Coal mine power grid operation optimization method and system based on energy storage composite control

Abstract

The invention discloses a coal mine power grid operation optimization method and system based on energy storage composite control, and belongs to the technical field of coal mine power grid operation optimization, and the method comprises the steps: S10, collecting the operation parameters of a coal mine power grid, the operation parameters comprise the operation parameters of key components of the coal mine power grid, and the key components comprise a power supply, a power transmission line and power transformation and distribution equipment; an electrical model is constructed based on the operation parameters of the key components; the operation parameters comprise power, load, current and voltage; and S20, carrying out characteristic analysis on the operation parameters, and carrying out energy storage system configuration on the coal mine power grid according to the analyzed characteristics. According to the method, the change rules of the operation parameters in different production periods are analyzed, energy storage control optimization is carried out based on the rules, the operation state of the coal mine power grid can be pre-judged in advance, optimization measures can be taken in time, and the power supply reliability of the coal mine power grid is enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of optimization of coal mine power grid operation, and particularly to a method and system for optimizing coal mine power grid operation based on energy storage composite control. Background Art

[0002] As an important infrastructure for coal mine production, the stable and efficient operation of the coal mine power grid is crucial for ensuring coal mine safety production. Under the dual pressures of environmental pollution and fossil energy crisis, distributed generation technologies such as wind power and photovoltaic power have developed rapidly, and their roles in power supply and low-carbon life have become increasingly obvious. However, the coal mine power grid still has problems such as large load fluctuations, high requirements for power supply reliability, and difficulty in guaranteeing power quality.

[0003] Regarding the research in this aspect, the application document with the application number CN201910696249.3 provides a control method for a combined cooling, heating and power supply system with an electro-thermal composite energy storage device. The technical solution includes steps such as obtaining load data, charging power limit of the energy storage system, total limit of surplus electric energy storage, grid charging during low electricity price periods, discharging of the energy storage system, heat storage of the heat storage system, and heat release of the heat storage system. This technical solution combines the power and capacity limitations of the energy storage device and the heat storage device to optimize the management of system energy distribution, thereby improving the operating efficiency of the unit and the energy utilization efficiency, and reducing the system operating cost.

[0004] Another application document with the application number CN201610914762.1 provides an energy management and control optimization method based on composite energy storage. Its composite energy storage system consists of a supercapacitor and a battery. This technical solution distributes the total power of the composite energy storage through a low-pass filter, enabling the supercapacitor and the battery to bear the high-frequency component and the low-frequency component in the fluctuating power respectively. Through the constant power control of the bidirectional DC / DC1 converter of the battery and the constant bus voltage control of the bidirectional DC / DC2 converter of the supercapacitor, as well as the control strategy of the bidirectional DC / AC converter, the network loss of the distribution network is reduced, the utilization efficiency of new energy is improved, the power fluctuation during the grid connection of the microgrid is effectively suppressed, and the power quality of the regional power grid is improved.

[0005] However, energy storage composite control strategies are often complex and require considering multiple factors and constraints, such as grid power balance, power quality, and energy storage system status. In the actual operation of the coal mine power grid, in the face of complex working conditions and changing load demands, the control strategies of the above technical solutions are difficult to make decisions and adjustments quickly and accurately, with insufficient adaptability, resulting in unsatisfactory optimization effects. Summary of the Invention

[0006] In view of the above problems existing in the existing technical field of optimization of coal mine power grid operation, the present invention is proposed.

[0007] Therefore, one of the objectives of the present invention is to provide a method and system for optimizing the operation of a coal mine power grid based on energy storage composite control. By monitoring the power flow of the coal mine power grid and monitoring and regulating voltage sags and harmonics, the power quality of the coal mine power grid is effectively improved. And by analyzing the variation laws of the operation parameters in different production periods and optimizing the energy storage control based on these laws, the operation state of the coal mine power grid can be predicted in advance, and optimization measures can be taken in a timely manner, enhancing the power supply reliability of the coal mine power grid.

[0008] To solve the above technical problems, the present invention provides the following technical solutions:

[0009] On the one hand, the present invention provides a method for optimizing the operation of a coal mine power grid based on energy storage composite control, including the following steps:

[0010] S10: Collect the operation parameters of the coal mine power grid. The operation parameters include the operation parameters of the key components of the coal mine power grid. The key components include power sources, transmission lines, and power transformation and distribution equipment, and an electrical model is constructed based on the operation parameters of the key components; the operation parameters include power, load, current, and voltage;

[0011] S20: Conduct characteristic analysis on the operation parameters, and configure an energy storage system for the coal mine power grid according to the analyzed characteristics;

[0012] S30: Obtain the regular changes of the operation parameters based on the characteristic analysis of the operation parameters, and optimize the energy storage control of the coal mine power grid based on the regular changes. The energy storage control optimization includes power balance optimization control and power quality optimization control;

[0013] S40: Differentiate the regular changes, including differentiating them into regular changes during shift handover periods, regular changes during production peak periods, regular changes during equipment maintenance periods, and regular changes during night valley periods, and analyze the associated impacts of the differentiated regular changes on the changes of the operation parameters of the coal mine power grid;

[0014] S50: Generate data sets for different regular changes based on the associated impacts, collect the operation parameters corresponding to the regular changes in each data set, and obtain a set of operation parameters with the most occurrences from the operation parameters; mark the operation parameters as reference operation parameters, where the number of the reference operation parameters is at least 10;

[0015] S60: Obtain the regular changes corresponding to the reference operation parameters, and preset the strategies for optimizing the energy storage control of the coal mine power grid based on the regular changes; when the operation parameters of the coal mine power grid collected in the future period are the same as the reference operation parameters, it is determined that the coal mine power grid is in the state corresponding to the regular changes.

[0016] As a preferred embodiment of the present invention, in S20, feature analysis is performed on the operating parameters, and the analysis methods include time-domain analysis, and the time-domain analysis includes time-domain waveform analysis, statistical analysis, and trend analysis;

[0017] The time-domain waveform analysis is to obtain the time-domain waveform of the operating parameters of the coal mine power grid, and based on the time-domain waveform, obtain the mutation, fluctuation, and transient process of the operating parameters;

[0018] The statistical analysis is to calculate the statistics of the operating parameters, and the statistics include the mean and variance, and obtain the distribution characteristics of the operating parameters according to the statistics;

[0019] The trend analysis is to analyze the change trend of the operating parameters over time and predict the change trend of the operating parameters in the future period.

[0020] As a preferred embodiment of the present invention, feature analysis is also performed on the operating parameters, and the analysis methods include multivariate analysis, and the multivariate analysis includes correlation analysis, multiple regression analysis, and multivariate statistical analysis;

[0021] The correlation analysis is to calculate the correlation coefficient between the operating parameters and obtain the correlation between the operating parameters;

[0022] The multiple regression analysis is to establish a multiple regression model between the operating parameters and obtain the quantitative relationship between the operating parameters;

[0023] The multivariate statistical analysis is to analyze the multivariate characteristics of the operating parameters through multivariate statistical methods; the multivariate statistical methods include multivariate analysis of variance and discriminant analysis.

[0024] As a preferred embodiment of the present invention, in S30, the power balance optimization control is to monitor the power flow situation of the coal mine power grid. When the power flow situation shows power imbalance, the charge and discharge power of the energy storage system is adjusted to achieve the dynamic balance of the power of the coal mine power grid;

[0025] The power quality optimization control is to monitor the voltage sags and harmonics of the coal mine power grid. For the voltage sags, the discharge speed of the energy storage system is adjusted, including accelerating the discharge speed of the energy storage system to provide reactive power support for the coal mine power grid;

[0026] For the voltage harmonics, the harmonic current in the coal mine power grid is filtered through the energy storage system.

[0027] As a preferred embodiment of the present invention, in the statistical analysis, the statistics of the operating parameters are calculated and obtained according to the following formula:

[0028] Among them, ρ represents the mean value;

[0029] In the formula, x i represents the i-th operating parameter, and n represents the total number of operating parameters;

[0030]

[0031] In the formula, θ represents the variance, x i represents the i-th operating parameter, n represents the total number of operating parameters; ρ represents the mean value.

[0032] As a preferred solution of the present invention, wherein: in the S40, according to the analyzed correlation effects, obtain the historical operating parameters of the production peak period and the night valley period, obtain the operating parameters corresponding to the initial periods of the production peak period and the night valley period from the historical operating parameters, divide the initial period into a pre-initial period, a mid-initial period, and a post-initial period, and collect 10-15 operating parameters with the highest occurrence frequency in each period. Generate a database based on the operating parameters. When the coal mine power grid is in the production peak period or the night valley period in the future, collect the operating parameters of the coal mine power grid in the pre-initial period. If the operating parameters are the same as those in the database, it is determined that the operating state of the coal mine power grid is stable; if the operating parameters are different from those in the database, obtain the operating state of the coal mine power grid, and optimize the energy storage control of the coal mine power grid according to the obtained operating state.

[0033] As a preferred solution of the present invention, wherein: if the operating parameters are different from those in the database, calculate the change rule of the operating parameters collected in the pre-initial period based on the operating parameters of the mid-initial period, and calculate according to the calculation method of the absolute change amount, as follows:

[0034] Δx = x 中期 -x 前期 ;

[0035] In the formula, Δx represents the absolute change amount, x 中期 represents the operating parameter of the mid-initial period, x 前期 represents the operating parameter of the mid-initial period;

[0036] It also includes calculating according to the calculation method of the correlation coefficient, as follows:

[0037]

[0038] In the formula, δ represents the correlation coefficient of the operating parameters in the pre-initial period, w represents the correlation coefficient of the operating parameters in the mid-initial period, Cov(x 前期 , x中期 ) represents the covariance of the operating parameters in the initial period of the early stage and the operating parameters in the initial period of the middle stage, σ 前期 and σ 中期 represent the standard deviations of the operating parameters in the initial period of the early stage and the operating parameters in the initial period of the middle stage.

[0039] As a preferred solution of the present invention, wherein: according to the calculation result, if the operating parameters collected in the initial period of the early stage change towards the operating parameters in the initial period of the middle stage, it is determined that the coal mine power grid develops towards a stable operating state; otherwise, in the initial period of the early stage, a calculation period is preset according to the change of the collected operating parameters, including calculating the confidence level of the change of the operating parameters in the initial period of the early stage towards the initial period of the middle stage with every 10 seconds as a calculation period. If the calculated confidence level exceeds 50%, it is determined that the operating parameters of the coal mine power grid will change towards the initial period of the middle stage; otherwise, the energy storage control optimization of the coal mine power grid is started.

[0040] On the other hand, the present invention provides a system applied to a method for optimizing the operation of a coal mine power grid based on energy storage composite control as described above, including:

[0041] A data acquisition module, configured to acquire the operating parameters of the coal mine power grid. The operating parameters include the operating parameters of the key components of the coal mine power grid, and the key components include power sources, transmission lines, and power transformation and distribution equipment. An electrical model is constructed based on the operating parameters of the key components; the operating parameters include power, load, current, and voltage;

[0042] A feature extraction module, the feature extraction module responds to the data acquisition module, and is configured to perform feature analysis on the operating parameters, and configure an energy storage system for the coal mine power grid according to the analyzed features;

[0043] A data analysis module, obtains the regular changes of the operating parameters based on the feature analysis of the operating parameters, and performs energy storage control optimization on the coal mine power grid based on the regular changes. The energy storage control optimization includes power balance optimization control and power quality optimization control;

[0044] A data fusion processing module, the data fusion processing module includes a discrimination unit, a processing unit, and a determination unit;

[0045] The discrimination unit is configured to distinguish the regular changes, including distinguishing the regular changes during shift handover periods, production peak periods, equipment maintenance periods, and night valley periods, and analyze the associated effects of the distinguished regular changes on the changes of the operating parameters of the coal mine power grid;

[0046] The processing unit is used to generate datasets with different regular variations according to the associated influence, collect the operating parameters corresponding to the regular variations in each dataset, and obtain a set of operating parameters with the most occurrences from the operating parameters; mark the operating parameters as reference operating parameters, where the number of the reference operating parameters is at least 10;

[0047] The determination unit is used to obtain the regular variation corresponding to the reference operating parameter and preset a strategy for optimizing the energy storage control of the coal mine power grid based on the regular variation; when the operating parameters of the coal mine power grid collected in the future period are the same as the reference operating parameters, it is determined that the coal mine power grid is in the state corresponding to the regular variation.

[0048] Beneficial effects:

[0049] 1. By monitoring the power flow of the coal mine power grid and adjusting the charge and discharge power of the energy storage system, it can effectively cope with the load fluctuations of the coal mine power grid, maintain the dynamic balance of the grid power, and thus improve the stability of the power grid. Especially in the case of sudden increase or decrease of the load, it can quickly respond and stabilize the operation of the coal mine power grid;

[0050] 2. By monitoring and adjusting the voltage sag and harmonic problems, and using the energy storage system to provide reactive power support and filter harmonic current, it effectively improves the power quality of the coal mine power grid, which is of great significance for reducing equipment failures and production losses caused by power quality problems, and can extend the service life of equipment and reduce maintenance costs;

[0051] 3. By analyzing the variation laws of the operating parameters in different production periods (such as shift change, production peak, equipment maintenance, night low valley, etc.) and optimizing the energy storage control based on these laws, this method can predict the operating state of the power grid in advance and take optimization measures in time, enhancing the power supply reliability of the coal mine power grid and reducing the occurrence of accidents;

[0052] 4. By collecting and analyzing the operating parameters of the coal mine power grid in different initial periods (early stage, middle stage, late stage), establishing a database, and using statistical analysis and multivariate analysis methods, it can more accurately predict the operating state of the power grid in the future period, which helps to formulate optimization strategies in advance and improve the predictability and controllability of the power grid operation;

[0053] 5. By establishing a database of operating parameters and a multiple regression model, it can more accurately identify and diagnose potential problems in the operation of the coal mine power grid, take measures in time for adjustment and optimization, and enhance the fault diagnosis ability of the coal mine power grid. Description of the Drawings

[0054] To more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the accompanying drawings required for the description of the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can be obtained based on these drawings. Among them:

[0055] Figure 1 It is a schematic modular structure diagram of an optimized operation system for a coal mine power grid based on energy storage composite control according to an embodiment of the present invention;

[0056] Figure 2 It is a schematic flowchart of the method according to an embodiment of the present invention;

[0057] Reference numerals in the figure: 110 - data acquisition module; 120 - feature extraction module; 130 - data analysis module; 140 - data fusion processing module; 1401 - discrimination unit; 1402 - processing unit; 1403 - determination unit. Detailed implementation manners

[0058] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions of the embodiments of the present invention in conjunction with the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. Based on the described embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art belong to the scope of protection of the present invention.

[0059] Since the prior art is difficult to make decisions and adjustments quickly and accurately in the face of complex working conditions and changing load demands, and its adaptability is not strong enough, the optimization effect is not ideal.

[0060] Based on this, the present invention proposes an optimized operation method and system for a coal mine power grid based on energy storage composite control. By monitoring the power flow of the coal mine power grid and monitoring and regulating voltage sags and harmonics, it effectively improves the power quality of the coal mine power grid. And by analyzing the variation laws of operation parameters in different production periods and optimizing energy storage control based on these laws, it can predict the operation state of the coal mine power grid in advance and take optimization measures in a timely manner, enhancing the power supply reliability of the coal mine power grid.

[0061] The following will further specifically describe this solution through embodiments in conjunction with the accompanying drawings.

[0062] Refer to Figures 1 to 2 , which is an embodiment of the present invention. This embodiment provides an optimized operation method for a coal mine power grid based on energy storage composite control, including the following steps:

[0063] S10: Collect the operating parameters of the coal mine power grid. The operating parameters include the operating parameters of the key components of the coal mine power grid. The key components include power sources, transmission lines, and power transformation and distribution equipment, and construct an electrical model based on the operating parameters of the key components; The operating parameters include power, load, current, and voltage;

[0064] S20: Conduct feature analysis on the operating parameters, and configure the energy storage system for the coal mine power grid according to the analyzed features;

[0065] In this embodiment, the energy storage system includes lithium-ion batteries, supercapacitors, and flywheel energy storage;

[0066] By performing time-domain analysis (time-domain waveform analysis, statistical analysis, and trend analysis) on the operating parameters, the characteristics of the operating parameters can be comprehensively understood, including mutations, fluctuations, transient processes, distribution characteristics, and change trends. Based on these analysis results, the energy storage system can be reasonably configured;

[0067] S30: Obtain the regular changes of the operating parameters based on the feature analysis of the operating parameters, and optimize the energy storage control of the coal mine power grid based on the regular changes. The energy storage control optimization includes power balance optimization control and power quality optimization control;

[0068] In this embodiment, the dynamic balance of the coal mine power grid and the improvement of power quality are achieved, and equipment failures and production losses caused by load fluctuations and power quality problems are reduced;

[0069] S40: Distinguish the regular changes, including distinguishing them into regular changes during shift handover periods, production peak periods, equipment maintenance periods, and night valley periods, and analyze the associated impacts of the distinguished regular changes on the changes of the operating parameters of the coal mine power grid;

[0070] In this embodiment, the regular changes are distinguished into shift handover periods, production peak periods, equipment maintenance periods, and night valley periods, and the associated impacts of these periods on the changes of the operating parameters are analyzed, which can more carefully understand the laws of power grid operation; At the same time, it provides targeted strategies for the optimization control of different production periods, improving the adaptability and effectiveness of the optimization measures;

[0071] In this embodiment, further explained, during the shift handover period, the coal mine usually implements a multi-shift work system. During shift handover, the staff of the previous shift will gradually stop the operation of some equipment, and the staff of the next shift will restart the equipment according to the production plan. For example, in the mining face, after the coal shearer, roadheader and other equipment of the previous shift stop, the next shift may need to reposition and start the equipment, which will cause a large fluctuation in the power grid load in a short period of time;

[0072] At this time, parameters such as the active power, reactive power, and current of the power grid will change suddenly. If equipment starts and stops intensively, it may also cause voltage sags or swells in the power grid, affecting the power quality of the grid.

[0073] During peak production hours, during the peak production hours of the coal mine, such as normal production hours during the day, almost all equipment such as excavation, transportation, and ventilation are put into operation, and the grid load reaches a relatively high level. At this time, if the production task is urgent or the equipment has a sudden failure, it may further increase the operating pressure of the grid.

[0074] At this time, the power factor of the power grid may decrease, the voltage stability is challenged, and the frequency may also fluctuate to a certain extent. In addition, due to the full-load operation of the equipment, the harmonic content in the power grid may increase, affecting the power quality.

[0075] During equipment maintenance periods, coal mine equipment needs to be regularly maintained and repaired to ensure the normal operation of the equipment and safe production. During equipment maintenance, some equipment will stop running, resulting in changes in the grid load. If the maintenance involves key equipment such as main ventilation fans and main hoists, it may also have a greater impact on the operation of the entire coal mine power grid.

[0076] At this time, the grid load level decreases, the power factor may improve to some extent, but the voltage may rise to a certain extent. At the same time, due to the outage of the equipment, the short-circuit capacity of the grid may change, affecting the protection setting and operation stability of the grid.

[0077] During the night valley period, at night, the production activities in the coal mine are relatively reduced, and some non-critical equipment may stop running. The grid load is at a relatively low level. At this time, if there are renewable energy power generation equipment (such as small wind power generation, solar power generation, etc.) in the grid, its power generation may be relatively stable, but the matching degree with the grid load decreases.

[0078] At this time, the voltage of the power grid may rise, the power factor may be good, but the stability and reliability of the power grid still need attention. In addition, the spare capacity of the power grid at night is relatively large. If a fault occurs, it may cause large voltage fluctuations in the power grid, affecting the safe operation of the equipment.

[0079] It also includes weather change periods. The operation of the coal mine power grid is also affected by external weather conditions. For example, during thunderstorm weather, the power grid may be interfered by natural factors such as lightning strikes, resulting in power grid failures or voltage fluctuations; during high-temperature weather, the heat dissipation problem of the equipment may cause the equipment to operate overloaded, increasing the burden on the power grid.

[0080] At this time, in thunderstorm weather, the power grid may experience short-term voltage sags, swells or flickers, and may even cause power outages. In hot weather, the load on the power grid may increase, and the temperature rise of equipment may lead to an increase in equipment failure rate, affecting the stable operation of the power grid;

[0081] S50: Generate datasets on different regular variations based on associated impacts, collect operating parameters corresponding to the regular variations in each dataset, and obtain a set of operating parameters with the most occurrences from the operating parameters; Mark the operating parameters as reference operating parameters, where the number of reference operating parameters is at least 10;

[0082] In this embodiment, through a data-driven method, it is ensured that the optimization strategy can be adjusted based on actual operating data, improving the scientificity and accuracy of the optimization strategy;

[0083] S60: Obtain the regular variations corresponding to the reference operating parameters, and preset the strategy for optimizing the energy storage control of the coal mine power grid based on the regular variations; When the operating parameters of the coal mine power grid collected in the future period are the same as the reference operating parameters, it is determined that the coal mine power grid is in the state of the corresponding regular variation;

[0084] In this embodiment, the preset strategy for the composite energy storage control of the coal mine power grid includes power balance optimization control and power quality optimization control;

[0085] Presetting the optimization strategy according to the reference operating parameters and determining whether the power grid is in the state of the corresponding regular variation during real-time operation can realize the real-time monitoring and optimization control of the power grid operating state;

[0086] In S20, perform feature analysis on the operating parameters, and the analysis methods include time-domain analysis. Time-domain analysis includes time-domain waveform analysis, statistical analysis, and trend analysis;

[0087] Time-domain waveform analysis is to obtain the time-domain waveform of the operating parameters of the coal mine power grid, and obtain the mutation, fluctuation, and transient process of the operating parameters based on the time-domain waveform;

[0088] In this embodiment, obtain the time-domain waveform of the operating parameters of the coal mine power grid. For example, phenomena such as voltage sags, swells, and short-term interruptions are manifested as obvious waveform changes in the time-domain waveform;

[0089] Statistical analysis is to calculate the statistics of the operating parameters. The statistics include the mean and variance, and obtain the distribution characteristics of the operating parameters according to the statistics;

[0090] In this embodiment, calculate the statistics of the operating parameters. For example, by calculating the mean and standard deviation of the voltage, it can be judged whether the power grid voltage is stable;

[0091] Trend analysis is used to analyze the changing trend of operating parameters over time and predict the changing trend of operating parameters in future periods.

[0092] In this embodiment, the changing trend of operating parameters over time is analyzed. For example, the changing trend of voltage or current is fitted by methods such as linear regression to detect potential anomalies in advance.

[0093] It should be noted that in this embodiment, for the characteristic analysis of operating parameters, the analysis methods also include multivariate analysis, which includes correlation analysis, multiple regression analysis, and multivariate statistical analysis.

[0094] Correlation analysis is to calculate the correlation coefficient between operating parameters to obtain the correlation between operating parameters.

[0095] In this embodiment, the correlation coefficient between operating parameters is calculated. For example, by calculating the correlation coefficient between voltage and current, the load characteristics of the power grid can be judged.

[0096] Multiple regression analysis is to establish a multiple regression model between operating parameters to obtain the quantitative relationship between operating parameters.

[0097] In this embodiment, a multiple regression model between operating parameters is established. For example, through multiple regression analysis, a relationship model between voltage and load can be established to predict voltage changes.

[0098] Multivariate statistical analysis is to analyze the multivariate characteristics of operating parameters through multivariate statistical methods. Multivariate statistical methods include multivariate analysis of variance and discriminant analysis.

[0099] In this embodiment, the multivariate characteristics of operating parameters are analyzed through multivariate statistical methods. For example, through discriminant analysis, the parameters in different operating states can be classified and identified.

[0100] In S30, power balance optimization control is to monitor the power flow of the coal mine power grid. When there is a power imbalance in the power flow, the charge and discharge power of the energy storage system is adjusted to achieve the dynamic balance of the power of the coal mine power grid.

[0101] Power quality optimization control is to monitor the voltage sags and harmonics of the coal mine power grid. For voltage sags, the discharge speed of the energy storage system is adjusted, including accelerating the discharge speed of the energy storage system to provide reactive power support for the coal mine power grid.

[0102] For voltage harmonics, the harmonic current in the coal mine power grid is filtered through the energy storage system.

[0103] In this embodiment, it further includes cooperative optimization control, which cooperatively optimizes the above power balance optimization control and power quality optimization control to achieve the comprehensive control of the energy storage system. By establishing a cooperative control model, comprehensively considering target factors such as power balance and power quality optimization, and using intelligent optimization algorithms (such as genetic algorithms, particle swarm optimization algorithms, etc.) to solve the optimal optimization control, the cooperative control strategy can give full play to the multiple advantages of the energy storage system and achieve the overall optimization of the operation of the coal mine power grid;

[0104] On this basis, in the statistical analysis, calculate the statistic of the operating parameters, which is calculated according to the following formula:

[0105] Among them, ρ represents the mean value;

[0106] In the formula, x i represents the i-th operating parameter, and n represents the total number of operating parameters;

[0107]

[0108] In the formula, θ represents the variance, x i represents the i-th operating parameter, n represents the total number of operating parameters; ρ represents the mean value,

[0109] In S40, according to the analyzed correlation effects, obtain the historical operating parameters of the production peak period and the night low period, obtain the operating parameters corresponding to the initial periods of the production peak period and the night low period from the historical operating parameters, divide the initial period into the early initial period, the middle initial period, and the late initial period, and collect 10 - 15 operating parameters with the most frequent occurrences in each period. Generate a database based on the operating parameters. When the coal mine power grid is in the production peak period or the night low period in the future period, collect the operating parameters of the coal mine power grid in the early initial period. If the operating parameters are the same as those in the database, it is determined that the operating state of the coal mine power grid is stable; if the operating parameters are different from those in the database, obtain the operating state of the coal mine power grid, and optimize the energy storage control of the coal mine power grid according to the obtained operating state.

[0110] Furthermore, if the operating parameters are different from those in the database, calculate the change law of the operating parameters collected in the early initial period based on the operating parameters of the middle initial period, which is calculated according to the calculation method of the absolute change amount, as shown below:

[0111] Δx = x 中期 -x 前期 ;

[0112] In the formula, Δx represents the absolute change amount, x 中期 represents the operating parameter of the middle initial period, x 前期Represent the operating parameters of the initial period in the medium term;

[0113] In this embodiment, the absolute change is the difference between the operating parameters of the initial period in the previous stage and the operating parameters of the initial period in the medium term, which can reflect the absolute change degree of the operating parameters;

[0114] It also includes being calculated according to the calculation method of the correlation coefficient, as shown below:

[0115]

[0116] In the formula, δ represents the correlation coefficient of the operating parameters of the initial period in the previous stage, w represents the correlation coefficient of the operating parameters of the initial period in the medium term, Cov(x 前期 , x 中期 ) represents the covariance of the operating parameters of the initial period in the previous stage and the operating parameters of the initial period in the medium term, σ 前期 and σ 中期 represent the standard deviations of the operating parameters of the initial period in the previous stage and the operating parameters of the initial period in the medium term;

[0117] In this embodiment, the correlation coefficient is the correlation coefficient between the operating parameters of the initial period in the previous stage and the operating parameters of the initial period in the medium term, which can reflect the linear correlation degree between the operating parameters of the two periods;

[0118] By calculating the absolute change and the correlation coefficient of the operating parameters of the initial period in the previous stage and the operating parameters of the initial period in the medium term, the change law of the operating parameters can be quantified, providing a quantitative basis for judging the change trend of the operating parameters and improving the prediction accuracy of the change of the operating state;

[0119] According to the calculation result, if the operating parameters collected in the initial period in the previous stage change towards the operating parameters of the initial period in the medium term, it is determined that the coal mine power grid is developing towards a stable operating state. Otherwise, in the initial period in the previous stage, a calculation period is preset according to the change of the collected operating parameters, including calculating the confidence level of the change of the operating parameters of the initial period in the previous stage towards the initial period in the medium term with every 10 seconds as a calculation period. If the calculated confidence level exceeds 50%, it is determined that the operating parameters of the coal mine power grid will change towards the initial period in the medium term. Otherwise, the energy storage control optimization of the coal mine power grid is started;

[0120] In this embodiment, according to the calculation result, it is judged whether the operating parameters of the initial period in the previous stage change towards the initial period in the medium term, and based on this, an optimization decision is made. By calculating the confidence level, the scientificity and accuracy of the decision are further improved.

[0121] Based on the above, by analyzing the variation laws of operation parameters in different production periods and optimizing energy storage control based on these laws, the operation state of the coal mine power grid can be predicted in advance, and optimization measures can be taken in a timely manner, enhancing the power supply reliability of the coal mine power grid.

[0122] This embodiment combines the above-mentioned operation optimization method of the coal mine power grid based on energy storage composite control, and also proposes a system applied to this method, as follows:

[0123] The data acquisition module 110 is used to acquire the operation parameters of the coal mine power grid. The operation parameters include the operation parameters of the key components of the coal mine power grid. The key components include power sources, transmission lines, and power transformation and distribution equipment, and an electrical model is constructed based on the operation parameters of the key components; the operation parameters include power, load, current, and voltage;

[0124] The feature extraction module 120, which responds to the data acquisition module, is used to perform feature analysis on the operation parameters and configure the energy storage system for the coal mine power grid according to the analyzed features;

[0125] The data analysis module 130 obtains the regular changes of the operation parameters based on the feature analysis of the operation parameters, and optimizes the energy storage control of the coal mine power grid based on the regular changes. The energy storage control optimization includes power balance optimization control and power quality optimization control;

[0126] The data fusion processing module 140 includes a discrimination unit 1401, a processing unit 1402, and a determination unit 1403;

[0127] The discrimination unit 1401 is used to distinguish the regular changes, including distinguishing them into regular changes during shift handover periods, regular changes during production peak periods, regular changes during equipment maintenance periods, and regular changes during night valley periods, and analyzing the associated impacts of the distinguished regular changes on the changes of the operation parameters of the coal mine power grid;

[0128] The processing unit 1402 is used to generate data sets regarding different regular changes according to the associated impacts, collect the operation parameters corresponding to the regular changes in each data set, and obtain a set of operation parameters with the most occurrences in the operation parameters; mark the operation parameters as reference operation parameters, where the number of reference operation parameters is at least 10;

[0129] The determination unit 1403 is used to obtain the regular changes corresponding to the reference operation parameters and preset the strategies for optimizing the energy storage control of the coal mine power grid based on the regular changes; when the operation parameters of the coal mine power grid collected in the future period are the same as the reference operation parameters, it is determined that the coal mine power grid is in the state corresponding to the regular changes.

[0130] In summary, the present invention effectively improves the power quality of the coal mine power grid by monitoring the power flow of the coal mine power grid and monitoring and regulating voltage sags and harmonics. By analyzing the variation laws of the operation parameters in different production periods and optimizing the energy storage control based on these laws, the operation state of the coal mine power grid can be predicted in advance, and optimization measures can be taken in a timely manner, enhancing the power supply reliability of the coal mine power grid.

[0131] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered within the scope of the claims of the present invention.

Claims

1. A method for optimizing the operation of a coal mine power grid based on energy storage composite control, characterized in that It includes the following steps: S10: Collect the operation parameters of the coal mine power grid. The operation parameters include the operation parameters of the key components of the coal mine power grid. The key components include power sources, transmission lines, and power transformation and distribution equipment, and construct an electrical model based on the operation parameters of the key components; the operation parameters include power, load, current, and voltage; S20: Conduct feature analysis on the operation parameters, and configure an energy storage system for the coal mine power grid according to the analyzed features; S30: Obtain the regular changes of the operation parameters based on the feature analysis of the operation parameters, and optimize the energy storage control of the coal mine power grid based on the regular changes. The energy storage control optimization includes power balance optimization control and power quality optimization control; S40: Differentiate the regular changes, including differentiating them into regular changes during shift handover periods, regular changes during peak production periods, regular changes during equipment maintenance periods, and regular changes during night valley periods, and analyze the associated impacts of the differentiated regular changes on the changes of the operation parameters of the coal mine power grid; S50: Generate data sets for different regular changes based on the associated impacts, collect the operation parameters corresponding to the regular changes in each data set, and obtain a set of operation parameters with the most occurrences from the operation parameters; mark the operation parameters as reference operation parameters, where the number of the reference operation parameters is at least 10; S60: Obtain the regular changes corresponding to the reference operation parameters, and preset the strategies for optimizing the energy storage control of the coal mine power grid based on the regular changes; when the operation parameters of the coal mine power grid collected in the future period are the same as the reference operation parameters, it is determined that the coal mine power grid is in the state corresponding to the regular changes.

2. The operation optimization method of a coal mine power grid based on energy storage composite control according to claim 1, wherein In the S20, conduct feature analysis on the operation parameters. The analysis methods include time-domain analysis, and the time-domain analysis includes time-domain waveform analysis, statistical analysis, and trend analysis; The time-domain waveform analysis is to obtain the time-domain waveform of the operation parameters of the coal mine power grid, and obtain the mutations, fluctuations, and transient processes of the operation parameters based on the time-domain waveform; The statistical analysis is to calculate the statistical quantities of the operation parameters. The statistical quantities include mean and variance, and obtain the distribution characteristics of the operation parameters according to the statistical quantities; The trend analysis is to analyze the change trend of the operation parameters over time and predict the change trend of the operation parameters in the future period.

3. The operation optimization method of a coal mine power grid based on energy storage composite control according to claim 2, characterized in that, The analysis methods for conducting feature analysis on the operation parameters also include multivariate analysis. The multivariate analysis includes correlation analysis, multiple regression analysis, and multivariate statistical analysis; The correlation analysis is to calculate the correlation coefficients between the operation parameters and obtain the correlations between the operation parameters; The multiple regression analysis is to establish a multiple regression model between the operation parameters and obtain the quantitative relationships between the operation parameters; The multivariate statistical analysis is to analyze the multivariate characteristics of the operation parameters through multivariate statistical methods; the multivariate statistical methods include multivariate analysis of variance and discriminant analysis.

4. The operation optimization method of a coal mine power grid based on energy storage composite control according to claim 1, wherein In the step S30, the power balance optimization control is to monitor the power flow of the coal mine power grid. When the power flow is unbalanced, the charge and discharge power of the energy storage system is adjusted to achieve the dynamic balance of the power of the coal mine power grid; The power quality optimization control is to monitor the voltage sags and harmonics of the coal mine power grid. For the voltage sags, the discharge speed of the energy storage system is adjusted, including accelerating the discharge speed of the energy storage system to provide reactive power support for the coal mine power grid; For the voltage harmonics, the harmonic current in the coal mine power grid is filtered by the energy storage system.

5. The operation optimization method of a coal mine power grid based on energy storage composite control according to claim 2, characterized in that In the statistical analysis, the statistic of the operation parameters is calculated according to the following formula: Among them, ρ represents the mean value; where x i represents the i-th operating parameter, and n represents the total number of operating parameters; Where, θ represents variance, and x i represents the i-th operating parameter, n represents the total number of operating parameters; ρ represents the mean value.

6. The operation optimization method of a coal mine power grid based on energy storage composite control according to claim 1, characterized in that, In the step S40, according to the analyzed correlation effects, the historical operation parameters of the production peak period and the night valley period are obtained. From the historical operation parameters, the operation parameters corresponding to the initial periods of the production peak period and the night valley period are obtained. The initial period is divided into a pre-initial period, a mid-initial period, and a post-initial period, and 10-15 operation parameters with the most frequent occurrences in each period are collected. Based on the operation parameters, a database is generated. When the coal mine power grid is in the production peak period or the night valley period in the future, the operation parameters of the coal mine power grid in the pre-initial period are collected. If the operation parameters are the same as the operation parameters in the database, it is determined that the operation state of the coal mine power grid is stable; if the operation parameters are different from the operation parameters in the database, the operation state of the coal mine power grid is obtained, and the energy storage control of the coal mine power grid is optimized according to the obtained operation state.

7. The operation optimization method of a coal mine power grid based on energy storage composite control according to claim 6, wherein If the operation parameters are different from the operation parameters in the database, the change law of the operation parameters collected in the pre-initial period is calculated based on the operation parameters in the mid-initial period, and is calculated according to the calculation method of the absolute change amount, as follows: Δx = x 中期 -x 前期 ; where Δx represents the absolute change amount, and x 中期 represents the operation parameter at the initial period of the medium term, and x 前期 represents the operation parameter at the initial period of the medium term; It also includes being calculated according to the calculation method of the correlation coefficient, as follows: Wherein, δ represents the correlation coefficient of the operation parameters in the initial period of the previous stage, w represents the correlation coefficient of the operation parameters in the initial period of the middle stage, Cov(x 前期 , x 中期 ) represents the covariance of the operation parameters in the initial period of the previous stage and the operation parameters in the initial period of the middle stage, σ 前期 and σ 中期 represent the standard deviations of the operation parameters in the initial period of the previous stage and the operation parameters in the initial period of the middle stage.

8. The operation optimization method for a coal mine power grid based on energy storage composite control according to claim 7, wherein According to the calculation result, if the operation parameters collected in the pre-initial period change towards the operation parameters in the mid-initial period, it is determined that the coal mine power grid is developing towards a stable operation state. Otherwise, in the pre-initial period, a calculation period is preset according to the change of the collected operation parameters, including calculating the confidence level of the change of the operation parameters in the pre-initial period towards the mid-initial period with every 10 seconds as a calculation period. If the calculated confidence level exceeds 50%, it is determined that the operation parameters of the coal mine power grid will change towards the mid-initial period. Otherwise, the energy storage control optimization of the coal mine power grid is started.

9. A system applied to an optimized operation method of a coal mine power grid based on energy storage composite control as described in claim 1, characterized in that, It includes: A data acquisition module for acquiring the operation parameters of the coal mine power grid. The operation parameters include the operation parameters of the key components of the coal mine power grid. The key components include power sources, transmission lines, and power transformation and distribution equipment, and an electrical model is constructed based on the operation parameters of the key components; the operation parameters include power, load, current, and voltage; A feature extraction module. The feature extraction module responds to the data acquisition module and is used for performing feature analysis on the operation parameters and configuring the energy storage system for the coal mine power grid according to the analyzed features; The data analysis module obtains the regular changes of the operating parameters based on the characteristic analysis of the operating parameters, and optimizes the energy storage control of the coal mine power grid based on the regular changes. The energy storage control optimization includes power balance optimization control and power quality optimization control; The data fusion processing module, which includes a distinguishing unit, a processing unit and a determination unit; The distinguishing unit is used to distinguish the regular changes, including distinguishing the regular changes during the shift handover period, the regular changes during the production peak period, the regular changes during the equipment maintenance period and the regular changes during the night valley period, and analyzing the associated impacts of the distinguished regular changes on the changes of the operating parameters of the coal mine power grid; The processing unit is used to generate data sets for different regular changes according to the associated impacts, collect the operating parameters corresponding to the regular changes in each data set, and obtain a set of operating parameters with the most occurrences from the operating parameters; mark the operating parameters as reference operating parameters, where the number of the reference operating parameters is at least 10; The determination unit is used to obtain the regular changes corresponding to the reference operating parameters, and preset the strategies for optimizing the energy storage control of the coal mine power grid based on the regular changes; when the operating parameters of the coal mine power grid collected in the future period are the same as the reference operating parameters, it is determined that the coal mine power grid is in the state of the corresponding regular change.

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