Cooperative optimization control method, device and equipment based on multi-type energy storage system and medium

Abstract

The application discloses a collaborative optimization control method and device based on a multi-type energy storage system, equipment and a medium, and comprises the following steps: determining a preset maximum energy storage capacity of a multi-type joint energy storage system, and determining an externally accessible maximum energy storage capacity; determining a plurality of external access schemes according to the externally accessible maximum energy storage capacity; constructing a plurality of current energy storage schemes of the multi-type joint energy storage system; determining an optimal external access scheme of the multi-type joint energy storage system under the current energy storage scheme; and collecting the optimal external access scheme under each current energy storage scheme to obtain a joint operation strategy of the multi-type joint energy storage system. The application belongs to the field of energy storage strategy optimization. The application can provide an energy storage strategy with optimal energy storage efficiency for the multi-type energy storage system.

Description

Technical Field

[0001] This invention relates to the field of energy storage strategy optimization, and in particular to a collaborative optimization control method, device, equipment, and medium based on multiple types of energy storage systems. Background Technology

[0002] Electrical energy storage refers to the energy storage method that converts electrical energy into other forms of energy and stores them, then converts them back into electrical energy when needed. Gas energy storage refers to the energy storage method that uses excess electrical energy to electrolyze water to produce hydrogen, then stores the hydrogen, and converts the hydrogen back into electrical energy through fuel cells or other means when needed. Thermal energy storage refers to the energy storage method that stores heat or cold through a medium and releases it for heating, cooling or power generation when needed. In the fields of renewable energy integration, microgrids and distributed energy systems, industrial applications and building energy management, the three energy storage methods can usually be used simultaneously.

[0003] While electric energy storage, gas energy storage, and thermal energy storage can be applied simultaneously in fields such as renewable energy integration, microgrids and distributed energy systems, industrial applications, and building energy management, each type of energy storage mostly operates independently, resulting in low interaction and inability to achieve maximum energy storage capacity, leading to low energy storage efficiency. Therefore, this invention provides a collaborative optimization control method based on multiple types of energy storage systems. Summary of the Invention

[0004] This invention solves the technical problem of low energy storage efficiency in existing multi-type energy storage systems by providing a collaborative optimization control method, device, equipment, and medium based on multi-type energy storage systems, and achieves the technical effect of providing energy storage strategies with higher energy storage efficiency for multi-type energy storage systems.

[0005] In a first aspect, the present invention provides a collaborative optimization control method based on multiple types of energy storage systems, including: S11, determine the preset maximum energy storage capacity of the multi-type combined energy storage system and determine the maximum externally accessible energy storage capacity, wherein the multi-type combined energy storage system includes an electric energy storage system, a gas energy storage system and a thermal energy storage system; S12. Based on the maximum externally accessible energy storage capacity, several external access schemes are determined, where each external access scheme corresponds to an external energy storage capacity to be accessed, and each external access scheme is different from the others. S13. Based on the preset maximum energy storage capacity of the multi-type combined energy storage system, construct several current energy storage schemes for the multi-type combined energy storage system. Each current energy storage scheme includes an energy storage capacity of an electric energy storage system, an energy storage capacity of a gas energy storage system, and an energy storage capacity of a thermal energy storage system. S14, for each currently existing energy storage solution, including S141-S143: S141, Match the current energy storage scheme with several external access schemes, and based on the energy storage capacity of the current energy storage scheme, filter the several external access schemes to obtain several external access schemes to be simulated. S142, Under the current energy storage scheme of the multi-type joint energy storage system, several external access schemes to be simulated are used to simulate energy input to the multi-type joint energy storage system, and the energy storage duration and energy storage speed within the preset start time are obtained for each external access scheme to be simulated. S143, Based on the energy storage duration and the energy storage rate within the preset initial duration, or only the energy storage rate within the preset initial duration, determine the optimal external access scheme for the multi-type combined energy storage system under the current energy storage scheme. S15, combine the optimal external access schemes under each current energy storage scheme to obtain the joint operation strategy of multi-type joint energy storage system.

[0006] Furthermore, based on the energy storage duration and the energy storage rate within the preset initial duration, the optimal external access scheme for the multi-type combined energy storage system under the current energy storage scheme is determined, including: Based on the energy storage duration corresponding to each external access scheme to be simulated, sort the external access schemes to be simulated in ascending order. In the sorting process, the external access schemes to be simulated that are ranked before the preset position are retained. Among the existing external access schemes to be simulated, the one with the fastest energy storage speed is selected as the optimal external access scheme under the current energy storage scheme.

[0007] Furthermore, based on the energy storage duration and the energy storage rate within the preset initial duration, the optimal external access scheme for the multi-type combined energy storage system under the current energy storage scheme is determined, which also includes: The scheme evaluation index of each simulated external access scheme is determined based on the energy storage duration and the energy storage rate within the preset starting duration. The external access scheme with the highest scheme evaluation index is taken as the optimal external access scheme under the current energy storage scheme. The scheme evaluation index includes:

[0008] in, For the first The evaluation index of each external access scheme to be simulated. To simulate the maximum energy storage duration in the external access scheme, For the first The energy storage duration of each external access scheme to be simulated To simulate the maximum energy storage speed in the external access scheme, For the first The energy storage speed of the external access scheme to be simulated and All are weights, and and The sum is 1.

[0009] Furthermore, based on the energy storage rate within a preset initial duration, the optimal external access scheme for the multi-type combined energy storage system under the current energy storage scheme is determined, including: The external access scheme with the fastest energy storage speed within the preset start time period is taken as the optimal external access scheme under the current energy storage scheme.

[0010] Furthermore, based on the existing energy storage capacity in current energy storage schemes, several external access schemes are screened to obtain several external access schemes to be simulated, including: Based on the existing energy storage capacity of the electric energy storage system, the existing energy storage capacity of the gas energy storage system, and the existing energy storage capacity of the thermal energy storage system in the current energy storage scheme, determine the sum of the existing energy storage capacity of the current energy storage scheme. The available energy storage capacity of the current energy storage scheme is determined based on the sum of the preset maximum energy storage capacity and the energy storage capacity of the current energy storage scheme. Using the product of the current energy storage capacity and the first preset coefficient as the upper limit, and the product of the energy storage capacity and the second preset coefficient as the lower limit, external access schemes other than the upper and lower limits are eliminated from several external access schemes, resulting in several external access schemes to be simulated. The preset coefficients are all less than 1, and the first preset coefficient is greater than the second preset coefficient.

[0011] Furthermore, determine the maximum externally accessible energy storage capacity, including: Based on the preset maximum energy storage capacity of the multi-type combined energy storage system and historical experience coefficients, the maximum externally accessible energy storage capacity is determined, including:

[0012] in, This is a historical experience coefficient, which is greater than 0 and less than 1. The maximum externally accessible energy storage capacity. This is the preset maximum energy storage capacity.

[0013] Furthermore, if current energy storage solutions continue to change, this also includes: Based on the frequency of energy storage capacity changes in existing energy storage solutions, determine the frequency at which the optimal external access solution will be determined, including:

[0014] in, The frequency for determining the optimal external access scheme is measured in seconds per attempt, and Round up. To determine the frequency of the optimal external access scheme for preset execution, To preset the frequency of energy storage capacity changes, This represents the frequency of energy storage capacity changes for current energy storage solutions, expressed in kJ / second.

[0015] Secondly, the present invention provides a collaborative optimization control device based on multiple types of energy storage systems, comprising: The energy storage system module is used to execute S11, including: determining the preset maximum energy storage capacity of the multi-type combined energy storage system and determining the maximum externally accessible energy storage capacity, wherein the multi-type combined energy storage system includes an electric energy storage system, a gas energy storage system and a thermal energy storage system; The access scheme module is used to execute S12, including: determining several external access schemes based on the maximum externally accessible energy storage capacity, wherein each external access scheme corresponds to an external energy storage capacity to be accessed, and each external access scheme is different from the others. The existing energy storage scheme module is used to execute S13, including: constructing several current existing energy storage schemes for the multi-type joint energy storage system based on the preset maximum energy storage capacity of the multi-type joint energy storage system, wherein each current existing energy storage scheme includes an existing energy storage capacity of the electric energy storage system, an existing energy storage capacity of the gas energy storage system, and an existing energy storage capacity of the thermal energy storage system. The optimal access scheme module is used to execute S14, including: for each currently existing energy storage scheme, including S141-S143: S141, Match the current energy storage scheme with several external access schemes, and filter the external access schemes according to the energy storage capacity of the current energy storage scheme to obtain several external access schemes to be simulated; S142, Under the current energy storage scheme of the multi-type joint energy storage system, simulate energy storage input to the multi-type joint energy storage system with several external access schemes to be simulated respectively, and obtain the energy storage duration and energy storage speed within the preset start duration for each external access scheme to be simulated; S143, Determine the optimal external access scheme of the multi-type joint energy storage system under the current energy storage scheme based on the energy storage duration and the energy storage speed within the preset start duration, or only the energy storage speed within the preset start duration. The joint operation module is used to execute S15, including: aggregating the optimal external access schemes under each current energy storage scheme to obtain the joint operation strategy of multiple types of joint energy storage systems.

[0016] Thirdly, the present invention provides an electronic device, comprising: processor; Memory used to store processor-executable instructions; The processor is configured to execute a collaborative optimization control method as provided in the first aspect.

[0017] Fourthly, the present invention provides a non-transitory computer-readable storage medium, wherein when the instructions in the non-transitory computer-readable storage medium are executed by a processor of an electronic device, the electronic device is able to execute the collaborative optimization control method based on a multi-type energy storage system as provided in the first aspect.

[0018] One or more technical solutions provided in this invention have at least the following technical effects or advantages: This invention provides a collaborative optimization control method for multi-type combined energy storage systems (electric, gas, and thermal), exhibiting significant advantages in systemicity, adaptability, and intelligence. Firstly, by clearly defining the system's preset maximum energy storage capacity and externally accessible capacity, this invention establishes a safety boundary for energy storage scheduling, enhancing the stability and security of system operation. Secondly, the scheme constructs a matching mechanism between various current energy storage states and external access schemes, enabling dynamic screening and simulation evaluation, thereby strengthening the system's adaptability to complex operating environments.

[0019] At the optimization decision-making level, this invention comprehensively considers energy storage duration and initial energy storage speed, supporting multi-dimensional evaluation and optimal solution selection. It is particularly suitable for thermal energy storage systems with dynamic characteristics such as preheating delays, improving overall energy storage efficiency and responsiveness. This invention aggregates the optimal access schemes under various energy storage states to form a joint operation strategy library for the system, providing flexible and intelligent decision support for actual operation.

[0020] The methods 1 and 2 provided by this invention do not directly eliminate solutions with excellent performance in the later stages due to slow initial speeds. They better align with the actual operating characteristics of thermal energy storage systems. By allocating weights, the focus can be on energy storage duration during the preheating phase, tolerating lower initial speeds; while in the stabilization phase, the focus shifts to energy storage speed, improving overall efficiency. Methods 1 and 2 not only more accurately reflect the dynamic energy storage process of thermal energy storage systems but also enhance the intelligence level of energy storage scheduling and the overall efficiency of system operation through quantitative evaluation and dynamic weighting. Attached Figure Description

[0021] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0022] Figure 1 A flowchart illustrating the collaborative optimization control method based on multiple types of energy storage systems provided by this invention; Figure 2 This is a schematic diagram of the structure of the collaborative optimization control device based on multiple types of energy storage systems provided by the present invention. Detailed Implementation

[0023] The embodiments of the present invention provide a collaborative optimization control method based on multiple types of energy storage systems, thereby solving the technical problem of low energy storage efficiency in existing multi-type energy storage systems.

[0024] The technical solution of this invention is to solve the above-mentioned technical problems, and the overall idea is as follows: The collaborative optimization control method based on multi-type energy storage systems includes: S11, determining the preset maximum energy storage capacity of the multi-type combined energy storage system and the maximum externally accessible energy storage capacity, wherein the multi-type combined energy storage system includes an electric energy storage system, a gas energy storage system, and a thermal energy storage system; S12, determining several external access schemes based on the maximum externally accessible energy storage capacity, wherein each external access scheme corresponds to an external energy storage capacity to be accessed, and each external access scheme is different from the others; S13, constructing several currently stored energy storage schemes for the multi-type combined energy storage system based on the preset maximum energy storage capacity, wherein each currently stored energy storage scheme includes one stored energy capacity of the electric energy storage system, one stored energy capacity of the gas energy storage system, and one stored energy capacity of the thermal energy storage system; S14, for each currently stored energy storage scheme, including S141-S142... 143: S141, Match the current energy storage scheme with several external access schemes, and filter the external access schemes according to the energy storage capacity of the current energy storage scheme to obtain several external access schemes to be simulated; S142, Under the current energy storage scheme of the multi-type joint energy storage system, simulate energy storage input to the multi-type joint energy storage system with several external access schemes to be simulated, and obtain the energy storage duration and energy storage speed within the preset start duration for each external access scheme to be simulated; S143, Determine the optimal external access scheme of the multi-type joint energy storage system under the current energy storage scheme based on the energy storage duration and the energy storage speed within the preset start duration, or only the energy storage speed within the preset start duration; S15, Set together the optimal external access schemes under each current energy storage scheme to obtain the joint operation strategy of the multi-type joint energy storage system.

[0025] To better understand the above technical solutions, the following will provide a detailed explanation of the technical solutions in conjunction with the accompanying drawings and specific implementation methods.

[0026] First, it should be clarified that the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article generally indicates that the preceding and following related objects have an "or" relationship.

[0027] It should be noted that this invention discusses energy storage efficiency from the storage side. The various types of energy storage systems in this invention include electrical energy storage systems, gas energy storage systems, and thermal energy storage systems. The number of each system, the capacity of each system, and the input allocation can all be set and determined by the user (these parameters do not change during simulation input).

[0028] This invention provides, for example Figure 1 The collaborative optimization control method based on multiple types of energy storage systems shown includes: S11, determine the preset maximum energy storage capacity of the multi-type combined energy storage system and determine the maximum externally accessible energy storage capacity, wherein the multi-type combined energy storage system includes an electric energy storage system, a gas energy storage system and a thermal energy storage system.

[0029] Electric energy storage systems can include lithium batteries and supercapacitors; gas energy storage systems can include compressed air energy storage; thermal energy storage systems can include molten salt thermal storage, etc. The maximum energy storage capacity of a multi-type combined energy storage system is equal to the sum of the maximum energy storage capacities of the electric energy storage system, the gas energy storage system, and the thermal energy storage system (that is, the limit of the total energy storage capacity of the electric energy storage system, the gas energy storage system, and the thermal energy storage system).

[0030] Determine the maximum externally accessible energy storage capacity, including: Based on the preset maximum energy storage capacity of the multi-type combined energy storage system and historical experience coefficients, the maximum externally accessible energy storage capacity is determined, including:

[0031] in, This is a historical experience coefficient, which is greater than 0 and less than 1. The maximum externally accessible energy storage capacity. This is the preset maximum energy storage capacity.

[0032] The maximum externally accessible energy storage capacity refers to the maximum value of electrical energy that can be input into the multi-type combined energy storage system from the outside. The maximum externally accessible energy storage capacity is less than or equal to the preset maximum energy storage capacity of the multi-type combined energy storage system.

[0033] It is understandable that multi-type combined energy storage systems are prone to failure when the energy storage is fully loaded. Therefore, to ensure safety, the maximum external energy storage capacity can be determined based on the preset maximum energy storage capacity of the multi-type combined energy storage system and historical experience coefficients. The historical experience coefficients can usually be taken as 0.9 or 0.95.

[0034] S12. Based on the maximum externally accessible energy storage capacity, several external access schemes are determined, where each external access scheme corresponds to an external energy storage capacity to be accessed, and each external access scheme is different from the others.

[0035] Specifically, energy storage capacity below the maximum externally accessible energy storage capacity can be divided according to preset rules to obtain several external access schemes. The preset rules can be geometric sequences, arithmetic sequences, etc.

[0036] For example, if the maximum externally accessible energy storage capacity is 100,000 KJ, and it is divided into arithmetic progressions of 100 KJ, then the resulting external access schemes are 100,000 KJ, 99,900 KJ, 99,800 KJ, 99,700 KJ, ..., 100 KJ, resulting in a total of 1,000 external access schemes. Preset rules can also be set manually.

[0037] S13. Based on the preset maximum energy storage capacity of the multi-type combined energy storage system, construct several currently stored energy storage schemes for the multi-type combined energy storage system. Each currently stored energy storage scheme includes one stored energy capacity of the electric energy storage system, one stored energy capacity of the gas energy storage system, and one stored energy capacity of the thermal energy storage system.

[0038] Current energy storage schemes refer to energy storage already stored in multiple types of combined energy storage systems, including electrical energy storage systems, gas energy storage systems, and thermal energy storage systems (simulated energy storage). Each current energy storage scheme has at least one different stored capacity in one of the electrical, gas, or thermal energy storage systems.

[0039] For example, the current energy storage scheme A has the following energy storage capacity: electric energy storage system has an energy storage capacity of 100KJ; gas energy storage system has an energy storage capacity of 90KJ; and thermal energy storage system has an energy storage capacity of 0.

[0040] The current energy storage scheme B has the following energy storage capacities: electric energy storage system with a capacity of 100KJ; gas energy storage system with a capacity of 90KJ; and thermal energy storage system with a capacity of 10KJ.

[0041] The current energy storage scheme A and the current energy storage scheme B are different current energy storage schemes.

[0042] It should be noted that the energy stored in electrical energy storage systems, gas energy storage systems, and thermal energy storage systems cannot exceed their respective maximum energy storage capacity.

[0043] S14, for each currently existing energy storage solution, including S141-S143: S141, the current energy storage scheme is matched with several external access schemes, and the external access schemes are screened according to the energy storage capacity of the current energy storage schemes to obtain several external access schemes to be simulated.

[0044] Specifically, this includes: determining the sum of the stored energy capacities of the current energy storage schemes based on the stored energy capacities of the electric energy storage system, the gas energy storage system, and the thermal energy storage system in the current energy storage schemes; determining the available energy storage capacity of the current energy storage schemes based on the preset maximum energy storage capacity and the sum of the stored energy capacities of the current energy storage schemes; using the product of the available energy storage capacity of the current energy storage schemes and a first preset coefficient as the upper limit, and the product of the available energy storage capacity and a second preset coefficient as the lower limit, eliminating external access schemes other than the upper and lower limits from several external access schemes, and obtaining several external access schemes to be simulated, where the preset coefficients are all less than 1, and the first preset coefficient is greater than the second preset coefficient.

[0045] The sum of the stored energy capacity of the current energy storage schemes can be obtained by adding the stored energy capacity of the electric energy storage system, the stored energy capacity of the gas energy storage system, and the stored energy capacity of the thermal energy storage system.

[0046] The maximum energy storage capacity can be obtained by subtracting the sum of the energy storage capacities of the current energy storage schemes from the preset maximum energy storage capacity.

[0047] In addition, in order to ensure energy storage, a coefficient can also be set after determining the upper limit.

[0048] For example, when determining the upper limit, the preset coefficient is 0.95 or 0.9; when determining the lower limit, the preset coefficient is 0.8 or 0.85. It is understandable that the preset coefficient when determining the lower limit should be less than the preset coefficient when determining the upper limit.

[0049] Understandably, the energy storage rate of electrical, gas, and thermal energy storage systems does not increase linearly. This is especially true for thermal energy storage systems, where the energy storage rate may be faster than the initial storage rate due to the heat-up period.

[0050] Therefore, the purpose of setting upper and lower limits is to avoid resource waste due to excessively low energy storage and to avoid overloading of the energy storage system due to excessively high energy storage. Furthermore, based on the range of the upper and lower limits, the external energy storage with the highest energy storage efficiency can be accurately determined.

[0051] For example: The current energy storage scheme B has the following energy storage capacity: electric energy storage system has an energy storage capacity of 100KJ; gas energy storage system has an energy storage capacity of 90KJ; and thermal energy storage system has an energy storage capacity of 10KJ.

[0052] If the maximum externally accessible energy storage capacity is 100,000 KJ, then the energy storage capacity of the current energy storage scheme B is 100,000 KJ - 200 KJ = 99,800 KJ.

[0053] With the first coefficient being 0.9 and the second coefficient being 0.8, the upper limit is 89820 and the lower limit is 79840. Rounding both down, the range between the upper and lower limits is 79800-89800. The simulated external access schemes are 79800, 79900, ..., 89800.

[0054] S142, under the current energy storage scheme of the multi-type joint energy storage system, several external access schemes to be simulated are used to simulate energy input to the multi-type joint energy storage system, and the energy storage duration and energy storage speed within the preset start time are obtained for each external access scheme to be simulated.

[0055] This invention provides several simulation methods, including: Simulation based on simulation software (MATLAB / Simulink): The physical model of the energy storage system can be created using Simulink, and external access schemes and their selection logic can be defined using MATLAB scripts.

[0056] HOMER Energy Simulation: Input detailed information about the energy storage system (such as capacity, efficiency, etc.), set different operating conditions and external access schemes, and then run the simulation to compare the effects of various schemes.

[0057] EnergyPLAN simulations define the supply and demand of electricity, heat, and fuel markets, simulate the response of energy storage systems, and assess the impact of different access schemes.

[0058] Custom simulation based on programming languages ​​(Python): Use Pandas to process time series data (such as the charging status of various energy storage systems), use NumPy for numerical calculations, and combine Pyomo or other optimization libraries to find the optimal external access solution.

[0059] Simulations can be conducted using Google Cloud Platform (GCP) or Amazon Web Services (AWS). When simulating, the characteristics of each energy storage system need to be considered, such as the heatsink time of thermal energy storage systems.

[0060] S143, based on the energy storage duration and the energy storage rate within the preset initial duration, or only the energy storage rate within the preset initial duration, determine the optimal external access scheme for the multi-type combined energy storage system under the current energy storage scheme.

[0061] Method 1 Based on the energy storage duration and the energy storage rate within the preset initial duration, determine the optimal external access scheme for the multi-type combined energy storage system under the current energy storage scheme, including: Based on the energy storage duration corresponding to each external access scheme to be simulated, the external access schemes to be simulated are sorted in ascending order (from smallest to largest). In the sorting process, the external access schemes to be simulated that are ranked before the preset position are retained. Among the existing external access schemes to be simulated, the external access scheme with the fastest energy storage speed within the preset start time is selected as the optimal external access scheme under the current energy storage scheme.

[0062] The preset position can be determined according to the actual situation, such as the first 10, 15, 20, etc.

[0063] The energy storage rate within the preset start time refers to the average energy storage rate over a period of time from the start of external energy input. The preset start time can be set according to actual conditions, such as 0.5h, 1h, 2h, etc.

[0064] Method 1 employs a two-stage strategy of sorting by energy storage duration and filtering by energy storage speed to determine the optimal external access scheme. Method 1 sorts the schemes in ascending order based on their energy storage duration, prioritizing those with faster response times; then, it selects the scheme with the fastest energy storage speed from the remaining schemes as the optimal one. Method 1 balances the speed and capacity of energy storage response, making it suitable for real-time scheduling scenarios requiring rapid decision-making.

[0065] Method 2 Based on the energy storage duration and the energy storage rate within the preset initial duration, the optimal external access scheme for the multi-type combined energy storage system under the current energy storage scheme is determined, which also includes: The scheme evaluation index of each simulated external access scheme is determined based on the energy storage duration and the energy storage rate within the preset starting duration. The external access scheme with the highest scheme evaluation index is taken as the optimal external access scheme under the current energy storage scheme. The scheme evaluation index includes:

[0066] in, For the first The evaluation index of each external access scheme to be simulated. To simulate the maximum energy storage duration in the external access scheme, For the first The energy storage duration of each external access scheme to be simulated To simulate the maximum energy storage speed in the external access scheme, For the first The energy storage speed of the external access scheme to be simulated and All are weights, and and The sum is 1.

[0067] in, as well as You can also replace it with a standard value or a preset value.

[0068] Method 2 constructs a scheme evaluation index to quantitatively assess each external access scheme to be simulated, thereby selecting the optimal scheme. Method 2 can identify the scheme that achieves the best balance between energy storage speed and energy storage duration. At the same time, the adjustability of the weight parameters makes it highly adaptable, and the strategy can be flexibly adjusted according to different operational objectives (such as prioritizing response speed or prioritizing energy storage capacity).

[0069] Method 1 and Method 2 take into account the characteristics of thermal energy storage systems. Because thermal energy storage systems have a slower initial energy storage rate followed by a faster rate, methods 1 and 2 do not directly eliminate solutions with superior later performance due to the slower initial rate. This better reflects the actual operating characteristics of thermal energy storage systems. By allocating weights, the focus can be on energy storage duration during the preheating phase, tolerating a lower initial rate; while during the stabilization phase, the focus can be on energy storage rate, improving overall efficiency. Methods 1 and 2 not only more accurately reflect the dynamic energy storage process of thermal energy storage systems but also improve the intelligence level of energy storage scheduling and the overall efficiency of system operation through quantitative evaluation and dynamic weighting.

[0070] Method 3 Based on the energy storage rate within a preset initial duration, determine the optimal external access scheme for the multi-type combined energy storage system under the current energy storage scheme, including: The external access scheme with the fastest energy storage speed within the preset start time period is taken as the optimal external access scheme under the current energy storage scheme.

[0071] In situations where energy storage needs to be utilized urgently, the external access scheme with the fastest energy storage speed within a preset initial duration is selected as the optimal external access scheme under the current energy storage scheme.

[0072] S15, combine the optimal external access schemes under each current energy storage scheme to obtain the joint operation strategy of multi-type joint energy storage system.

[0073] After obtaining the optimal external access scheme for each current energy storage scheme, the optimal external access schemes for each current energy storage scheme can be aggregated to obtain the joint operation strategy of multiple types of joint energy storage systems.

[0074] When there is a demand for energy storage, the external access scheme with the highest energy storage efficiency can be accurately selected based on the current energy storage status of various types of energy storage systems.

[0075] In the foregoing, this invention discussed using a fixed external access point for multiple types of energy storage systems. In addition to the above-described procedures, if the current energy storage scheme continues to change, it also includes: Based on the frequency of energy storage capacity changes in existing energy storage solutions, determine the frequency at which the optimal external access solution will be determined, including:

[0076] in, The frequency for determining the optimal external access scheme is measured in seconds per attempt, and Round up. To determine the frequency of the optimal external access scheme for preset execution, To preset the frequency of energy storage capacity changes, This represents the frequency of energy storage capacity changes for current energy storage solutions, expressed in kJ / second.

[0077] Multi-type combined energy storage systems may face different input and output fluctuations (such as wind power and photovoltaic fluctuations) at different times. Therefore, relying on fixed external access may lead to low efficiency of multi-type energy storage systems.

[0078] The above methods enable dynamic response to changes in system state. When the energy storage system is affected by fluctuations in external energy input, the frequency of energy storage capacity changes accordingly. At this time, by increasing the scheduling frequency, the system can more quickly identify the optimal external access scheme, thereby improving overall response speed and control accuracy. These methods effectively optimize resource utilization efficiency. During periods of slow energy storage capacity change, the system can automatically reduce the scheduling frequency, minimizing unnecessary calculations and control actions, saving system resources and energy consumption, and avoiding performance losses caused by over-scheduling. These methods respond to the characteristics of different energy storage technologies. Thermal energy storage has a preheating delay, while electrical energy storage responds rapidly. These methods can intelligently adjust the scheduling rhythm based on the coordinated operation status of various energy storage subsystems, improving the overall system's collaborative optimization capabilities.

[0079] In summary, this invention provides a collaborative optimization control method for multi-type combined energy storage systems (electric, gas, and thermal), exhibiting significant advantages in systemicity, adaptability, and intelligence. By clearly defining the system's preset maximum energy storage capacity and externally accessible capacity, this invention establishes a safety boundary for energy storage scheduling, thereby enhancing the stability and security of system operation. Furthermore, the scheme constructs a matching mechanism between various current energy storage states and external access schemes, enabling dynamic screening and simulation evaluation, thus strengthening the system's adaptability to complex operating environments.

[0080] At the optimization decision-making level, this invention comprehensively considers energy storage duration and initial energy storage speed, supporting multi-dimensional evaluation and optimal solution selection. It is particularly suitable for thermal energy storage systems with dynamic characteristics such as preheating delays, improving overall energy storage efficiency and responsiveness. This invention aggregates the optimal access schemes under various energy storage states to form a joint operation strategy library for the system, providing flexible and intelligent decision support for actual operation.

[0081] The methods 1 and 2 provided by this invention do not directly eliminate solutions with excellent performance in the later stages due to slow initial speeds. They better align with the actual operating characteristics of thermal energy storage systems. By allocating weights, the focus can be on energy storage duration during the preheating phase, tolerating lower initial speeds; while in the stabilization phase, the focus shifts to energy storage speed, improving overall efficiency. Methods 1 and 2 not only more accurately reflect the dynamic energy storage process of thermal energy storage systems but also enhance the intelligence level of energy storage scheduling and the overall efficiency of system operation through quantitative evaluation and dynamic weighting.

[0082] Based on the same inventive concept, the present invention provides, as follows: Figure 2 The collaborative optimization control device based on multiple types of energy storage systems shown includes: The energy storage system module 21 is used to execute S11, including: determining the preset maximum energy storage capacity of the multi-type combined energy storage system and determining the maximum externally accessible energy storage capacity, wherein the multi-type combined energy storage system includes an electric energy storage system, a gas energy storage system and a thermal energy storage system; The access scheme module 22 is used to execute S12, including: determining several external access schemes based on the maximum externally accessible energy storage capacity, wherein each external access scheme corresponds to an external energy storage capacity to be accessed, and each external access scheme is different from the others. The existing energy storage scheme module 23 is used to execute S13, including: constructing several current existing energy storage schemes for the multi-type joint energy storage system according to the preset maximum energy storage capacity of the multi-type joint energy storage system, wherein each current existing energy storage scheme includes an existing energy storage capacity of the electric energy storage system, an existing energy storage capacity of the gas energy storage system and an existing energy storage capacity of the thermal energy storage system. The optimal access scheme module 24 is used to execute S14, including: for each currently existing energy storage scheme, including S141-S143: S141, Match the current energy storage scheme with several external access schemes, and filter the external access schemes according to the energy storage capacity of the current energy storage scheme to obtain several external access schemes to be simulated; S142, Under the current energy storage scheme of the multi-type joint energy storage system, simulate energy storage input to the multi-type joint energy storage system with several external access schemes to be simulated respectively, and obtain the energy storage duration and energy storage speed within the preset start duration for each external access scheme to be simulated; S143, Determine the optimal external access scheme of the multi-type joint energy storage system under the current energy storage scheme based on the energy storage duration and the energy storage speed within the preset start duration, or only the energy storage speed within the preset start duration. The joint operation module 25 is used to execute S15, including: aggregating the optimal external access schemes under each current energy storage scheme to obtain the joint operation strategy of multiple types of joint energy storage systems.

[0083] Based on the same inventive concept, the present invention also provides an electronic device, comprising: processor; Memory used to store processor-executable instructions; The processor is configured to execute the collaborative optimization control method based on multiple types of energy storage systems, as described above.

[0084] Based on the same inventive concept, the present invention also provides a non-transitory computer-readable storage medium, which, when the instructions in the storage medium are executed by the processor of an electronic device, enables the electronic device to execute the collaborative optimization control method based on multiple types of energy storage systems as described above.

[0085] Since the electronic device described in this embodiment is an electronic device used to implement the information processing method in the embodiments of the present invention, those skilled in the art can understand the specific implementation methods and various variations of the electronic device in this embodiment based on the information processing method described in the embodiments of the present invention. Therefore, how the electronic device implements the method in the embodiments of the present invention will not be described in detail here. Any electronic device used by those skilled in the art to implement the information processing method in the embodiments of the present invention falls within the scope of protection of the present invention.

[0086] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0087] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0088] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0089] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1The steps of the function specified in one or more boxes.

[0090] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the invention.

[0091] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A collaborative optimization control method based on multiple types of energy storage systems, characterized in that, include: S11, determine the preset maximum energy storage capacity of the multi-type combined energy storage system and determine the maximum externally accessible energy storage capacity, wherein the multi-type combined energy storage system includes an electric energy storage system, a gas energy storage system and a thermal energy storage system; S12. Based on the maximum externally accessible energy storage capacity, several external access schemes are determined, where each external access scheme corresponds to an external energy storage capacity to be accessed, and each external access scheme is different from the others. S13. Based on the preset maximum energy storage capacity of the multi-type combined energy storage system, construct several currently stored energy schemes of the multi-type combined energy storage system, wherein each currently stored energy scheme includes one stored energy capacity of the electric energy storage system, one stored energy capacity of the gas energy storage system, and one stored energy capacity of the thermal energy storage system. S14, for each currently existing energy storage solution, including S141-S143: S141, Match the current energy storage scheme with several external access schemes, and based on the energy storage capacity of the current energy storage scheme, filter the several external access schemes to obtain several external access schemes to be simulated. S142, under the current energy storage scheme of the multi-type combined energy storage system, several external access schemes to be simulated are used to simulate energy storage input to the multi-type combined energy storage system respectively, and the energy storage duration and energy storage speed within the preset start time are obtained for each external access scheme to be simulated. S143, Based on the energy storage duration and the energy storage rate within the preset initial duration, or only the energy storage rate within the preset initial duration, determine the optimal external access scheme for the multi-type combined energy storage system under the current energy storage scheme. S15, combine the optimal external access schemes under each current energy storage scheme to obtain the joint operation strategy of the multi-type joint energy storage system.

2. The collaborative optimization control method based on multiple types of energy storage systems as described in claim 1, characterized in that, Based on the energy storage duration and the energy storage rate within a preset initial duration, the optimal external access scheme for the multi-type combined energy storage system under the current energy storage scheme is determined, including: Based on the energy storage duration corresponding to each external access scheme to be simulated, sort the external access schemes to be simulated in ascending order. In the sorting process, the external access schemes to be simulated that are ranked before the preset position are retained. Among the existing external access schemes to be simulated, the one with the fastest energy storage speed is selected as the optimal external access scheme under the current energy storage scheme.

3. The collaborative optimization control method based on multiple types of energy storage systems as described in claim 1, characterized in that, Determining the optimal external access scheme for the multi-type combined energy storage system under the current energy storage scheme, based on the energy storage duration and the energy storage rate within the preset initial duration, further includes: The scheme evaluation index of each simulated external access scheme is determined based on the energy storage duration and the energy storage rate within the preset starting duration. The external access scheme with the highest scheme evaluation index is taken as the optimal external access scheme under the current energy storage scheme. The scheme evaluation index includes: in, For the first The evaluation index of each external access scheme to be simulated. To simulate the maximum energy storage duration in the external access scheme, For the first The energy storage duration of each external access scheme to be simulated To simulate the maximum energy storage speed in the external access scheme, For the first The energy storage speed of the external access scheme to be simulated and All are weights, and and The sum is 1.

4. The collaborative optimization control method based on multiple types of energy storage systems as described in claim 1, characterized in that, Based on the energy storage rate within a preset initial duration, determine the optimal external access scheme for the multi-type combined energy storage system under the current energy storage scheme, including: The external access scheme with the fastest energy storage speed within the preset start time period is taken as the optimal external access scheme under the current energy storage scheme.

5. The collaborative optimization control method based on multiple types of energy storage systems as described in claim 1, characterized in that, Based on the existing energy storage capacity in current energy storage schemes, several external access schemes are screened to obtain several external access schemes to be simulated, including: Based on the existing energy storage capacity of the electric energy storage system, the existing energy storage capacity of the gas energy storage system, and the existing energy storage capacity of the thermal energy storage system in the current energy storage scheme, determine the sum of the existing energy storage capacity of the current energy storage scheme. The available energy storage capacity of the current energy storage scheme is determined based on the sum of the preset maximum energy storage capacity and the energy storage capacity of the current energy storage scheme. Using the product of the current energy storage capacity and the first preset coefficient as the upper limit, and the product of the energy storage capacity and the second preset coefficient as the lower limit, external access schemes other than the upper and lower limits are eliminated from several external access schemes, resulting in several external access schemes to be simulated. The preset coefficients are all less than 1, and the first preset coefficient is greater than the second preset coefficient.

6. The collaborative optimization control method based on multiple types of energy storage systems as described in claim 1, characterized in that, Determine the maximum externally accessible energy storage capacity, including: Based on the preset maximum energy storage capacity of the multi-type combined energy storage system and historical experience coefficients, the maximum externally accessible energy storage capacity is determined, including: in, This is a historical experience coefficient, which is greater than 0 and less than 1. For the maximum externally accessible energy storage capacity, This is the preset maximum energy storage capacity.

7. The collaborative optimization control method based on multiple types of energy storage systems as described in claim 1, characterized in that, If the current energy storage solutions continue to change, they will also include: Based on the frequency of energy storage capacity changes in existing energy storage solutions, determine the frequency at which the optimal external access solution will be determined, including: in, The frequency for determining the optimal external access scheme is measured in seconds per attempt, and Round up. To determine the frequency of the optimal external access scheme for preset execution, To preset the frequency of energy storage capacity changes, This represents the frequency of energy storage capacity changes for current energy storage solutions, expressed in kJ / second.

8. A collaborative optimization control device based on multiple types of energy storage systems, characterized in that, include: The energy storage system module is used to execute S11, including: determining the preset maximum energy storage capacity of the multi-type combined energy storage system and determining the maximum externally accessible energy storage capacity, wherein the multi-type combined energy storage system includes an electric energy storage system, a gas energy storage system and a thermal energy storage system; The access scheme module is used to execute S12, including: determining several external access schemes based on the maximum externally accessible energy storage capacity, wherein each external access scheme corresponds to an external energy storage capacity to be accessed, and each external access scheme is different from the others. The existing energy storage scheme module is used to execute S13, including: constructing several current existing energy storage schemes for the multi-type joint energy storage system according to the preset maximum energy storage capacity of the multi-type joint energy storage system, wherein each current existing energy storage scheme includes an existing energy storage capacity of an electric energy storage system, an existing energy storage capacity of a gas energy storage system, and an existing energy storage capacity of a thermal energy storage system. The optimal access scheme module is used to execute S14, including: for each currently existing energy storage scheme, including S141-S143: S141, Match the current energy storage scheme with several external access schemes, and filter the external access schemes according to the energy storage capacity of the current energy storage scheme to obtain several external access schemes to be simulated; S142, Under the current energy storage scheme of the multi-type joint energy storage system, simulate energy storage input to the multi-type joint energy storage system with several external access schemes to be simulated respectively, and obtain the energy storage duration and energy storage speed within a preset start duration for each external access scheme to be simulated; S143, Determine the optimal external access scheme of the multi-type joint energy storage system under the current energy storage scheme based on the energy storage duration and the energy storage speed within the preset start duration, or only the energy storage speed within the preset start duration. The joint operation module is used to execute S15, including: aggregating the optimal external access schemes under each current energy storage scheme to obtain the joint operation strategy of the multi-type joint energy storage system.

9. An electronic device, characterized in that, include: processor; Memory used to store the processor's executable instructions; The processor is configured to execute the collaborative optimization control method based on multiple types of energy storage systems as described in any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium, characterized in that, When the instructions in the non-transitory computer-readable storage medium are executed by the processor of the electronic device, the electronic device is able to perform the collaborative optimization control method based on a multi-type energy storage system as described in any one of claims 1 to 7.

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