to claim 2 is characterized by: The optimization objectives include the comprehensive energy distribution network losses and the total operating costs of the comprehensive energy distribution network.

4. The method for optimizing the comprehensive energy distribution network of wind, solar, gas, electricity and storage taking into account demand response according to claim 2 is characterized in that: The parameter acquisition module specifically includes Marking the acquired photovoltaic power generation equipment parameter as a first operating parameter; Marking the acquired wind power generation equipment parameter as a second operating parameter; Marking the acquired gas generator set parameter as a third operating parameter; The acquired energy storage device parameter is marked as a fourth operating parameter.

5. The method for optimizing the comprehensive energy distribution network of wind, solar, gas, electricity and storage taking into account demand response according to claim 3 is characterized by: Taking the minimum total operating cost of the integrated energy distribution network as the optimization goal, the corresponding objective function is as follows: C min =(C u +C b +C y ) Among them, C min is the minimum total operating cost of the integrated energy distribution network, C u is the operating cost of the power generation equipment, C b is the operating cost of the energy storage equipment, C y It is the cost of purchasing electricity for the integrated energy distribution network.

6. The method for optimizing the comprehensive energy distribution network of wind, solar, gas, electricity and storage taking into account demand response according to claim 3 is characterized by: Taking the minimum loss of the integrated energy distribution network as the optimization goal, the corresponding objective function is as follows: Among them, P min is the minimum loss of the integrated energy distribution network, P i is the loss generated in the working mode of the integrated energy distribution network, P f is the static power consumption that is independent of the load, γ b is the coefficient related to the load of the integrated energy distribution network, P q is the dynamic power consumption related to the load, P s It is the loss generated in the sleep mode of the integrated energy distribution network.

7. The method for optimizing the integrated energy distribution network of wind, solar, gas, electricity and storage taking into account demand response according to claim 2 is characterized in that: The optimization and adjustment module specifically includes: A model building module is used to obtain the prediction data within the operation cycle of the power generation equipment and the real-time prediction data of the power generation equipment, and respectively build an optimization model within the operation cycle and a real-time optimization model; A calculation module is used to calculate the optimization model of the power generation equipment during the operation cycle to obtain the optimization plan during the operation cycle, and calculate the real-time optimization model according to the optimization plan during the operation cycle of the power generation equipment to obtain the real-time optimization plan of each power generation equipment and energy storage equipment; The adjustment module is used to slightly adjust the optimized configuration of the power generation equipment and the energy storage equipment according to the real-time optimization plan of the power generation equipment and the energy storage equipment.

8. The method for optimizing the comprehensive energy distribution network of wind, solar, gas, electricity and storage taking into account demand response according to claim 7 is characterized by: The computing module comprises: The first calculation module is used to calculate the optimization model of the power generation equipment and the energy storage equipment during the operation cycle to obtain the optimization plan during the operation cycle; The second calculation module is used to calculate the real-time optimization model according to the optimization scheme within the operation cycle of the power generation equipment and the energy storage equipment to obtain the real-time optimization scheme of each power generation equipment.

9. The method for optimizing the integrated energy distribution network of wind, solar, gas, electricity and storage taking into account demand response according to claim 7 is characterized in that: The model building module comprises: The first model building module is used to obtain the prediction data within the operation cycle of the power generation equipment and the energy storage equipment, and build an optimization model within the operation cycle; The second model building module is used to obtain real-time prediction data of power generation equipment and energy storage equipment and build a real-time optimization model.

10. The method for optimizing the integrated energy distribution network of wind, solar, gas, electricity and storage taking into account demand response according to claim 9 is characterized in that: The workflow of the optimization module specifically includes: Performing injection current source equivalent calculation on power generation equipment in the integrated energy distribution network to obtain a first operating parameter, a second operating parameter, a third operating parameter, and a fourth operating parameter; According to the first operating parameter, the second operating parameter, the third operating parameter and the fourth operating parameter, and the topological structure of the integrated energy distribution network, an optimization target corresponding to the integrated energy distribution network is set; Set the objective function corresponding to the optimization target, solve the objective function according to the integrated energy distribution network optimization algorithm to determine the integrated energy distribution network optimization strategy, and adjust the optimal configuration of power generation equipment and energy storage equipment according to the integrated energy distribution network optimization strategy.

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