Distribution method, device and equipment for operating power optimization of compressors in compressed air energy storage system

Abstract

The invention relates to a distribution method, device and equipment for operation power optimization of compressors in a compressed air energy storage system. The method comprises the steps that the number and rated power of the compressors of the compressed air energy storage system and the total power of an energy storage power dispatching instruction are obtained; determining an operation scheme according to the total power and the rated power of each motor, obtaining a power efficiency function of each compressor, and calculating according to the operation scheme and the power efficiency function of the corresponding compressor to obtain a starting compressor corresponding to the operation scheme and the distribution power of the starting compressor; and controlling the corresponding starting compressor to operate according to the distribution power. According to the method, an operation scheme is determined through total power and rated power, the distribution power of an optimal actual operation point of a starting compressor is calculated according to the operation scheme, the total power of an energy storage power dispatching instruction and a power efficiency function, and the compressed air energy storage system controls the corresponding starting compressor to operate according to the distribution power. And the total operation efficiency of the compressed air energy storage system is improved.

Description

Technical Field

[0001] The present application relates to the technical field of industrial process control, and particularly relates to a method, device and equipment for optimizing the distribution of the operating power of a compressor in a compressed air energy storage system. Background Art

[0002] Compressed Air Energy Storage (CAES) has low operating costs, low environmental pollution, long service life, and high safety and reliability, and is one of the most promising energy storage technologies at present. Compressed air energy storage can smooth the fluctuations of renewable energy and promote the large-scale application of renewable energy. In a large-scale compressed energy storage system, due to the limitation of the single-motor power of the compression system, multiple motors and centrifugal compressors generally need to be configured, as Figure 7 shown. In a large-scale compressed energy storage system, the power-efficiency of its compressor is not a constant, but a non-linear curve, as Figure 8 shown. Usually, the design point of a centrifugal compressor is the highest efficiency point of the unit, and the unit should operate at the highest efficiency point for most of the time. However, during actual operation, its operating point cannot always remain at the highest efficiency point. With the change of the grid dispatching instruction, the operating point of the centrifugal compressor will also move accordingly.

[0003] In a large-scale compressed energy storage system, the existing energy storage power control is as Figure 9 shown. The energy storage power is generally evenly distributed to each motor, and the motor power is adjusted by adjusting the opening degree of the inlet guide vane of the compressor. This average distribution control technology does not consider the compressor efficiency characteristics and the optimization of the total operating efficiency of the compression system. Summary of the Invention

[0004] The present application provides a method, device and equipment for optimizing the distribution of the operating power of a compressor in a compressed air energy storage system, which is used to solve the technical problem that in a large-scale compressed energy storage system, the existing energy storage power control method adopts the average distribution control technology, which does not consider the compressor efficiency characteristics and the optimization of the total operating efficiency of the compression system, resulting in a low total operating efficiency of the system.

[0005] To achieve the above object, the present application provides the following technical solutions:

[0006] On the one hand, a method for optimizing the distribution of the operating power of a compressor in a compressed air energy storage system is provided, including the following steps:

[0007] Obtain the number of compressors in the compressed air energy storage system, the rated power of each motor, and the total power of the energy storage power scheduling instruction;

[0008] Determine the operation plan according to the total power and the rated power, obtain the power efficiency function of each compressor, and calculate according to the operation plan and the power efficiency function of the corresponding compressor to obtain the starting compressors corresponding to the operation plan and the allocated power of the starting compressors;

[0009] Control the operation of the corresponding starting compressors according to the allocated power.

[0010] Preferably, if the rated power of each motor is the same, determining the operation plan according to the total power and the rated power includes:

[0011] If the total power is not less than the first threshold and not greater than the second threshold, the operation plan is the first plan to start one compressor;

[0012] If the total power is not less than the third threshold and not greater than the fourth threshold, the operation plan is the second plan to start two compressors;

[0013] If the total power is greater than the fourth threshold and not greater than the fifth threshold, the operation plan is the third plan to start two compressors or three compressors;

[0014] If the total power is greater than the fifth threshold and not greater than the sixth threshold, the operation plan is the fourth plan to start at least three compressors.

[0015] Preferably, calculating according to the operation plan and the power efficiency function of the corresponding compressor to obtain the starting compressors corresponding to the operation plan and the allocated power of the starting compressors includes:

[0016] If the operation plan is to start one compressor, calculate according to the total power and the power efficiency function of each compressor to obtain the operating efficiency of each compressor operating at the total power;

[0017] Select the one with the largest value from all the operating efficiencies as the best operating efficiency of this operation plan, and the compressor corresponding to the best operating efficiency is the starting compressor of this operation plan, and the allocated power of the starting compressor is the total power.

[0018] Preferably, calculating according to the operation plan and the power efficiency function of the corresponding compressor to obtain the starting compressors corresponding to the operation plan and the allocated power of the starting compressors includes:

[0019] If the operation plan is to start multiple compressors, combine the multiple compressors according to the number of compressors according to the operation plan to obtain multiple groups of initial execution combinations; and calculate according to the total power and the power efficiency function of each compressor to obtain the operation efficiency of each compressor operating at the total power.

[0020] Construct a function according to the total power, each group of the initial execution combinations, and the operation efficiency of the compressors corresponding to each group of the initial execution combinations to obtain the total efficiency optimal function corresponding to each group of the initial execution combinations.

[0021] Calculate according to the total efficiency optimal function using the particle swarm optimization algorithm to obtain the total operation efficiency corresponding to each group of the initial execution combinations.

[0022] Select the initial execution combination with the largest value from all the total operation efficiencies as the optimal operation condition combination of this operation plan, and obtain the allocated power of the starting compressors corresponding to the optimal operation condition combination from the total operation efficiency with the largest value.

[0023] Wherein, the total efficiency optimal function is used as the fitness function of the particle swarm optimization algorithm.

[0024] Preferably, the allocation method for optimizing the operation power of the compressors in this compressed air energy storage system includes: if the operation plan is the third plan of starting two compressors or three compressors, combine the two compressors and combine the three compressors according to the number of compressors to obtain multiple groups of initial execution combinations composed of two compressors and multiple groups of initial execution combinations composed of three compressors.

[0025] Preferably, the total efficiency optimal function is:

[0026]

[0027] In the formula, is the total operation efficiency, N is the number of compressors started in the operation plan, P grid is the total power of the energy storage power scheduling instruction, P i is the allocated power of the i-th compressor, is the operation efficiency of the i-th compressor.

[0028] On the other hand, an allocation device for optimizing the operation power of the compressors in a compressed air energy storage system is provided, including a data acquisition module, a power allocation optimization module, and an execution module;

[0029] The data acquisition module is used to acquire the number of compressors in the compressed air energy storage system, the rated power of each motor, and the total power of the energy storage power scheduling instruction;

[0030] The power distribution optimization module is used to determine an operation plan according to the total power and the rated power, obtain the power efficiency function of each compressor, and calculate according to the operation plan and the power efficiency function of the corresponding compressor to obtain the starting compressor corresponding to the operation plan and the allocated power of the starting compressor;

[0031] The execution module is used to control the operation of the corresponding compressor according to the allocated power.

[0032] Preferably, the power distribution optimization module includes a scheme determination sub-module. The scheme determination sub-module is used to determine that if the total power is not less than a first threshold and not greater than a second threshold, the operation plan is a first plan to start one compressor; or if the total power is not less than a third threshold and not greater than a fourth threshold, the operation plan is a second plan to start two compressors; or if the total power is greater than the fourth threshold and not greater than a fifth threshold, the operation plan is a third plan to start two or three compressors; or if the total power is greater than the fifth threshold and not greater than a sixth threshold, the operation plan is a fourth plan to start at least three compressors.

[0033] Preferably, the power distribution optimization module includes a power distribution sub-module. The power distribution sub-module is used to calculate the operating efficiency of each compressor operating at the total power according to the operation plan to start one compressor, according to the total power and the power efficiency function of each compressor, and select the one with the largest value from all the operating efficiencies as the best operating efficiency of this operation plan. The compressor corresponding to the best operating efficiency is the starting compressor of this operation plan, and the allocated power of the starting compressor is the total power; or

[0034] The power distribution sub-module is used to start multiple compressors according to the operation plan, combine the multiple compressors according to the operation plan according to the number of compressors to obtain multiple initial execution combinations; and calculate the operating efficiency of each compressor operating at the total power according to the total power and the power efficiency function of each compressor; construct a function according to the total power, each group of the initial execution combinations and the operating efficiency of the compressors corresponding to each group of the initial execution combinations to obtain the total efficiency optimal function corresponding to each group of the initial execution combinations; calculate according to the total efficiency optimal function using the particle swarm algorithm to obtain the total operating efficiency corresponding to each group of the initial execution combinations; select the initial execution combination with the largest value from all the total operating efficiencies as the optimal operating condition combination of this operation plan, and obtain the allocated power of the compressors corresponding to the optimal operating condition combination from the total operating efficiency with the largest value; wherein, the total efficiency optimal function is used as the fitness function of the particle swarm algorithm;

[0035] The total efficiency optimal function is as follows:

[0036]

[0037] In the formula, is the total operating efficiency, N is the number of compressors started in the operation plan, and P grid is the total power of the energy storage power scheduling instruction, and P i is the allocated power of the i-th compressor, is the operating efficiency of the i-th compressor.

[0038] On the other hand, a terminal device is provided, including a processor and a memory;

[0039] The memory is used to store program code and transmit the program code to the processor;

[0040] The processor is used to execute the above-mentioned allocation method for optimizing the operating power of the compressor in the compressed air energy storage system according to the instructions in the program code.

[0041] The allocation method, device and equipment for optimizing the operating power of the compressor in the compressed air energy storage system. The allocation method for optimizing the operating power of the compressor in the compressed air energy storage system includes obtaining the number of compressors in the compressed air energy storage system, the rated power of each motor, and the total power of the energy storage power scheduling instruction; determining the operation plan according to the total power and the rated power of each motor, obtaining the power efficiency function of each compressor, and calculating according to the operation plan and the power efficiency function of the corresponding compressor to obtain the started compressors corresponding to the operation plan and the allocated power of the started compressors; controlling the operation of the corresponding started compressors according to the allocated power.

[0042] It can be seen from the above technical solutions that the present application has the following advantages: The allocation method for optimizing the operating power of the compressor in the compressed air energy storage system determines the operation plan according to the total power and the rated power, calculates the allocated power of the optimal actual operating point of the started compressor according to the operation plan, the total power of the energy storage power scheduling instruction and the power efficiency function, and controls the operation of the corresponding started compressors in the compressed air energy storage system according to the allocated power, so that the operating efficiency of the compressed air energy storage system is the best, and the total operating efficiency of the compressed air energy storage system is improved; it solves the technical problem that in a large-scale compressed energy storage system, the existing energy storage power control method adopts an average distribution control technology, which does not consider the compressor efficiency characteristics and the optimization of the total operating efficiency of the compression system, resulting in a low total operating efficiency of the system.

[0043] The distribution device for optimizing the operating power of the compressor in the compressed air energy storage system realizes determining the operating plan through the total power and the rated power, calculating the allocated power of the optimal actual operating point of the starting compressor according to the operating plan, the total power of the energy storage power scheduling instruction, and the power efficiency function, and controlling the corresponding starting compressor to operate according to the allocated power, so that the operating efficiency of the compressed air energy storage system is the best, and the overall operating efficiency of the compressed air energy storage system is improved. Description of the Drawings

[0044] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0045] Figure 1 It is the flowchart of the steps of the distribution method for optimizing the operating power of the compressor in the compressed air energy storage system described in the embodiments of the present application;

[0046] Figure 2 It is the operation flowchart of the particle swarm optimization algorithm in the distribution method for optimizing the operating power of the compressor in the compressed air energy storage system described in the embodiments of the present application;

[0047] Figure 3 It is the fitness evolution curve diagram of the particle swarm optimization algorithm in the distribution method for optimizing the operating power of the compressor in the compressed air energy storage system described in the embodiments of the present application;

[0048] Figure 4 It is the fitness evolution scatter diagram of the particle swarm optimization algorithm in the distribution method for optimizing the operating power of the compressor in the compressed air energy storage system described in the embodiments of the present application;

[0049] Figure 5 It is the framework schematic diagram of the distribution device for optimizing the operating power of the compressor in the compressed air energy storage system described in the embodiments of the present application;

[0050] Figure 6 It is the schematic diagram of the terminal device described in the embodiments of the present application;

[0051] Figure 7 It is the schematic diagram of the existing large-scale compressed air energy storage system;

[0052] Figure 8 It is the compressor power efficiency curve diagram of the existing compressed air energy storage system;

[0053] Figure 9It is the schematic diagram of the energy storage power average distribution control for the existing compressed air energy storage system. Specific implementation mode

[0054] In order to make the invention purpose, features and advantages of the present application more obvious and understandable, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the embodiments described below are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0055] In the description of the embodiments of the present application, the terms "first" and "second" are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features. In the description of the embodiments of the present application, the meaning of "a plurality" is two or more, unless otherwise specifically defined.

[0056] In the embodiments of the present application, unless otherwise clearly specified and limited, the terms "installation", "connection", "connection", "fixation" and other terms should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or integrated; it can be a mechanical connection or an electrical connection; it can be directly connected, or indirectly connected through an intermediate medium, and can be the internal connection of two components or the interaction relationship between two components. For those of ordinary skill in the art, the specific meanings of the above terms in the embodiments of the present application can be understood according to specific situations.

[0057] The embodiments of the present application provide a method, device and equipment for optimizing the distribution of the operating power of a compressor in a compressed air energy storage system, which solves the technical problem that in a large-scale compressed energy storage system, the existing energy storage power control method adopts the average distribution control technology, which does not consider the efficiency characteristics of the compressor and the optimization of the total operating efficiency of the compression system, resulting in a low total operating efficiency of the system. The method, device and equipment for optimizing the distribution of the operating power of a compressor in the compressed air energy storage system can use any energy storage power scheduling instruction as the total power to obtain the optimal solution of the total operating efficiency of the compressed air energy storage system. Specifically, the method, device and equipment for optimizing the distribution of the operating power of a compressor in the compressed air energy storage system can find the optimal working condition according to the compressor performance curve within the full working condition range of the compressed air energy storage system, improving the operating efficiency of the compressed air energy storage system.

[0058] Embodiment 1:

[0059] Figure 1It is a flowchart of the steps of the method for optimizing the distribution of the operating power of the compressor in the compressed air energy storage system according to the embodiments of the present application.

[0060] As Figure 1 shown, the embodiments of the present application provide a method for optimizing the distribution of the operating power of the compressor in the compressed air energy storage system, including the following steps:

[0061] S1. Obtain the number of compressors in the compressed air energy storage system, the rated power of each motor, and the total power of the energy storage power scheduling instruction.

[0062] It should be noted that step S1 is to obtain data for analyzing the optimal operating condition combination of the total operating efficiency in the compressed air energy storage system in subsequent steps. In this embodiment, the rated power P e of each motor obtained in step S1 and the total power P grid of the energy storage power scheduling instruction. The allocated power of the compressor in the compressed air energy storage system is denoted as P i , and P i is the allocated power of the i-th compressor.

[0063] S2. Determine the operating scheme according to the total power and the rated power, obtain the power efficiency function of each compressor, and calculate according to the operating scheme and the power efficiency function of the corresponding compressor to obtain the starting compressors corresponding to the operating scheme and the allocated power of the starting compressors.

[0064] It should be noted that step S2 is first to determine the operating scheme of the operating conditions of the compressed air energy storage system according to the total power and the rated power of each motor obtained in step S1; second, to obtain the power efficiency function of each compressor; third, to calculate according to the operating scheme and the power efficiency function to obtain the starting compressors corresponding to the operating scheme and the allocated power of the starting compressors. In this embodiment, the power efficiency function is η i =f i (P i ), and η i is the operating efficiency of the i-th compressor.

[0065] In the embodiments of the present application, the method for optimizing the distribution of the operating power of the compressor in the compressed air energy storage system can obtain the power efficiency function of each compressor according to the factory performance test data provided by the compressor manufacturer, draw the power efficiency curve of the compressor from the performance test data, and fit the power efficiency function of the compressor from the power efficiency curve.

[0066] S3. Control the operation of the corresponding starting compressors according to the allocated power.

[0067] It should be noted that in step S3, the allocated power for starting the compressor is obtained according to step S2, and the corresponding starting compressor is controlled to operate according to the allocated power. In this embodiment, the allocation method for optimizing the operating power of the compressor in the compressed air energy storage system calculates the allocated power corresponding to the optimal actual operating point of the starting compressor through the total power of the operating plan and the energy storage power scheduling instruction and the power efficiency function, and controls the corresponding starting compressor of the compressed air energy storage system to operate according to the allocated power, so that the operating efficiency of the compressed air energy storage system is the best, and the total operating efficiency of the compressed air energy storage system is improved.

[0068] An allocation method for optimizing the operating power of a compressor in a compressed air energy storage system provided by the present application includes obtaining the number of compressors in the compressed air energy storage system, the rated power of each motor, and the total power of the energy storage power scheduling instruction; determining an operating plan according to the total power and the rated power of each motor, obtaining the power efficiency function of each compressor, and calculating according to the operating plan and the power efficiency function of the corresponding compressor to obtain the starting compressor corresponding to the operating plan and the allocated power of the starting compressor; controlling the corresponding starting compressor to operate according to the allocated power. The allocation method for optimizing the operating power of the compressor in the compressed air energy storage system determines the operating plan through the total power and the rated power, calculates the allocated power of the optimal actual operating point of the starting compressor according to the operating plan, the total power of the energy storage power scheduling instruction and the power efficiency function, and controls the corresponding starting compressor of the compressed air energy storage system to operate according to the allocated power, so that the operating efficiency of the compressed air energy storage system is the best, and the total operating efficiency of the compressed air energy storage system is improved; it solves the technical problem that in a large-scale compressed energy storage system, the existing energy storage power control method uses an average distribution control technology, which does not consider the compressor efficiency characteristics and the optimization of the total operating efficiency of the compression system, resulting in a low total operating efficiency of the system.

[0069] In an embodiment of the present application, if the rated power of each motor is the same, determining the operating plan according to the total power and the rated power of each motor includes:

[0070] If the total power is not less than the first threshold and not greater than the second threshold, the operating plan is the first plan to start one compressor;

[0071] If the total power is not less than the third threshold and not greater than the fourth threshold, the operating plan is the second plan to start two compressors;

[0072] If the total power is greater than the fourth threshold and not greater than the fifth threshold, the operating plan is the third plan to start two compressors or three compressors;

[0073] If the total power is greater than the fifth threshold and not greater than the sixth threshold, the operating plan is the fourth plan to start at least three compressors.

[0074] It should be noted that the first threshold may be 0.6 times the rated power, the second threshold may be the rated power, the third threshold may be 1.2 times the rated power, the fourth threshold may be 1.8 times the rated power, the fifth threshold may be 2.0 times the rated power, and the sixth threshold may be 3.0 times the rated power. In this embodiment, the method for optimizing the distribution of the compressor operating power in the compressed air energy storage system is to determine the operating scheme of the compressed air energy storage system according to the total power range of the energy storage power scheduling instruction, providing a basis for subsequently allocating the power for starting the compressor according to the total power of the energy storage power scheduling instruction. Among them, the operating scheme may be that one compressor starts to operate, two compressors start to operate, or at least three compressors start to operate.

[0075] In the embodiment of the present application, due to the safe operating boundary of the compressor, the power grid dispatching system sets the safe operating range of the compressed air energy storage system, and this safe operating range includes 0.6P e ~1.0P e and 1.2P e ~3.0P e . For the power outside the safe operating range, the power grid dispatching system will not issue an energy storage power scheduling instruction, and the compressed air energy storage system will not work. For example: if the total power of the energy storage power scheduling instruction is less than the first threshold, or the total power of the energy storage power scheduling instruction is greater than the second threshold and less than the third threshold, then the compressed air energy storage system does not operate.

[0076] In an embodiment of the present application, according to the calculation of the operating scheme and the power efficiency function of the corresponding compressor, the starting compressor corresponding to the operating scheme and the allocated power corresponding to the starting compressor are obtained, including:

[0077] If the operating scheme is to start one compressor, according to the total power and the power efficiency function of each compressor, the operating efficiency of each compressor operating at the total power is calculated;

[0078] The maximum value is selected from all the operating efficiencies as the best operating efficiency of this operating scheme, and the compressor corresponding to the best operating efficiency is the starting compressor of this operating scheme, and the allocated power of the starting compressor is the total power.

[0079] It should be noted that if the operation plan is the first plan to start one compressor, it means that only one compressor is required for the compressed air energy storage system to operate at the total power. In order to make the compressed air energy storage system operate at the total power with the maximum operating efficiency, it is necessary to select the starting compressor with the best operating efficiency from all the compressors in the compressed air energy storage system. In this embodiment, first, the operating efficiency of each compressor in the compressed air energy storage system is calculated according to the power efficiency function and the total power of each compressor. The maximum operating efficiency value is selected from the operating efficiencies of all compressors as the best operating efficiency of this operation plan, and the compressor corresponding to the best operating efficiency is the starting compressor of this operation plan. The allocated power of the starting compressor is the total power. Among them, the power efficiency function is η i =f i (P i ), η i is the operating efficiency of the i-th compressor.

[0080] In an embodiment of the present application, according to the operation plan and the power efficiency function of the corresponding compressor, calculating to obtain the starting compressor corresponding to the operation plan and the allocated power corresponding to the starting compressor includes:

[0081] If the operation plan is to start multiple compressors, multiple initial execution combinations are obtained by combining the multiple compressors according to the number of compressors in the operation plan; and according to the total power and the power efficiency function of each compressor, the operating efficiency of each compressor operating at the total power is calculated;

[0082] A function is constructed according to the total power, each group of initial execution combinations, and the operating efficiency of the compressor corresponding to each group of initial execution combinations to obtain the total efficiency optimal function corresponding to each group of initial execution combinations;

[0083] According to the total efficiency optimal function, the particle swarm optimization algorithm is used to calculate to obtain the total operating efficiency corresponding to each group of initial execution combinations;

[0084] The initial execution combination with the largest value is selected from all the total operating efficiencies as the optimal operating condition combination of this operation plan, and the allocated power of the starting compressor corresponding to the optimal operating condition combination is obtained from the total operating efficiency with the largest value;

[0085] Among them, the total efficiency optimal function is used as the fitness function of the particle swarm optimization algorithm;

[0086] The total efficiency optimal function is:

[0087]

[0088] In the formula, is the total operating efficiency, N is the number of starting compressors in the operation plan, P gridis the total power of the energy storage power scheduling instruction, P i is the allocated power of the i-th compressor is the operating efficiency of the i-th compressor.

[0089] It should be noted that according to the operation plan, at least two compressors need to be started. Then, it is necessary to determine which compressors in the compressed air energy storage system are used as the starting compressors and the allocated power to be assigned to each starting compressor. In other embodiments, the simulated annealing algorithm can also be used to calculate according to the total efficiency optimal function to obtain the total operating efficiency corresponding to each group of initial execution combinations. In this embodiment, if the operation plan is the third plan of starting two compressors or three compressors, according to the number of compressors, combinations are made for two compressors and three compressors respectively to obtain multiple groups of initial execution combinations composed of two compressors and three compressors. Among them, taking the number of compressors in the compressed air energy storage system as 3 as an example to illustrate the operation plan of starting multiple compressors, the starting compressors corresponding to the operation plan and the allocated power corresponding to the starting compressors are calculated according to the operation plan and the power efficiency function of the corresponding compressors.

[0090] In the embodiment of the present application, if the operation plan is the second plan of starting two compressors, combinations are made for two compressors according to the number of compressors to obtain multiple groups of initial execution combinations of pairwise compressor combinations; and according to the total power and the power efficiency function of each compressor, the operating efficiency of each compressor operating at the total power is calculated;

[0091] A function is constructed according to the total power, each group of initial execution combinations, and the operating efficiency of the compressors corresponding to each group of initial execution combinations to obtain the first total efficiency optimal function corresponding to each group of initial execution combinations;

[0092] The particle swarm algorithm is used to calculate according to the total efficiency optimal function to obtain the first total operating efficiency corresponding to each group of initial execution combinations;

[0093] The initial execution combination with the largest value is selected from all the first total operating efficiencies as the two starting compressors of this operation plan, and the allocated power corresponding to the two starting compressors is obtained from the first total operating efficiency with the largest value;

[0094] Among them, the first total efficiency optimal function is used as the fitness function of the particle swarm algorithm.

[0095] It should be noted that if the operation plan is the second plan to start two compressors, the number of compressors in the compressed air energy storage system is 3. As two compressors need to be started, the compressed air energy storage system has three groups of initial execution combinations. Each group of initial execution combinations establishes a total efficiency optimal function. Through methods such as the particle swarm optimization algorithm or the simulated annealing algorithm, the total operating efficiency of the optimal efficiency point of each group of initial execution combinations is obtained; select the initial execution combination with the maximum value of the three total operating efficiencies as the optimal operating condition combination of the optimal working condition, and the two compressors corresponding to the optimal operating condition combination are used as the two starting compressors in the second plan. The distribution power of these two starting compressors can also be obtained from the calculated operating efficiency. In this embodiment, if the operation plan is the second plan to start two compressors and the serial numbers of the three compressors are respectively recorded as 1, 2, and 3, then the compressed air energy storage system has a total of three groups of initial execution combinations: (1, 2), (1, 3), and (2, 3). Taking the (1, 2) initial execution combination as an example for calculation, first establish the first total efficiency optimal function of the initial execution combination composed of two compressors. The first total efficiency optimal function is:

[0096] ; P grid =P 1 +P 2

[0097] In the formula, P 1 is the distribution power of the first compressor, P 2 is the distribution power of the second compressor, η 1 is the operating efficiency of the first compressor, and η 2 is the operating efficiency of the second compressor. Similarly, the total operating efficiencies η 总13 and the total operating efficiency η 总23 of the (1, 3) and (2, 3) groups of initial execution combinations are obtained. The maximum total operating efficiency is selected from η 总12 , η 总13 , and η 总23 as the optimal total operating efficiency. Then, the initial execution combination corresponding to the optimal total operating efficiency is used as the optimal operating condition combination, and the distribution power of each starting compressor in the optimal operating condition combination is obtained.

[0098] Figure 2 is the operation flowchart of the particle swarm optimization algorithm in the distribution method for optimizing the operating power of compressors in the compressed air energy storage system described in the embodiments of the present application, Figure 3 is the fitness evolution curve graph of the particle swarm optimization algorithm in the distribution method for optimizing the operating power of compressors in the compressed air energy storage system described in the embodiments of the present application.

[0099] As Figure 2 shown, in the embodiments of the present application, the content of the particle swarm optimization algorithm includes:

[0100] Let the particle position represent the allocated power of the compressor, and the first total efficiency optimal function of the initial execution combination of pairwise compressor combinations be used as the fitness function (i.e., the value function).

[0101] Set the total power, initialize the number of swarm particles to 100, the particle dimension to 2, the maximum number of iterations T = 100, the learning factor to 1.5, the inertia weight to 0.4 - 0.8, the maximum value of the position (i.e., the allocated power) to 100, the minimum value of the position to 60, the maximum value of the velocity to Vmax = 0.5, and the minimum value of the velocity to Vmin = -0.5.

[0102] Initialize the positions x and velocities v of the swarm particles, the individual optimal positions p and optimal values P of the particles best , as well as the global optimal position g and optimal value g of the particle swarm best ;

[0103] Update the positions x and velocity values v, and perform boundary condition processing to determine whether to replace the individual optimal positions p and optimal values P of the particles best , the global optimal position g and optimal value g of the particle swarm best ;

[0104] Determine whether the termination condition is satisfied (reaching the maximum number of iterations): if satisfied, end the search process and output the optimized value; if not satisfied, continue with iterative optimization;

[0105] After the optimization is completed, its fitness evolution curve is as Figure 3 shown, and the optimized output result is the maximum value η 总12及 corresponding allocated powers P 1 and P 2 .

[0106] Figure 4 This is the fitness evolution scatter plot of the particle swarm algorithm in the allocation method for optimizing the operating power of compressors in the compressed air energy storage system described in the embodiments of the present application.

[0107] In the embodiments of the present application, if the operation plan is the third plan of starting two compressors or three compressors, multiple groups of initial execution combinations are obtained according to the combination of two compressors and the combination of three compressors according to the number of compressors; and according to the total power and the power efficiency function of each compressor, the operating efficiency of each compressor operating at the total power is calculated; wherein, the initial execution combinations include two compressors and three compressors.

[0108] Construct a function based on the total power, each group of initial execution combinations, and the operating efficiency of the compressors corresponding to each group of initial execution combinations, to obtain the first total efficiency optimal function corresponding to each group of initial execution combinations composed of two compressors and the second total efficiency optimal function corresponding to each group of initial execution combinations composed of three compressors;

[0109] Calculate respectively according to the first total efficiency optimal function and the second total efficiency optimal function using the particle swarm algorithm to obtain the second total operating efficiency corresponding to each group of initial execution combinations;

[0110] Screen out the second initial execution combination with the largest value from all the second total operating efficiencies as the optimal operating condition combination of this operating scheme, and obtain the allocated power of the compressors corresponding to the optimal operating condition combination from the second total operating efficiency with the largest value;

[0111] Among them, the first total efficiency optimal function or the second total efficiency optimal function is used as the fitness function of the particle swarm algorithm.

[0112] It should be noted that two or three compressors can be started. For the third scheme of starting two compressors, find the optimal operating condition of the initial execution combination composed of two compressors according to the first scheme; for the third scheme of starting three compressors, establish the second total efficiency optimal function when three compressors are running, obtain the optimal efficiency point and the allocated power of the three compressors, and screen out the total operating efficiency with the largest value among η 总12 、η 总13 、η 总23 、η 总123 as the optimal total operating efficiency. Then the initial execution combination corresponding to the optimal total operating efficiency is used as the optimal operating condition combination, and the allocated power of each started compressor in this optimal operating condition combination is obtained. For example: If the operating scheme is the third scheme of starting three compressors and the numbers of the three compressors are respectively recorded as 1, 2, and 3, then the second total efficiency optimal function is:

[0113] ; P grid =P 1 +P 2 +P 3

[0114] In the formula, P 1 is the allocated power of the first compressor, P 2 is the allocated power of the second compressor, P 3 is the allocated power of the third compressor, η 1 is the operating efficiency of the first compressor, η 2 is the operating efficiency of the second compressor, η 3is the operating efficiency of the third compressor. In this embodiment, the content of calculating the total operating efficiency by using the particle swarm algorithm according to the initial execution combination composed of three compressors includes:

[0115] Let the particle position represent the allocated power of the compressor, and the first total efficiency optimal function of the initial execution combination of pairwise compressor combinations be used as the fitness function (i.e., the value function);

[0116] Set the total power, initialize the number of population particles to 100, the particle dimension to 3, the maximum number of iterations T = 100, the learning factor to 1.5, the inertia weight to 0.4 - 0.8, the maximum value of the position (i.e., the allocated power) to 100, the minimum value of the position to 60, the maximum value of the speed to Vmax = 0.5, and the minimum value of the speed to Vmin = -0.5;

[0117] Initialize the population particle positions x and velocities v, the individual optimal positions p and optimal values P of the particles best , and the global optimal position g and optimal value g of the particle swarm best ;

[0118] Update the position x and the velocity value v, and perform boundary condition processing to determine whether to replace the individual optimal position p and optimal value P of the particle best , the global optimal position g and optimal value g of the particle swarm best ;

[0119] Determine whether the termination condition is satisfied (reaching the maximum number of iterations): if satisfied, end the search process and output the optimized value; if not satisfied, continue the iterative optimization;

[0120] After the optimization is completed, its fitness evolution curve is as Figure 4 shown, and the optimized output result is the maximum value η 总123及 corresponding allocated power P 1 、P 2 and P 3 .

[0121] In the embodiment of the present application, if the operation plan is the fourth plan to start at least three compressors, multiple groups of initial execution combinations are obtained according to the combination of at least three compressors according to the number of compressors; and according to the calculation of the total power and the power efficiency function of each compressor, the operating efficiency of each compressor operating according to the total power is obtained;

[0122] A function is constructed according to the total power, each group of initial execution combinations, and the operating efficiency of the compressors corresponding to each group of initial execution combinations, and the second total efficiency optimal function corresponding to each group of initial execution combinations is obtained;

[0123] According to the second total efficiency optimal function, the particle swarm algorithm is used for calculation to obtain the second total operating efficiency corresponding to each group of initial execution combinations;

[0124] From all the second total operating efficiencies, select the initial execution combination with the largest value as the optimal operating condition combination of this operating scheme, and obtain the allocated power of the compressor corresponding to the optimal operating condition combination from the second total operating efficiency with the largest value;

[0125] Among them, the second total efficiency optimal function is used as the fitness function of the particle swarm algorithm.

[0126] It should be noted that if the operating scheme is the fourth scheme, three compressors must be started. Establish the second total efficiency optimal function when the three compressors in this compressed air energy storage system are running, and obtain the optimal efficiency point and the allocated power of the three compressors.

[0127] In the embodiment of the present application, in the method for optimizing the allocation of the operating power of the compressor in the compressed air energy storage system, the compressed air energy storage system operates in a parallel mode of three sets of "motor + compressor", and each compressor has a similar Figure 8 power efficiency curve as shown. Sample 5 to 7 points on the curve to obtain the compressor power efficiency function as η i = f i (P i ), such as η 1 = f 1 (P 1 ), η 2 = f 2 (P 2 ), η 3 = f 3 (P 3 );

[0128]

[0129]

[0130]

[0131] The rated power P e of the three motors is all 100 MW, and the power range adjusted by the compressor guide vane is 60% - 100%. The total power optimization adjustment method within the adjustable range is:

[0132] 1) When P grid ∈ the 60 - 100 MW section, select the compressor with the maximum efficiency at this power point to operate. For example, when P grid = 75 MW, obtain η 1 = f 1 (P grid ) = 0.8681; η 2 = f 2 (P grid) = 0.8697; η 3 = f 3 (P grid ) = 0.8706, then select the third compressor to run.

[0133] 2) When P grid ∈ the 120 - 180 MW section, if P grid = 150 MW, there are a total of three initial execution combinations for the two compressors, namely (1, 2), (1, 3), and (2, 3). Obtained by the particle swarm algorithm:

[0134] η 总12_max = 0.8640, P 1 = 74.3, P 2 = 75.7

[0135] η 总13_max = 0.8596, P 1 = 73.7, P 3 = 76.3

[0136] η 总23_max = 0.8559, P 2 = 77.6, P 3 = 72.4

[0137] The above η 总12_max has the largest number, select the first compressor and the second compressor as the starting compressors of the compressed air energy storage system.

[0138] 3) When P grid ∈ the 180 - 200 MW section, if P grid = 190 MW, two or three compressors can be started. For the case of starting two compressors, find the optimal operating conditions of the two compressors according to the method in 2):

[0139] η 总12_max = 0.7942, P 1 = 94.2, P 2 = 95.8

[0140] η 总13_max = 0.7956, P 1 = 93.5, P 3 = 96.5

[0141] η 总23_max = 0.8222, P 2 = 100.0, P 3 = 90.0

[0142] For the case of starting three compressors, establish the total efficiency optimal function when three compressors are running as:

[0143]

[0144] P grid = P 1 + P 2 + P 3

[0145] Obtain η using the particle swarm optimization algorithm 总123 the maximum value and the allocated power; η 总123_max = 0.8547, P 1 = 62.5, P 2 = 63.5, P 3 = 64.0; η 总12_max η 总13_max η 总23_max η 总123_max The maximum value in η 总123_max is η, and its allocated power is the optimal operating condition of the compressed air energy storage system

[0146] 4) When P grid ∈ the 200 - 300 MW section, such as P grid = 280 MW, obtain the optimal operating conditions of the three compressors according to the method in 3) and obtain the allocated power. η 总123_max = 0.8538, P 1 = 78.6, P 2 = 80.0, P 3 = 81.4

[0147] Embodiment 2:

[0148] Figure 5 This is a schematic diagram of the framework of the allocation device for optimizing the operating power of the compressor in the compressed air energy storage system described in the embodiments of the present application

[0149] As Figure 5 shown, the embodiments of the present application provide an allocation device for optimizing the operating power of the compressor in a compressed air energy storage system, including a data acquisition module 10, a power allocation optimization module 20, and an execution module 30;

[0150] The data acquisition module 10 is used to acquire the number of compressors in the compressed air energy storage system, the rated power of each motor, and the total power of the energy storage power scheduling instruction;

[0151] The power allocation optimization module 20 is used to determine the operation plan according to the total power and the rated power, obtain the power efficiency function of each compressor, and calculate according to the operation plan and the power efficiency function of the corresponding compressor to obtain the starting compressors corresponding to the operation plan and the allocated power of the starting compressors;

[0152] Execution module 30, configured to control the operation of the corresponding compressor according to the allocated power.

[0153] It should be noted that the content of the modules in the device of the second embodiment has been described in the steps of the method of the first embodiment, and the content of the module of the power distribution device for optimizing the operating power of the compressor in the compressed air energy storage system will not be repeated in this embodiment. In this embodiment, the power distribution device for optimizing the operating power of the compressor in the compressed air energy storage system realizes the determination of the operation plan by the total power and the rated power through the data acquisition module, the power distribution optimization module and the execution module. According to the operation plan, the total power of the energy storage power scheduling instruction and the power efficiency function, the allocated power of the optimal actual operating point of the starting compressor is calculated, and the compressed air energy storage system controls the operation of the corresponding starting compressor according to the allocated power, so that the operation efficiency of the compressed air energy storage system is the best, and the total operation efficiency of the compressed air energy storage system is improved.

[0154] In the embodiment of the present application, the power distribution optimization module 20 includes a scheme determination sub-module. The scheme determination sub-module is configured to: if the total power is not less than the first threshold and not greater than the second threshold, the operation plan is the first plan to start one compressor; or if the total power is not less than the third threshold and not greater than the fourth threshold, the operation plan is the second plan to start two compressors; or if the total power is greater than the fourth threshold and not greater than the fifth threshold, the operation plan is the third plan to start two or three compressors; or if the total power is greater than the fifth threshold and not greater than the sixth threshold, the operation plan is the fourth plan to start at least three compressors.

[0155] In the embodiment of the present application, the power distribution optimization module 20 includes a power distribution sub-module. The power distribution sub-module is configured to: if the operation plan is to start one compressor, calculate the operating efficiency of each compressor operating at the total power according to the total power and the power efficiency function of each compressor, screen out the maximum value from all the operating efficiencies as the best operating efficiency of this operation plan, and the compressor corresponding to the best operating efficiency is the starting compressor of this operation plan, and the allocated power of the starting compressor is the total power; or

[0156] The power distribution sub-module is used to start multiple compressors according to the operation plan, combine multiple compressors in the operation plan according to the number of compressors to obtain multiple groups of initial execution combinations; and calculate according to the total power and the power efficiency function of each compressor to obtain the operating efficiency of each compressor operating at the total power; construct a function according to the total power, each group of initial execution combinations, and the operating efficiency of the compressors corresponding to each group of initial execution combinations to obtain the total efficiency optimal function corresponding to each group of initial execution combinations; calculate using the particle swarm algorithm according to the total efficiency optimal function to obtain the total operating efficiency corresponding to each group of initial execution combinations; screen out the initial execution combination with the largest value from all the total operating efficiencies as the optimal operating condition combination of this operation plan, and obtain the allocated power of the compressor corresponding to the optimal operating condition combination from the total operating efficiency with the largest value; wherein, the total efficiency optimal function is used as the fitness function of the particle swarm algorithm;

[0157] The total efficiency optimal function is:

[0158]

[0159] In the formula, is the total operating efficiency, N is the number of compressors started in the operation plan, P grid is the total power of the energy storage power scheduling instruction, P i is the allocated power of the i-th compressor, is the operating efficiency of the i-th compressor.

[0160] Embodiment 3:

[0161] Figure 6 It is a schematic diagram of the terminal device described in the embodiment of the present application.

[0162] As Figure 6 shown, the embodiment of the present application provides a terminal device, including a processor and a memory;

[0163] The memory is used to store program codes and transmit the program codes to the processor;

[0164] The processor is used to execute the above-mentioned allocation method for optimizing the operating power of the compressor in the compressed air energy storage system according to the instructions in the program code.

[0165] It should be noted that the processor is used to execute the steps in the above-mentioned embodiment of the allocation method for optimizing the operating power of the compressor in a compressed air energy storage system according to the instructions in the program code. Or, when the processor executes the computer program, it realizes the functions of each module / unit in the above-mentioned system / device embodiments.

[0166] Exemplarily, a computer program can be divided into one or more modules / units. One or more modules / units are stored in a memory and executed by a processor to complete the present application. One or more modules / units can be a series of computer program instruction segments capable of performing specific functions, and these instruction segments are used to describe the execution process of the computer program in the terminal device.

[0167] The terminal device can be a computing device such as a desktop computer, a notebook, a palm computer, and a cloud server. The terminal device may include, but is not limited to, a processor and a memory. Those skilled in the art can understand that this does not constitute a limitation on the terminal device, and it may include more or fewer components than shown in the figure, or combine certain components, or different components. For example, the terminal device may further include input / output devices, network access devices, a bus, etc.

[0168] The so-called processor may be a central processing unit (CPU), or may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0169] The memory may be an internal storage unit of the terminal device, such as the hard disk or memory of the terminal device. The memory may also be an external storage device of the terminal device, such as a plug-in hard disk equipped on the terminal device, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. Further, the memory may also include both the internal storage unit and the external storage device of the terminal device. The memory is used to store computer programs and other programs and data required by the terminal device. The memory may also be used to temporarily store data that has been output or will be output.

[0170] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the above-described systems, devices, and units can refer to the corresponding processes in the foregoing method embodiments, and will not be described herein again.

[0171] In several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection between each other can be through some interfaces. The indirect coupling or communication connection of the device or unit can be in electrical, mechanical, or other forms.

[0172] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0173] In addition, in each embodiment of the present invention, the functional units can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

[0174] If the above-mentioned integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in each embodiment of the present invention. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs that can store program codes.

[0175] As mentioned above, the above embodiments are only used to illustrate the technical solutions of the present application and are not intended to limit them. Although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments or perform equivalent replacements for some of the technical features. And these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of each embodiment of the present application.

Claims

1. A method for optimizing the distribution of compressor operating power in a compressed air energy storage system, characterized in that: The following steps are involved: Obtain the number of compressors of the compressed air energy storage system, the rated power of each motor and the total power of the energy storage power dispatch instruction; Determine an operation scheme according to the total power and the rated power, obtain a power efficiency function of each compressor, and calculate according to the operation scheme and the power efficiency function of the corresponding compressor to obtain a start compressor corresponding to the operation scheme and an allocated power of the start compressor; The corresponding started compressor operates according to the allocated power control.

2. The method for optimizing the distribution of compressor operating power in a compressed air energy storage system according to claim 1, characterized in that: If the rated power of each motor is the same, determining the operation plan according to the total power and the rated power includes: If the total power is not less than the first threshold value and not greater than the second threshold value, the operation scheme is a first scheme of starting a compressor; If the total power is not less than the third threshold value and not greater than the fourth threshold value, the operation scheme is the second scheme of starting two compressors; If the total power is greater than the fourth threshold value and not greater than the fifth threshold value, the operation scheme is the third scheme of starting two compressors or three compressors; If the total power is greater than the fifth threshold value and not greater than the sixth threshold value, the operation scheme is the fourth scheme of starting at least three compressors.

3. The method for optimizing the distribution of compressor operating power in a compressed air energy storage system according to claim 1, characterized in that: Calculating according to the operation scheme and the power efficiency function corresponding to the compressor, obtaining the startup compressor corresponding to the operation scheme and the allocated power corresponding to the startup compressor comprises: If the operation plan is to start a compressor, the operation efficiency of each compressor operating at the total power is calculated according to the total power and the power efficiency function of each compressor; The one with the largest value is selected from all the operating efficiencies as the optimal operating efficiency of the operating scheme, and the compressor corresponding to the optimal operating efficiency is the starting compressor of the operating scheme, and the allocated power of the starting compressor is the total power.

4. The method for optimizing the distribution of compressor operating power in a compressed air energy storage system according to any one of claims 1 to 3, characterized in that: Calculating according to the operation scheme and the power efficiency function corresponding to the compressor, obtaining the startup compressor corresponding to the operation scheme and the allocated power corresponding to the startup compressor comprises: If the operation plan is to start multiple compressors, multiple compressors according to the operation plan are combined according to the number of compressors to obtain multiple groups of initial execution combinations; and the operation efficiency of each compressor running at the total power is calculated according to the total power and the power efficiency function of each compressor; Constructing a function according to the total power and each group of the initial execution combinations and the operating efficiency of the compressor corresponding to each group of the initial execution combinations, and obtaining a total efficiency optimal function corresponding to each group of the initial execution combinations; The particle swarm algorithm is used to calculate the total efficiency optimal function to obtain the total operation efficiency corresponding to each group of the initial execution combinations; Selecting the initial execution combination with the largest value from all the total operation efficiencies as the optimal operation condition combination of the operation scheme, and obtaining the allocated power of the start-up compressor corresponding to the optimal operation condition combination from the total operation efficiency with the largest value; The total efficiency optimal function is used as the fitness function of the particle swarm algorithm.

5. The method for optimizing the distribution of compressor operating power in a compressed air energy storage system according to claim 4, characterized in that: include: If the operation plan is the third plan of starting two compressors or three compressors, the compressors are combined into two or three groups according to the number of compressors to obtain multiple groups of initial execution combinations including two compressors and three compressors.

6. The method for optimizing the distribution of compressor operating power in a compressed air energy storage system according to claim 4, characterized in that: The overall efficiency optimal function is: In the formula, is the total operating efficiency, N is the number of compressors started in the operating plan, P grid is the total power of the energy storage power dispatch instruction, P i is the allocated power of the i-th compressor, is the operating efficiency of the i-th compressor.

7. A distribution device for optimizing the operating power of a compressor in a compressed air energy storage system, characterized in that: include: Data acquisition module, power allocation optimization module and execution module; The data acquisition module is used to obtain the number of compressors of the compressed air energy storage system, the rated power of each motor and the total power of the energy storage power scheduling instruction; The power allocation optimization module is used to determine an operation plan according to the total power and the rated power, obtain a power efficiency function of each compressor, and calculate according to the operation plan and the power efficiency function of the corresponding compressor to obtain a startup compressor corresponding to the operation plan and the allocated power of the startup compressor; The execution module is used to control the operation of the corresponding compressor according to the allocated power.

8. The distribution device for optimizing the compressor operating power in the compressed air energy storage system according to claim 7, characterized in that: The power allocation optimization module includes a scheme determination submodule, which is used to determine that, based on the total power being not less than a first threshold and not greater than a second threshold, the operating scheme is a first scheme for starting one compressor; or based on the total power being not less than a third threshold and not greater than a fourth threshold, the operating scheme is a second scheme for starting two compressors; or based on the total power being greater than the fourth threshold and not greater than the fifth threshold, the operating scheme is a third scheme for starting two or three compressors; or based on the total power being greater than the fifth threshold and not greater than the sixth threshold, the operating scheme is a fourth scheme for starting at least three compressors.

9. The distribution device for optimizing the compressor operating power in the compressed air energy storage system according to claim 7, characterized in that: The power allocation optimization module includes a power allocation submodule, which is used to start a compressor according to the operation plan, calculate according to the total power and the power efficiency function of each compressor, obtain the operation efficiency of each compressor operating at the total power, select the largest value from all the operation efficiencies as the best operation efficiency of the operation plan, and the compressor corresponding to the best operation efficiency is the start compressor of the operation plan, and the allocated power of the start compressor is the total power; or The power distribution submodule is used to start the multiple compressors according to the operation plan, and to combine the multiple compressors according to the operation plan according to the number of compressors to obtain multiple groups of initial execution combinations; And according to the total power and the power efficiency function of each compressor, the operating efficiency of each compressor operating at the total power is obtained; according to the total power and each group of the initial execution combinations and the operating efficiency of the compressor corresponding to each group of the initial execution combinations, a function is constructed to obtain the total efficiency optimal function corresponding to each group of the initial execution combinations; according to the total efficiency optimal function, a particle swarm algorithm is used to calculate to obtain the total operating efficiency corresponding to each group of the initial execution combinations; from all the total operating efficiencies, the initial execution combination with the largest value is selected as the optimal operating condition combination of the operating scheme, and the allocated power of the compressor corresponding to the optimal operating condition combination is obtained from the total operating efficiency with the largest value; wherein the total efficiency optimal function is used as the fitness function of the particle swarm algorithm; The overall efficiency optimal function is: In the formula, is the total operating efficiency, N is the number of compressors started in the operating plan, P grid is the total power of the energy storage power dispatch instruction, P i is the allocated power of the i-th compressor, is the operating efficiency of the i-th compressor.

10. A terminal device, characterized in that: including a processor and a memory; The memory is used to store program codes and transmit the program codes to the processor; The processor is used to execute the method for optimizing the distribution of compressor operating power in a compressed air energy storage system according to the instructions in the program code.

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