Fire storage combined frequency modulation-oriented electrochemical energy storage battery automatic regulation and control method and system

Abstract

The invention relates to the technical field of energy storage battery regulation and control, and discloses an electrochemical energy storage battery automatic regulation and control method and system for fire-storage combined frequency modulation, and the method comprises the steps: carrying out the time-frequency filtering decomposition and power grid frequency deviation calculation of a power grid signal, and generating the real-time regulation and control power of a thermal power generating unit and an electrochemical energy storage battery; constructing a multi-target fire storage joint frequency modulation target function and carrying out optimization solution to obtain an optimal regulation and control parameter; and regulating and controlling the charging and discharging power of the electrochemical energy storage battery by adopting the optimal regulation and control parameters. According to the invention, with maximization of the service life of the electrochemical energy storage battery and minimization of the operation cost of the fire storage system as targets, quantitative expression is carried out on the battery capacity performance, the battery temperature performance and the operation cost of the thermal power generating unit, and optimal regulation and control parameters are obtained through solving for fire storage combined frequency modulation. The rapid response capability of the energy storage battery and the continuous output capability of the thermal power generating unit are utilized to cooperatively adjust the power grid frequency, thereby ensuring the stable and economic operation of the power system.

Description

Technical Field

[0001] The present invention relates to the field of energy storage battery regulation, and in particular to an automatic regulation method and system for electrochemical energy storage batteries for thermal energy storage combined frequency regulation. Background Art

[0002] Since renewable energy generation is intermittent, volatile and random, this unstable characteristic poses new challenges to the safety, stability and economy of the power system. Against this background, the technology of combined frequency regulation of thermal energy storage has gradually attracted attention. Combined frequency regulation of thermal energy storage refers to the combination of thermal power units and electrochemical energy storage systems to collaboratively complete the task of grid frequency regulation. This method makes full use of the advantages of high inertia of thermal power units and rapid response of electrochemical energy storage systems, and can effectively improve the frequency regulation performance. However, due to the extremely strict requirements of the power grid for frequency regulation, this places high demands on the response speed, power regulation accuracy and stability of the energy storage system. The performance of electrochemical energy storage batteries is limited by factors such as battery capacity, life, and state of charge (SOC). In addition, in the combined frequency regulation of thermal energy storage, the battery needs to be charged and discharged frequently. If it is not properly regulated, it will cause excessive aging or even failure of the battery. Summary of the invention

[0003] In view of this, the present invention provides an automatic control method for electrochemical energy storage batteries for combined frequency regulation of fire and energy storage, which optimizes its operating efficiency and prolongs its service life to improve the efficiency of combined frequency regulation of fire and energy storage.

[0004] To achieve the above object, the present invention provides an automatic control method for electrochemical energy storage batteries for thermal energy storage combined frequency modulation, comprising the following steps:

[0005] S1: Perform time-frequency filtering decomposition on the grid signal and calculate the grid frequency deviation, and generate the real-time control power of the thermal power unit and the real-time control power of the electrochemical energy storage battery according to the grid frequency deviation;

[0006] S2: Based on the real-time control power of the thermal power unit and the real-time control power of the electrochemical energy storage battery, a multi-objective thermal-storage joint frequency regulation objective function is constructed. The multi-objective thermal-storage joint frequency regulation objective function uses the operating status of the electrochemical energy storage battery and the thermal power unit and the real-time control power as fixed parameter variables, and uses the operating control power of the thermal power unit and the electrochemical energy storage battery as control parameter variables, with the goal of maximizing the service life of the electrochemical energy storage battery and minimizing the operating cost of the thermal-storage system;

[0007] S3: Optimize and solve the multi-objective fire-storage joint frequency regulation objective function to obtain the optimal regulation parameters, where the optimization solution adopts the strategy-enhanced butterfly optimization method;

[0008] S4: Using optimal control parameters to control the charge and discharge power of the electrochemical energy storage battery.

[0009] As a further improvement method of the present invention:

[0010] Optionally, the step S1 performs time-frequency filtering decomposition on the power grid signal and calculates the power grid frequency deviation, including:

[0011] Construct a real-time power grid signal, then the constructed power grid signal at time t is :

[0012] ;

[0013] in:

[0014] represents the power grid signal at time t, Indicates power grid signal The signal value at the nth signal moment in the equation, and the time interval between adjacent signal moments is , then the signal value For the power grid The current at the moment;

[0015] Power grid signal Perform time-frequency filtering decomposition and grid frequency deviation calculation:

[0016] S11: Power grid signal Perform spectrum decomposition calculation based on time frame to obtain power grid signal Spectral values ​​at different spectral points and time frame indices:

[0017] X t d (e)= ∑ n=1 N x t (n)∙exp[- 1 2 ( n- L en 2 -d s 0 ) 2 ]∙exp(-j 2p N ),e ∈ [1,N] ;

[0018] in:

[0019] Indicates power grid signal The spectrum value at time frame index d and spectrum point number e, d ∈ [1,D] , D represents the preset maximum time frame index;

[0020] represents the scale coefficient;

[0021] Indicates the spectrum decomposition length, set Len to 6;

[0022] represents an imaginary unit;

[0023] represents an exponential function with a natural constant as base;

[0024] S12: Use a time-frequency filter to perform time-frequency filtering on the spectrum value to obtain the spectrum value after time-frequency filtering, where the spectrum value The time-frequency filtering processing formula is:

[0025] Y t d (e)= X t d (e)∙exp[- 1 2 ( ( d- L en 2 s 1 ) 2 +( e- L en 2 s 2 ))] ;

[0026] in:

[0027] represents the time scale coefficient, represents the frequency scale coefficient;

[0028] Indicates the spectrum value The time-frequency filtering processing result of

[0029] S13: Convert the spectrum value after time-frequency filtering into the power grid signal after time-frequency filtering decomposition :

[0030] ;

[0031] y t (n)= ∑ d=1 D ∑ e=1 N Y t d (e) ∙exp[- 1 2 ( n- L en 2 -d s 0 ) 2 ]∙exp(-j 2p N ) ;

[0032] in:

[0033] Indicates power grid signal The signal value at the nth signal moment in ;

[0034] S14: Calculate the power grid signal The grid frequency is obtained and the grid frequency deviation is calculated.

[0035] Optionally, the power grid signal calculated in step S14 is The grid frequency is calculated and the grid frequency deviation is obtained, including:

[0036] The grid signal The grid frequency is :

[0037] ;

[0038] e * =argmax e∈[1,N] ∑ n=1 N y t (n)∙exp(-j 2p N ) ;

[0039] in:

[0040] Indicates power grid signal The maximum number of spectrum points;

[0041] The grid frequency deviation at time t is calculated:

[0042] ;

[0043] in:

[0044] Indicates the nominal frequency of the power grid;

[0045] Represents the grid frequency deviation at time t.

[0046] Optionally, the generating of real-time control power of thermal power generating units according to the grid frequency deviation includes:

[0047] Generate real-time control power of thermal power units according to grid frequency deviation And real-time power regulation of electrochemical energy storage batteries :

[0048] ;

[0049] ;

[0050] in:

[0051] Indicates the frequency regulation gain coefficient of the thermal power unit;

[0052] Represents the frequency modulation gain coefficient of the electrochemical energy storage battery. In the embodiment of the present invention, the frequency modulation gain coefficient is used as a bias, and the bias range is preliminarily set. The bias is gradually adjusted through historical data to find the optimal bias. The real-time power regulation can be automatically put in and out when the SOC of the energy storage battery reaches a preset range or the power grid frequency modulation power deviation is lower than a preset threshold. When the SOC of the electrochemical energy storage battery reaches a preset range, the electrochemical energy storage battery is replaced, and the real-time power regulation is recalculated to control the grid frequency.

[0053] Optionally, in step S2, a multi-objective thermal-storage joint frequency regulation objective function is constructed based on the real-time regulation power of the thermal power unit and the real-time regulation power of the electrochemical energy storage battery, including:

[0054] Based on the real-time control power of thermal power units and the real-time control power of electrochemical energy storage batteries, a multi-objective thermal-storage joint frequency regulation objective function is constructed. :

[0055] F(θ) = W 2 [exp( C(time) ∙ F 1 ( i 2 ) C 0 )+Temp( i 2 )+R( i 2 )]- W 1 Cost( i 1 ) ;

[0056]

[0057] C(time) = C 0 ∙[1- α 1 ∙exp(-num∙ α 2 ∙ f 1 ( SOC t ,time))] ;

[0058] f 1 ( SOC t (time)) = β 1 time∙ exp [ β 2 ( SOC t - SOC ref ( SOC t ))] ;

[0059] ;

[0060] ;

[0061] ;

[0062] in:

[0063] Represents the multi-objective fire-storage joint frequency modulation objective function The control parameter variables in Indicates the operating control power of the electrochemical energy storage battery, Indicates the operating and regulating power of thermal power units;

[0064] It represents the battery capacity of the electrochemical energy storage battery after the running time time, and time represents the running time of the electrochemical energy storage battery until the time t;

[0065] Indicates the initial battery capacity of the electrochemical energy storage battery;

[0066] represents the battery state of charge of the electrochemical energy storage battery at time t, Indicates battery charge status The charge and discharge step coefficient at ;

[0067] Indicates the time attenuation coefficient of battery capacity;

[0068] It indicates the influence factor of the working environment of electrochemical energy storage battery on the formation of solid electrolyte phase boundary film in the battery;

[0069] Indicates the number of cycles of an electrochemical energy storage battery;

[0070] Indicates the battery capacity loss parameter;

[0071] Indicates that the power is adjusted by operation After that, the influence coefficient on battery capacity;

[0072] Indicates the temperature coefficient of battery capacity;

[0073] represents the temperature of the electrochemical energy storage battery at time t, represents the operating power of the electrochemical energy storage battery at time t, A positive value indicates that the electrochemical energy storage battery is in a discharge state. A negative value indicates that the electrochemical energy storage battery is in a charging state;

[0074] Indicates the standard voltage of the power grid. represents the standard internal resistance of the electrochemical energy storage battery, m represents the mass of the electrochemical energy storage battery, c represents the specific heat capacity of the electrochemical energy storage battery, Indicates the length of a charge and discharge cycle. Indicates the normal temperature of an electrochemical energy storage cell;

[0075] Indicates that the power is adjusted by operation Battery temperature index of the electrochemical energy storage battery after the test;

[0076] Indicates that the thermal power unit adopts operation control power After that, the operating cost of thermal power units;

[0077] represents the power regulation cost coefficient of thermal power units, represents the power cost coefficient of thermal power units, Represents the operating power of the thermal power unit at time t;

[0078] represents the importance weight of battery life, Represents the cost importance weight of thermal power units;

[0079] The constraints for constructing the multi-objective fire-storage joint frequency regulation objective function are as follows:

[0080] ;

[0081] in:

[0082] represents the power regulation extreme value of the thermal power unit, Represents the power regulation limit of the electrochemical energy storage battery.

[0083] Optionally, in step S3, optimizing and solving the multi-objective fire-storage joint frequency modulation objective function includes:

[0084] Based on the constraints, the multi-objective thermal storage joint frequency regulation objective function is optimized and solved to obtain the control parameter variables that maximize the service life of the electrochemical energy storage battery and minimize the operating cost of the thermal storage system. The optimization solution process is as follows:

[0085] S31: Initialize the position coordinates of U butterflies, where the position coordinates of the u-th butterfly generated by initialization are :

[0086] L u 0 =( L u 0 (1), L u 0 (2)),u ∈ [1,U] ;

[0087] in:

[0088] Indicates location coordinates The coordinate values ​​in two dimensions, Corresponding to the operating and regulating power of thermal power units, Corresponding to the operation and control power of the electrochemical energy storage battery;

[0089] S32: Set the current iteration number of the butterfly position coordinates to z, and the maximum iteration number to Z. Then the z-th iteration result of the position coordinates of the u-th butterfly is , the initial value of z is 0;

[0090] S33: Based on the constraint conditions and the multi-objective fire storage joint frequency modulation objective function, the fitness function of the position coordinates is constructed, and the position coordinates are used as the input of the fitness function to obtain the fitness function value of the position coordinates, where the position coordinates The fitness function value is :

[0091] H( L u z ) = W 2 [exp( C(time) ∙ F 1 ( L u z (2) ) C 0 )+Temp( L u z (2) )+R( L u z (2) )]- W 1 Cost( L u z (1) )+h( L u z ) ;

[0092] ;

[0093] in:

[0094] Indicates location coordinates The constraint bias term of ;

[0095] S34: The position coordinates of U butterflies obtained in the zth iteration are used as the fitness function The input value of the fitness function is the position coordinate with the largest value as the optimal position coordinate obtained by the zth iteration. ;

[0096] S35: Calculate the position coordinates The probability of conducting a global search , then the position coordinates The probability of conducting a local search is , control position coordinates Perform a global search or a local search to find the position coordinates Iterate

[0097] S36: Set z=z+1, return to step S33, until the maximum number of iterations is reached, and select the position coordinate with the maximum current fitness function value As the optimal control parameter, represents the operation control power of the electrochemical energy storage battery obtained by solving, It represents the operation control power of the thermal power unit obtained by solving.

[0098] Optionally, the position coordinates calculated in step S35 are The probability of conducting a global search , control position coordinates Perform a global search or a local search to find the position coordinates Iterations include:

[0099] The probability The calculation formula is:

[0100] ;

[0101] The position coordinates The global search formula is:

[0102] L u z+1 = w z A H( L u z ) H( L best z ) ∙[ rand(0,1) ∙ L best z - L u z ]+ L u z ;

[0103] ;

[0104] in:

[0105] Represents a random number between 0 and 1;

[0106] A represents the stimulation intensity of the butterfly scent;

[0107] Represents the iteration weight of the zth iteration of the position coordinate;

[0108] The position coordinates The local search formula is:

[0109] L u z+1 = w z A H( L u z ) H( L best z ) ∙[ rand(0,1) ∙ L rand z - L u z ]+ L u z ;

[0110] in:

[0111] Represents the coordinates of an arbitrary position at the z-th iteration.

[0112] Optionally, in step S4, the optimal control parameters are used to control the charge and discharge power of the electrochemical energy storage battery, including:

[0113] Use the optimal control parameters The charge and discharge power of the electrochemical energy storage battery is regulated, and the operating power of the electrochemical energy storage battery at time t is changed from Control to The operating power of the thermal power unit is Control to , realizing automatic control of electrochemical energy storage battery power for combined thermal and energy storage frequency regulation.

[0114] In order to solve the above problems, the present invention also provides an electrochemical energy storage battery automatic control system for thermal energy storage combined frequency modulation, the system comprising:

[0115] The thermal energy storage frequency regulation module is used to perform time-frequency filtering decomposition on the power grid signal and calculate the power grid frequency deviation, and generate the real-time regulation power of the thermal power unit and the real-time regulation power of the electrochemical energy storage battery according to the power grid frequency deviation;

[0116] The multi-objective operation and control module is used to construct a multi-objective thermal-storage joint frequency regulation objective function based on the real-time control power of the thermal power unit and the real-time control power of the electrochemical energy storage battery;

[0117] The battery control device is used to optimize and solve the multi-objective thermal storage joint frequency regulation objective function, obtain the optimal control parameters, and use the optimal control parameters to control the charging and discharging power of the electrochemical energy storage battery.

[0118] In order to solve the above problem, the present invention further provides an electronic device, the electronic device comprising:

[0119] A memory storing at least one instruction;

[0120] Communication interface, enabling electronic equipment to communicate; and

[0121] The processor executes the instructions stored in the memory to implement the above-mentioned automatic control method of electrochemical energy storage battery for thermal energy storage combined frequency modulation.

[0122] In order to solve the above problems, the present invention also provides a computer-readable storage medium, in which at least one instruction is stored. The at least one instruction is executed by a processor in an electronic device to implement the above-mentioned automatic control method of electrochemical energy storage batteries for combined frequency modulation of thermal energy storage.

[0123] Compared with the prior art, the present invention proposes an automatic control method for electrochemical energy storage batteries for thermal energy storage combined frequency modulation, which has the following advantages:

[0124] First, this scheme proposes a filtering method for power grid signals and a joint frequency regulation strategy for thermal energy storage. The time-frequency filtering decomposition method is adopted to divide the power grid signal into multiple time frames from the time domain level and perform spectrum representation to obtain the time-frequency representation result of the power grid signal. The time-frequency filtering function is used to perform time-frequency filtering processing to obtain the power grid signal with time domain noise and frequency domain noise removed, and the power grid frequency deviation is calculated to generate the real-time regulation power of the thermal power unit and the real-time regulation power of the electrochemical energy storage battery that corrects the power grid frequency deviation. According to the power grid frequency deviation, the energy storage battery automatically absorbs redundant electric energy for replenishment, or releases the stored electric energy for discharge, so as to keep the power of the electrochemical energy storage battery within the optimal SOC range for long-term operation, improve the safety of the power grid system, increase the stable operation time of the power grid system, and improve the performance of the joint frequency regulation of thermal energy storage.

[0125] At the same time, this scheme proposes an optimization method for real-time power regulation. Based on the real-time power regulation of thermal power units and the real-time power regulation of electrochemical energy storage batteries, with the goal of maximizing the service life of electrochemical energy storage batteries and minimizing the operating cost of the thermal storage system, a multi-objective thermal storage joint frequency regulation objective function is constructed, and the battery capacity performance and battery temperature performance are quantified. A step charge and discharge mode is adopted in the objective function, and different charge and discharge step coefficients are used under different battery charge states to obtain the optimal charge and discharge power that adapts to the current battery characteristics. The multi-objective thermal storage joint frequency regulation objective function is optimized and solved to obtain the optimal regulation parameters for thermal storage joint frequency regulation. The rapid response capability of energy storage batteries and the continuous output capacity of thermal power units are used to coordinately adjust the grid frequency to ensure the stability and economic operation of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0126] Figure 1 A schematic flow chart of an automatic control method for an electrochemical energy storage battery for thermal energy storage combined frequency modulation provided by an embodiment of the present invention;

[0127] Figure 2A functional module diagram of an electrochemical energy storage battery automatic control system for thermal energy storage combined frequency modulation provided by an embodiment of the present invention;

[0128] Figure 2 In: 100 Automatic control system of electrochemical energy storage battery for combined frequency regulation of thermal energy storage, 101 Thermal energy storage frequency regulation module, 102 Multi-objective operation control module, 103 Battery control device;

[0129] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0130] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0131] The embodiment of the present application provides an automatic control method for electrochemical energy storage batteries for combined frequency modulation of thermal storage. The execution subject of the automatic control method for electrochemical energy storage batteries for combined frequency modulation of thermal storage includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided in the embodiment of the present application. In other words, the automatic control method for electrochemical energy storage batteries for combined frequency modulation of thermal storage can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc.

[0132] Embodiment 1:

[0133] An automatic control method for electrochemical energy storage batteries for thermal energy storage combined frequency modulation comprises the following steps:

[0134] S1: Perform time-frequency filtering decomposition on the grid signal and calculate the grid frequency deviation, and generate the real-time control power of the thermal power unit and the real-time control power of the electrochemical energy storage battery according to the grid frequency deviation.

[0135] The step S1 performs time-frequency filtering decomposition on the power grid signal and calculates the power grid frequency deviation, including:

[0136] Construct a real-time power grid signal, then the constructed power grid signal at time t is :

[0137] ;

[0138] in:

[0139] represents the power grid signal at time t, Indicates power grid signal The signal value at the nth signal moment in the equation, and the time interval between adjacent signal moments is , then the signal value For the power grid The current at the moment;

[0140] Power grid signal Perform time-frequency filtering decomposition and grid frequency deviation calculation:

[0141] S11: Power grid signal Perform spectrum decomposition calculation based on time frame to obtain power grid signal Spectral values ​​at different spectral points and time frame indices:

[0142] X t d (e)= ∑ n=1 N x t (n)∙exp[- 1 2 ( n- L en 2 -d s 0 ) 2 ]∙exp(-j 2p N ),e ∈ [1,N] ;

[0143] in:

[0144] Indicates power grid signal The spectrum value at time frame index d and spectrum point number e, d ∈ [1,D] , D represents the preset maximum time frame index;

[0145] represents the scale coefficient;

[0146] Indicates the spectrum decomposition length, set Len to 6;

[0147] represents an imaginary unit;

[0148] represents an exponential function with a natural constant as base;

[0149] S12: Use a time-frequency filter to perform time-frequency filtering on the spectrum value to obtain the spectrum value after time-frequency filtering, where the spectrum value The time-frequency filtering processing formula is:

[0150] Y t d (e)= X t d (e)∙exp[- 1 2 ( ( d- L en 2 s 1 ) 2 +( e- L en 2 s 2 ))] ;

[0151] in:

[0152] represents the time scale coefficient, represents the frequency scale coefficient;

[0153] Indicates the spectrum value The time-frequency filtering processing result of

[0154] S13: Convert the spectrum value after time-frequency filtering into the power grid signal after time-frequency filtering decomposition :

[0155] ;

[0156] y t (n)= ∑ d=1 D ∑ e=1 N Y t d (e) ∙exp[- 1 2 ( n- L en 2 -d s 0 ) 2 ]∙exp(-j 2p N ) ;

[0157] in:

[0158] Indicates power grid signal The signal value at the nth signal moment in ;

[0159] S14: Calculate the power grid signal The grid frequency is obtained and the grid frequency deviation is calculated.

[0160] The power grid signal is calculated in step S14 The grid frequency is calculated and the grid frequency deviation is obtained, including:

[0161] The grid signal The grid frequency is :

[0162] ;

[0163] e * =argmax e∈[1,N] ∑ n=1 N y t (n)∙exp(-j 2p N ) ;

[0164] in:

[0165] Indicates power grid signal The maximum number of spectrum points;

[0166] The grid frequency deviation at time t is calculated:

[0167] ;

[0168] in:

[0169] Indicates the nominal frequency of the power grid;

[0170] Represents the grid frequency deviation at time t.

[0171] The method of generating the real-time control power of the thermal power generation unit according to the power grid frequency deviation includes:

[0172] Generate real-time control power of thermal power units according to grid frequency deviation And real-time power regulation of electrochemical energy storage batteries :

[0173] ;

[0174] ;

[0175] in:

[0176] Indicates the frequency regulation gain coefficient of the thermal power unit;

[0177] Represents the frequency modulation gain coefficient of the electrochemical energy storage battery.

[0178] S2: Based on the real-time control power of thermal power units and the real-time control power of electrochemical energy storage batteries, a multi-objective thermal-storage joint frequency regulation objective function is constructed.

[0179] In the step S2, based on the real-time control power of the thermal power unit and the real-time control power of the electrochemical energy storage battery, a multi-objective thermal-storage joint frequency regulation objective function is constructed, including:

[0180] Based on the real-time control power of thermal power units and the real-time control power of electrochemical energy storage batteries, a multi-objective thermal-storage joint frequency regulation objective function is constructed. :

[0181] F(θ) = W 2 [exp( C(time) ∙ F 1 ( i 2 ) C 0 )+Temp( i 2 )+R( i 2 )]- W 1 Cost( i 1 ) ;

[0182] ;

[0183] C(time) = C 0 ∙[1- α 1 ∙exp(-num∙ α 2 ∙ f 1 ( SOC t ,time))] ;

[0184] f 1 ( SOC t (time)) = β 1 time∙ exp [ β 2 ( SOC t - SOC ref ( SOC t ))] ;

[0185] ;

[0186] ;

[0187] ;

[0188] in:

[0189] Represents the multi-objective fire-storage joint frequency modulation objective function The control parameter variables in Indicates the operating control power of the electrochemical energy storage battery, Indicates the operating and regulating power of thermal power units;

[0190] It represents the battery capacity of the electrochemical energy storage battery after the running time time, and time represents the running time of the electrochemical energy storage battery until the time t;

[0191] Indicates the initial battery capacity of the electrochemical energy storage battery;

[0192] represents the battery state of charge of the electrochemical energy storage battery at time t, Indicates battery charge status The charge and discharge step coefficient at ;

[0193] Indicates the time attenuation coefficient of battery capacity;

[0194] It indicates the influence factor of the working environment of electrochemical energy storage battery on the formation of solid electrolyte phase boundary film in the battery;

[0195] Indicates the number of cycles of an electrochemical energy storage battery;

[0196] Indicates the battery capacity loss parameter;

[0197] Indicates that the power is adjusted by operation After that, the influence coefficient on battery capacity;

[0198] Indicates the temperature coefficient of battery capacity;

[0199] represents the temperature of the electrochemical energy storage battery at time t, represents the operating power of the electrochemical energy storage battery at time t, A positive value indicates that the electrochemical energy storage battery is in a discharge state. A negative value indicates that the electrochemical energy storage battery is in a charging state;

[0200] Indicates the standard voltage of the power grid. represents the standard internal resistance of the electrochemical energy storage battery, m represents the mass of the electrochemical energy storage battery, c represents the specific heat capacity of the electrochemical energy storage battery, Indicates the length of a charge and discharge cycle. Indicates the normal temperature of an electrochemical energy storage cell;

[0201] Indicates that the power is adjusted by operation Battery temperature index of the electrochemical energy storage battery after the test;

[0202] Indicates that the thermal power unit adopts operation control power After that, the operating cost of thermal power units;

[0203] represents the power regulation cost coefficient of thermal power units, represents the power cost coefficient of thermal power units, Represents the operating power of the thermal power unit at time t;

[0204] represents the importance weight of battery life, Represents the cost importance weight of thermal power units;

[0205] The constraints for constructing the multi-objective fire-storage joint frequency regulation objective function are as follows:

[0206] ;

[0207] in:

[0208] represents the power regulation extreme value of the thermal power unit, Represents the power regulation limit of the electrochemical energy storage battery.

[0209] S3: Optimize and solve the multi-objective fire-storage joint frequency regulation objective function to obtain the optimal regulation parameters.

[0210] In the step S3, the multi-objective fire-storage joint frequency regulation objective function is optimized and solved based on the constraint conditions, including:

[0211] Based on the constraints, the multi-objective thermal storage joint frequency regulation objective function is optimized and solved to obtain the control parameter variables that maximize the service life of the electrochemical energy storage battery and minimize the operating cost of the thermal storage system. The optimization solution process is as follows:

[0212] S31: Initialize the position coordinates of U butterflies, where the position coordinates of the u-th butterfly generated by initialization are :

[0213] L u 0 =( L u 0 (1), L u 0 (2)),u ∈ [1,U] ;

[0214] in:

[0215] Indicates location coordinates The coordinate values ​​in two dimensions, Corresponding to the operating and regulating power of thermal power units, Corresponding to the operation and control power of the electrochemical energy storage battery;

[0216] S32: Set the current iteration number of the butterfly position coordinates to z, and the maximum iteration number to Z. Then the z-th iteration result of the position coordinates of the u-th butterfly is , the initial value of z is 0;

[0217] S33: Based on the constraint conditions and the multi-objective fire storage joint frequency modulation objective function, the fitness function of the position coordinates is constructed, and the position coordinates are used as the input of the fitness function to obtain the fitness function value of the position coordinates, where the position coordinates The fitness function value is :

[0218] H( L u z ) = W 2 [exp( C(time) ∙ F 1 ( L u z (2) ) C 0 )+Temp( L u z (2) )+R( L u z (2) )]- W 1 Cost( L u z (1) )+h( L u z ) ;

[0219] ;

[0220] in:

[0221] Indicates location coordinates The constraint bias term of ;

[0222] S34: The position coordinates of U butterflies obtained in the zth iteration are used as the fitness function The input value of the fitness function is the position coordinate with the largest value as the optimal position coordinate obtained by the zth iteration. ;

[0223] S35: Calculate the position coordinates The probability of conducting a global search , then the position coordinates The probability of conducting a local search is , control position coordinates Perform a global search or a local search to find the position coordinates Iterate

[0224] S36: Set z=z+1, return to step S33, until the maximum number of iterations is reached, and select the position coordinate with the maximum current fitness function value As the optimal control parameter, represents the operation control power of the electrochemical energy storage battery obtained by solving, It represents the operation control power of the thermal power unit obtained by solving.

[0225] The position coordinates are calculated in step S35 The probability of conducting a global search , control position coordinates Perform a global search or a local search to find the position coordinates Iterations include:

[0226] The probability The calculation formula is:

[0227] ;

[0228] The position coordinates The global search formula is:

[0229] L u z+1 = w z A H( L u z ) H( L best z ) ∙[ rand(0,1) ∙ L best z - L u z ]+ L u z ;

[0230] ;

[0231] in:

[0232] Represents a random number between 0 and 1;

[0233] A represents the stimulation intensity of the butterfly scent;

[0234] Represents the iteration weight of the zth iteration of the position coordinate;

[0235] The position coordinates The local search formula is:

[0236] L u z+1 = w z A H( L u z ) H( L best z ) ∙[ rand(0,1) ∙ L rand z - L u z ]+ L u z ;

[0237] in:

[0238] Represents the coordinates of an arbitrary position at the z-th iteration.

[0239] S4: Using optimal control parameters to control the charge and discharge power of the electrochemical energy storage battery.

[0240] In the step S4, the charging and discharging power of the electrochemical energy storage battery is regulated by using the optimal regulation parameters, including:

[0241] Use the optimal control parameters The charge and discharge power of the electrochemical energy storage battery is regulated, and the operating power of the electrochemical energy storage battery at time t is changed from Control to The operating power of the thermal power unit is Control to , realizing automatic control of electrochemical energy storage battery power for combined thermal and energy storage frequency regulation.

[0242] Embodiment 2:

[0243] like Figure 2 As shown, it is a functional module diagram of an electrochemical energy storage battery automatic control system for combined frequency modulation of thermal energy storage provided by an embodiment of the present invention, which can realize the electrochemical energy storage battery automatic control method for combined frequency modulation of thermal energy storage in Example 1.

[0244] The electrochemical energy storage battery automatic control system 100 for combined frequency modulation of thermal energy storage described in the present invention can be installed in an electronic device. According to the functions to be implemented, the electrochemical energy storage battery automatic control system for combined frequency modulation of thermal energy storage can include a thermal energy storage frequency modulation module 101, a multi-objective operation control module 102 and a battery control device 103. The module described in the present invention can also be referred to as a unit, which refers to a series of computer program segments that can be executed by a processor of an electronic device and can complete fixed functions, which are stored in the memory of the electronic device.

[0245] The thermal energy storage frequency regulation module 101 is used to perform time-frequency filtering decomposition on the power grid signal and calculate the power grid frequency deviation, and generate the real-time regulation power of the thermal power unit and the real-time regulation power of the electrochemical energy storage battery according to the power grid frequency deviation;

[0246] The multi-objective operation control module 102 is used to construct a multi-objective thermal-storage joint frequency regulation objective function based on the real-time control power of the thermal power unit and the real-time control power of the electrochemical energy storage battery;

[0247] The battery control device 103 is used to optimize and solve the multi-objective thermal storage joint frequency regulation objective function to obtain the optimal control parameters, and use the optimal control parameters to control the charging and discharging power of the electrochemical energy storage battery.

[0248] In detail, the modules in the electrochemical energy storage battery automatic control system 100 for combined frequency regulation of thermal energy storage described in the embodiment of the present invention are used in the same manner as described above. Figure 1 The same technical means are used as the automatic control method of electrochemical energy storage batteries for combined frequency modulation of thermal storage described in, and can produce the same technical effects, so they will not be repeated here.

[0249] It should be understood that the embodiment is for illustration only and the scope of the patent application is not limited to this structure.

[0250] It should be noted that the serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages and disadvantages of the embodiments. And the terms "including", "comprising" or any other variants thereof in this article are intended to cover non-exclusive inclusion, so that a process, device, article or method including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, device, article or method. In the absence of further restrictions, an element defined by the sentence "including a ..." does not exclude the presence of other identical elements in the process, device, article or method including the element.

[0251] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes a number of instructions for a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present invention.

[0252] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. An automatic control method for electrochemical energy storage batteries for combined frequency modulation of thermal energy storage, characterized in that: The method comprises: S1: Perform time-frequency filtering decomposition on the grid signal and calculate the grid frequency deviation, and generate the real-time control power of the thermal power unit and the real-time control power of the electrochemical energy storage battery according to the grid frequency deviation; S2: Based on the real-time control power of thermal power units and the real-time control power of electrochemical energy storage batteries, a multi-objective thermal-storage joint frequency regulation objective function is constructed; S3: Optimize and solve the multi-objective fire-storage joint frequency regulation objective function to obtain the optimal regulation parameters; S4: Using optimal control parameters to control the charge and discharge power of the electrochemical energy storage battery.

2. The automatic control method of electrochemical energy storage battery for combined frequency modulation of fire and energy storage as claimed in claim 1, characterized in that: The step S1 performs time-frequency filtering decomposition on the power grid signal and calculates the power grid frequency deviation, including: Construct a real-time power grid signal, then the constructed power grid signal at time t is : ； in: represents the power grid signal at time t, Indicates power grid signal The signal value at the nth signal moment in the equation is, and the time interval between adjacent signal moments is , then the signal value For the power grid The current at the moment; Power grid signal Perform time-frequency filtering decomposition and grid frequency deviation calculation: S11: Power grid signal Perform spectrum decomposition calculation based on time frame to obtain power grid signal Spectral values ​​at different spectral points and time frame indices: ； in: Indicates power grid signal The spectrum value at time frame index d and spectrum point number e, , D represents the preset maximum time frame index; represents the scale coefficient; Indicates the spectrum decomposition length, set Len to 6; represents an imaginary unit; represents an exponential function with a natural constant as base; S12: Use a time-frequency filter to perform time-frequency filtering on the spectrum value to obtain the spectrum value after time-frequency filtering, where the spectrum value The time-frequency filtering processing formula is: ； in: represents the time scale coefficient, represents the frequency scale coefficient; Indicates the spectrum value The time-frequency filtering processing result of S13: Convert the spectrum value after time-frequency filtering into the power grid signal after time-frequency filtering decomposition : ； ； in: Indicates power grid signal The signal value at the nth signal moment in ; S14: Calculate the power grid signal The grid frequency is obtained and the grid frequency deviation is calculated.

3. The automatic control method of electrochemical energy storage battery for combined frequency modulation of fire and energy storage as claimed in claim 2, characterized in that: The power grid signal is calculated in step S14 The grid frequency is calculated and the grid frequency deviation is obtained, including: The grid signal The grid frequency is : ； ； in: Indicates power grid signal The maximum number of spectrum points; The grid frequency deviation at time t is calculated: ； in: Indicates the nominal frequency of the power grid; Represents the grid frequency deviation at time t.

4. The automatic control method of electrochemical energy storage battery for combined frequency modulation of fire and energy storage as claimed in claim 3, characterized in that: The method of generating the real-time control power of the thermal power generation unit according to the power grid frequency deviation includes: Generate real-time control power of thermal power units according to grid frequency deviation And real-time power regulation of electrochemical energy storage batteries : ； ； in: Indicates the frequency regulation gain coefficient of the thermal power unit; Represents the frequency modulation gain coefficient of the electrochemical energy storage battery.

5. The automatic control method of electrochemical energy storage battery for combined frequency modulation of fire and energy storage as claimed in claim 4, characterized in that: In the step S2, based on the real-time control power of the thermal power unit and the real-time control power of the electrochemical energy storage battery, a multi-objective thermal-storage joint frequency regulation objective function is constructed, including: Based on the real-time control power of thermal power units and the real-time control power of electrochemical energy storage batteries, a multi-objective thermal-storage joint frequency regulation objective function is constructed. : ； ； ； ； ； ； ； in: Represents the multi-objective fire-storage joint frequency modulation objective function The control parameter variables in Indicates the operating control power of the electrochemical energy storage battery, Indicates the operating and regulating power of thermal power units; It represents the battery capacity of the electrochemical energy storage battery after the running time time, and time represents the running time of the electrochemical energy storage battery until the time t; Indicates the initial battery capacity of the electrochemical energy storage battery; represents the battery state of charge of the electrochemical energy storage battery at time t, Indicates battery charge status The charge and discharge step coefficient at ; Indicates the time attenuation coefficient of battery capacity; It indicates the influence factor of the working environment of electrochemical energy storage battery on the formation of solid electrolyte phase boundary film in the battery; Indicates the number of cycles of an electrochemical energy storage battery; Indicates the battery capacity loss parameter; Indicates that the power is adjusted by operation After that, the influence coefficient on battery capacity; Indicates the temperature coefficient of battery capacity; represents the temperature of the electrochemical energy storage battery at time t, represents the operating power of the electrochemical energy storage battery at time t, A positive value indicates that the electrochemical energy storage battery is in a discharge state. A negative value indicates that the electrochemical energy storage battery is in a charging state; Indicates the standard voltage of the power grid. represents the standard internal resistance of the electrochemical energy storage battery, m represents the mass of the electrochemical energy storage battery, c represents the specific heat capacity of the electrochemical energy storage battery, Indicates the length of a charge and discharge cycle. Indicates the normal temperature of an electrochemical energy storage cell; Indicates that the power is adjusted by operation Battery temperature index of the electrochemical energy storage battery after the test; Indicates that the thermal power unit adopts operation control power After that, the operating cost of thermal power units; represents the power regulation cost coefficient of thermal power units, represents the power cost coefficient of thermal power units, Represents the operating power of the thermal power unit at time t; represents the importance weight of battery life, Represents the cost importance weight of thermal power units; The constraints for constructing the multi-objective fire-storage joint frequency regulation objective function are as follows: ； in: represents the power regulation extreme value of the thermal power unit, Represents the power regulation limit of the electrochemical energy storage battery.

6. The automatic control method of electrochemical energy storage battery for combined frequency modulation of fire and energy storage as claimed in claim 5, characterized in that: The S3 step includes: Based on the constraints, the multi-objective thermal storage joint frequency regulation objective function is optimized and solved to obtain the control parameter variables that maximize the service life of the electrochemical energy storage battery and minimize the operating cost of the thermal storage system. The optimization solution process is as follows: S31: Initialize the position coordinates of U butterflies, where the position coordinates of the u-th butterfly generated by initialization are : ； in: Indicates location coordinates The coordinate values ​​in two dimensions, Corresponding to the operating control power of thermal power units, Corresponding to the operation and control power of the electrochemical energy storage battery; S32: Set the current iteration number of the butterfly position coordinates to z, and the maximum iteration number to Z. Then the z-th iteration result of the position coordinates of the u-th butterfly is , the initial value of z is 0; S33: Based on the constraint conditions and the multi-objective fire storage joint frequency modulation objective function, the fitness function of the position coordinates is constructed, and the position coordinates are used as the input of the fitness function to obtain the fitness function value of the position coordinates, where the position coordinates The fitness function value is : ； ； in: Indicates location coordinates The constraint bias term of ; S34: The position coordinates of U butterflies obtained in the zth iteration are used as the fitness function The input value of the fitness function is the position coordinate with the largest value as the optimal position coordinate obtained by the zth iteration. ; S35: Calculate the position coordinates The probability of conducting a global search , then the position coordinates The probability of conducting a local search is , control position coordinates Perform a global search or a local search to find the position coordinates Iterate S36: Set z=z+1, return to step S33, until the maximum number of iterations is reached, and select the position coordinate with the maximum current fitness function value As the optimal control parameter, represents the operation control power of the electrochemical energy storage battery obtained by solving, It represents the operation control power of the thermal power unit obtained by solving.

7. The automatic control method of electrochemical energy storage battery for combined frequency modulation of fire and energy storage as claimed in claim 6, characterized in that: The position coordinates are calculated in step S35 The probability of conducting a global search , control position coordinates Perform a global search or a local search to find the position coordinates Iterations include: The probability The calculation formula is: ； The position coordinates The global search formula is: ； ； in: Represents a random number between 0 and 1; A represents the stimulation intensity of the butterfly scent; Represents the iteration weight of the zth iteration of the position coordinate; The position coordinates The local search formula is: ； in: Represents the coordinates of an arbitrary position at the z-th iteration.

8. The automatic control method of electrochemical energy storage battery for combined frequency modulation of thermal energy storage as claimed in claim 1, characterized in that: In the step S4, the charging and discharging power of the electrochemical energy storage battery is regulated by using the optimal regulation parameters, including: Use the optimal control parameters The charge and discharge power of the electrochemical energy storage battery is regulated, and the operating power of the electrochemical energy storage battery at time t is changed from Control to The operating power of the thermal power unit is Control to .

9. An automatic control system for electrochemical energy storage batteries for combined frequency modulation of thermal energy storage, characterized in that: The system comprises: The thermal energy storage frequency regulation module is used to perform time-frequency filtering decomposition on the power grid signal and calculate the power grid frequency deviation, and generate the real-time regulation power of the thermal power unit and the real-time regulation power of the electrochemical energy storage battery according to the power grid frequency deviation; The multi-objective operation and control module is used to construct a multi-objective thermal-storage joint frequency regulation objective function based on the real-time control power of the thermal power unit and the real-time control power of the electrochemical energy storage battery; The battery control device is used to optimize and solve the multi-objective thermal storage joint frequency regulation objective function, obtain the optimal control parameters, and use the optimal control parameters to control the charge and discharge power of the electrochemical energy storage battery; To realize an automatic control method of an electrochemical energy storage battery for combined frequency modulation of thermal energy storage as described in any one of claims 1-8.

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