Control method and corresponding device for energy storage system of thermal generator set

Abstract

The invention relates to a control method for an energy storage system of a thermal generator set and a corresponding device. The control method comprises the following steps: according to a first operation parameter and a performance parameter of the thermal generator set in a first-stage operation process, calculating contribution electric quantity indexes and output response indexes corresponding to primary frequency modulation generated each time in the first-stage operation process of the thermal generator set through a Laplace method, integrating all the contribution electric quantity indexes into a contribution electric quantity index report, and integrating all the output response indexes into an output response index report; according to the contribution electric quantity index report, the output response index report and the hybrid energy storage data of the thermal generator set, the operation parameters of the energy storage system of the thermal generator set in the second-stage operation process are controlled, and the operation parameters of the thermal generator set can be collected online. Therefore, the accuracy of the contribution electric quantity index report and the output response index report can be improved, and the efficiency and the accuracy of controlling the energy storage system can be improved.

Description

Technical Field

[0001] The present disclosure relates to the field of data processing technology, and in particular to a control method and corresponding device for an energy storage system of a thermal power generating set. Background Art

[0002] The energy storage system of a thermal power generating unit is mainly used to store and regulate the energy generated by the thermal power generating unit. In the related art, the primary frequency regulation of the thermal power generating unit is tested by an offline test method, and then the test results are used to control the operating state of the energy storage system, and its control efficiency and accuracy are low. Summary of the invention

[0003] The purpose of the present invention is to provide a control method and a corresponding device for an energy storage system of a thermal power generating set, so as to solve the technical problems existing in the related art.

[0004] In order to achieve the above objectives, in a first aspect, the present disclosure provides a control method for an energy storage system of a thermal power generating set, comprising: Determine the performance parameters of the thermal power generating set, the first operating parameters of the thermal power generating set during the first stage of operation, and the hybrid energy storage data of the thermal power generating set, wherein the first stage of operation is any period of time during the operation of the thermal power generating set; According to the first operating parameter and the performance parameter, the contribution power index and the output response index corresponding to each frequency modulation of the thermal power generating set during the first stage of operation are calculated by the Laplace method, all the contribution power indexes are integrated into a contribution power index report, and all the output response indexes are integrated into an output response index report; According to the contribution power index report, the output response index report and the hybrid energy storage data, the operating parameters of the energy storage system of the thermal power generator set during the second stage operation are controlled, wherein the second stage operation process is the operation process after the first stage operation process.

[0005] Optionally, the calculating, according to the first operating parameter and the performance parameter, by the Laplace method, a contribution power index corresponding to each frequency modulation occurring during the operation of the thermal power generating set in the first stage, includes: For each frequency modulation that occurs during the first stage of operation, determine the initial moment when the frequency difference state value of the frequency modulation changes, and calculate the contribution power index of the frequency modulation by the Laplace transform method based on the initial moment and the first operating parameters.

[0006] Optionally, according to the first operating parameter and the performance parameter, calculating the output response index corresponding to each frequency modulation of the thermal power generating set during the first stage of operation by the Laplace method, including: For each frequency modulation occurring during the operation of the first stage, determining an initial time at which a frequency difference state value of the frequency modulation changes, and calculating a first output of the frequency modulation according to the initial time; Processing the performance parameters by a maximum likelihood estimation method and a numerical fitting method to obtain a second output of the primary frequency modulation; The output response index corresponding to the primary frequency modulation is calculated by a Laplace transform method according to the first output and the second output.

[0007] Optionally, determining the performance parameter of the thermal power generating set and the first operating parameter of the thermal power generating set during the first stage of operation includes: Obtaining the terminal voltage and speed of the generator of the thermal power generating set during the first stage of operation; Processing the terminal voltage according to a grid frequency measurement method or a spectrum analysis method of voltage amplitude to obtain the frequency of the generator; When the absolute value of the difference between the frequency and the rated frequency of the generator is greater than a first preset threshold, and the absolute value of the difference between the speed and the rated speed of the generator is greater than a second preset threshold, the performance parameters of the thermal power generator set and the first operating parameters of the thermal power generator set during the first stage of operation are determined.

[0008] Optionally, controlling the operating parameters of the energy storage system of the thermal power generating set during the second stage of operation according to the contribution power index report, the output response index report and the hybrid energy storage data includes: Determine a target contribution power index greater than a preset contribution power in the contribution power index report, and a target output response index greater than a preset output response index in the output response index report, and determine target primary frequency modulation data according to the target contribution power index and the target output response index; Processing the target primary frequency modulation data by using a particle swarm algorithm combined with a long short-term memory network method to obtain primary frequency modulation prediction data; According to the primary frequency regulation prediction data and the hybrid energy storage data, construct an objective function and constraint conditions, wherein the objective function is used to characterize the economic benefits of the energy storage system in the thermal power generating unit participating in the primary frequency regulation process; Under the constraints of the constraints, the objective function is solved, and the maximum value obtained by the solution is used as the second operating parameter. The operating state of the energy storage system of the thermal power generator set during the second stage of operation is controlled by the second operating parameter.

[0009] Optionally, constructing an objective function and constraint conditions according to the primary frequency modulation prediction data and the hybrid energy storage data includes: The total regulation time data in the primary frequency regulation prediction data and the power data and capacity data of the energy storage system in the hybrid energy storage data are processed by a particle swarm algorithm and a variational mode algorithm to obtain the full life data of the energy storage system, and the full life data is used to characterize the economic benefits of the energy storage system during operation; Constructing the objective function according to the full life data and the integrated power prediction value in the primary frequency modulation prediction data; The constraint condition is constructed according to the maximum value of the primary frequency modulation prediction data in the primary frequency modulation prediction data, the coverage value of the primary frequency modulation prediction data in the primary frequency modulation prediction data and the hybrid energy storage data.

[0010] In a second aspect, the present disclosure provides a control device for an energy storage system of a thermal power generator set, comprising a first determination module, a first calculation module and a control module; The first determination module is used to determine the performance parameters of the thermal power generating set, the first operating parameters of the thermal power generating set during the first stage of operation, and the hybrid energy storage data of the thermal power generating set, wherein the first stage of operation is any period of time during the operation of the thermal power generating set; The first calculation module is used to calculate the contribution power index and the output response index corresponding to each frequency modulation of the thermal power generating set during the operation of the first stage according to the first operating parameter and the performance parameter by the Laplace method, integrate all the contribution power indexes into a contribution power index report, and integrate all the output response indexes into an output response index report; The control module is used to control the operating parameters of the energy storage system of the thermal power generator set during the second stage operation according to the contribution power index report, the output response index report and the hybrid energy storage data, wherein the second stage operation process is the operation process after the first stage operation process.

[0011] Optionally, the first calculation module is used to: For each frequency modulation that occurs during the first stage of operation, determine the initial moment when the frequency difference state value of the frequency modulation changes, and calculate the contribution power index of the frequency modulation by the Laplace transform method based on the initial moment and the first operating parameters.

[0012] Optionally, the first calculation module includes: A second determination module is used to determine, for each frequency modulation occurring during the operation of the first stage, an initial time at which the frequency difference state value of the frequency modulation changes, and calculate a first output of the frequency modulation according to the initial time; A first processing module, used for processing the performance parameter by a maximum likelihood estimation method and a numerical fitting method to obtain a second output of the primary frequency modulation; The second calculation module is used to calculate the output response index corresponding to the primary frequency modulation according to the first output and the second output by Laplace transform method.

[0013] Optionally, the first determining module includes: A data acquisition module, used to acquire the terminal voltage and rotation speed of the generator of the thermal power generating set during the first stage of operation; A second processing module is used to process the terminal voltage according to a grid frequency measurement method or a spectrum analysis method of a voltage amplitude to obtain the frequency of the generator; The third determination module is used to determine the performance parameters of the thermal power generator set and the first operating parameters of the thermal power generator set during the first stage of operation when the absolute value of the difference between the frequency and the rated frequency of the generator is greater than a first preset threshold, and the absolute value of the difference between the speed and the rated speed of the generator is greater than a second preset threshold.

[0014] Optionally, the control module includes: a fifth determination module, configured to determine a target contribution power index greater than a preset contribution power in the contribution power index report, and a target output response index greater than a preset output response index in the output response index report, and determine target primary frequency modulation data according to the target contribution power index and the target output response index; A third processing module is used to process the target primary frequency modulation data by using a particle swarm algorithm combined with a long short-term memory network method to obtain primary frequency modulation prediction data; A first construction module is used to construct an objective function and constraint conditions according to the primary frequency regulation prediction data and the hybrid energy storage data, wherein the objective function is used to characterize the economic benefits of the energy storage system in the thermal power generating unit participating in the primary frequency regulation process; A solution module is used to solve the objective function under the constraints of the constraints, and use the maximum value obtained by the solution as the second operating parameter, and control the operating state of the energy storage system of the thermal power generator set during the second stage of operation through the second operating parameter.

[0015] Optionally, the first building block includes: A fourth processing module is used to process the total adjustment time data in the primary frequency modulation prediction data and the power data and capacity data of the energy storage system in the hybrid energy storage data by using a particle swarm algorithm and a variational mode algorithm to obtain the full life data of the energy storage system, and the full life data is used to characterize the economic benefits of the energy storage system during operation; A second construction module is used to construct the objective function according to the full life data and the integrated power prediction value in the primary frequency modulation prediction data; The third construction module is used to construct the constraint condition according to the maximum value of the primary frequency modulation prediction data in the primary frequency modulation prediction data, the coverage value of the primary frequency modulation prediction data in the primary frequency modulation prediction data and the hybrid energy storage data.

[0016] In a third aspect, the present disclosure provides a non-temporary computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any one of the methods provided in the first aspect of the present disclosure.

[0017] In a fourth aspect, the present disclosure provides an electronic device, including: a memory having a computer program stored thereon; A processor is used to execute the computer program in the memory to implement the steps of any one of the methods provided in the first aspect of the present disclosure.

[0018] In a fifth aspect, the present disclosure provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of any one of the methods provided in the first aspect of the present disclosure.

[0019] Through the above technical scheme, according to the first operating parameters of the thermal power generating set during the first stage of operation and the performance parameters of the thermal power generating set, the Laplace method is used to calculate the contribution power index and output response index corresponding to each frequency modulation of the thermal power generating set during the first stage of operation, and all contribution power indexes are integrated into a contribution power index report, and all output response indexes are integrated into an output response index report. It is possible to collect the operating parameters of the thermal power generating set online, thereby improving the accuracy of the contribution power index report and the output response index report. Afterwards, the operating parameters of the energy storage system of the thermal power generating set during the second stage of operation can be controlled according to the contribution power index report, the output response index report and the hybrid energy storage data of the thermal power generating set. The efficiency and accuracy of the control of the energy storage system can be improved.

[0020] Other features and advantages of the present disclosure will be described in detail in the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The accompanying drawings are used to provide a further understanding of the present disclosure and constitute a part of the specification. Together with the following specific embodiments, they are used to explain the present disclosure but do not constitute a limitation of the present disclosure. In the accompanying drawings: Figure 1 It is a schematic diagram showing a control method of an energy storage system of a thermal power generating set according to an exemplary embodiment of the present disclosure.

[0022] Figure 2 The diagram is a schematic diagram showing a control device of an energy storage system of a thermal power generator set according to an exemplary embodiment of the present disclosure.

[0023] Figure 3 It is a block diagram of an electronic device according to an exemplary embodiment. DETAILED DESCRIPTION

[0024] The specific implementation of the present disclosure is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described herein is only used to illustrate and explain the present disclosure, and is not used to limit the present disclosure.

[0025] It should be noted that all actions of acquiring signals, information or data in the present disclosure are carried out in compliance with the relevant data protection laws and policies of the country where the device is located and with the authorization given by the owner of the corresponding device.

[0026] The primary frequency regulation in thermal power generating units can be used to correct the small deviation components that occur when the power consumption and power supply do not match during the operation of the power grid.

[0027] In the related art, the relevant data of the primary frequency modulation in the thermal power generator set is usually measured offline, and the energy storage system in the thermal power generator set is controlled according to the relevant data. However, the inventors have found that when the energy storage system is controlled by the method in the related art, when collecting the relevant data of the primary frequency modulation, only the primary frequency modulation data corresponding to the working condition after offline can be collected, and the performance parameters corresponding to the primary frequency modulation data under multiple working conditions cannot be collected, which makes the efficiency and accuracy of the controlled energy storage system low.

[0028] In view of this, the present disclosure provides a control method and corresponding device for an energy storage system of a thermal power generator set to solve the technical problems existing in the above-mentioned related technologies.

[0029] like Figure 1 As shown, Figure 1 is a schematic diagram showing a control method of a thermal power generation unit energy storage system according to an exemplary embodiment of the present disclosure, with reference to Figure 1 ,include: S101: Determine the performance parameters of the thermal power generating set, the first operating parameters of the thermal power generating set during the first stage of operation, and the hybrid energy storage data of the thermal power generating set, wherein the first stage of operation is any period of time during the operation of the thermal power generating set; S102: Calculate, according to the first operating parameter and the performance parameter, a contribution power index and an output response index corresponding to each frequency modulation of the thermal power generating set during the operation of the first stage by using the Laplace method, integrate all contribution power indexes into a contribution power index report, and integrate all output response indexes into an output response index report; S103: According to the contribution power index report, the output response index report and the hybrid energy storage data, control the operating parameters of the energy storage system of the thermal power generator set during the second stage operation, wherein the second stage operation process is the operation process after the first stage operation process.

[0030] Through the above technical scheme, according to the first operating parameters of the thermal power generating set during the first stage of operation and the performance parameters of the thermal power generating set, the Laplace method is used to calculate the contribution power index and output response index corresponding to each frequency modulation of the thermal power generating set during the first stage of operation, and all contribution power indexes are integrated into a contribution power index report, and all output response indexes are integrated into an output response index report. It is possible to collect the operating parameters of the thermal power generating set online, thereby improving the accuracy of the contribution power index report and the output response index report. Afterwards, the operating parameters of the energy storage system of the thermal power generating set during the second stage of operation can be controlled according to the contribution power index report, the output response index report and the hybrid energy storage data of the thermal power generating set. The efficiency and accuracy of the control of the energy storage system can be improved.

[0031] In order to enable those skilled in the art to better understand the control method of the energy storage system of a thermal power generator set provided by the present disclosure, the above steps are described in detail with examples below.

[0032] For example, performance parameters may include the speed inequality rate of thermal power generating units, rated active power of thermal power generating units, standard parameters in the two detailed rules of the region, rated power and other parameters. Among them, the standard parameters in the two detailed rules of the region include the deep peak regulation compensation coefficient of coal-fired units, the stable load compensation coefficient and other parameters, and the two detailed rules may be the implementation rules for power auxiliary service management.

[0033] The first stage operation process may be the operation process of the thermal power generating set under any period of time. The first stage may be one day, three days, or 36 hours. The embodiment of the present disclosure does not make any specific limitation on this.

[0034] Hybrid energy storage data may include parameter data related to lithium battery and supercapacitor energy storage, parameter data related to the topology of the hybrid energy storage system, and other data.

[0035] In a possible manner, determining the performance parameter of the thermal power generating set and the first operating parameter of the thermal power generating set during the first stage of operation includes: Obtaining the terminal voltage and speed of the generator of the thermal power generating set during the first stage of operation; Processing the terminal voltage according to a grid frequency measurement method or a spectrum analysis method of voltage amplitude to obtain the frequency of the generator; When the absolute value of the difference between the frequency and the rated frequency of the generator is greater than a first preset threshold, and the absolute value of the difference between the speed and the rated speed of the generator is greater than a second preset threshold, the performance parameters of the thermal power generator set and the first operating parameters of the thermal power generator set during the first stage of operation are determined.

[0036] It should be understood that when determining the performance parameter and the first operating parameter, the performance parameter and the first operating parameter can be obtained when the thermal power generating set is about to have a primary frequency regulation demand. In this embodiment, it can be determined whether the thermal power generating set has a primary frequency regulation demand based on the extreme voltage and speed of the thermal power generating set.

[0037] The generator terminal voltage and speed of the thermal power generator set during the first stage of operation are obtained, and then the generator terminal voltage can be processed by the voltage amplitude grid frequency measurement method or the spectrum analysis method to obtain the generator frequency. Among them, the voltage amplitude grid frequency measurement and the spectrum analysis method can both be methods used in related technologies and will not be repeated here.

[0038] Afterwards, the absolute value of the difference between the frequency and the rated frequency of the generator, and the absolute value of the difference between the speed and the rated speed can be calculated, and when the absolute value of the difference between the frequency and the rated frequency is greater than the first preset threshold, and the difference between the speed and the rated speed is greater than the second preset threshold, it can represent that the thermal power generator set has a need for primary frequency regulation at this time, and then the first operating parameter and performance parameter can be determined. Among them, the first preset threshold can be the dead zone frequency of the generator, and the second preset threshold can be the dead zone speed of the generator, which is not specifically limited in the embodiments of the present disclosure.

[0039] For example, the contribution power index can be the active power actually compensated by the thermal power generator set when the grid frequency changes beyond the dead-band frequency of the primary frequency modulation to the end of the grid frequency deviation recovering to the dead-band frequency range. The output response index can be the time required for the grid frequency change to reach the primary frequency modulation action value to the thermal power generator set load starting to change in the direction of frequency recovery.

[0040] In the embodiment of the present disclosure, the thermal power generator set may have multiple frequency modulation events during the first stage of operation. Each frequency modulation event will correspond to different contribution power indicators and output response indicators. All contribution power indicators can be integrated to obtain a contribution power indicator report, and all output response indicators can be integrated to obtain an output response indicator report. Among them, the contribution power indicator and the output response indicator can be calculated by the Laplace method based on the first operating parameter and the performance parameter, and this embodiment of the present disclosure does not make specific limitations on this.

[0041] By integrating the contribution electricity index report and the output response index report, the contribution electricity index and output response index corresponding to a frequency modulation under multiple different working conditions can be realized, and then the contribution electricity index report and the output response index report are used for the subsequent control of the energy storage system, which can improve the efficiency of the energy storage system and the accuracy of control.

[0042] In a possible manner, the calculation of the contribution power index corresponding to each frequency modulation of the thermal power generating set during the first stage of operation by the Laplace method according to the first operating parameter and the performance parameter includes: For each frequency modulation that occurs during the first stage of operation, determine the initial moment when the frequency difference state value of the frequency modulation changes, and calculate the contribution power index of the frequency modulation by the Laplace transform method based on the initial moment and the first operating parameters.

[0043] It should be understood that when calculating the contribution power index corresponding to each primary frequency modulation, it can be determined according to the change of the frequency difference state value of the primary frequency modulation. Among them, the frequency difference state value can be a parameter related to the grid frequency deviation of the power system of the thermal power generating unit during the primary frequency modulation process.

[0044] In the embodiment of the present disclosure, the contribution power index of the primary frequency modulation can be calculated by the Laplace transform method according to the initial moment of the change of the frequency difference state value and the first operating parameter, wherein the Laplace transform method is a method of calculating the contribution power index by Laplace transform adopted in the related art, which will not be described in detail here.

[0045] In a possible manner, according to the first operating parameter and the performance parameter, the output response index corresponding to each frequency modulation of the thermal power generating set during the first stage of operation is calculated by the Laplace method, including: For each frequency modulation occurring during the operation of the first stage, determining an initial time at which a frequency difference state value of the frequency modulation changes, and calculating a first output of the frequency modulation according to the initial time; Processing the performance parameters by a maximum likelihood estimation method and a numerical fitting method to obtain a second output of the primary frequency modulation; The output response index corresponding to the primary frequency modulation is calculated by a Laplace transform method according to the first output and the second output.

[0046] It should be understood that the frequency difference state value of the primary frequency modulation has been described above and will not be repeated here. In the embodiment of the present disclosure, the first output of the primary frequency modulation can be calculated according to the initial moment of the frequency difference state value and by methods such as the frequency response process method or the equivalent difference rate calculation method, wherein the frequency response process method or the equivalent difference rate calculation method are methods used in related technologies, and the first output can be the actual output, which is not specifically limited in the embodiment of the present disclosure.

[0047] Afterwards, the performance parameters can be processed by the maximum likelihood estimation method and the numerical fitting method to obtain the second output of the primary frequency modulation. The second output can be the theoretical output, and the maximum likelihood estimation method and the numerical fitting method can be the methods used in the related art, which will not be described in detail here.

[0048] Then, the output response index corresponding to the primary frequency modulation can be calculated according to the first output and the second output by using the Laplace transform method.

[0049] For example, after obtaining the contribution power index report and the output response index report, the operation parameters of the energy storage system of the thermal power generator set during the second stage of operation can be controlled according to the contribution power index report, the output response index report and the hybrid energy storage data. That is to say, in the embodiment of the present disclosure, the thermal power generator set can control the operation parameters of the energy storage system during the second stage of operation according to the relevant data of the frequency modulation that occurs during the first stage of operation, thereby improving the control efficiency of the energy storage system and the accuracy of the control of the energy storage system. In turn, the economic benefits of the thermal power generator set can be maximized.

[0050] In a possible manner, controlling the operating parameters of the energy storage system of the thermal power generating set during the second stage of operation according to the contribution power index report, the output response index report and the hybrid energy storage data includes: Determine a target contribution power index greater than a preset contribution power in the contribution power index report, and a target output response index greater than a preset output response index in the output response index report, and determine target primary frequency modulation data according to the target contribution power index and the target output response index; Processing the target primary frequency modulation data by using a particle swarm algorithm combined with a long short-term memory network method to obtain primary frequency modulation prediction data; According to the primary frequency regulation prediction data and the hybrid energy storage data, construct an objective function and constraint conditions, wherein the objective function is used to characterize the economic benefits of the energy storage system in the thermal power generating unit participating in the primary frequency regulation process; Under the constraints of the constraints, the objective function is solved, and the maximum value obtained by the solution is used as the second operating parameter. The operating state of the energy storage system of the thermal power generator set during the second stage of operation is controlled by the second operating parameter.

[0051] It should be understood that in the contribution power index report, some contribution power indicators are qualified indicators and some are unqualified indicators. In the embodiment of the present disclosure, it is necessary to select a qualified contribution power indicator for controlling the energy storage system. The target contribution power indicator can be a qualified contribution power indicator, and the preset contribution power can be the dividing line between a qualified contribution power indicator and an unqualified contribution power indicator. In this embodiment, the contribution power indicator report that is greater than the preset contribution power in the contribution power indicator report is determined as the target contribution power indicator.

[0052] In the output response index report, some output response indicators are qualified indicators, and some are unqualified indicators. In the disclosed embodiment, it is necessary to select a qualified output response indicator for controlling the energy storage system. The target output response indicator can be a qualified output response indicator, and the preset output response indicator can be a dividing line between a qualified output response indicator and an unqualified output response indicator. In this embodiment, the output response indicator report that is greater than the preset output response indicator in the output response index report is determined as the target output response indicator.

[0053] Then, the target primary frequency modulation data can be determined from the target contribution power index and the target output response index, wherein the target primary frequency modulation data can include the primary frequency modulation monthly commissioning rate, 15-second output response index, 30-second output response index, power contribution index, and primary frequency modulation dead zone data. Then, the target primary frequency modulation data can be processed by the particle swarm algorithm combined with the long short-term memory network method to obtain the primary frequency modulation prediction data.

[0054] Afterwards, the objective function and constraint conditions can be constructed based on the primary frequency modulation prediction data and the hybrid energy storage data, and the objective function can be solved under the constraint of the constraint conditions so that the maximum value is obtained, and the maximum value is used as the second operating parameter to control the operating state of the energy storage system during the second stage of operation of the thermal power generating unit, thereby improving the control efficiency of the energy storage system and the accuracy of the control of the energy storage system. In addition, the economic benefits of the thermal power generating unit can be maximized.

[0055] In a possible manner, constructing an objective function and constraint conditions according to the primary frequency modulation prediction data and the hybrid energy storage data includes: The total regulation time data in the primary frequency regulation prediction data and the power data and capacity data of the energy storage system in the hybrid energy storage data are processed by a particle swarm algorithm and a variational mode algorithm to obtain the full life data of the energy storage system, and the full life data is used to characterize the economic benefits of the energy storage system during operation; Constructing the objective function according to the full life data and the integrated power prediction value in the primary frequency modulation prediction data; The constraint condition is constructed according to the maximum value of the primary frequency modulation prediction data in the primary frequency modulation prediction data, the coverage value of the primary frequency modulation prediction data in the primary frequency modulation prediction data and the hybrid energy storage data.

[0056] It should be understood that the primary frequency regulation prediction data may include total regulation time data, integrated power prediction value and primary frequency regulation prediction data coverage value, and the embodiments of the present disclosure do not specifically limit this. The full life data may be the cost data generated by the energy storage system during operation.

[0057] In the disclosed embodiment, the total regulation time data and the power data and capacity data of the energy storage system can be processed by a particle swarm algorithm and a variational mode algorithm, and the full life data can be obtained. Then, an objective function can be constructed based on the full life data and the integral power prediction value, and the objective function can minimize the cost. Then, constraints can be constructed based on the maximum value of the primary frequency regulation prediction data, the coverage value of the primary frequency regulation prediction data, and the hybrid energy storage data, so that the maximum value of the objective function can be solved under the constraints of the constraints, and the maximum value can be used as the second operating parameter to control the operating state of the energy storage system, which can improve the stability and safety of the operation of the thermal power generator set.

[0058] Based on the same concept, this embodiment also discloses a control device for a thermal power generator energy storage system, referring to Figure 2 , Figure 2 is a schematic diagram showing a control device 200 of an energy storage system of a thermal power generator set according to an exemplary embodiment of the present disclosure, such as Figure 2 As shown, it includes a first determination module 201, a first calculation module 202 and a control module 203; The first determination module 201 is used to determine the performance parameters of the thermal power generating set, the first operating parameters of the thermal power generating set during the first stage of operation, and the hybrid energy storage data of the thermal power generating set, wherein the first stage of operation is any period of time during the operation of the thermal power generating set; The first calculation module 202 is used to calculate the contribution power index and the output response index corresponding to each frequency modulation of the thermal power generating set during the operation of the first stage according to the first operating parameter and the performance parameter by the Laplace method, integrate all the contribution power indexes into a contribution power index report, and integrate all the output response indexes into an output response index report; The control module 203 is used to control the operating parameters of the energy storage system of the thermal power generating set during the second stage of operation according to the contribution power index report, the output response index report and the hybrid energy storage data, wherein the second stage of operation is the operation process after the first stage of operation.

[0059] Optionally, the first calculation module 202 is used to: For each frequency modulation that occurs during the first stage of operation, determine the initial moment when the frequency difference state value of the frequency modulation changes, and calculate the contribution power index of the frequency modulation by the Laplace transform method based on the initial moment and the first operating parameters.

[0060] Optionally, the first calculation module 202 includes: A second determination module is used to determine, for each frequency modulation occurring during the operation of the first stage, an initial time at which the frequency difference state value of the frequency modulation changes, and calculate a first output of the frequency modulation according to the initial time; A first processing module, used for processing the performance parameter by a maximum likelihood estimation method and a numerical fitting method to obtain a second output of the primary frequency modulation; The second calculation module is used to calculate the output response index corresponding to the primary frequency modulation according to the first output and the second output by Laplace transform method.

[0061] Optionally, the first determining module 201 includes: A data acquisition module, used to acquire the terminal voltage and rotation speed of the generator of the thermal power generating set during the first stage of operation; A second processing module is used to process the terminal voltage according to a grid frequency measurement method or a spectrum analysis method of a voltage amplitude to obtain the frequency of the generator; The third determination module is used to determine the performance parameters of the thermal power generator set and the first operating parameters of the thermal power generator set during the first stage of operation when the absolute value of the difference between the frequency and the rated frequency of the generator is greater than a first preset threshold, and the absolute value of the difference between the speed and the rated speed of the generator is greater than a second preset threshold.

[0062] Optionally, the control module 203 includes: a fifth determination module, configured to determine a target contribution power index greater than a preset contribution power in the contribution power index report, and a target output response index greater than a preset output response index in the output response index report, and determine target primary frequency modulation data according to the target contribution power index and the target output response index; A third processing module is used to process the target primary frequency modulation data by using a particle swarm algorithm combined with a long short-term memory network method to obtain primary frequency modulation prediction data; A first construction module is used to construct an objective function and constraint conditions according to the primary frequency regulation prediction data and the hybrid energy storage data, wherein the objective function is used to characterize the economic benefits of the energy storage system in the thermal power generating unit participating in the primary frequency regulation process; A solution module is used to solve the objective function under the constraints of the constraints, and use the maximum value obtained by the solution as the second operating parameter, and control the operating state of the energy storage system of the thermal power generator set during the second stage of operation through the second operating parameter.

[0063] Optionally, the first building block includes: A fourth processing module is used to process the total adjustment time data in the primary frequency modulation prediction data and the power data and capacity data of the energy storage system in the hybrid energy storage data by using a particle swarm algorithm and a variational mode algorithm to obtain the full life data of the energy storage system, and the full life data is used to characterize the economic benefits of the energy storage system during operation; A second construction module is used to construct the objective function according to the full life data and the integrated power prediction value in the primary frequency modulation prediction data; The third construction module is used to construct the constraint condition according to the maximum value of the primary frequency modulation prediction data in the primary frequency modulation prediction data, the coverage value of the primary frequency modulation prediction data in the primary frequency modulation prediction data and the hybrid energy storage data.

[0064] Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0065] Based on the same concept, this embodiment also discloses a non-temporary computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the control method of the energy storage system of the thermal power generator set disclosed in this embodiment are implemented.

[0066] Based on the same concept, this embodiment also discloses an electronic device, including: a memory having a computer program stored thereon; A processor is used to execute the computer program in the memory to implement the steps of the control method of the energy storage system of the thermal power generator set disclosed in this embodiment.

[0067] Figure 3 FIG. 1 is a block diagram of an electronic device 300 according to an exemplary embodiment. Figure 3 As shown, the electronic device 300 may include: a processor 301 , a memory 302 . The electronic device 300 may also include one or more of a multimedia component 303 , an input / output (I / O) interface 304 , and a communication component 305 .

[0068] The processor 301 is used to control the overall operation of the electronic device 300 to complete all or part of the steps in the control method of the energy storage system of the thermal power generator set. The memory 302 is used to store various types of data to support the operation of the electronic device 300. For example, these data may include instructions for any application or method used to operate on the electronic device 300, and application-related data, such as contact data, sent and received messages, pictures, audio, video, etc. The memory 302 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read-Only Memory, referred to as EPROM), programmable read-only memory (Programmable Read-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic memory, flash memory, disk or optical disk. The multimedia component 303 may include a screen and an audio component. The screen may be, for example, a touch screen, and the audio component is used to output and / or input audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may be further stored in the memory 302 or sent through the communication component 305. The audio component also includes at least one speaker for outputting audio signals. The I / O interface 304 provides an interface between the processor 301 and other interface modules, and the other interface modules may be keyboards, mice, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 305 is used for wired or wireless communication between the electronic device 300 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G, 4G, NB-IOT, eMTC, or other 5G, etc., or a combination of one or more of them, is not limited here. Therefore, the corresponding communication component 305 may include: Wi-Fi module, Bluetooth module, NFC module, etc.

[0069] In an exemplary embodiment, the electronic device 300 can be implemented by one or more application specific integrated circuits (ASIC), digital signal processors (DSP), digital signal processing devices (DSPD), programmable logic devices (PLD), field programmable gate arrays (FPGA), controllers, microcontrollers, microprocessors or other electronic components to execute the above-mentioned control method of the energy storage system of the thermal power generator set.

[0070] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided, and when the program instructions are executed by the processor, the steps of the control method of the energy storage system of the thermal power generator set are implemented. For example, the computer-readable storage medium can be the memory 302 including the program instructions, and the program instructions can be executed by the processor 301 of the electronic device 300 to complete the control method of the energy storage system of the thermal power generator set.

[0071] The preferred embodiments of the present disclosure are described in detail above in conjunction with the accompanying drawings; however, the present disclosure is not limited to the specific details in the above embodiments. Within the technical concept of the present disclosure, a variety of simple modifications can be made to the technical solution of the present disclosure, and these simple modifications all fall within the protection scope of the present disclosure.

[0072] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the present disclosure will not further describe various possible combinations.

[0073] In addition, various embodiments of the present disclosure may be arbitrarily combined, and as long as they do not violate the concept of the present disclosure, they should also be regarded as the contents disclosed by the present disclosure.

Claims

1. A control method for an energy storage system of a thermal power generating unit, characterized in that: include: Determine the performance parameters of the thermal power generating set, the first operating parameters of the thermal power generating set during the first stage of operation, and the hybrid energy storage data of the thermal power generating set, wherein the first stage of operation is any period of time during the operation of the thermal power generating set; According to the first operating parameter and the performance parameter, the contribution power index and the output response index corresponding to each frequency modulation of the thermal power generating set during the first stage of operation are calculated by the Laplace method, all the contribution power indexes are integrated into a contribution power index report, and all the output response indexes are integrated into an output response index report; According to the contribution power index report, the output response index report and the hybrid energy storage data, the operating parameters of the energy storage system of the thermal power generator set during the second stage operation are controlled, wherein the second stage operation process is the operation process after the first stage operation process.

2. The control method of the thermal power generation unit energy storage system according to claim 1, characterized in that: The step of calculating, according to the first operating parameter and the performance parameter, a contribution power index corresponding to each frequency modulation of the thermal power generating set during the first stage of operation by the Laplace method includes: For each frequency modulation that occurs during the first stage of operation, determine the initial moment when the frequency difference state value of the frequency modulation changes, and calculate the contribution power index of the frequency modulation by the Laplace transform method based on the initial moment and the first operating parameters.

3. The control method of the thermal power generation unit energy storage system according to claim 1, characterized in that: According to the first operating parameter and the performance parameter, the output response index corresponding to each frequency modulation of the thermal power generating set during the first stage of operation is calculated by the Laplace method, including: For each frequency modulation occurring during the operation of the first stage, determining an initial time at which a frequency difference state value of the frequency modulation changes, and calculating a first output of the frequency modulation according to the initial time; Processing the performance parameters by a maximum likelihood estimation method and a numerical fitting method to obtain a second output of the primary frequency modulation; The output response index corresponding to the primary frequency modulation is calculated by a Laplace transform method according to the first output and the second output.

4. The control method of the thermal power generation unit energy storage system according to claim 1, characterized in that: Determining the performance parameters of the thermal power generating set and the first operating parameters of the thermal power generating set during the first stage of operation includes: Obtaining the terminal voltage and speed of the generator of the thermal power generating set during the first stage of operation; Processing the terminal voltage according to a grid frequency measurement method or a spectrum analysis method of voltage amplitude to obtain the frequency of the generator; When the absolute value of the difference between the frequency and the rated frequency of the generator is greater than a first preset threshold, and the absolute value of the difference between the speed and the rated speed of the generator is greater than a second preset threshold, the performance parameters of the thermal power generator set and the first operating parameters of the thermal power generator set during the first stage of operation are determined.

5. The control method of the thermal power generation unit energy storage system according to claim 1, characterized in that: The controlling the operating parameters of the energy storage system of the thermal power generating set during the second stage of operation according to the contribution power index report, the output response index report and the hybrid energy storage data includes: Determine a target contribution power index greater than a preset contribution power in the contribution power index report, and a target output response index greater than a preset output response index in the output response index report, and determine target primary frequency modulation data according to the target contribution power index and the target output response index; Processing the target primary frequency modulation data by using a particle swarm algorithm combined with a long short-term memory network method to obtain primary frequency modulation prediction data; According to the primary frequency regulation prediction data and the hybrid energy storage data, construct an objective function and constraint conditions, wherein the objective function is used to characterize the economic benefits of the energy storage system in the thermal power generating unit participating in the primary frequency regulation process; Under the constraints of the constraints, the objective function is solved, and the maximum value obtained by the solution is used as the second operating parameter. The operating state of the energy storage system of the thermal power generator set during the second stage of operation is controlled by the second operating parameter.

6. The control method of the thermal power generation unit energy storage system according to claim 5, characterized in that: The constructing of an objective function and constraint conditions according to the primary frequency modulation prediction data and the hybrid energy storage data includes: The total regulation time data in the primary frequency regulation prediction data and the power data and capacity data of the energy storage system in the hybrid energy storage data are processed by a particle swarm algorithm and a variational mode algorithm to obtain the full life data of the energy storage system, and the full life data is used to characterize the economic benefits of the energy storage system during operation; Constructing the objective function according to the full life data and the integrated power prediction value in the primary frequency modulation prediction data; The constraint condition is constructed according to the maximum value of the primary frequency modulation prediction data in the primary frequency modulation prediction data, the coverage value of the primary frequency modulation prediction data in the primary frequency modulation prediction data and the hybrid energy storage data.

7. A control device for an energy storage system of a thermal power generating unit, characterized in that: It includes a first determining module, a first calculating module and a control module; The first determination module is used to determine the performance parameters of the thermal power generating set, the first operating parameters of the thermal power generating set during the first stage of operation, and the hybrid energy storage data of the thermal power generating set, wherein the first stage of operation is any period of time during the operation of the thermal power generating set; The first calculation module is used to calculate the contribution power index and the output response index corresponding to each frequency modulation of the thermal power generating set during the operation of the first stage according to the first operating parameter and the performance parameter by the Laplace method, integrate all the contribution power indexes into a contribution power index report, and integrate all the output response indexes into an output response index report; The control module is used to control the operating parameters of the energy storage system of the thermal power generator set during the second stage operation according to the contribution power index report, the output response index report and the hybrid energy storage data, wherein the second stage operation process is the operation process after the first stage operation process.

8. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

9. An electronic device, characterized in that: include: a memory having a computer program stored thereon; A processor, configured to execute the computer program in the memory to implement the steps of the method according to any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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