A Microgrid Group Anti-Disturbance Control Method, Device, Equipment, and Storage Medium

Abstract

The present application discloses a method, device, equipment and storage medium for anti-disturbance control of a microgrid group. The method includes: obtaining voltage data of the microgrid group during a preset operation period, and obtaining the topology of the microgrid group according to the Pearson correlation coefficient between the voltage data; real-time monitoring the meter data of each microgrid, and reporting the microgrid information corresponding to the disturbed microgrid to the main station; adjusting the frequency and voltage control parameters of the generator of the disturbed microgrid through droop control, obtaining the frequency adjustment amount of the disturbed microgrid, positioning the neighbor microgrids of the disturbed microgrid according to the topology of the microgrid group, and calculating the frequency adjustment amounts of the neighbor microgrids; adjusting the output power of the generators of the corresponding microgrids according to the frequency adjustment amount of the disturbed microgrid and the frequency adjustment amounts of the neighbor microgrids to achieve cooperative control. The technical problems of reduced system stability, security and reliability caused by disturbances in the microgrid group are improved.

Description

Technical Field

[0001] The present application relates to the technical field of microgrid control, and particularly to a method, device, equipment and storage medium for anti-disturbance control of a microgrid group. Background Art

[0002] With the increasing attention to renewable energy and environmental issues, traditional power grids have encountered many challenges in terms of unstable energy supply, increased energy security risks, and environmental pollution. The centralized structure of traditional power grids makes them vulnerable to factors such as weather and equipment failures, resulting in many problems such as unstable power supply and frequent power grid accidents. In addition, traditional power grids rely extremely on fossil energy, causing serious environmental impacts. To address these challenges, microgrid groups have emerged. Microgrids use distributed energy resources and energy storage devices, offering higher reliability and sustainability. It can flexibly adjust energy production and consumption, make more effective use of renewable energy, reduce energy pollution emissions, and improve the resilience and security of the energy system. Therefore, microgrids have important significance and broad development prospects in the context of current energy transformation and environmental protection.

[0003] Although microgrid groups have advantages in terms of flexibility and renewable energy utilization, their anti-disturbance ability may be weak when facing external disturbances or system failures. In the microgrid group system, there are some disturbances with relatively high probabilities, mainly concentrated in power quality and load aspects. Among them, disturbances in power quality may include problems such as voltage fluctuations, frequency variations, and harmonics, while disturbances in the load aspect may involve load fluctuations, sudden loads, and unbalanced loads. These possible disturbances in the microgrid group system will affect the stability, security, and reliability of the system. Therefore, a series of measures need to be taken to reduce the impact of these disturbances. Summary of the Invention

[0004] The present application provides a method, device, equipment and storage medium for anti-disturbance control of a microgrid group, which is used to improve the technical problems of reduced system stability, security, and reliability caused by disturbances in the microgrid group.

[0005] In view of this, in the first aspect of the present application, a method for anti-disturbance control of a microgrid group is provided, including:

[0006] Obtain the voltage data of each microgrid in the microgrid group during a preset operation period, and obtain the topology of the microgrid group according to the Pearson correlation coefficient between the voltage data;

[0007] Real-time monitor the meter data of each microgrid. When a disturbance is detected according to the meter data, report the microgrid information corresponding to the microgrid where the disturbance occurs to the main station;

[0008] Adjust the frequency and voltage control parameters of the generators in the microgrid with disturbances through droop control, obtain the frequency adjustment amount of the microgrid with disturbances, locate the neighbor microgrids of the microgrid with disturbances according to the topological position of the microgrid group, and calculate the frequency adjustment amount of the neighbor microgrids based on the frequency adjustment amount of the microgrid with disturbances;

[0009] Adjust the output power of the generators of the corresponding microgrids according to the frequency adjustment amount of the microgrid with disturbances and the frequency adjustment amount of the neighbor microgrids to achieve coordinated control.

[0010] Optionally, before obtaining the voltage data of each microgrid in the microgrid group during the preset operation period, it further includes:

[0011] Judge whether the total meter of the microgrid group is working properly. If so, execute the subsequent steps. If not, report to the main station.

[0012] Optionally, the obtaining of the topology of the microgrid group according to the Pearson correlation coefficient between the voltage data includes:

[0013] Calculate the Pearson correlation coefficient between each voltage data to obtain the correlation coefficient between each microgrid;

[0014] For each microgrid in the microgrid group, sort the correlation coefficients between each microgrid and other microgrids in descending order, determine the topological position information of each microgrid in the microgrid group, and obtain the topology of the microgrid group.

[0015] Optionally, the real-time monitoring of the meter data of each microgrid includes:

[0016] Obtain the meter data of each microgrid in real time;

[0017] According to the meter data of each microgrid, detect whether the voltage deviation value between the voltage of each microgrid and the nominal voltage value during normal operation exceeds the voltage deviation threshold. If so, determine that the microgrid with the voltage deviation value exceeding the preset deviation threshold has a disturbance;

[0018] Or, according to the meter data of each microgrid, detect whether the frequency deviation value between the frequency of each microgrid and the fixed frequency during normal operation exceeds the frequency deviation threshold. If so, determine that the microgrid with the frequency deviation value exceeding the frequency deviation threshold has a disturbance.

[0019] Optionally, the calculation formula for the frequency adjustment amount of the microgrid with disturbances includes:

[0020]

[0021] In the formula, is the droop control coefficient of the generator of the microgrid, is the frequency adjustment amount of the generator, is the active power adjustment amount at the load of the microgrid.

[0022] Optionally, the calculation formula for the frequency adjustment amount of the neighbor microgrid includes:

[0023]

[0024] In the formula, is the frequency adjustment amount of the generator, is the active power adjustment amount at the load of the microgrid, is the droop control coefficient of the generator of the microgrid, s is the Laplace operator, K sg 、K dg are both intermediate parameters, is the droop control coefficient of the equivalent generator.

[0025] The second aspect of the present application provides a microgrid group anti-disturbance control device, including:

[0026] An acquisition unit, configured to acquire voltage data of each microgrid in the microgrid group during a preset operation period, and obtain the topology of the microgrid group according to the Pearson correlation coefficient between the voltage data;

[0027] A monitoring unit, configured to monitor the meter data of each microgrid in real time, and when a disturbance is detected according to the meter data, report the microgrid information corresponding to the microgrid where the disturbance occurs to the main station;

[0028] A calculation unit, configured to adjust the frequency and voltage control parameters of the generator of the microgrid where the disturbance occurs through droop control, obtain the frequency adjustment amount of the microgrid where the disturbance occurs, locate the neighbor microgrid of the microgrid where the disturbance occurs according to the topology of the microgrid group, and calculate the frequency adjustment amount of the neighbor microgrid based on the frequency adjustment amount of the microgrid where the disturbance occurs;

[0029] An adjustment unit, configured to adjust the output power of the generator of the corresponding microgrid according to the frequency adjustment amount of the microgrid where the disturbance occurs and the frequency adjustment amount of the neighbor microgrid, so as to achieve coordinated control.

[0030] Optionally, the acquisition unit is specifically configured to:

[0031] Acquire the voltage data of each microgrid in the microgrid group during a preset operation period;

[0032] Calculate the Pearson correlation coefficient between each voltage data to obtain the correlation coefficient between each microgrid;

[0033] For each microgrid in the microgrid group, sort the correlation coefficients between each microgrid and other microgrids in descending order, determine the position information topology of each microgrid in the microgrid group, and obtain the topology of the microgrid group.

[0034] A third aspect of the present application provides an electronic device, which includes a processor and a memory;

[0035] The memory is used to store program code and transmit the program code to the processor;

[0036] The processor is used to execute any one of the microgrid group anti-disturbance control methods described in the first aspect according to the instructions in the program code.

[0037] A fourth aspect of the present application provides a computer-readable storage medium, which is used to store program code, and when the program code is executed by a processor, it implements any one of the microgrid group anti-disturbance control methods described in the first aspect.

[0038] It can be seen from the above technical solutions that the present application has the following advantages:

[0039] The present application uses the Pearson algorithm to analyze the topological structure of the microgrid group in combination with voltage data to accurately obtain the connection relationship of the microgrid group, so that when a disturbance occurs in the microgrid is monitored, the microgrids adjacent to the disturbed microgrid can be accurately located according to the topology of the microgrid group, thereby realizing energy mutual transfer; and through droop control, the output power of the generator can be flexibly adjusted when a disturbance occurs in the microgrid to ensure the stable operation of the microgrid group, so that the microgrid group can quickly return to a new equilibrium state after the disturbance, which helps to improve the safety, stability and reliability of the system, and improves the technical problems of reduced system stability, safety and reliability caused by disturbances in the microgrid group. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained according to these drawings without creative efforts.

[0041] Figure 1 It is a flow schematic diagram of a microgrid group anti-disturbance control method provided by an embodiment of the present application;

[0042] Figure 2 It is another flow schematic diagram of a microgrid group anti-disturbance control method provided by an embodiment of the present application;

[0043] Figure 3 It is a droop control curve graph provided by an embodiment of the present application;

[0044] Figure 4 It is an equivalent model diagram of microgrid island operation provided by an embodiment of the present application;

[0045] Figure 5 This is the equivalent model diagram of the coordinated control of the microgrid group provided by the embodiment of the present application;

[0046] Figure 6 This is a schematic structural diagram of an anti-disturbance control device for a microgrid group provided by the embodiment of the present application. Detailed implementation manners

[0047] In order to enable those skilled in the art to better understand the solution of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0048] For the sake of easy understanding, please refer to Figure 1 and Figure 2 , the embodiment of the present application provides an anti-disturbance control method for a microgrid group, including:

[0049] Step 110: Obtain the voltage data of each microgrid in the microgrid group during a preset operation period, and obtain the topology of the microgrid group according to the Pearson correlation coefficient between the voltage data.

[0050] Before obtaining the voltage data, first determine whether the master meter of the microgrid group is working properly. If the master meter is powered off or other faults occur, directly report to the main station and end the operation. If the master meter is working properly, obtain a large amount of voltage data of each microgrid in the microgrid group during a preset operation period, calculate the Pearson correlation coefficient between the voltage data, and obtain the correlation coefficient between each microgrid; for each microgrid in the microgrid group, sort the correlation coefficients between each microgrid and other microgrids in descending order, determine the position information topology of each microgrid in the microgrid group, and obtain the topology of the microgrid group. The Pearson correlation coefficient is applicable to measuring the correlation degree between two variables X and Y, and its value ranges from -1 to 1. The calculation formula of the Pearson correlation coefficient P is as follows:

[0051]

[0052] In the formula, , represent the i-th value of the X and Y variables, n represents the total number of variables, , represent the means of X and Y respectively. The value of P ranges from -1 to 1. The larger the absolute value of P, the higher the correlation between variable X and variable Y; the smaller the absolute value of P, the lower the correlation between variable X and variable Y. The standard table for evaluating the Pearson correlation coefficient is shown in Table 1 below:

[0053] Table 1 Degree of Association of Pearson Correlation Coefficient

[0054]

[0055] Among them, the specific process of obtaining the topology of the microgrid group based on the Pearson correlation coefficient includes:

[0056] 1) Record the total number of microgrids in the microgrid group as n;

[0057] 2) Obtain a large amount of voltage data for each microgrid during the operation period;

[0058] 3) For the kth microgrid, use the Pearson formula to calculate the correlation coefficient P of this microgrid with respect to all other microgrids in the microgrid group k-1 、P k-2 、…、P k-(k-1) 、P k-(k+1) 、…、P k-n ;

[0059] 4) Sort the correlation coefficients of this microgrid with respect to the other microgrids from large to small to obtain the position information topology of this microgrid in the entire microgrid group;

[0060] 5) Repeat steps 3) and 4) to obtain the topology of each microgrid in the microgrid group, and then the overall topology of the microgrid group can be obtained, and it is numbered according to the adjacent sequence. It should be noted that a correlation coefficient matrix can be constructed for the correlation coefficients of each microgrid with other microgrids in the system; then, sort according to the average correlation coefficient of each microgrid with the entire system to determine its position and connection relationship in the system.

[0061] It should be noted that when obtaining the topology of the microgrid group according to the above process, the following conditions need to be met:

[0062] a. Appropriate amount of voltage data is required. For the Pearson correlation coefficient algorithm, the amount of smart meter voltage data obtained should be within a certain range. If the smart meter voltage data is only for one day, its Pearson correlation coefficient will be very small and the accuracy will be reduced, and it is impossible to determine whether these users belong to the same substation area; if the smart meter voltage data is as large as several years, the Pearson correlation coefficient between users will be very accurate, but the calculation speed will be very slow. Therefore, an appropriate amount of data is required to ensure both the accuracy of the Pearson correlation coefficient and the calculation speed. Through a large number of experimental comparisons, it can be considered that the smart meter voltage data of about 7 days (sampling frequency is 15 min / time) is more appropriate.

[0063] b. The voltage data time periods are the same. For example, when comparing the similarity of correlation coefficients of microgrids, the data selected must be from the same time period. If the voltage data of one microgrid is not successfully collected at a certain time point, all data at this time point should be deleted, and the remaining data is used for correlation coefficient calculation.

[0064] In the distributed control of a microgrid, the communication network of a microgrid group can be represented as an intelligent system. Each node in the network is represented as a distributed power source in the microgrid group. Each node only needs to communicate with adjacent nodes to control the network. Thus, the topology and its sorting of the microgrid group are obtained, and corresponding control can be performed on the adjacent microgrids for the disturbance point.

[0065] Step 120: Monitor the electricity meter data of each microgrid in real time. When a disturbance is detected based on the electricity meter data, report the microgrid information corresponding to the microgrid where the disturbance occurs to the main station.

[0066] Obtain the electricity meter data of each microgrid in real time;

[0067] According to the electricity meter data of each microgrid, detect whether the voltage deviation value between the voltage of each microgrid and the nominal voltage value during normal operation exceeds the voltage deviation threshold. If so, it is determined that the microgrid with the voltage deviation value exceeding the preset deviation threshold has a disturbance;

[0068] Or, according to the electricity meter data of each microgrid, detect whether the frequency deviation value between the frequency of each microgrid and the fixed frequency during normal operation exceeds the frequency deviation threshold. If so, it is determined that the microgrid with the frequency deviation value exceeding the frequency deviation threshold has a disturbance.

[0069] It should be noted that when a disturbance occurs in the microgrid system, the change of voltage data may be manifested in the following several situations:

[0070] 1) Voltage deviation from the standard value: Assume that during normal operation, the nominal voltage range of the microgrid system should be within When the voltage in a certain microgrid system deviates from the preset standard value range, it indicates that the microgrid system has a disturbance. The microgrid information (such as serial number, name, etc.) corresponding to the microgrid where the disturbance occurs can be uploaded to the main station. The judgment process is as follows:

[0071]

[0072] Among them, is the voltage of the microgrid system read by the electricity meter, is the nominal voltage value of the microgrid system during normal operation, is the allowable voltage deviation value during normal operation.

[0073] 2) Three-phase voltage imbalance: When the three-phase voltage deviation monitored by the electricity meter of a certain microgrid system exceeds its standard value, it indicates that the system is affected by unbalanced loads or faults, and the serial number of this microgrid can be reported to the main station. The corresponding judgment process is as follows:

[0074]

[0075] Among them, 、 、 represent the voltage values of the three phases a, b, and c of the microgrid respectively, represents the allowable voltage deviation value when the microgrid operates normally.

[0076] It is also possible to judge whether the microgrid is disturbed according to the frequency, specifically as follows:

[0077] Frequency fluctuation: Assume that the frequency of the microgrid is a fixed value during normal operation (in China ), and the allowable fluctuation range is . When it is detected at a certain moment that the microgrid frequency exceeds the allowable fluctuation range, it indicates that the microgrid system has been disturbed, and the serial number corresponding to this microgrid is uploaded to the main station. The corresponding judgment process is as follows:

[0078]

[0079] Among them, represents the frequency of the microgrid system at a certain moment.

[0080] Step 130: Adjust the frequency and voltage control parameters of the generator of the disturbed microgrid through droop control, obtain the frequency adjustment amount of the disturbed microgrid, locate the neighbor microgrids of the disturbed microgrid according to the topology of the microgrid group, and calculate the frequency adjustment amounts of the neighbor microgrids based on the frequency adjustment amount of the disturbed microgrid.

[0081] In this application, through droop control, the frequency and voltage control parameters of the generator of the microgrid at the disturbance point are adjusted, so that the output frequency and voltage at this point change with the load change. Through the topology of the microgrid group, the neighbor microgrids of the disturbed microgrid can be located, and then the frequency adjustment amounts of the neighbor microgrids can be calculated.

[0082] This application proposes a droop control, instead of using the traditional droop control, aiming to be applied to networks with small line impedance such as microgrid groups, while taking into account improving the stability of power sharing. The curve of the droop control is as Figure 3 shown.

[0083] When the system frequency decreases (usually due to an increase in load), the generator will increase its active power output to restore the frequency; when the system frequency increases (usually due to a decrease in load), the generator will reduce its active power output to lower the frequency.

[0084] In a microgrid, the frequency of the power source is linearly related to the active power output, and the amplitude of the output voltage is linearly related to the reactive power output. The characteristic curve of droop control can be understood as that when the output power of the inverter in the microgrid changes, the voltage amplitude and frequency also change accordingly.

[0085] The equation of droop control can be expressed as follows:

[0086]

[0087] Where, is the angular frequency of the virtual rotor, is the reference value of the active power, is the output power measured by the electricity meter, is the droop coefficient.

[0088] First, consider the droop control adjustment of the microgrid itself when a disturbance occurs, which can be understood as a system in island mode, as Figure 4 shown. Since the reactance between the generator and the load is much larger than its resistance, the resistance of the cable is ignored, and only its reactance is considered. By calculating the power, we can get:

[0089]

[0090] Where, is the change in the active power of the generator, E dg is the voltage at the initial operation of the generator, is the phase angle at the initial operation of the generator, is the voltage at the load. For the convenience of calculation, the phase angle at the load is taken as 0°; is the change in the phase angle of the generator, is the total output impedance of the generator, is the filter reactance, is the line reactance. Generally, it is considered that the filter reactance is much larger than the line reactance, that is .

[0091] Substituting the equation of droop control into the equation of the island mode system, we can get:

[0092]

[0093] Where, is the droop control coefficient of the generator, is the change in the frequency of the generator.

[0094] When the line loss is ignored, there is , where is the change in active power at the load. Substituting the in the above formula, we get:

[0095]

[0096] The above formula is the droop control frequency response expression of the microgrid in the island operation state. Through the above formula, the frequency adjustment amount of the microgrid with disturbances can be calculated. When the load fluctuates, by setting appropriate droop control coefficients, the output power of the generator is adjusted, so as to realize the regulation of voltage and frequency in the microgrid system to cope with the disturbances brought by load changes.

[0097] For the energy transfer of the neighboring microgrids (i.e., neighbor microgrids) of the microgrid with disturbances in the microgrid cluster, it can be equivalent to the grid-connected mode state. As Figure 5 shown, since the power generation of a single microgrid is very different from that of the entire microgrid cluster, the power generation of the remaining microgrids can be equivalent to the power generation of a generator with a stable power (i.e., equivalent generator).

[0098] Due to power conservation, it can be known that:

[0099]

[0100] Among them, the subscript sg represents the parameters of the stable generator (i.e., equivalent motor), is the change in active power of the equivalent generator.

[0101] Since , where s is the Laplace operator, is the bus frequency, is the change in bus frequency. For the convenience of the following derivation formula, assume an intermediate parameter , so that . Obviously is a constant, and we can get:

[0102]

[0103] Similar to the above formula, the equivalent generator can also be expressed as follows:

[0104]

[0105] For the convenience of subsequent derivation, assume , , and the expression of power conservation can be expressed as:

[0106]

[0107] Eliminating through the above several formulas , we get:

[0108]

[0109] Extracting , we get:

[0110]

[0111] Substituting into the frequency response formula of the islanded microgrid , we get:

[0112]

[0113] After arrangement, the expression of parameter A is obtained:

[0114]

[0115] Similarly, parameter B can also be expressed as follows:

[0116]

[0117] Substituting the expressions of parameters A and B, the complete droop control frequency response formula can be obtained:

[0118]

[0119] K sg 、K dg are both intermediate parameters, is the droop control coefficient of the equivalent generator;

[0120] The frequency adjustment amount of the neighbor microgrid of the disturbed microgrid can be calculated through the above droop control frequency response formula.

[0121] Step 140: Adjust the output power of the generators of the corresponding microgrids according to the frequency adjustment amount of the disturbed microgrid and the frequency adjustment amount of its neighbor microgrids to achieve coordinated control.

[0122] After calculating the frequency adjustment amount of the disturbed microgrid and the frequency adjustment amount of its neighbor microgrids through the above steps, substitute the frequency adjustment amount of the disturbed microgrid into the disturbed microgrid, substitute the frequency adjustment amount of its neighbor microgrid into the neighbor microgrid, and then adjust the output power accordingly to achieve coordinated control and energy mutual assistance.

[0123] For the convenience of expression, assume that the microgrid with the serial number k is disturbed. According to the above steps, the frequency adjustment amounts of the disturbed microgrid k and its adjacent microgrids k - 1 and k + 1 are calculated, and the disturbed microgrid k and its adjacent microgrids k - 1 and k + 1 are adjusted. If disturbances occur in the adjacent microgrids k - 1 and k + 1 after adjustment, the above method is applied again to adjust the second adjacent microgrids k - 2 and k + 2. Iterate in this way until the voltage and frequency fluctuations of the microgrid group are within the allowable range, which is regarded as the microgrid group reaching a new balance.

[0124] This application is based on the Pearson algorithm. By obtaining voltage data to analyze the topological structure of the microgrid group, it can accurately judge the connection relationship of the microgrid group; when a microgrid is disturbed, this application can quickly and accurately identify its adjacent microgrids, and achieve timely response and precise processing of the disturbance through droop control;

[0125] This application proposes an improved droop control method, which can flexibly adjust the output power of the generator when the microgrid is disturbed; through this improved droop control method, the microgrid can sensitively perceive the disturbance and make corresponding adjustments according to the real-time situation to ensure the stable operation of the microgrid group; at the same time, this application is based on the Pearson algorithm. By obtaining voltage data to analyze the topological structure of the microgrid group, it can accurately judge the connection relationship of the microgrid group; when a microgrid is disturbed, this application can accurately locate the microgrids adjacent to the disturbed microgrid, so as to realize the mutual energy transfer; this process enables the microgrid group to quickly return to a new balance state after the disturbance, improves the stability and reliability of the system, and provides a solid guarantee for the long-term operation of the microgrid group.

[0126] The above is an embodiment of a microgrid group anti-disturbance control method provided by this application. The following is an embodiment of a microgrid group anti-disturbance control device provided by this application.

[0127] Please refer to Figure 6 , a microgrid group anti-disturbance control device provided by an embodiment of this application includes:

[0128] An acquisition unit, configured to acquire the voltage data of each microgrid in the microgrid group during a preset operation period, and obtain the topology of the microgrid group according to the Pearson correlation coefficient between the voltage data;

[0129] A monitoring unit, configured to monitor the meter data of each microgrid in real time, and when a disturbance is detected according to the meter data, report the microgrid information corresponding to the disturbed microgrid to the main station;

[0130] A calculation unit for adjusting the frequency and voltage control parameters of the generators of a microgrid with disturbances through droop control, obtaining the frequency adjustment amount of the microgrid with disturbances, locating the neighbor microgrids of the microgrid with disturbances according to the topology of the microgrid group, and calculating the frequency adjustment amounts of the neighbor microgrids based on the frequency adjustment amount of the microgrid with disturbances;

[0131] An adjustment unit for adjusting the output power of the generators of the corresponding microgrids according to the frequency adjustment amount of the microgrid with disturbances and the frequency adjustment amounts of the neighbor microgrids to achieve coordinated control.

[0132] As a further improvement, an acquisition unit is specifically configured to:

[0133] Obtain the voltage data of each microgrid in the microgrid group during a preset operation period;

[0134] Calculate the Pearson correlation coefficients between the voltage data to obtain the correlation coefficients between the microgrids;

[0135] For each microgrid in the microgrid group, sort the correlation coefficients between each microgrid and other microgrids in descending order, determine the topological position information of each microgrid in the microgrid group, and obtain the topology of the microgrid group.

[0136] This application uses the Pearson algorithm combined with voltage data analysis to analyze the topological structure of the microgrid group, so as to accurately obtain the connection relationship of the microgrid group. When a disturbance occurs in a microgrid is detected, the microgrids adjacent to the microgrid with disturbances can be accurately located according to the topology of the microgrid group, thereby realizing energy mutual assistance transmission; and through droop control, the output power of the generator can be flexibly adjusted when a disturbance occurs in the microgrid to ensure the stable operation of the microgrid group, enabling the microgrid group to quickly return to a new balance state after the disturbance, which helps to improve the security, stability and reliability of the system, and improves the technical problems of reduced system stability, security and reliability caused by disturbances in the microgrid group.

[0137] An embodiment of this application also provides an electronic device, which includes a processor and a memory;

[0138] The memory is used to store program codes and transmit the program codes to the processor;

[0139] The processor is used to execute the microgrid group anti-disturbance control method in the foregoing method embodiment according to the instructions in the program code.

[0140] An embodiment of this application also provides a computer-readable storage medium, which is used to store program codes, and when the program codes are executed by a processor, the microgrid group anti-disturbance control method in the foregoing method embodiment is implemented.

[0141] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0142] The terms "first", "second", "third", "fourth", etc. (if any) in the specification of this application and the above-mentioned drawings are used to distinguish similar objects and do not necessarily need to describe a specific order or sequence. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device comprising a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products, or devices.

[0143] It should be understood that in this application, "at least one (item)" means one or more, and "a plurality" means two or more. "And / or" is used to describe the association relationship of associated objects and indicates that three relationships can exist. For example, "A and / or B" can mean: only A exists, only B exists, and both A and B exist at the same time. Among them, A and B can be singular or plural. The character " / " generally means that the associated objects before and after are in an "or" relationship. "At least one (one) of the following" or similar expressions refer to any combination of these items, including any combination of single items (ones) or plural items (ones). For example, at least one (one) of a, b, or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, c can be single or multiple.

[0144] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection to each other can be through some interfaces. The indirect coupling or communication connection of devices or units can be in electrical, mechanical, or other forms.

[0145] The units described as separate components may or may not be physically separated. The components shown as units may or may not be physical units, that is, they can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0146] In addition, in each embodiment of the present application, each functional unit can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of a software functional unit.

[0147] If the above-mentioned integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: USB flash drives, mobile hard disks, read-only memories (English full name: Read-Only Memory, English abbreviation: ROM), random access memories (English full name: Random Access Memory, English abbreviation: RAM), magnetic disks, or optical discs, and other various media that can store program codes.

[0148] As described above, the above embodiments are only used to illustrate the technical solutions of the present application and are not intended to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of each embodiment of the present application.

Claims

1. A microgrid group anti-disturbance control method, characterized in that include: Obtain voltage data of each microgrid in the microgrid group during a preset operation period, and obtain the topology of the microgrid group according to the Pearson correlation coefficient between the voltage data; Monitor the meter data of each microgrid in real time. When a disturbance is detected based on the meter data, report the microgrid information corresponding to the disturbed microgrid to the main station; The frequency and voltage control parameters of the generator of the disturbed microgrid are adjusted by droop control to obtain the frequency adjustment amount of the disturbed microgrid, the neighboring microgrid of the disturbed microgrid is located according to the topology of the microgrid group, and the frequency adjustment amount of the neighboring microgrid is calculated based on the frequency adjustment amount of the disturbed microgrid; the calculation formula of the frequency adjustment amount of the neighboring microgrid is include: where, Δω m_sg is the frequency adjustment amount of the equivalent generator, ΔP load is the active power adjustment amount at the load of the microgrid, k p_dg is the droop control coefficient of the generator of the microgrid, s is the Laplace operator, K sg , K dg are both intermediate parameters, k p_sg is the droop control coefficient of the equivalent generator; The output power of the generator of the corresponding microgrid is adjusted according to the frequency adjustment amount of the disturbed microgrid and the frequency adjustment amount of the neighboring microgrid to achieve coordinated control.

2. The microgrid group anti-disturbance control method according to claim 1, characterized in that The step of obtaining voltage data of each microgrid in the microgrid group during a preset operation period also includes: Determine whether the microgrid group master meter is working normally. If so, execute the subsequent steps. If not, report to the main station.

3. The microgrid group anti-disturbance control method according to claim 1, characterized in that, The method of obtaining the topology of the microgrid group according to the Pearson correlation coefficient between the voltage data includes: Calculate the Pearson correlation coefficient between each voltage data to obtain the correlation coefficient between each microgrid; For each microgrid in the microgrid group, the correlation coefficients of each microgrid and other microgrids are sorted in descending order, the location information topology of each microgrid in the microgrid group is determined, and the topology of the microgrid group is obtained.

4. The anti-disturbance control method for a microgrid cluster according to claim 1, wherein The real-time monitoring of the electric meter data of each microgrid includes: Obtain the meter data of each microgrid in real time; According to the meter data of each microgrid, it is detected whether the voltage deviation value of each microgrid and the voltage nominal value during normal operation exceeds the voltage deviation threshold value. If so, it is determined that the microgrid whose voltage deviation value exceeds the preset deviation threshold value is disturbed; Or, it is detected according to the meter data of each microgrid whether the frequency deviation value of each microgrid and the fixed frequency during normal operation exceeds the frequency deviation threshold value. If so, it is determined that the microgrid whose frequency deviation value exceeds the frequency deviation threshold value is disturbed.

5. The microgrid group anti-disturbance control method according to claim 1, characterized in that The calculation formula for the frequency adjustment of the disturbed microgrid includes: where k p_dg is the droop control coefficient of the generator in the microgrid, Δω m_dg is the frequency adjustment amount of the generator, and ΔP load is the active power adjustment amount at the load of the microgrid.

6. A microgrid group anti-disturbance control device, characterized in that include: An acquisition unit, used to acquire voltage data of each microgrid in the microgrid group during a preset operation period, and acquire the topology of the microgrid group according to the Pearson correlation coefficient between the voltage data; The monitoring unit is used to monitor the meter data of each microgrid in real time. When a disturbance is detected according to the meter data, the microgrid information corresponding to the microgrid where the disturbance occurs is reported to the main station; A calculation unit, used to adjust the frequency and voltage control parameters of the generator of the disturbed microgrid through droop control, obtain the frequency adjustment amount of the disturbed microgrid, locate the neighboring microgrid of the disturbed microgrid according to the topology of the microgrid group, and calculate the frequency adjustment amount of the neighboring microgrid based on the frequency adjustment amount of the disturbed microgrid; the calculation formula of the frequency adjustment amount of the neighboring microgrid include: where, Δω m_sg is the frequency adjustment amount of the equivalent generator, ΔP load is the active power adjustment amount at the load of the microgrid, k p_dg is the droop control coefficient of the generator of the microgrid, s is the Laplace operator, K sg and K dg are both intermediate parameters, k p_sg is the droop control coefficient of the equivalent generator; The regulating unit is used to adjust the output power of the generator of the corresponding microgrid according to the frequency adjustment amount of the disturbed microgrid and the frequency adjustment amount of the neighboring microgrid to achieve coordinated control.

7. The microgrid group anti-disturbance control device according to claim 6, characterized in that, An acquisition unit, specifically configured to: Acquire voltage data of each microgrid in a preset operation period in the microgrid cluster; Calculate the Pearson correlation coefficient between each voltage data to obtain the correlation coefficient between each microgrid; For each microgrid in the microgrid cluster, sort the correlation coefficients between each microgrid and other microgrids in descending order, determine the position information topology of each microgrid in the microgrid cluster, and obtain the topology of the microgrid cluster.

8. An electronic device, characterized in that, The device includes a processor and a memory; The memory is used to store program code and transmit the program code to the processor; The processor is configured to execute the microgrid cluster anti-disturbance control method according to any one of claims 1-5 based on the instructions in the program code.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium is used to store program code, and when the program code is executed by a processor, the microgrid cluster anti-disturbance control method according to any one of claims 1-5 is implemented.

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