Generator power adaptive regulation system and method based on energy storage change

Abstract

The present invention relates to the technical field of circuit power distribution regulation, and discloses a generator power generation power adaptive regulation system and method based on energy storage changes. The system includes a basic parameter processing module for generator power generation power, an analysis module for generator power generation power, and a regulation module for generator power generation power; by performing data noise reduction preprocessing on the collected real-time demand power of the circuit, the accuracy and authenticity of the real-time demand power data collection of the circuit are improved; based on the real-time energy storage amount and the real-time demand power parameters of the circuit, combined with an intelligent recognition algorithm and the preset standard power generation power parameters of the generator in different scenarios, numerical analysis is carried out to accurately calculate the optimal real-time power generation power of the generator under different real-time energy storage amounts and the real-time generator state of the circuit, realize the adaptive regulation of the generator power generation power in multiple working condition scenarios, and improve the accuracy and stability of the power supply regulation of the power supply circuit at the output end of the generator.

Description

Technical Field

[0001] The present invention relates to the technical field of circuit power distribution regulation, and specifically to a generator power generation power adaptive regulation system and method based on energy storage changes. Background Art

[0002] A generator refers to a mechanical device that converts mechanical energy into electrical energy. In production and life, the use of a generator can timely adjust the normal operation of the power distribution circuit system in the emergency state of a circuit fault; there are many forms of generators, but their working principles are all based on the law of electromagnetic induction and the law of electromagnetic force. Therefore, the general principle of its structure is: use appropriate magnetic conductive and conductive materials to form a magnetic circuit and an electric circuit that mutually perform electromagnetic induction to generate electromagnetic power and achieve the purpose of energy conversion. However, the existing generators cannot dynamically and accurately adjust the power generation power of the generator based on the energy storage amount and the power demand of the circuit, reducing the power generation adjustment accuracy of the generator and the operation stability of the power supply circuit at the output end of the generator.

[0003] The Chinese patent application with the publication number CN116742722A discloses a power regulation optimization method, system and terminal for an energy storage virtual synchronous generator; by collecting real-time load power, real-time power generation power, and actual remaining capacity parameters and realizing the autonomous statistics of the constant power generation power of a traditional synchronous generator in the next regulation period; scientifically measuring the total regulation power parameters of the energy storage unit through the VSG control algorithm; scientifically distributing the actual regulation power of each energy storage unit in combination with the real-time power generation power and the actual remaining capacity parameters. However, the above technical solutions cannot synchronously and intelligently set the power generation power of the generator in real time based on the energy storage change amount and the actual power demand parameters of the circuit load end, reducing the response flexibility and operation stability of the power distribution circuit system. Summary of the Invention

[0004] (I) Technical Problems to be Solved

[0005] To solve the above problem that the existing generators cannot dynamically and accurately adjust the power generation power of the generator based on the energy storage amount and the power demand of the circuit, reducing the power generation adjustment accuracy of the generator and the operation stability of the generator power distribution circuit, and to achieve the above purposes of real-time collecting power generation energy information parameters and circuit power demand parameters, scientifically counting the electric energy storage amount converted from power generation energy, accurately calculating the power generation power of the generator, dynamically and intelligently adjusting the power generation power of the generator, and improving the accuracy and stability of the power supply regulation of the power supply circuit at the output end of the generator.

[0006] (II) Technical Solutions

[0007] The present invention is achieved through the following technical solutions: A method for adaptively regulating the power generation power of a generator based on energy storage changes, the method comprising the following steps:

[0008] S1. Collect power generation energy characteristic data and real-time circuit demand power data;

[0009] S2. Based on the power generation energy characteristic data and the power conversion rate data of the power generation energy, perform power conversion rate identification processing on the power generation energy to generate specific power conversion rate data of the power generation energy;

[0010] S3. Based on the specific power conversion rate data of the power generation energy and the power generation energy characteristic data, perform numerical processing on the power storage amount to construct real-time power storage amount data;

[0011] S4. Perform data preprocessing on the real-time circuit demand power data to generate standard real-time circuit demand power data;

[0012] S5. Based on the real-time power storage amount data, the standard real-time circuit demand power data, and the standard power generation power data of generators in different scenarios, perform real-time output power analysis of the generators to generate and output real-time power generation power data of the generators;

[0013] S6. According to the real-time power generation power data of the generators and the power generation power execution instructions of different generators, perform data processing on the power generation power execution instructions of the generators to generate real-time power generation power execution instructions of the generators;

[0014] S7. Control the generators to perform power generation power adjustment operations according to the real-time power generation power execution instructions of the generators.

[0015] Preferably, the operation steps of collecting the power generation energy characteristic data and the real-time circuit demand power data are as follows:

[0016] S11. The material management platform online collects energy characteristic information for the power generation operation of the generators and generates power generation energy characteristic data , the power generation energy characteristic data includes power generation energy type data and power generation energy quality data, the power generation energy type data includes any one of coal, natural gas, gasoline, and diesel, and the unit of the power generation energy quality data is kilograms;

[0017] Online measure the circuit demand power data in the distribution line connected to the output end of the generator through a circuit power meter and generate real-time circuit demand power data .

[0018] The present invention realizes dynamic and accurate collection of the power generation energy type, quality parameters, and demand power parameters of the distribution line by adopting a material management platform and a circuit power meter, achieving the effect of efficient and reliable collection of the power generation energy type, quality parameters, and demand power parameters of the distribution line.

[0019] Preferably, the operation steps for identifying the power conversion efficiency of the power generation energy based on the power generation energy characteristic data and the power generation energy power conversion efficiency data to generate the specific power conversion efficiency data of the power generation energy are as follows:

[0020] S21. Establish a power generation energy power conversion efficiency data set , ; where represents the power generation energy power conversion efficiency data corresponding to the th type of power generation energy, represents the maximum value of the number of power generation energy types, and the power generation energy power conversion efficiency data represents the amount of electric energy converted from the mass of unit power generation energy;

[0021] S22. Use the K-D tree nearest neighbor search algorithm to match the power generation energy characteristic data with the power generation energy power conversion efficiency data in the power generation energy power conversion efficiency data set according to the power generation energy type keywords, identify the power generation energy power conversion efficiency data corresponding to the power generation energy characteristic data and mark and generate the specific power conversion efficiency data of the power generation energy .

[0022] The present invention generates specific power conversion efficiency parameters of power generation energy by intelligently classifying and identifying the power conversion efficiency of specific power generation energy types, achieving the effect of scientifically and accurately screening the power conversion efficiency of power generation energy.

[0023] Preferably, the operation steps for performing numerical processing on the power storage amount based on the specific power conversion efficiency data of the power generation energy and the power generation energy characteristic data to construct real-time power storage amount data are as follows:

[0024] S31. Perform numerical multiplication processing on the power generation energy mass data in the power generation energy characteristic data and the specific power conversion efficiency data of the power generation energy to measure the amount of electric energy converted from the power generation energy mass data according to for power generation energy conversion into stored electric energy, and construct real-time power storage amount data , and the unit of

[0025] is kilowatt-hour.

[0026] The present invention generates real-time power storage amount parameters by combining numerical processing based on the specific power conversion efficiency data of power generation energy and power generation energy characteristic parameters, achieving the effect of scientifically measuring the real-time power storage amount of power generation energy.

[0026] Preferably, the operation steps for preprocessing the real-time demand power data of the circuit to generate standard real-time demand power data of the circuit are as follows:

[0027] S41. When the real-time power storage data is completed, the wavelet transform method is used to preprocess the noise reduction of the real-time demand power data of the circuit and generate standard real-time demand power data of the circuit .

[0028] The present invention preprocesses the noise reduction of the collected real-time demand power of the circuit by the wavelet transform method, achieving the effect of improving the accuracy and authenticity of the real-time demand power data collection of the circuit.

[0029] Preferably, based on the real-time power storage data, the standard real-time demand power data of the circuit, and the standard power generation power data of the generator in different scenarios, the operation steps for analyzing the real-time output power of the generator, generating real-time power generation power data of the generator, and outputting are as follows:

[0030] S51. Establish a standard power generation power data set of generators in different scenarios , , ; where represents the standard power generation power data of the generator in different scenarios corresponding to the th state of real-time power storage and the th state of real-time demand power of the circuit, represents the maximum value of the number of states of real-time power storage, represents the maximum value of the number of states of real-time demand power of the circuit; the standard power generation power data of the generator in different scenarios represents the optimal power generation power data of the generator under different states of real-time power storage and real-time demand power of the circuit, and the unit of

[0031] is kilowatt; S52. Use a data recognition algorithm to compare the real-time power storage data and the standard real-time demand power data of the circuit with the standard power generation power data of the generator in different scenarios in the set of the standard power generation power data of the generator in different scenarios, and search for the and corresponding to the standard power generation power data of the generator in different scenarios . The specific operation steps for searching for the standard power generation power data of the generator in different scenarios are as follows:

[0032] S521. Initialize parameters, and update the number of crows in the power search population, the maximum number of iterations, and the flight distance ;

[0033] S522. Initialize the initial positions and memories of the power search crow individuals in the set of standard power generation data of generators in different scenarios in the search space. Only the power search crow individuals are randomly distributed in a multi-dimensional search space, that is, the power search crow individuals are randomly distributed in a search space with a dimensionality of the set of standard power generation data of generators in different scenarios in the search space; in the first iteration, assume that the power search crow individuals hide food at the initial positions; that is, in the first iteration, assume that the power search crow individuals store the real-time electric energy storage data and the real-time demand power data of the standard circuit are matched with the standard power generation data of generators in different scenarios at the initial positions in the search space of the standard power generation data of generators in different scenarios ;

[0034] S523. Calculate the fitness value of each power search crow individual, that is, calculate the fitness value of the real-time electric energy storage data and the real-time demand power data of the standard circuit with the standard power generation data of generators in different scenarios in the search space of the standard power generation data of generators in different scenarios ;

[0035] S524. Update the positions of the power search crow individuals in the search space of the standard power generation data of generators in different scenarios. The position update formula of the power search crow individuals is as follows: where represents the new position of the power search crow individual in the search space of the standard power generation data of generators in different scenarios at the -th iteration, represents the position of the power search crow individual in the search space of the standard power generation data of generators in different scenarios at the -th iteration, represents the position of the power search crow individual in the search space of the standard power generation data of generators in different scenarios at the -th iteration, represents a random number uniformly distributed between [0, 1], represents the -th iteration of the power search crow individual Generator standard power generation data sets in different scenarios Flight distance in the search space Indicating the Power search crow individual at the Generator standard power generation data sets in different scenarios Food hiding position in the search space, i.e., the Power search crow individual at the Generator standard power generation data sets in different scenarios Search in the search space for different scenario generator standard power generation data that matches the real-time power storage data And the real-time required power data of the standard circuit The position of the different scenario generator standard power generation data that matches ;

[0036] S525. Judge the feasibility of the new position, and judge the feasibility of the new position of each power search crow individual; if the new position of the power search crow individual is feasible, the power search crow individual will update its position, that is, search in the generator standard power generation data sets in different scenarios For different scenario generator standard power generation data that matches the real-time power storage data And the real-time required power data of the standard circuit The power search crow individual will update to the position of the different scenario generator standard power generation data that matches successfully ; otherwise, the power search crow individual stays at the current position and will not move to the new position;

[0037] S526. Evaluate the fitness value of the new position, calculate the fitness value of the new position of each power search crow individual, that is, calculate the fitness value of the real-time power storage data In the search space and the real-time required power data of the standard circuit And the different scenario generator standard power generation data of the new position ;

[0038] S527. Update the memory. If the fitness value of the new position of the power search crow is greater than the fitness value of the initial position in the memory, the power search crow updates its memory through the new position, otherwise it does not update its memory; that is, search in the generator standard power generation data sets in different scenarios For different scenario generator standard power generation data that matches the real-time power storage data And the real-time required power data of the standard circuit ​​Standard power generation power data of generators in different scenarios with the largest fitness value ;

[0039] S528. When the maximum number of iterations is satisfied, output the standard power generation power data of generators in different scenarios ;

[0040] S53. The standard power generation power data of generators in different scenarios output in step S528 Generate real-time power generation power data of generators through data identification And output, The unit is kilowatt.

[0041] Through numerical analysis based on the real-time electricity storage amount, the real-time demand power parameter of the circuit, combined with the crow optimization algorithm and the preset standard power generation power parameters of generators in different scenarios, the present invention achieves the effect of scientifically calculating the optimal real-time power generation power of generators in different states of real-time electricity storage amounts and in the state of real-time generators of circuits.

[0042] Preferably, according to the real-time power generation power data of the generator and different generator power generation execution instructions, the operation steps for processing the generator power generation execution instruction data to generate the real-time power generation execution instruction of the generator are as follows:

[0043] S61. Establish a set of different generator power generation execution instructions , ; Wherein Represents the th different generator power generation execution instruction corresponding to the generator power generation value, Represents the maximum value of the number of types of generator power generation values, and the different generator power generation execution instructions represent program control instructions for controlling the generator to execute different power generations;

[0044] S62. Use the uniform cost search algorithm to match the real-time power generation power data of the generator According to the magnitude of the power generation value with the different generator power generation execution instructions in the set of different generator power generation execution instructions In the different generator power generation execution instructions For matching, search for the different generator power generation execution instructions corresponding to the real-time power generation power data of the generator And identify and generate the real-time power generation execution instruction of the generator 。 。

[0045] The present invention realizes the efficient and intelligent conversion of the real-time power generation power parameters of the generator into the execution instructions for regulating the power generation power of the generator, achieving the effect of dynamically and efficiently converting the real-time power generation power data of the generator and the real-time power regulation instructions for power generation.

[0046] Preferably, the operation steps of controlling the generator to perform the power generation power regulation operation according to the real-time power generation power execution instruction of the generator are as follows:

[0047] S71. Import the real-time power generation power execution instruction of the generator into the generator control end through the Internet of Things communication network, and the generator control end controls the generator to perform the power generation power regulation operation according to the real-time power generation power execution instruction of the generator. Control the generator to perform the power generation power regulation operation.

[0048] The present invention independently and precisely controls the generator to perform the power generation power regulation operation through the real-time power generation power execution instruction of the generator, achieving the effects of improving the efficiency and safety of the power generation power regulation of the generator.

[0049] A generator power generation power adaptive regulation system based on energy storage change is used to implement the generator power generation power adaptive regulation method based on energy storage change. The system includes a generator power generation power basic parameter processing module, a generator power generation power analysis module, and a generator power generation power regulation module;

[0050] The generator power generation power basic parameter processing module includes a power generation energy characteristic acquisition unit, a circuit demand power acquisition unit, a power generation energy power conversion rate storage unit, a power generation energy power conversion rate selection unit, and an electric energy real-time storage amount measurement unit;

[0051] The power generation energy characteristic acquisition unit acquires power generation energy characteristic data through a material management platform; the circuit demand power acquisition unit acquires real-time circuit demand power data through a circuit power meter; the power generation energy power conversion rate storage unit is used to store power generation energy power conversion rate data; the power generation energy power conversion rate selection unit performs power generation energy power conversion rate identification processing based on the power generation energy characteristic data and the power generation energy power conversion rate data to generate specific power generation energy power conversion rate data; the electric energy real-time storage amount measurement unit performs electric energy storage amount numerical processing based on the specific power generation energy power conversion rate data and the power generation energy characteristic data to construct electric energy real-time storage amount data;

[0052] The generator power generation power analysis module includes a circuit demand power preprocessing unit, a generator standard power generation power storage unit for different scenarios, a generator real-time power generation power analysis unit, and a generator real-time power generation power output unit;

[0053] The circuit demand power preprocessing unit preprocesses the real-time demand power data of the circuit to generate standard circuit real-time demand power data; the standard power generation power storage unit for generators in different scenarios is used to store the standard power generation power data of generators in different scenarios; the real-time power generation power analysis unit of the generator performs real-time output power analysis of the generator based on the real-time power storage amount data, the standard circuit real-time demand power data, and the standard power generation power data of generators in different scenarios to generate real-time power generation power data of the generator; the real-time power generation power output unit of the generator is used to output the real-time power generation power data of the generator.

[0054] The power generation power analysis module of the generator includes an execution instruction storage unit for the power generation power of different generators, a real-time power generation power instruction generation unit of the generator, and an execution unit for adjusting the power generation power of the generator.

[0055] The execution instruction storage unit for the power generation power of different generators is used to store the execution instructions for the power generation power of different generators; the real-time power generation power instruction generation unit of the generator processes the execution instruction data of the power generation power according to the real-time power generation power data of the generator and the execution instructions for the power generation power of different generators to generate real-time execution instructions for the power generation power of the generator; the execution unit for adjusting the power generation power of the generator controls the generator to perform the operation of adjusting the power generation power according to the real-time execution instructions for the power generation power of the generator.

[0056] (III) Beneficial effects

[0057] The present invention provides a self-adaptive adjustment system and method for the power generation power of a generator based on energy storage changes. The following beneficial effects are achieved:

[0058] First, through the mutual cooperation of the power generation energy characteristic acquisition unit and the circuit demand power acquisition unit, the material management platform and the circuit power meter are used to dynamically and accurately collect the power generation energy type, quality parameters, and the demand power parameters of the distribution line; the power generation energy power conversion rate selection unit intelligently classifies and identifies the power generation energy power conversion rate of a specific power generation energy type to scientifically and accurately screen the power generation energy power conversion rate; the real-time power storage amount measurement unit of the electric energy, based on the specific power conversion rate data of the power generation energy and the combined numerical processing of the power generation energy characteristic parameters, realizes the scientific measurement of the real-time power storage amount of the power generation energy.

[0059] Second, through the circuit demand power preprocessing unit, data denoising preprocessing is performed on the collected real-time circuit demand power to improve the accuracy and authenticity of the real-time circuit demand power data collection; the real-time generator power analysis unit performs numerical analysis based on the real-time energy storage amount, real-time circuit demand power parameters, combined with intelligent recognition algorithms and preset standard generator power parameters for different scenarios, to accurately calculate the optimal real-time generator power under different real-time energy storage states and real-time circuit generator states, realize the adaptive adjustment of the generator power under multi-condition scenarios, and improve the accuracy and stability of the power supply adjustment of the power supply circuit at the generator output end.

[0060] Third, through the real-time generator power command generation unit, the real-time generator power parameters are efficiently and intelligently converted into generator power adjustment execution commands, realizing the dynamic and efficient conversion of real-time generator power data and real-time power adjustment commands, and improving the control efficiency of generator power adjustment; the generator power adjustment execution unit independently and accurately controls the generator to execute the power adjustment operation based on the real-time generator power execution command, improving the efficiency and safety of generator power adjustment. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 It is a schematic diagram of the modules of the generator power adaptive adjustment system based on energy storage change provided by the present invention;

[0062] Figure 2 It is a flowchart of the generator power adaptive adjustment method based on energy storage change provided by the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0063] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0064] The embodiments of the generator power adaptive adjustment system and method based on energy storage change are as follows: Embodiment

[0065] Please refer to Figure 1 - Figure 2 , a generator power adaptive adjustment method based on energy storage change, the method includes the following steps:

[0066] S1. Collect power generation energy characteristic data and real-time circuit demand power data;

[0067] S2. Identify the power conversion rate of the power generation energy based on the power generation energy characteristic data and the power generation energy power conversion rate data, and generate the specific power conversion rate data of the power generation energy;

[0068] S3. Perform numerical processing on the power storage amount based on the specific power conversion rate data of the power generation energy and the power generation energy characteristic data, and construct the real-time power storage amount data;

[0069] S4. Preprocess the real-time circuit demand power data to generate the standard real-time circuit demand power data;

[0070] S5. Analyze the real-time output power of the generator based on the real-time power storage amount data, the standard real-time circuit demand power data, and the standard power generation power data of the generator in different scenarios, generate the real-time power generation power data of the generator and output it;

[0071] S6. Process the power generation power execution instruction data of the generator according to the real-time power generation power data of the generator and the power generation power execution instructions of different generators, and generate the real-time power generation power execution instruction of the generator;

[0072] S7. Control the generator to perform the power generation power adjustment operation according to the real-time power generation power execution instruction of the generator.

[0073] Further, please refer to Figure 1 - Figure 2 , the operation steps for collecting the power generation energy characteristic data and the real-time circuit demand power data are as follows:

[0074] S11. The material management platform online collects the energy characteristic information for the generator's power generation operation and generates the power generation energy characteristic data , the power generation energy characteristic data includes the power generation energy type data and the power generation energy quality data, the power generation energy type data includes any one of coal, natural gas, gasoline, and diesel, and the unit of the power generation energy quality data is kilograms;

[0075] Online measure the circuit demand power data in the distribution line connected to the generator output terminal through a circuit power meter and generate the real-time circuit demand power data .

[0076] The operation steps for identifying the power conversion rate of the power generation energy based on the power generation energy characteristic data and the power generation energy power conversion rate data to generate the specific power conversion rate data of the power generation energy are as follows:

[0077] S21. Establish a power generation energy power conversion rate data set , ; where represents the power generation energy power conversion rate data corresponding to the th type of power generation energy, Represents the maximum value of the number of types of power generation energy sources. The power conversion rate data of the power generation energy source represents the amount of electric energy converted from the mass of a unit of power generation energy source.

[0078] S22. Use the K-D tree nearest neighbor search algorithm to process the power generation energy source characteristic data and the power conversion rate data set of the power generation energy source in the power conversion rate data of the power generation energy source Match according to the keywords of the power generation energy source type, and identify the power conversion rate data of the power generation energy source corresponding to the power generation energy source characteristic data and mark and generate the specific power conversion rate data of the power generation energy source

[0079] Based on the specific power conversion rate data of the power generation energy source and the power generation energy source characteristic data, perform numerical processing on the power storage capacity value, and construct the real-time power storage capacity data; the operation steps are as follows:

[0080] S31. Multiply the power generation energy source mass data in the power generation energy source characteristic data by the specific power conversion rate data of the power generation energy source to measure the amount of electric energy converted from the power generation energy source mass data according to and construct the real-time power storage capacity data The unit is kilowatt-hour.

[0081] Through the cooperation of the power generation energy source characteristic acquisition unit and the circuit demand power acquisition unit, use the material management platform and the circuit power meter to dynamically and accurately collect the power generation energy source type, quality parameters, and the demand power parameters of the distribution line; the power generation energy source power conversion rate selection unit intelligently classifies and identifies the power conversion rate of the specific power generation energy source type to achieve scientific and accurate screening of the power conversion rate of the power generation energy source; the real-time power storage capacity measurement unit, based on the specific power conversion rate data of the power generation energy source and the power generation energy source characteristic parameters combined with numerical processing, realizes scientific measurement of the real-time power storage capacity of the power generation energy source.

[0082] Furthermore, please refer to Figure 1 - Figure 2 for the operation steps of preprocessing the circuit real-time demand power data to generate the standard circuit real-time demand power data as follows:

[0083] S41. When the real-time power storage capacity data is constructed, use the wavelet transform method to preprocess the circuit real-time demand power data for data noise reduction and generate the standard circuit real-time demand power data ​​​​

[0084] Based on the real-time electricity storage data, the real-time demand power data of the standard circuit, and the standard power generation power data of the generator under different scenarios, the operation steps for analyzing the real-time output power of the generator, generating the real-time power generation power data of the generator, and outputting are as follows:

[0085] S51. Establish a dataset of the standard power generation power of the generator under different scenarios , , ; where represents the standard power generation power data of the generator under different scenarios corresponding to the th state of the real-time electricity storage and the th state of the real-time demand power of the circuit, represents the maximum value of the number of states of the real-time electricity storage, represents the maximum value of the number of states of the real-time demand power of the circuit; the standard power generation power data of the generator under different scenarios represents the optimal power generation power data of the generator under different states of the real-time electricity storage and the real-time demand power of the circuit, and the unit of

[0086] is kilowatt; S52. Use a data recognition algorithm to match the real-time electricity storage data and the real-time demand power data of the standard circuit with the standard power generation power data of the generator under different scenarios in the set of the standard power generation power data of the generator under different scenarios, and search for and corresponding to the standard power generation power data of the generator under different scenarios . The specific operation steps for searching for the standard power generation power data of the generator under different scenarios are as follows:

[0087] S521. Initialize the parameters, update the number of the crow population for power search, the maximum number of iterations, and the flight distance ;

[0088] S522. Initialize the initial position and memory of the crow individual for power search in the search space of the set of the standard power generation power data of the generator under different scenarios, and only the crow individuals for power search are randomly distributed in a multi-dimensional search space, that is, the crow individuals for power search are randomly distributed in a search space with a dimension of of the set In the search space; in the first iteration, it is assumed that the power search crow individual hides food at the initial position; that is, in the first iteration, it is assumed that the power search crow individual stores the real-time power storage data and the real-time demand power data of the standard circuit are matched with the set of standard power generation power data of generators in different scenarios in the initial position in the search space, that is, the standard power generation power data of generators in different scenarios in the search space;

[0089] S523. Calculate the fitness value of each power search crow individual, that is, calculate the real-time power storage data and the real-time demand power data of the standard circuit are matched with the set of standard power generation power data of generators in different scenarios in the search space, that is, the standard power generation power data of generators in different scenarios in the search space;

[0090] S524. Update the position of the power search crow individual in the set of standard power generation power data of generators in different scenarios in the search space. The position update formula of the power search crow individual is as follows: , where represents the th iteration of the power search crow individual in the set of standard power generation power data of generators in different scenarios in the search space, represents the th iteration of the power search crow individual in the set of standard power generation power data of generators in different scenarios in the search space, represents a random number uniformly distributed between [0, 1], represents the th iteration of the power search crow individual in the set of standard power generation power data of generators in different scenarios in the search space, represents the th iteration of the power search crow individual in the set of standard power generation power data of generators in different scenarios in the search space, that is, the food hiding position of the th iteration of the power search crow individual in the set of standard power generation power data of generators in different scenarios in the search space, that is, the standard power generation power data of generators in different scenarios searched in the search space that is matched with the real-time power storage data Standard power generation power data of generators for different scenarios that match Position;

[0091] S525. Judge the feasibility of the new position, and judge the feasibility of the new position of each power search crow individual; if the new position of the power search crow individual is feasible, the power search crow individual will update its position, that is, search in the set of standard power generation power data of generators for different scenarios for the real-time electric energy storage data and the standard real-time demand power data of the circuit Standard power generation power data of generators for different scenarios that match , and the power search crow individual is updated to the position of the standard power generation power data of generators for different scenarios where the match is successful ; otherwise, the power search crow individual stays at the current position and will not move to a new position;

[0092] S526. Evaluate the fitness value of the new position, and calculate the fitness value of the new position of each power search crow individual, that is, calculate the fitness value of the real-time electric energy storage data in the search space of the set of standard power generation power data of generators for different scenarios and the standard real-time demand power data of the circuit and the standard power generation power data of generators for different scenarios at the new position ;

[0093] S527. Update the memory. If the fitness value of the new position of the power search crow is greater than the fitness value of the initial position in the memory, the power search crow updates its memory through the new position, otherwise it does not update its memory; that is, search in the set of standard power generation power data of generators for different scenarios for the standard power generation power data of generators for different scenarios with the maximum fitness value of the real-time electric energy storage data and the standard real-time demand power data of the circuit ; ;

[0094] S528. When the maximum number of iterations is reached, output the standard power generation power data of generators for different scenarios ;

[0095] S53. Generate generator real-time power generation power data from the standard power generation power data of generators for different scenarios output in step S528 and output it The unit is kilowatt.

[0096] Through the circuit demand power preprocessing unit, data noise reduction preprocessing is performed on the collected real-time circuit demand power, improving the accuracy and authenticity of the real-time circuit demand power data acquisition; the real-time generator power analysis unit performs numerical analysis based on the real-time power storage, real-time circuit demand power parameters, combined with an intelligent recognition algorithm and preset standard generator power parameters for different scenarios, to accurately calculate the optimal real-time generator power under different real-time power storage states and real-time generator states of the circuit, achieving adaptive adjustment of the generator power under multiple working conditions, and improving the accuracy and stability of the power supply regulation of the power supply circuit at the generator output end.

[0097] Further, please refer to Figure 1 - Figure 2 According to the real-time generator power data and different generator power execution instructions, the data processing of the generator power execution instructions is carried out, and the operation steps for generating the real-time generator power execution instructions are as follows:

[0098] S61. Establish a set of different generator power execution instructions , ; where represents the different generator power execution instructions corresponding to the th generator power value, represents the maximum value of the number of types of generator power values, and the different generator power execution instructions represent program control instructions for controlling the generator to execute different powers;

[0099] S62. Use the uniform cost search algorithm to match the real-time generator power data with the different generator power execution instructions in the set of different generator power execution instructions according to the magnitude of the power value, search for the different generator power execution instructions corresponding to the real-time generator power data and mark and generate the real-time generator power execution instruction . .

[0100] The operation steps for controlling the generator to execute the power adjustment operation according to the real-time generator power execution instruction are as follows:

[0101] S71. Import the real-time generator power execution instruction into the generator control end through the Internet of Things communication network, and the generator control end controls the generator to execute the power adjustment operation according to the real-time generator power execution instruction .

[0102] Through the real-time power generation power command generation unit of the generator, the real-time power generation power parameters of the generator are efficiently and intelligently converted into the execution command for adjusting the power generation power of the generator, realizing the dynamic and efficient conversion of the real-time power generation power data of the generator and the real-time power adjustment command, and improving the control efficiency of the generator power adjustment; the generator power adjustment execution unit autonomously and accurately controls the generator to perform the power generation power adjustment operation based on the real-time power generation power execution command of the generator, improving the efficiency and safety of the generator power adjustment.

[0103] Embodiment 2:

[0104] Please refer to Figure 1 - Figure 2 , a generator power generation power adaptive adjustment system based on energy storage change, which is used to realize the method for adaptively adjusting the generator power generation power based on energy storage change. The system includes a basic parameter processing module for generator power generation power, an analysis module for generator power generation power, and a regulation and control module for generator power generation power;

[0105] The basic parameter processing module for generator power generation power includes a power generation energy characteristic acquisition unit, a circuit demand power acquisition unit, a power generation energy power conversion rate storage unit, a power generation energy power conversion rate selection unit, and a real-time power storage amount measurement unit;

[0106] The power generation energy characteristic acquisition unit acquires the power generation energy characteristic data through the material management platform; the circuit demand power acquisition unit acquires the real-time circuit demand power data through the circuit power meter; the power generation energy power conversion rate storage unit is used to store the power generation energy power conversion rate data; the power generation energy power conversion rate selection unit performs the identification process of the power conversion rate of the power generation energy according to the power generation energy characteristic data and the power generation energy power conversion rate data to generate the specific power conversion rate data of the power generation energy; the real-time power storage amount measurement unit performs the numerical processing of the power storage amount based on the specific power conversion rate data of the power generation energy and the power generation energy characteristic data to construct the real-time power storage amount data;

[0107] The analysis module for generator power generation power includes a circuit demand power preprocessing unit, a standard power generation power storage unit for generators in different scenarios, a real-time power generation power analysis unit for generators, and a real-time power generation power output unit for generators;

[0108] The circuit demand power preprocessing unit preprocesses the real-time circuit demand power data to generate standard real-time circuit demand power data; the standard power generation power storage unit for generators in different scenarios is used to store the standard power generation power data of generators in different scenarios; the real-time power generation power analysis unit of the generator performs real-time output power analysis of the generator based on the real-time power storage amount data, the standard real-time circuit demand power data, and the standard power generation power data of generators in different scenarios, and generates real-time power generation power data of the generator; the real-time power generation power output unit of the generator is used to output the real-time power generation power data of the generator;

[0109] The power generation power analysis module of the generator includes a storage unit for execution instructions of power generation power of different generators, a real-time power generation power instruction generation unit of the generator, and an execution unit for adjusting the power generation power of the generator;

[0110] The storage unit for execution instructions of power generation power of different generators is used to store the execution instructions of power generation power of different generators; the real-time power generation power instruction generation unit of the generator processes the execution instruction data of the power generation power according to the real-time power generation power data of the generator and the execution instructions of power generation power of different generators, and generates the real-time power generation power execution instruction; the execution unit for adjusting the power generation power of the generator controls the generator to perform the power generation power adjustment operation according to the real-time power generation power execution instruction.

[0111] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for adaptively adjusting the power generation of a generator based on energy storage changes, characterized in that: The method comprises the following steps: S1. Collect power generation energy characteristic data and circuit real-time demand power data ; S2. Performing an identification process on the electric energy conversion rate of the power generation energy according to the power generation energy characteristic data and the power generation energy electric energy conversion rate data, and generating specific electric energy conversion rate data of the power generation energy; S3: Based on the specific power conversion rate data of the power generation energy and the characteristic data of the power generation energy, the power storage amount is numerically processed to construct real-time power storage amount data. ; S4. Perform data preprocessing to generate real-time power demand data for standard circuits ; The S4 comprises the following steps: S41, when the When the construction is completed, the wavelet transform method is used to Perform data denoising preprocessing and generate ; S5. Based on the , Analyze the real-time output power of the generator with the standard power data of the generator in different scenarios to generate the real-time power data of the generator And output; The S5 comprises the following steps: S51. Establishing a data set of standard power generation of generators in different scenarios , , ;in Indicates The real-time storage status of the electric energy and The standard power generation data of generators in different scenarios corresponding to the real-time power demand state of various circuits, Indicates the maximum value of the real-time storage state of electric energy. Indicates the maximum value of the number of power states required by the circuit in real time; The unit is kilowatt; S52, the and stated With the In According to the numerical analysis of the real-time storage capacity of electric energy and the real-time power demand of the circuit, the and The corresponding ; S53, the Generate real-time power data of generators through data identification And output, The unit is kilowatt; S6. According to the Process the generator power execution instruction data with different generator power execution instructions to generate real-time generator power execution instructions ; The S6 comprises the following steps: S61. Establishing a set of execution instructions for different generator power generation , ;in Indicates Different generator power execution instructions corresponding to the generator power values, Indicates the maximum value of the number of types of generator power values; S62, using a unified cost search algorithm to According to the power generation value and the Execute instructions for different generator power generation Match and search for the The corresponding difference And mark the real-time power generation execution instruction generated by the generator ; S7. According to the Control the generator to perform power generation adjustment operations.

2. The method for adaptively adjusting the power generation of a generator based on energy storage changes according to claim 1 is characterized in that: The S1 comprises the following steps: S11. The material management platform collects energy characteristic information used for generator power generation online and generates power generation energy characteristic data , the power generation energy characteristic data includes power generation energy type data and power generation energy quality data, and the unit of the power generation energy quality data is kilogram; The circuit power meter is used to measure the circuit power demand data in the distribution line connected to the generator output end online and generate the circuit real-time power demand data .

3. The method for adaptively adjusting the power generation of a generator based on energy storage changes according to claim 2 is characterized in that: The S2 comprises the following steps: S21. Establishing a data set of power generation energy conversion rate , ;in Indicates The power generation energy conversion rate data corresponding to the power generation energy, Indicates the maximum number of types of power generation energy; S22, using the KD tree nearest neighbor search algorithm to Data collection of power conversion rate of the power generation energy China Power Generation Energy Power Conversion Rate Data According to the keyword matching of power generation energy type, identify the power generation energy characteristic data The corresponding power generation energy conversion rate data And identify the specific power conversion rate data of the generated power generation energy .

4. The method for adaptively adjusting the power generation of a generator based on energy storage changes according to claim 3 is characterized in that: The S3 comprises the following steps: S31, the power generation energy characteristic data The quality data of the power generation energy and the specific power conversion rate data of the power generation energy Perform numerical multiplication processing to measure the power generation energy quality data according to Convert power generation energy into stored electrical energy and build real-time electrical energy storage data , The unit is kilowatt-hour.

5. The method for adaptively adjusting the power generation of a generator based on energy storage changes according to claim 4 is characterized in that: The S52 comprises the following steps: S521, initialization parameters, update power search, number of crow populations, maximum number of iterations, flight distance ; S522, initializing power search for crow individuals in different scenarios of generator standard power data sets The initial position and memory in the search space, The power search crows are randomly distributed in a multidimensional search space, that is, The spatial dimension of the random distribution of power-searching crows is A collection of standard power generation data for generators in different scenarios In the search space; in the first iteration, it is assumed that the power-searching crow individual hides the food in the initial position; that is, in the first iteration, it is assumed that the power-searching crow individual stores the real-time storage amount of electric energy and the standard circuit real-time demand power data A collection of standard power data of generators in different scenarios Standard power generation data of generators in different scenarios at the initial position in the search space Make a match; S523, calculating the individual fitness value of each power-searching crow, that is, calculating the real-time storage capacity data of the electric energy and the standard circuit real-time demand power data A collection of standard power data of generators in different scenarios Standard power generation data of generators in different scenarios in the search space The fitness value of S524. Update power search for crow individuals and standard power data sets of generators in different scenarios Position in the search space; S525, determine the feasibility of the new position, determine the feasibility of the new position of each power-searching crow individual; if the new position of the power-searching crow individual is feasible, the power-searching crow individual will update its position, that is, the standard power generation data set of the generator in different scenarios Search for the real-time storage data of the electric energy and the standard circuit real-time demand power data Standard power generation data of generators matching different scenarios , the power search crow individual is updated to the standard power data of the generator in different scenarios that match successfully otherwise, the power-searching crow individual stays at the current position and does not move to the new position; S526, evaluate the fitness value of the new position, calculate the fitness value of each power-searching crow's individual new position, that is, calculate the standard power generation data set of generators in different scenarios Real-time storage data of electric energy in the search space and the standard circuit real-time demand power data Standard power generation data of generators in different scenarios with new locations The fitness value of S527, update memory, if the fitness value of the new position of the power search crow is greater than the fitness value of the initial position in the memory, the power search crow updates its memory through the new position, otherwise it does not update its memory; that is, the standard power generation data set of generators in different scenarios Search for the real-time storage data of the electric energy and the standard circuit real-time demand power data Standard power generation data of generators in different scenarios with the largest fitness value ; S528: When the maximum number of iterations is met, output the standard power data of generators in different scenarios .

6. The method for adaptively adjusting the power generation of a generator based on energy storage changes according to claim 5 is characterized in that: The S7 comprises the following steps: S71, executing the real-time power generation instruction of the generator The generator control terminal is introduced through the Internet of Things communication network, and the generator control terminal executes instructions according to the real-time power generation of the generator Control the generator to perform power generation adjustment operations.

7. A generator power adaptive adjustment system based on energy storage change, used to implement a generator power adaptive adjustment method based on energy storage change according to any one of claims 1 to 6, characterized in that: The system comprises a generator power basic parameter processing module, a generator power analysis module and a generator power control module.

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