Excitation parameter setting method for peak regulation-phase modulation mode of compressed air energy storage unit

Abstract

The invention relates to the technical field of novel energy, in particular to an excitation parameter setting method for a compressed air energy storage unit in a peak regulation-phase modulation mode, and the method comprises the steps: obtaining a first excitation system key parameter in a peak regulation mode and a second excitation system key parameter in a phase modulation mode, performing clustering analysis on the key parameters of the first excitation system and the key parameters of the second excitation system by using an optimal peak regulation strategy and a maximum phase modulation strategy to obtain an optimal mass center, and performing clustering division on the key parameters of the first excitation system and the key parameters of the second excitation system according to the distance between the vector of each parameter and the optimal mass center to obtain a clustering division result; and obtaining a first key excitation parameter and a second key excitation parameter, setting the first key excitation parameter and the second key excitation parameter, and integrating the parameters to obtain the excitation parameter of the compressed air energy storage unit in consideration of the peak regulation-phase modulation mode. Therefore, the problem that the effect of the excitation parameters set by the compressed air energy storage system in the peak regulation mode is poor in the phase modulation mode during multi-mode switching is solved.

Description

Technical Field

[0001] The present application relates to the field of new energy technologies, and in particular to a method for setting excitation parameters of a compressed air energy storage unit in a peak-shaving and phase-adjusting mode. Background Art

[0002] In recent years, new energy generation technologies represented by wind power generation and photovoltaic power generation have developed rapidly, and the proportion of new energy in building low-carbon power systems has gradually increased. However, the inherent uncertainty of wind power and photovoltaic power generation has brought unprecedented challenges to the operation of the power system, among which the dynamic support capacity of conventional power supply voltage in new energy bases is particularly prominent. In order to smooth the output fluctuations of renewable energy and improve the flexibility and stability of the power system, energy storage has become the main means of peak regulation in new power systems, and its importance in the energy balance of power systems has become increasingly prominent. Compressed air energy storage technology is an emerging electric energy storage technology that stores pressure potential energy by compressing air. It has the characteristics of large capacity and long life, and has broad application prospects.

[0003] In related technologies, the expansion power generation part of compressed air energy storage adopts synchronous motors, which can be used as phase regulators to provide dynamic voltage support for new energy bases. During operation, compressed air energy storage units need to flexibly switch between different working modes according to the needs of the power system, such as peak-shaving mode and phase-shifting mode. The peak-shaving mode is mainly used to balance the supply and demand of the power system, while the phase-shifting mode is used to adjust the reactive power of the power system and improve the quality of electric energy. In order to ensure that the compressed air energy storage unit can operate efficiently and stably in these two modes, the parameter setting of the excitation system is particularly important.

[0004] However, the excitation parameter setting principles of compressed air energy storage systems in peak shaving and phase modulation modes are different. They are mostly targeted at a single working mode and lack adaptability and robustness when switching between multiple modes. As a result, the excitation parameters set in peak shaving mode are not effective in phase modulation, which urgently needs to be solved. Summary of the invention

[0005] The present application provides a method for setting excitation parameters of a compressed air energy storage unit in a peak-shaving and phase-adjusting mode, so as to solve the problem that the excitation parameters set in the peak-shaving mode of the compressed air energy storage system are not effective in the phase-adjusting mode when switching between multiple modes.

[0006] The first aspect of the present application provides a method for setting excitation parameters of a compressed air energy storage unit in a peak-shaving-phase-adjusting mode, comprising the following steps:

[0007] Obtain key parameters of the first excitation system in the peak-shaving mode and key parameters of the second excitation system in the phase-shaving mode in the compressed air energy storage unit;

[0008] Based on a preset cluster analysis method, cluster analysis is performed on the key parameters of the first excitation system using an optimal peak-shaving strategy, and cluster analysis is performed on the key parameters of the second excitation system using a maximum phase-adjustment strategy to obtain the best quality centers of the key parameters of the first excitation system and the second excitation system, and clustering and dividing the key parameters of the first excitation system and the second excitation system according to a first distance between a vector of the key parameters of the first excitation system and the best quality center and a second distance between a vector of the key parameters of the second excitation system and the best quality center to obtain the first key excitation parameters in the peak-shaving mode and the second key excitation parameters in the phase-adjustment mode;

[0009] The first key excitation parameter and the second key excitation parameter are adjusted, and the adjusted first key excitation parameter and the adjusted second key excitation parameter are integrated to obtain the excitation parameter of the compressed air energy storage unit that takes into account the peak regulation and phase regulation mode.

[0010] According to an embodiment of the present application, the cluster analysis of the key parameters of the first excitation system using the optimal peak regulation strategy and the cluster analysis of the key parameters of the second excitation system using the maximum phase regulation strategy include:

[0011] Based on the preset cluster analysis method, using the optimal small signal dynamic adjustment strategy, cluster analysis is performed on the key parameters of the first excitation system to obtain the first key excitation parameters;

[0012] Based on the preset cluster analysis method, a cluster analysis is performed on the key parameters of the second excitation system using the maximum effective reactive current gain strategy to obtain the second key excitation parameters.

[0013] According to an embodiment of the present application, the step of setting the first key excitation parameter includes:

[0014] Determining whether the working state of the turbine system in the compressed air energy storage unit under the peak load mode is a power generation state;

[0015] If the working state of the turbine system in the peak shaving mode is the power generation state, the setting target of the first key excitation parameter is determined, and the potential energy of the compressed air is converted into electrical energy, otherwise, a fault reminder is generated.

[0016] According to one embodiment of the present application, the step of setting the second key excitation parameter includes:

[0017] Determining whether the turbine system in the compressed air energy storage unit is in a phase adjustment state under the peak load mode;

[0018] If the turbine system is in the phase adjustment state in the peak regulation mode, a setting target of the second key excitation parameter is determined, and the turbine system is used to adjust the second key excitation parameter to provide reactive power.

[0019] According to one embodiment of the present application, the objective function corresponding to the setting target of the first key excitation parameter is:

[0020] minJ=∫0 T e 2 (t)dt

[0021] The objective function corresponding to the setting target of the second key excitation parameter is:

[0022]

[0023] Among them, J is the objective function, T is the time interval, e 2 (t) is the square of the active power deviation, Δi d is the reactive current increment of the d-axis, and Δu is the voltage change.

[0024] According to the method for setting the excitation parameters of the peak-shaving-phase-adjusting mode of the compressed air energy storage unit in the embodiment of the present invention, the key parameters of the first excitation system in the peak-shaving mode and the key parameters of the second excitation system in the phase-adjusting mode are obtained, and the key parameters of the first excitation system and the second excitation system are clustered and analyzed using the optimal peak-shaving strategy and the maximum phase-adjusting strategy respectively to obtain the best quality center, and the key parameters of the first excitation system and the second excitation system are clustered and divided according to the distance between the vector of each parameter and the best quality center to obtain the first key excitation parameter and the second key excitation parameter, and they are adjusted, and then integrated to obtain the excitation parameters of the compressed air energy storage unit that take into account the peak-shaving-phase-adjusting mode. Thus, the problem that the excitation parameters adjusted in the peak-shaving mode of the compressed air energy storage system are not effective in the phase-adjusting mode when switching between multiple modes is solved. The key parameters of the excitation system in the peak-shaving and phase-adjusting modes are clustered and analyzed by the cluster analysis method to determine the key excitation parameters in the two modes, and to adjust and integrate them, so as to achieve that when the scenes are frequently switched, the excitation system of the compressed air energy storage system in the peak-shaving and phase-adjusting modes has good performance.

[0025] The second aspect of the present application provides an excitation parameter setting device for a compressed air energy storage unit in a peak-shaving and phase-adjusting mode, comprising:

[0026] An acquisition module is used to acquire key parameters of the first excitation system in the peak-shaving mode and key parameters of the second excitation system in the phase-adjusting mode in the compressed air energy storage unit;

[0027] a cluster analysis module, configured to perform cluster analysis on the first excitation system key parameters using an optimal peak-shaving strategy based on a preset cluster analysis method, and to perform cluster analysis on the second excitation system key parameters using a maximum phase-adjustment strategy, to obtain the best quality center of the first excitation system key parameters and the second excitation system key parameters, and to perform cluster division on the first excitation system key parameters and the second excitation system key parameters according to a first distance between a vector of the first excitation system key parameters and the best quality center and a second distance between a vector of the second excitation system key parameters and the best quality center, to obtain the first key excitation parameters in the peak-shaving mode and the second key excitation parameters in the phase-adjustment mode;

[0028] A setting module is used to set the first key excitation parameter and the second key excitation parameter, and integrate the set first key excitation parameter and the set second key excitation parameter to obtain the excitation parameter of the compressed air energy storage unit that takes into account the peak regulation and phase regulation mode.

[0029] According to one embodiment of the present invention, the cluster analysis module includes:

[0030] A first cluster analysis unit, configured to perform cluster analysis on the key parameters of the first excitation system based on the preset cluster analysis method and using an optimal small signal dynamic adjustment strategy to obtain the first key excitation parameters;

[0031] The second cluster analysis unit is used to perform cluster analysis on the key parameters of the second excitation system based on the preset cluster analysis method and using the maximum effective reactive current gain strategy to obtain the second key excitation parameters.

[0032] According to one embodiment of the present invention, the setting module includes:

[0033] A first judgment unit is used to judge whether the working state of the turbine system in the compressed air energy storage unit under the peak load mode is a power generation state;

[0034] The first determination unit is used to determine the setting target of the first key excitation parameter and convert the potential energy of the compressed air into electrical energy if the working state of the turbine system in the peak regulation mode is the power generation state, otherwise, generate a fault reminder.

[0035] According to one embodiment of the present invention, the setting module includes:

[0036] A second judgment unit is used to judge whether the turbine system in the compressed air energy storage unit is in a phase adjustment state under the peak load mode;

[0037] The second determination unit is used to determine the setting target of the second key excitation parameter if the turbine system is in the phase adjustment state in the peak regulation mode, and use the turbine system to adjust the second key excitation parameter to provide reactive power.

[0038] According to one embodiment of the present invention, the objective function corresponding to the setting target of the first key excitation parameter is:

[0039] minJ=∫0 T e 2 (t)dt

[0040] The objective function corresponding to the setting target of the second key excitation parameter is:

[0041]

[0042] Among them, J is the objective function, T is the time interval, e 2 (t) is the square of the active power deviation, Δi d is the reactive current increment of the d-axis, and Δu is the voltage change.

[0043] According to the excitation parameter setting device of the peak-shaving-phase-adjusting mode of the compressed air energy storage unit of the embodiment of the present invention, the key parameters of the first excitation system in the peak-shaving mode and the key parameters of the second excitation system in the phase-adjusting mode are obtained, and the key parameters of the first excitation system and the second excitation system are clustered and analyzed using the optimal peak-shaving strategy and the maximum phase-adjusting strategy respectively to obtain the best quality center, and the first excitation system key parameters and the second excitation system key parameters are clustered and divided according to the distance between the vector of each parameter and the best quality center, to obtain the first key excitation parameter and the second key excitation parameter, and to adjust them, and then to integrate them, to obtain the excitation parameters of the compressed air energy storage unit that take into account the peak-shaving-phase-adjusting mode. Thus, the problem that the excitation parameters adjusted in the peak-shaving mode of the compressed air energy storage system are not effective in the phase-adjusting mode when switching between multiple modes is solved. The key parameters of the excitation system in the peak-shaving and phase-adjusting modes are clustered and analyzed by the cluster analysis method, and the key excitation parameters in the two modes are determined, and they are adjusted and integrated, so that when the scenes are frequently switched, the excitation system of the compressed air energy storage system in the peak-shaving and phase-adjusting modes has good performance.

[0044] The third aspect of the present application provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the method for setting excitation parameters of the peak-shaving and phase-adjusting mode of the compressed air energy storage unit as described in the above embodiment.

[0045] The fourth aspect of the present application provides a computer-readable storage medium, which stores computer instructions, and the computer instructions are used to enable the computer to execute the excitation parameter setting method of the peak-shaving and phase-adjusting mode of the compressed air energy storage unit as described in the above embodiment.

[0046] A fifth aspect of the present invention provides a computer program product, including a computer program / instruction, which, when executed by a processor, implements the steps of the method described in the above embodiment.

[0047] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0049] Figure 1 A flowchart of a method for setting excitation parameters of a compressed air energy storage unit in a peak-shaving and phase-adjusting mode according to an embodiment of the present application;

[0050] Figure 2 The present invention is an overall flow chart of a method for setting excitation parameters of a compressed air energy storage system in a peak-shaving and phase-adjusting mode according to an embodiment of the present application;

[0051] Figure 3 It is a block diagram of an example of an excitation parameter setting device for a compressed air energy storage unit in a peak-shaving-phase-adjusting mode according to an embodiment of the present application;

[0052] Figure 4 Schematic diagram of the structure of an electronic device according to an embodiment of the present application.

[0053] Explanation of the reference numerals: 10 - excitation parameter setting device of the peak-shaving and phase-adjusting mode of the compressed air energy storage unit, 100 - acquisition module, 200 - cluster analysis module, 300 - setting module. DETAILED DESCRIPTION

[0054] The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0055] The following describes the excitation parameter setting method of the peak-shaving-phase-adjusting mode of the compressed air energy storage unit of the embodiment of the present application with reference to the accompanying drawings. In view of the problem mentioned in the above background technology that the excitation parameters adjusted in the peak-shaving mode of the compressed air energy storage system are not effective in the phase-adjusting mode when switching between multiple modes, the present application provides an excitation parameter setting method for the peak-shaving-phase-adjusting mode of the compressed air energy storage unit, in which the key parameters of the first excitation system in the peak-shaving mode and the key parameters of the second excitation system in the phase-adjusting mode are obtained, and the first excitation system key parameters and the second excitation system key parameters are clustered and analyzed using the optimal peak-shaving strategy and the maximum phase-adjusting strategy, respectively, to obtain the best quality center, and the first excitation system key parameters and the second excitation system key parameters are clustered and divided according to the distance between the vector of each parameter and the best quality center, to obtain the first key excitation parameter and the second key excitation parameter, and to adjust them, and then integrate them to obtain the excitation parameters of the compressed air energy storage unit that takes into account the peak-shaving-phase-adjusting mode. In this way, the problem of the excitation parameters adjusted in the peak shaving mode of the compressed air energy storage system not being effective in the phase modulation mode during multi-mode switching is solved. The key parameters of the excitation system in the peak shaving and phase modulation modes are clustered and analyzed by cluster analysis. The key excitation parameters in the two modes are determined, adjusted and integrated, so that the excitation system of the compressed air energy storage system in the peak shaving and phase modulation modes has good performance when the scenes are frequently switched.

[0056] Specifically, Figure 1 A schematic flow chart of a method for adjusting excitation parameters of a compressed air energy storage unit in a peak-shaving and phase-adjusting mode provided in an embodiment of the present application.

[0057] like Figure 1 As shown, the method for setting the excitation parameters of the peak-shaving-phase-adjusting mode of the compressed air energy storage unit includes the following steps:

[0058] In step S101, key parameters of a first excitation system in a peak-shaving mode and key parameters of a second excitation system in a phase-shaving mode in a compressed air energy storage unit are obtained.

[0059] Specifically, based on the different excitation parameter setting principles of the compressed air energy storage system in the peak shaving mode and the phase modulation mode, the excitation parameters adjusted in the peak shaving mode will not be effective in the phase modulation. Therefore, in order to ensure that the excitation system of the compressed air energy storage system has good performance in both the peak shaving and phase modulation modes when the scenes are frequently switched, the embodiment of the present application proposes an excitation parameter setting method for the compressed air energy storage unit that takes into account both the peak shaving and phase modulation modes to solve the above problems.

[0060] Specifically, in an embodiment of the present application, first, it is necessary to obtain key parameter data of the excitation system of the compressed air energy storage unit in the peak shaving and phase modulation modes, that is, to obtain the first key parameters of the excitation system in the peak shaving mode and the second key parameters of the excitation system in the phase modulation mode in the compressed air energy storage unit, wherein the first key parameters of the excitation system and the second key parameters of the excitation system may include but are not limited to excitation current, excitation voltage, excitation time constant, etc.; then, the obtained first key parameters of the excitation system and the second key parameters of the excitation system are preprocessed, such as performing data cleaning, normalization and other steps to ensure the accuracy and consistency of the data, thereby performing cluster analysis on the processed first key parameters of the excitation system and the second key parameters of the excitation system.

[0061] In step S102, based on a preset cluster analysis method, cluster analysis is performed on the key parameters of the first excitation system using the optimal peak-shaving strategy, and cluster analysis is performed on the key parameters of the second excitation system using the maximum phase-adjustment strategy to obtain the optimal center of mass of the key parameters of the first excitation system and the second excitation system. The key parameters of the first excitation system and the second excitation system are clustered according to a first distance between the vector of the key parameters of the first excitation system and the optimal center of mass and a second distance between the vector of the key parameters of the second excitation system and the optimal center of mass to obtain the first key excitation parameters in the peak-shaving mode and the second key excitation parameters in the phase-adjustment mode.

[0062] According to an embodiment of the present application, cluster analysis is performed on key parameters of the first excitation system using an optimal peak-shaving strategy, and cluster analysis is performed on key parameters of the second excitation system using a maximum phase adjustment strategy, including: based on a preset cluster analysis method, cluster analysis is performed on key parameters of the first excitation system using an optimal small-signal dynamic adjustment strategy to obtain first key excitation parameters; based on a preset cluster analysis method, cluster analysis is performed on key parameters of the second excitation system using a maximum effective reactive current gain strategy to obtain second key excitation parameters.

[0063] Among them, the preset clustering analysis method can be selected by technical personnel in this field according to actual testing requirements, and is not specifically limited here. Preferably, the preset clustering analysis method adopted in the embodiment of the present application can be a clustering analysis method that combines the K-means++ algorithm with the iterative self-organizing data analysis method.

[0064] Specifically, after obtaining the first excitation system key parameters and the second excitation system key parameters, the embodiment of the present application performs cluster analysis on the key parameters of the excitation system under the peak regulation mode and the phase regulation mode based on a method combining the K-means++ algorithm and the iterative self-organizing data analysis method, and divides the key excitation parameters under the peak regulation mode and the phase regulation mode accordingly.

[0065] Specifically, the embodiment of the present application is based on a method combining the K-means++ algorithm with the iterative self-organizing data analysis method. First, the optimal peak-shaving strategy, that is, the optimal small-signal dynamic adjustment strategy, is used to perform cluster analysis on the key parameters of the first excitation system, and the maximum phase modulation strategy, that is, the maximum effective reactive current gain strategy, is used to perform cluster analysis on the key parameters of the second excitation system to obtain the optimal centroid of the key parameters of the first excitation system and the key parameters of the second excitation system; secondly, based on the distance between each parameter vector and the centroid, that is, based on the first distance between the vector of the key parameter of the first excitation system and the optimal centroid and the second distance between the vector of the key parameter of the second excitation system and the optimal centroid, various types of typical data are allocated to the modes corresponding to peak-shaving and phase modulation, that is, the key parameters of the first excitation system and the second excitation system are clustered and divided, and they are allocated to the modes corresponding to peak-shaving and phase modulation, to complete AACAES (Advanced Adiabatic Compressed Air Energy The clustering division of key data representations of each mode of the advanced adiabatic compressed air energy storage (AACES) system is used to obtain the first key excitation parameter in the peak regulation mode and the second key excitation parameter in the phase regulation mode.

[0066] In step S103, the first key excitation parameter and the second key excitation parameter are adjusted, and the adjusted first key excitation parameter and the adjusted second key excitation parameter are integrated to obtain the excitation parameter of the compressed air energy storage unit taking into account the peak regulation and phase regulation mode.

[0067] According to one embodiment of the present application, the first key excitation parameter is adjusted, including: judging whether the working state of the turbine system in the compressed air energy storage unit in the peak-shaving mode is the power generation state; if the working state of the turbine system in the peak-shaving mode is the power generation state, then determining the adjustment target of the first key excitation parameter and converting the potential energy of the compressed air into electrical energy, otherwise, generating a fault reminder.

[0068] According to one embodiment of the present application, the second key excitation parameter is adjusted, including: determining whether the turbine system in the compressed air energy storage unit is in a phase adjustment state under the peak regulation mode; if the turbine system is in a phase adjustment state under the peak regulation mode, determining the adjustment target of the second key excitation parameter, and using the turbine system to adjust the second key excitation parameter to provide reactive power.

[0069] Specifically, after obtaining the first key excitation parameter in the peak shaving mode and the second key excitation parameter in the phase modulation mode, in order to ensure that the excitation system in both the peak shaving and phase modulation modes of the compressed air energy storage system has good performance when the scenes are frequently switched, it is necessary to adjust the key excitation parameters in the two modes.

[0070] Specifically, in the embodiment of the present application, the excitation parameter setting target of the compressed air energy storage unit in the peak-shaving mode is that the unit has the best small-signal dynamic regulation performance, and the excitation parameter setting target of the compressed air energy storage unit in the phase-adjusting mode is that the unit has the maximum effective reactive current gain. Therefore, for the peak-shaving mode, if the working state of the turbine system of the compressed air energy storage unit in the peak-shaving mode is the power generation state, then the first key excitation parameter of the compressed air energy storage unit is set with the best small-signal dynamic regulation performance as the target, and the first key excitation parameter is used as a variable to convert the potential energy of the compressed air Converted into electrical energy, reducing frequency fluctuations and active power fluctuations to meet the peak demand of the power grid, thereby adjusting the first key excitation parameter, otherwise, a fault reminder is generated, and the turbine system is maintained and repaired; for the phase adjustment mode, the turbine system of the compressed air energy storage unit is in a phase adjustment state under the peak adjustment mode. At this time, the excitation parameter adjustment of the compressed air energy storage unit takes the maximum effective reactive current gain as the goal, and takes the second key excitation parameter as the variable to adjust the second key excitation parameter, so that reactive power can be provided or absorbed by adjusting the excitation system to maintain the voltage stability of the power grid.

[0071] Among them, the objective function corresponding to the setting target of the first key excitation parameter is:

[0072] minJ=∫0 T e 2 (t)dt

[0073] The objective function corresponding to the setting target of the second key excitation parameter is:

[0074]

[0075] Among them, J is the objective function, that is, the integral of the square of the active power deviation in the time 0-T, T is the time interval, e 2 (t) is the square of the active power deviation, Δi d is the reactive current increment of the d-axis, and Δu is the voltage change.

[0076] Furthermore, in the embodiment of the present application, after the first key excitation parameter and the second key excitation parameter are adjusted, it is necessary to integrate the adjusted first key excitation parameter and the adjusted second key excitation parameter and input them into the compressed air energy storage excitation system, so as to obtain excitation parameters with better performance of the excitation system in both the peak shaving and phase modulation modes of the compressed air energy storage unit when the scenes are frequently switched.

[0077] In order to enable those skilled in the art to more clearly understand the excitation parameter setting method of the peak-shaving-phase-adjusting mode of the compressed air energy storage unit of the present application, the following is combined with Figure 2 To explain:

[0078] Step S201, collecting key parameters of the excitation system, and performing data cluster analysis with the goal of optimal peak regulation and maximum phase regulation;

[0079] Step S202, using K-means++ combined with iterative self-organizing data analysis to determine the best centroid, and assigning various types of typical data to the modes corresponding to peak modulation and phase modulation according to the distance between each parameter vector and the centroid;

[0080] Step S203, taking the optimal small signal dynamic regulation performance and the maximum effective reactive current gain as optimization targets, respectively, and taking the main sensitive parameters in each mode as variables, the excitation system parameters are adjusted, and two sets of excitation parameters are obtained and then integrated and input into the compressed air energy storage excitation system.

[0081] In summary, based on the detailed description of the above specific embodiments, the embodiments of the present application can achieve the following beneficial effects:

[0082] (1) Improve system stability. By optimizing excitation parameters, the stability of CAES (Compressed Air Energy Storage) units in peak load and phase modulation modes is improved.

[0083] (2) Improve system efficiency. By adjusting and optimizing the excitation parameters, the overall efficiency of the CAES unit is improved. Optimizing the excitation parameters makes the turbine system more efficient during the power generation process, reduces energy loss, improves the efficiency of converting compressed air potential energy into electrical energy, and reduces reactive power loss, thereby improving the overall efficiency of the system.

[0084] (3) Improve system flexibility and optimize excitation parameters so that the turbine system can quickly switch between different modes, thereby improving the system's response speed and being able to quickly adapt to changes in grid demand. At the same time, it can operate efficiently in peak-shaving mode and phase-shifting mode, thereby improving the system's multi-mode operation capability.

[0085] According to the method for setting the excitation parameters of the peak-shaving-phase-adjusting mode of the compressed air energy storage unit in the embodiment of the present invention, the key parameters of the first excitation system in the peak-shaving mode and the key parameters of the second excitation system in the phase-adjusting mode are obtained, and the key parameters of the first excitation system and the second excitation system are clustered and analyzed using the optimal peak-shaving strategy and the maximum phase-adjusting strategy respectively to obtain the best quality center, and the key parameters of the first excitation system and the second excitation system are clustered and divided according to the distance between the vector of each parameter and the best quality center to obtain the first key excitation parameter and the second key excitation parameter, and they are adjusted, and then integrated to obtain the excitation parameters of the compressed air energy storage unit that take into account the peak-shaving-phase-adjusting mode. Thus, the problem that the excitation parameters adjusted in the peak-shaving mode of the compressed air energy storage system are not effective in the phase-adjusting mode when switching between multiple modes is solved. The key parameters of the excitation system in the peak-shaving and phase-adjusting modes are clustered and analyzed by the cluster analysis method to determine the key excitation parameters in the two modes, and to adjust and integrate them, so as to achieve that when the scenes are frequently switched, the excitation system of the compressed air energy storage system in the peak-shaving and phase-adjusting modes has good performance.

[0086] Next, the excitation parameter setting device of the peak-shaving and phase-adjusting mode of the compressed air energy storage unit proposed in the embodiment of the present application is described with reference to the accompanying drawings.

[0087] Figure 3 It is a block diagram of an excitation parameter setting device for a compressed air energy storage unit in a peak-shaving and phase-adjusting mode according to an embodiment of the present application.

[0088] like Figure 3 As shown, the excitation parameter setting device 10 of the peak-shaving and phase-adjusting mode of the compressed air energy storage unit includes: an acquisition module 100, a cluster analysis module 200 and a setting module 300.

[0089] Among them, the acquisition module 100 is used to obtain the key parameters of the first excitation system in the peak-shaving mode and the key parameters of the second excitation system in the phase-adjusting mode in the compressed air energy storage unit;

[0090] The cluster analysis module 200 is used to perform cluster analysis on the key parameters of the first excitation system using the optimal peak-shaving strategy based on a preset cluster analysis method, and to perform cluster analysis on the key parameters of the second excitation system using the maximum phase-adjustment strategy, so as to obtain the best quality center of the key parameters of the first excitation system and the key parameters of the second excitation system, and to perform cluster division on the key parameters of the first excitation system and the second excitation system according to a first distance between the vector of the key parameters of the first excitation system and the best quality center and a second distance between the vector of the key parameters of the second excitation system and the best quality center, so as to obtain the first key excitation parameter in the peak-shaving mode and the second key excitation parameter in the phase-adjustment mode;

[0091] The setting module 300 is used to set the first key excitation parameter and the second key excitation parameter, and integrate the set first key excitation parameter and the set second key excitation parameter to obtain the excitation parameter of the compressed air energy storage unit that takes into account the peak regulation and phase regulation mode.

[0092] According to one embodiment of the present invention, the cluster analysis module 200 includes:

[0093] A first cluster analysis unit is used to perform cluster analysis on key parameters of the first excitation system based on a preset cluster analysis method and using an optimal small signal dynamic adjustment strategy to obtain first key excitation parameters;

[0094] The second cluster analysis unit is used to perform cluster analysis on the key parameters of the second excitation system based on a preset cluster analysis method and using a maximum effective reactive current gain strategy to obtain second key excitation parameters.

[0095] According to one embodiment of the present invention, the setting module 300 includes:

[0096] The first judgment unit is used to judge whether the working state of the turbine system in the compressed air energy storage unit in the peak load mode is a power generation state;

[0097] The first determination unit is used to determine the setting target of the first key excitation parameter and convert the potential energy of the compressed air into electrical energy if the working state of the turbine system in the peak-shaving mode is the power generation state, otherwise, generate a fault reminder.

[0098] According to one embodiment of the present invention, the setting module 300 includes:

[0099] The second judgment unit is used to judge whether the turbine system in the compressed air energy storage unit is in a phase adjustment state in the peak load mode;

[0100] The second determination unit is used to determine the setting target of the second key excitation parameter if the turbine system is in a phase adjustment state in the peak regulation mode, and use the turbine system to adjust the second key excitation parameter to provide reactive power.

[0101] According to one embodiment of the present invention, the objective function corresponding to the setting target of the first key excitation parameter is:

[0102] minJ=∫0 T e 2 (t)dt

[0103] The objective function corresponding to the setting target of the second key excitation parameter is:

[0104]

[0105] Among them, J is the objective function, T is the time interval, e 2 (t) is the square of the active power deviation, Δi d is the reactive current increment of the d-axis, and Δu is the voltage change.

[0106] According to the excitation parameter setting device of the peak-shaving-phase-adjusting mode of the compressed air energy storage unit of the embodiment of the present invention, the key parameters of the first excitation system in the peak-shaving mode and the key parameters of the second excitation system in the phase-adjusting mode are obtained, and the key parameters of the first excitation system and the second excitation system are clustered and analyzed using the optimal peak-shaving strategy and the maximum phase-adjusting strategy respectively to obtain the best quality center, and the first excitation system key parameters and the second excitation system key parameters are clustered and divided according to the distance between the vector of each parameter and the best quality center, to obtain the first key excitation parameter and the second key excitation parameter, and to adjust them, and then to integrate them, to obtain the excitation parameters of the compressed air energy storage unit that take into account the peak-shaving-phase-adjusting mode. Thus, the problem that the excitation parameters adjusted in the peak-shaving mode of the compressed air energy storage system are not effective in the phase-adjusting mode when switching between multiple modes is solved. The key parameters of the excitation system in the peak-shaving and phase-adjusting modes are clustered and analyzed by the cluster analysis method, and the key excitation parameters in the two modes are determined, and they are adjusted and integrated, so that when the scenes are frequently switched, the excitation system of the compressed air energy storage system in the peak-shaving and phase-adjusting modes has good performance.

[0107] Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. The electronic device may include:

[0108] Memory 401 , processor 402 , and a computer program stored in the memory 401 and executable on the processor 402 .

[0109] When the processor 402 executes the program, the excitation parameter setting method of the peak-shaving-phase-adjusting mode of the compressed air energy storage unit provided in the above embodiment is implemented.

[0110] Furthermore, the electronic device further comprises:

[0111] The communication interface 403 is used for communication between the memory 401 and the processor 402 .

[0112] The memory 401 is used to store computer programs that can be executed on the processor 402 .

[0113] The memory 401 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0114] If the memory 401, the processor 402 and the communication interface 403 are implemented independently, the communication interface 403, the memory 401 and the processor 402 can be connected to each other through a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 4 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0115] Optionally, in a specific implementation, if the memory 401, the processor 402 and the communication interface 403 are integrated on a chip, the memory 401, the processor 402 and the communication interface 403 can communicate with each other through an internal interface.

[0116] The processor 402 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0117] This embodiment also provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the excitation parameter setting method of the peak-shaving and phase-shaving mode of the compressed air energy storage unit is implemented as above.

[0118] An embodiment of the present invention further provides a computer program product, including a computer program / instruction, which implements the steps of the method in the above embodiment when executed by a processor.

[0119] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0120] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0121] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0122] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or N wirings (electronic devices), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or otherwise processing in a suitable manner if necessary, and then stored in a computer memory.

[0123] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiment, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0124] A person skilled in the art may understand that all or part of the steps in the above-mentioned embodiment method may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0125] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0126] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A method for setting excitation parameters of a compressed air energy storage unit in peak-shaving and phase-adjusting mode, characterized in that: The following steps are involved: Obtain key parameters of the first excitation system in the peak-shaving mode and key parameters of the second excitation system in the phase-shaving mode in the compressed air energy storage unit; Based on a preset cluster analysis method, cluster analysis is performed on the key parameters of the first excitation system using an optimal peak-shaving strategy, and cluster analysis is performed on the key parameters of the second excitation system using a maximum phase-adjustment strategy to obtain the best quality centers of the key parameters of the first excitation system and the second excitation system, and clustering and dividing the key parameters of the first excitation system and the second excitation system according to a first distance between a vector of the key parameters of the first excitation system and the best quality center and a second distance between a vector of the key parameters of the second excitation system and the best quality center to obtain the first key excitation parameters in the peak-shaving mode and the second key excitation parameters in the phase-adjustment mode; The first key excitation parameter and the second key excitation parameter are adjusted, and the adjusted first key excitation parameter and the adjusted second key excitation parameter are integrated to obtain the excitation parameter of the compressed air energy storage unit that takes into account the peak regulation and phase regulation mode.

2. The method according to claim 1, characterized in that The cluster analysis of the key parameters of the first excitation system using the optimal peak regulation strategy and the cluster analysis of the key parameters of the second excitation system using the maximum phase regulation strategy include: Based on the preset cluster analysis method, using the optimal small signal dynamic adjustment strategy, cluster analysis is performed on the key parameters of the first excitation system to obtain the first key excitation parameters; Based on the preset cluster analysis method, a cluster analysis is performed on the key parameters of the second excitation system using the maximum effective reactive current gain strategy to obtain the second key excitation parameters.

3. The method according to claim 1, characterized in that The step of setting the first key excitation parameter comprises: Determining whether the working state of the turbine system in the compressed air energy storage unit under the peak load mode is a power generation state; If the working state of the turbine system in the peak shaving mode is the power generation state, the setting target of the first key excitation parameter is determined, and the potential energy of the compressed air is converted into electrical energy; otherwise, a fault reminder is generated.

4. The method according to claim 1, characterized in that The step of setting the second key excitation parameter includes: Determining whether the turbine system in the compressed air energy storage unit is in a phase adjustment state under the peak load mode; If the turbine system is in the phase adjustment state in the peak regulation mode, a setting target of the second key excitation parameter is determined, and the turbine system is used to adjust the second key excitation parameter to provide reactive power.

5. The method according to claim 3 or 4, characterized in that: The objective function corresponding to the setting target of the first key excitation parameter is: minJ=∫0 T of 2 (t)dt The objective function corresponding to the setting target of the second key excitation parameter is: Among them, J is the objective function, T is the time interval, e 2 (t) is the square of the active power deviation, Δi d is the reactive current increment of the d-axis, and Δu is the voltage change.

6. An excitation parameter setting device for a compressed air energy storage unit in peak-shaving and phase-adjusting mode, characterized in that: include: An acquisition module is used to acquire key parameters of the first excitation system in the peak-shaving mode and key parameters of the second excitation system in the phase-adjusting mode in the compressed air energy storage unit; a cluster analysis module, configured to perform cluster analysis on the first excitation system key parameters using an optimal peak-shaving strategy based on a preset cluster analysis method, and to perform cluster analysis on the second excitation system key parameters using a maximum phase-adjustment strategy, to obtain the best quality center of the first excitation system key parameters and the second excitation system key parameters, and to perform cluster division on the first excitation system key parameters and the second excitation system key parameters according to a first distance between a vector of the first excitation system key parameters and the best quality center and a second distance between a vector of the second excitation system key parameters and the best quality center, to obtain the first key excitation parameters in the peak-shaving mode and the second key excitation parameters in the phase-adjustment mode; A setting module is used to set the first key excitation parameter and the second key excitation parameter, and integrate the set first key excitation parameter and the set second key excitation parameter to obtain the excitation parameter of the compressed air energy storage unit that takes into account the peak regulation and phase regulation mode.

7. The device according to claim 6, characterized in that The cluster analysis module comprises: A first cluster analysis unit, configured to perform cluster analysis on the key parameters of the first excitation system based on the preset cluster analysis method and using an optimal small signal dynamic adjustment strategy to obtain the first key excitation parameters; The second cluster analysis unit is used to perform cluster analysis on the key parameters of the second excitation system based on the preset cluster analysis method and using the maximum effective reactive current gain strategy to obtain the second key excitation parameters.

8. The device according to claim 6, characterized in that The setting module comprises: A first judgment unit is used to judge whether the working state of the turbine system in the compressed air energy storage unit under the peak load mode is a power generation state; The first determination unit is used to determine the setting target of the first key excitation parameter and convert the potential energy of the compressed air into electrical energy if the working state of the turbine system in the peak regulation mode is the power generation state, otherwise, generate a fault reminder.

9. The device according to claim 6, characterized in that The setting module comprises: A second judgment unit is used to judge whether the turbine system in the compressed air energy storage unit is in a phase adjustment state under the peak load mode; The second determination unit is used to determine the setting target of the second key excitation parameter if the turbine system is in the phase adjustment state in the peak regulation mode, and use the turbine system to adjust the second key excitation parameter to provide reactive power.

10. The device according to claim 8 or 9, characterized in that The objective function corresponding to the setting target of the first key excitation parameter is: minJ=∫0 T of 2 (t)dt The objective function corresponding to the setting target of the second key excitation parameter is: Among them, J is the objective function, T is the time interval, e 2 (t) is the square of the active power deviation, Δi d is the reactive current increment of the d-axis, and Δu is the voltage change.

11. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the excitation parameter setting method for the peak-shaving and phase-adjusting mode of a compressed air energy storage unit as described in any one of claims 1 to 5.

12. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program is executed by a processor to implement the excitation parameter setting method of the peak-shaving-phase-adjusting mode of the compressed air energy storage unit as described in any one of claims 1 to 5.

13. A computer program product, comprising a computer program, characterized in that The computer program is executed to implement the excitation parameter setting method of the peak-shaving-phase-adjusting mode of the compressed air energy storage unit as described in any one of claims 1-5.

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