Power system source-grid-load-storage coordinated multi-target planning system

Abstract

The invention relates to the technical field of power analysis, and particularly discloses a power system source-grid-load-storage coordinated multi-target planning system, which comprises the following steps: acquiring monitoring data of a distribution network line in a target time period; calculating to obtain a fault coefficient; evaluating the operation state of the distribution network line in the target time period, judging whether the distribution network line is in an abnormal state or not, and generating a state evaluation signal; analyzing the operation state of the target equipment in the target time period, judging whether the operation state abnormity of the distribution network line is caused by the target equipment or not, and generating an abnormity reason judgment signal; generating a target device alert; according to the invention, real-time and comprehensive evaluation of the operation state of the distribution network line is realized; and meanwhile, the source of an abnormal phenomenon can be accurately diagnosed, so that more comprehensive and accurate data support is provided for power operation and maintenance personnel, the scientificity and accuracy of decision making are improved, the management efficiency is improved, faults and emergency situations can be quickly responded, and the source-grid-load-storage cooperative capability of the power system is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power analysis, and in particular to a multi-objective planning system for power system source-grid-load-storage coordination. Background Art

[0002] Distribution lines refer to lines that directly supply electricity to users. The network composed of these lines is called a distribution network. The main function of distribution lines is to transmit electricity from substations to power consumption areas such as residential areas, factories, and commercial areas, and reduce the voltage to a level suitable for users through distribution transformers and other equipment.

[0003] A Chinese invention patent with publication number CN118229247B discloses a multi-objective planning method and system for power system source-grid-load-storage coordination. By obtaining multiple target planning schemes, multiple factors can be comprehensively considered. By applying the target planning schemes one by one to the simulated power system, a source-grid-load-storage coordination data set is obtained, and feasibility verification is performed. A feasible target planning scheme is selected and applied to the power system source-grid-load-storage coordination.

[0004] However, in the prior art, the analysis of the power supply capacity of the distribution network lines is not convenient for timely locating the cause of the fault while analyzing the operating status of the distribution network lines, which affects the emergency response capability and fault handling efficiency, thereby affecting the efficiency of the power system source-grid-load-storage coordination. Summary of the invention

[0005] The purpose of the present invention is to provide a multi-objective planning system for power system source-grid-load-storage coordination to solve the technical problems in the above background.

[0006] The purpose of the present invention can be achieved by the following technical solutions:

[0007] In a first aspect, the present invention provides a multi-objective planning system for power system source-grid-load-storage coordination, comprising:

[0008] Data acquisition module: monitors the operating status of the distribution network line and obtains the monitoring data of the distribution network line within the target period;

[0009] Among them, the monitoring data include: fluctuation stability characterization value and fluctuation degree characterization value;

[0010] Data processing module: calculates and obtains the failure coefficient based on monitoring data;

[0011] Status evaluation module: Based on the fault coefficient, the operating status of the distribution network line within the target period is evaluated to determine whether the distribution network line is in an abnormal state and generate a status evaluation signal;

[0012] The state assessment signal includes: a normal state signal and an abnormal state signal;

[0013] Abnormal analysis module: Based on the abnormal state signal, analyze the operating state of the target equipment within the target period, determine whether the abnormal operating state of the distribution network line is caused by the target equipment, and generate an abnormal cause determination signal;

[0014] Among them, the abnormal cause determination signal includes: a signal caused by a target device and a signal caused by a non-target device;

[0015] Alarm module: Generates target device alarms based on signals caused by target devices, making it easier for power operation and maintenance personnel to understand the reasons for abnormal operation of distribution network lines and to achieve coordinated work among power system sources, grids, loads and storage.

[0016] As a further solution of the present invention: the process of acquiring monitoring data is:

[0017] During the operation of the distribution network line, the voltage of the distribution network line is monitored in real time to obtain the voltage fluctuation ratio of the distribution network line within the monitoring period;

[0018] Based on the voltage fluctuation ratio of each monitoring period within the target period, the fluctuation stability characterization value and the fluctuation degree characterization value of the target period are calculated respectively.

[0019] As a further solution of the present invention: the process of obtaining the voltage fluctuation ratio is:

[0020] The real-time voltage of the distribution network line is obtained, and based on a two-dimensional coordinate system established with time as the X-axis and the real-time voltage as the Y-axis, the real-time voltage fluctuation curve of the distribution network line is drawn to obtain the voltage fluctuation curve of the distribution network line. At the same time, a straight line is drawn parallel to the X-axis with the preset voltage of the distribution network line as the value of the Y-axis to obtain the preset voltage straight line of the distribution network line;

[0021] Based on the voltage fluctuation curve of the distribution network line and the preset voltage straight line of the distribution network line, the area of ​​the region enclosed by the voltage fluctuation curve of the distribution network line and the preset voltage straight line of the distribution network line during the monitoring period is calculated to obtain the voltage fluctuation value of the monitoring period, and the voltage fluctuation value is ratio-calculated with the voltage fluctuation threshold to obtain the voltage fluctuation ratio.

[0022] As a further solution of the present invention: the process of obtaining the fluctuation stability characterization value is:

[0023] Obtain the voltage fluctuation ratio of each monitoring period within the target period and mark the voltage fluctuation ratio as D i , where i represents the i-th monitoring period within the target period, and the value of i is 1, 2, 3, ... N;

[0024] By formula: , calculate and obtain the fluctuation stability characterization value WD.

[0025] As a further solution of the present invention: the process of obtaining the fluctuation degree characterization value is:

[0026] Obtaining the voltage fluctuation ratio of each monitoring period within the target time period, presetting a voltage fluctuation ratio threshold, and comparing the voltage fluctuation ratio of each monitoring period with the voltage fluctuation ratio threshold;

[0027] If the voltage fluctuation ratio is less than the voltage fluctuation ratio threshold, a voltage fluctuation slight signal is generated;

[0028] If the voltage fluctuation ratio is greater than or equal to the voltage fluctuation ratio threshold, a voltage fluctuation serious signal is generated;

[0029] Extract the total number of severe fluctuation cycles of the distribution network line within the target period to obtain the total number of severe fluctuation cycles of the distribution network line, calculate the ratio of the total number of severe fluctuation cycles of the distribution network line to the total number of monitoring cycles to obtain the severe cycle number ratio;

[0030] Extract the voltage fluctuation ratio of each distribution network line during the severe fluctuation period, calculate the average of the voltage fluctuation ratios of all distribution network lines during the severe fluctuation period, and obtain the mean of severe voltage fluctuation;

[0031] Calculate the average of all voltage fluctuation ratios to obtain the voltage fluctuation average;

[0032] The difference between the voltage severe fluctuation mean and the voltage fluctuation mean is calculated to obtain the severe fluctuation difference, and the severe fluctuation difference is multiplied by the severe cycle number ratio to obtain the severe fluctuation adjustment value;

[0033] The severe fluctuation adjustment value and the voltage fluctuation mean value are summed to obtain a fluctuation degree characterization value.

[0034] As a further solution of the present invention: the process of calculating the failure coefficient is:

[0035] By formula: , the fault coefficient GZ is calculated, where a1 and a2 are preset proportional factors, and both are greater than 0, WD is the fluctuation stability characterization value, and CD is the fluctuation degree characterization value.

[0036] As a further solution of the present invention: the process of generating the state evaluation signal is:

[0037] Preset a fault coefficient threshold, and compare and analyze the fault coefficient with the fault coefficient threshold;

[0038] If the fault coefficient is less than the fault coefficient threshold, a state normal signal is generated;

[0039] If the fault coefficient is greater than or equal to the fault coefficient threshold, a state abnormality signal is generated.

[0040] As a further solution of the present invention: the process of generating the abnormal cause determination signal is:

[0041] Based on the abnormal status signal, the voltage of the target device is monitored in real time to obtain the severe fluctuation period of the target device within the target time period;

[0042] Calculate the fluctuation synchronization coefficient based on the severe fluctuation periods of all equipment and distribution network lines within the target period;

[0043] Preset a fluctuation synchronization coefficient threshold, and compare and analyze the fluctuation synchronization coefficient with the fluctuation synchronization coefficient threshold;

[0044] If the fluctuation synchronization coefficient is less than the fluctuation synchronization coefficient threshold, a non-target device causing signal is generated;

[0045] If the fluctuation synchronization coefficient is greater than or equal to the fluctuation synchronization coefficient threshold, a signal is generated that the target device is causing the problem.

[0046] As a further solution of the present invention: the calculation process of the fluctuation synchronization coefficient is:

[0047] Based on all equipment severe fluctuation periods within the target time period, the consecutive equipment severe fluctuation periods are merged to obtain multiple equipment severe fluctuation time periods;

[0048] The number M of equipment fluctuation-severe time periods and the number F of distribution network line fluctuation-severe time periods are obtained respectively, and compared;

[0049] If the number of equipment fluctuations during severe time periods M = the number of distribution network line fluctuations during severe time periods F, then the formula is: , calculate the fluctuation synchronization coefficient TB, in which r = e;

[0050] If the number of equipment fluctuation severe time periods M ≠ the number of distribution network line fluctuation severe time periods F, then obtain the overlap time between the equipment fluctuation severe time periods and the distribution network line fluctuation severe time periods within the target period, obtain the fluctuation severe overlap duration, and mark the fluctuation severe overlap duration as TC;

[0051] Calculate the total duration of all equipment fluctuations in the target period and the total duration of all distribution network line fluctuations in the target period, obtain the equipment fluctuation duration and the distribution network line fluctuation duration, mark the equipment fluctuation duration as TS, and the distribution network line fluctuation duration as TP;

[0052] By formula: , calculate and obtain the fluctuation synchronization coefficient TB.

[0053] As a further solution of the present invention: the process of obtaining the number M of equipment severe fluctuation time periods and the number F of distribution network line severe fluctuation time periods is as follows:

[0054] Extract the start time and end time of each equipment fluctuation severe time period respectively, obtain the equipment fluctuation severe start time and equipment fluctuation severe end time of each equipment fluctuation severe time period, and mark the equipment fluctuation severe start time as SK r , mark the end time of severe equipment fluctuation as SJ r , where r represents the rth device fluctuation severe time period, r takes values ​​of 1, 2, 3, ... M, and M < N;

[0055] Get the start time and end time of each distribution network line severe fluctuation period, get the distribution network line severe fluctuation start time and distribution network line severe fluctuation end time of each distribution network line severe fluctuation period, and mark the distribution network line severe fluctuation start time as PK ｅ , mark the end time of severe fluctuation of distribution network line as PJ ｅ , where e represents the e-th distribution network line fluctuation severe time period, e takes values ​​of 1, 2, 3, ... F, and F < N.

[0056] Beneficial effects of the present invention:

[0057] (1) The present invention first sets a target time period and continuously monitors the voltage fluctuation of the distribution network line at a fixed period; by calculating the voltage fluctuation ratio of each monitoring period, a fluctuation stability characterization value is further obtained to reflect the speed of voltage fluctuation change; at the same time, based on the comparison of the voltage fluctuation ratio with a preset threshold value, combined with the number of severe fluctuation periods and the degree of fluctuation, a fluctuation degree characterization value is calculated to quantify the overall impact of voltage fluctuation; then, using a preset proportional factor, the fluctuation stability characterization value and the fluctuation degree characterization value are weighted and summed to obtain a fault coefficient; this coefficient comprehensively reflects the operating stability and fluctuation of the distribution network line within the target time period; finally, by comparing the fault coefficient with a preset fault coefficient threshold, it is determined whether the operating state of the distribution network line is normal; if the fault coefficient is lower than the threshold, the distribution network line is determined to be operating normally; if it is higher than or equal to the threshold, it is determined to be an abnormal state, and a corresponding state abnormality signal is generated so that timely measures can be taken to deal with it; the present invention effectively improves the safety and stability of the distribution network line operation through real-time monitoring, quantitative evaluation and timely early warning, and provides strong technical support for multi-objective planning of source-grid-load-storage coordination of power systems;

[0058] (2) The present invention deeply analyzes the causes of abnormal operation of distribution network lines, especially focusing on the impact of target devices; when an abnormal distribution network line is detected, the voltage fluctuation of the target device is immediately monitored in real time to identify the severe fluctuation period of the device within the target time period; then, by calculating the synchronization coefficient between the device fluctuation and the overall fluctuation of the distribution network line, it is evaluated whether the target device is the root cause of the abnormality; the calculation of the fluctuation synchronization coefficient comprehensively considers the time overlap, quantity matching and total duration of the device fluctuation and the distribution network line fluctuation; if the fluctuation times of the two are highly synchronized and the quantities are similar, the fluctuation synchronization coefficient is high, indicating that the target device is likely to be the cause of the abnormality; the calculated fluctuation synchronization coefficient is compared with the preset threshold value, so as to accurately Determine whether the distribution network line abnormality is caused by the target device, and instantly generate a corresponding abnormal cause determination signal; if it is confirmed that the target device is the cause, trigger the target device alarm, and provide clear abnormal source information to the power operation and maintenance personnel, helping them to respond quickly and solve problems, thereby improving the efficiency and accuracy of power grid operation and maintenance; the present invention relies on detailed monitoring means and in-depth analysis methods to achieve instant and comprehensive evaluation of the operating status of distribution network lines; at the same time, it can also accurately diagnose the root cause of the abnormal phenomenon, thereby providing more comprehensive and accurate data support for power operation and maintenance personnel, improving the scientificity and accuracy of decision-making, improving management efficiency, facilitating rapid response to faults and emergencies, and improving the power system's source-grid-load-storage coordination capabilities. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] The present invention will be further described below in conjunction with the accompanying drawings.

[0060] Figure 1 It is a flowchart of the present invention;

[0061] Figure 2 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0062] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0063] Embodiment 1:

[0064] See also Figure 1 , Figure 2 As shown, a multi-objective planning system for power system source-grid-load-storage coordination according to an embodiment of the present invention includes:

[0065] Data acquisition module: monitors the operating status of the distribution network line and obtains the monitoring data of the distribution network line within the target period (the target period includes N monitoring cycles, where N can be 10 or 20; the monitoring cycle can be 10s or 30s);

[0066] Among them, the monitoring data include: fluctuation stability characterization value and fluctuation degree characterization value;

[0067] In some implementation schemes, during the operation of the distribution network line, the voltage of the distribution network line is monitored in real time to obtain the voltage fluctuation ratio of the distribution network line within the monitoring period;

[0068] Based on the voltage fluctuation ratio of each monitoring period within the target period, the fluctuation stability characterization value and the fluctuation degree characterization value of the target period are calculated respectively;

[0069] In a first exemplary embodiment, the process of obtaining the voltage fluctuation ratio is as follows:

[0070] The real-time voltage of the distribution network line is obtained, and based on a two-dimensional coordinate system established with time as the X-axis and the real-time voltage as the Y-axis, the real-time voltage fluctuation curve of the distribution network line is drawn to obtain the voltage fluctuation curve of the distribution network line. At the same time, with the preset voltage of the distribution network line (the preset voltage of the distribution network line is: the voltage value pre-set by the technicians in the neighborhood when the distribution network line is in operation) as the value of the Y-axis, a straight line is drawn parallel to the X-axis to obtain the preset voltage straight line of the distribution network line;

[0071] Based on the voltage fluctuation curve of the distribution network line and the preset voltage straight line of the distribution network line, the area enclosed by the voltage fluctuation curve of the distribution network line and the preset voltage straight line of the distribution network line within the monitoring period is calculated to obtain the voltage fluctuation value of the monitoring period, and the voltage fluctuation value is calculated by ratio with the voltage fluctuation threshold value to obtain the voltage fluctuation ratio;

[0072] In a second exemplary embodiment, the process of obtaining the fluctuation stability characterization value is as follows:

[0073] Obtain the voltage fluctuation ratio of each monitoring period within the target period and mark the voltage fluctuation ratio as D i , where i represents the i-th monitoring period within the target period, and the value of i is 1, 2, 3, ... N;

[0074] By formula: , calculate and obtain the fluctuation stability characterization value WD (the fluctuation stability characterization value indicates the relative change rate of the voltage fluctuation ratio within the target period, that is, it reflects the speed of the voltage fluctuation ratio change between each adjacent monitoring period; the larger the value of the fluctuation stability characterization value, the more unstable the voltage fluctuation ratio changes within the monitoring period, that is, the more unstable the voltage fluctuation of the distribution network line is), where i+1 represents the next monitoring period connected with the i-th monitoring period, that is, the i+1-th monitoring period within the target period, and i-1 represents the previous monitoring period connected with the i-th monitoring period, that is, the i-1-th monitoring period within the target period;

[0075] In a third exemplary embodiment, the process of obtaining the fluctuation degree characterization value is as follows:

[0076] Obtaining the voltage fluctuation ratio of each monitoring period within the target time period, presetting a voltage fluctuation ratio threshold, and comparing the voltage fluctuation ratio of each monitoring period with the voltage fluctuation ratio threshold;

[0077] If the voltage fluctuation ratio is less than the voltage fluctuation ratio threshold, it means that the fluctuation of the distribution network line voltage during the monitoring period is small, and a voltage fluctuation slight signal is generated;

[0078] If the voltage fluctuation ratio is greater than or equal to the voltage fluctuation ratio threshold, it means that the voltage fluctuation of the distribution network line is large during the monitoring period, and a severe voltage fluctuation signal is generated;

[0079] Extract the total number of severe fluctuation cycles of distribution network lines within the target period (the severe fluctuation cycle of distribution network lines is the monitoring cycle corresponding to the generation of severe voltage fluctuation signals) to obtain the total number of severe fluctuation cycles of distribution network lines. Calculate the ratio of the total number of severe fluctuation cycles of distribution network lines to the total number of monitoring cycles (the total number of monitoring cycles is the total number of monitoring cycles within the target period) to obtain the severe cycle number ratio.

[0080] Extract the voltage fluctuation ratio of each distribution network line during the severe fluctuation period, calculate the average of the voltage fluctuation ratios of all distribution network lines during the severe fluctuation period, and obtain the mean of severe voltage fluctuation;

[0081] Calculate the average of all voltage fluctuation ratios to obtain the voltage fluctuation average;

[0082] The difference between the voltage severe fluctuation mean and the voltage fluctuation mean is calculated to obtain the severe fluctuation difference, and the severe fluctuation difference is multiplied by the severe cycle number ratio to obtain the severe fluctuation adjustment value;

[0083] The severe fluctuation adjustment value and the voltage fluctuation mean value are summed to obtain a fluctuation degree representation value;

[0084] Data processing module: calculates and obtains the failure coefficient based on monitoring data;

[0085] In some embodiments, by the formula: , calculate and obtain the fault coefficient GZ, where a1 and a2 are preset proportional factors, and both are greater than 0, WD is the fluctuation stability characterization value, and CD is the fluctuation degree characterization value;

[0086] Status evaluation module: Based on the fault coefficient, the operating status of the distribution network line within the target period is evaluated to determine whether the distribution network line is in an abnormal state and generate a status evaluation signal;

[0087] The state assessment signal includes: a normal state signal and an abnormal state signal;

[0088] In some implementation schemes, a fault coefficient threshold is preset, and the fault coefficient is compared and analyzed with the fault coefficient threshold;

[0089] If the fault coefficient is less than the fault coefficient threshold, it means that the voltage fluctuation of the distribution network line in the target period is small and the fluctuation is relatively stable, and the operation state of the distribution network line is determined to be normal, that is, a normal state signal is generated;

[0090] If the fault coefficient is greater than or equal to the fault coefficient threshold, it means that the voltage fluctuation of the distribution network line is large or unstable during the target period, and the operation state of the distribution network line is determined to be abnormal, that is, a state abnormality signal is generated;

[0091] The technical solution of the embodiment of the present invention is mainly as follows: first, a target time period is set, and the voltage fluctuation of the distribution network line is continuously monitored at a fixed period; by calculating the voltage fluctuation ratio of each monitoring period, a fluctuation stability characterization value is further obtained to reflect the speed of voltage fluctuation change; at the same time, based on the comparison of the voltage fluctuation ratio with the preset threshold value, the fluctuation degree characterization value is calculated in combination with the number of severe fluctuation periods and the degree of fluctuation, and the overall impact of the voltage fluctuation is quantified; then, using the preset proportional factor, the fluctuation stability characterization value and the fluctuation degree characterization value are weighted and summed to obtain the fault coefficient; this coefficient comprehensively reflects the operating stability and fluctuation of the distribution network line within the target time period; finally, by comparing the fault coefficient with the preset fault coefficient threshold, it is determined whether the operating state of the distribution network line is normal; if the fault coefficient is lower than the threshold, the distribution network line is determined to be operating normally; if it is higher than or equal to the threshold, it is determined to be an abnormal state, and a corresponding state abnormality signal is generated so that timely measures can be taken to deal with it; the embodiment of the present invention effectively improves the safety and stability of the operation of the distribution network line through real-time monitoring, quantitative evaluation and timely warning, and provides strong technical support for the multi-objective planning of source-grid-load-storage coordination of the power system.

[0092] Embodiment 2:

[0093] Based on Example 1, please refer to Figure 1 , Figure 2As shown, a multi-objective planning system for power system source-grid-load-storage coordination according to an embodiment of the present invention further includes:

[0094] Abnormal analysis module: Based on the abnormal state signal, analyze the operating state of the target equipment within the target period, determine whether the abnormal operating state of the distribution network line is caused by the target equipment, and generate an abnormal cause determination signal;

[0095] Among them, the abnormal cause determination signal includes: a signal caused by a target device and a signal caused by a non-target device;

[0096] In some implementation schemes, based on the abnormal state signal, the voltage of the target device is monitored in real time to obtain the severe device fluctuation period of the target device within the target time period (the method for obtaining the severe device fluctuation period is the same as the method for obtaining the severe distribution network line fluctuation period, which will not be repeated here);

[0097] Calculate the fluctuation synchronization coefficient based on the severe fluctuation periods of all equipment and distribution network lines within the target period;

[0098] Preset a fluctuation synchronization coefficient threshold, and compare and analyze the fluctuation synchronization coefficient with the fluctuation synchronization coefficient threshold;

[0099] If the fluctuation synchronization coefficient is less than the fluctuation synchronization coefficient threshold, it means that the voltage fluctuation synchronization rate between the target device and the distribution network line is small, and it is determined that the abnormal operation state of the distribution network line is not caused by the target device, that is, a non-target device caused signal is generated;

[0100] If the fluctuation synchronization coefficient is greater than or equal to the fluctuation synchronization coefficient threshold, it means that the voltage fluctuation synchronization rate between the target device and the distribution network line is large, and it is determined that the abnormal operation state of the distribution network line is caused by the target device, that is, a signal caused by the target device is generated;

[0101] Exemplarily, the calculation process of the fluctuation synchronization coefficient is:

[0102] Based on all equipment severe fluctuation periods within the target time period, the consecutive equipment severe fluctuation periods are merged to obtain multiple equipment severe fluctuation time periods;

[0103] Extract the start time and end time of each equipment fluctuation severe time period respectively, obtain the equipment fluctuation severe start time and equipment fluctuation severe end time of each equipment fluctuation severe time period, and mark the equipment fluctuation severe start time as SK r , mark the end time of severe equipment fluctuation as SJ r , where r represents the rth device fluctuation severe time period, r takes values ​​of 1, 2, 3, ... M, and M < N;

[0104] At the same time, obtain the start time and end time of each distribution network line severe fluctuation period, obtain the distribution network line severe fluctuation start time and distribution network line severe fluctuation end time of each distribution network line severe fluctuation period, and mark the distribution network line severe fluctuation start time as PK ｅ , mark the end time of severe fluctuation of distribution network line as PJ ｅ , where e represents the e-th distribution network line fluctuation severe time period, e takes values ​​of 1, 2, 3, ... F, and F < N;

[0105] Compare the number of time periods with severe fluctuations in equipment M with the number of time periods with severe fluctuations in distribution network lines F;

[0106] If the number of equipment fluctuations during severe time periods M = the number of distribution network line fluctuations during severe time periods F, then the formula is: , calculate the fluctuation synchronization coefficient TB, in which r = e;

[0107] If the number of equipment fluctuation severe time periods M ≠ the number of distribution network line fluctuation severe time periods F, then obtain the overlap time between the equipment fluctuation severe time periods and the distribution network line fluctuation severe time periods within the target period, obtain the fluctuation severe overlap duration, and mark the fluctuation severe overlap duration as TC;

[0108] Calculate the total duration of all equipment fluctuations in the target period and the total duration of all distribution network line fluctuations in the target period, obtain the equipment fluctuation duration and the distribution network line fluctuation duration, mark the equipment fluctuation duration as TS, and the distribution network line fluctuation duration as TP;

[0109] By formula: , calculate and obtain the fluctuation synchronization coefficient TB;

[0110] Alarm module: Generates target device alarms based on signals caused by target devices, so that power operation and maintenance personnel can understand the reasons for abnormal operation of distribution network lines and realize the coordinated work of power system sources, grids, loads and storage;

[0111] The technical solution of the embodiment of the present invention is mainly as follows: the embodiment of the present invention deeply analyzes the reasons for the abnormal operation status of the distribution network line, especially focusing on the impact of the target device; when the distribution network line is detected to be abnormal, the voltage fluctuation of the target device is immediately monitored in real time to identify the severe fluctuation period of the device within the target time period; then, by calculating the synchronization coefficient between the device fluctuation and the overall fluctuation of the distribution network line, it is evaluated whether the target device is the root cause of the abnormality; the calculation of the fluctuation synchronization coefficient comprehensively considers the time overlap, quantity matching and total duration of the device fluctuation and the distribution network line fluctuation; if the fluctuation times of the two are highly synchronized and the quantities are similar, the fluctuation synchronization coefficient is high, indicating that the target device is likely to be the cause of the abnormality; the calculated fluctuation synchronization coefficient is compared with the preset threshold value, and the target device is judged to be the root cause of the abnormality. It accurately determines whether the distribution network line abnormality is caused by the target device, and instantly generates a corresponding abnormal cause determination signal; if it is confirmed that the target device is the cause, the target device alarm is triggered, and clear abnormal source information is provided to the power operation and maintenance personnel, helping them to respond quickly and solve problems, thereby improving the efficiency and accuracy of power grid operation and maintenance; the technical solution of the embodiment of the present invention relies on detailed monitoring means and in-depth analysis methods to achieve instant and comprehensive evaluation of the operating status of the distribution network line; at the same time, it can also accurately diagnose the root cause of the abnormal phenomenon, thereby providing more comprehensive and accurate data support for power operation and maintenance personnel, improving the scientificity and accuracy of decision-making, improving management efficiency, facilitating rapid response to faults and emergencies, and improving the power system's source-grid-load-storage coordination capabilities.

[0112] The above thresholds are set for the convenience of comparison. The thresholds depend on the amount of sample data and the number of bases set by technicians in this field for each set of sample data.

[0113] The above formulas are obtained by collecting a large amount of data and performing software simulation to select a formula close to the actual value. The factors in the formula are set by technicians in this field according to actual conditions; for example: Formula ; A technician in this field collects multiple sets of monitoring data and sets a corresponding fault coefficient for each set of monitoring data; substitutes the set fault coefficient and the collected monitoring data into the formula, any two formulas constitute a binary linear equation system, and the calculated factors are screened and averaged to obtain , The values ​​of are 2.18 and 2.63 respectively;

[0114] The size of the factor is to quantify each parameter to obtain a specific value for subsequent comparison. The size of the factor depends on the amount of monitoring data and the preliminary setting of the corresponding fault coefficient for each set of monitoring data by technical personnel in this field; as long as it does not affect the proportional relationship between the parameter and the quantified value, such as the fault coefficient is proportional to the value of the fluctuation stability characterization value.

[0115] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A multi-objective planning system for power system source-grid-load-storage coordination, characterized in that: include: Data acquisition module: monitors the operating status of the distribution network line and obtains the monitoring data of the distribution network line within the target period; Among them, the monitoring data include: fluctuation stability characterization value and fluctuation degree characterization value; Data processing module: calculates and obtains the failure coefficient based on monitoring data; Status evaluation module: Based on the fault coefficient, the operating status of the distribution network line within the target period is evaluated to determine whether the distribution network line is in an abnormal state and generate a status evaluation signal; The state assessment signal includes: a normal state signal and an abnormal state signal; Abnormal analysis module: Based on the abnormal state signal, analyze the operating state of the target equipment within the target period, determine whether the abnormal operating state of the distribution network line is caused by the target equipment, and generate an abnormal cause determination signal; Among them, the abnormal cause determination signal includes: a signal caused by a target device and a signal caused by a non-target device; Alarm module: Generates target device alarms based on signals caused by target devices, making it easier for power operation and maintenance personnel to understand the reasons for abnormal operation of distribution network lines and to achieve coordinated work among power system sources, grids, loads and storage.

2. A multi-objective planning system for power system source-grid-load-storage coordination according to claim 1, characterized in that: The process of acquiring monitoring data is as follows: During the operation of the distribution network line, the voltage of the distribution network line is monitored in real time to obtain the voltage fluctuation ratio of the distribution network line within the monitoring period; Based on the voltage fluctuation ratio of each monitoring period within the target period, the fluctuation stability characterization value and the fluctuation degree characterization value of the target period are calculated respectively.

3. A multi-objective planning system for power system source-grid-load-storage coordination according to claim 2, characterized in that: The process of obtaining the voltage fluctuation ratio is: The real-time voltage of the distribution network line is obtained, and based on a two-dimensional coordinate system established with time as the X-axis and the real-time voltage as the Y-axis, the real-time voltage fluctuation curve of the distribution network line is drawn to obtain the voltage fluctuation curve of the distribution network line. At the same time, a straight line is drawn parallel to the X-axis with the preset voltage of the distribution network line as the value of the Y-axis to obtain the preset voltage straight line of the distribution network line; Based on the voltage fluctuation curve of the distribution network line and the preset voltage straight line of the distribution network line, the area of ​​the region enclosed by the voltage fluctuation curve of the distribution network line and the preset voltage straight line of the distribution network line during the monitoring period is calculated to obtain the voltage fluctuation value of the monitoring period, and the voltage fluctuation value is ratio-calculated with the voltage fluctuation threshold to obtain the voltage fluctuation ratio.

4. A multi-objective planning system for power system source-grid-load-storage coordination according to claim 3, characterized in that: The process of obtaining the fluctuation stability characterization value is as follows: Obtain the voltage fluctuation ratio of each monitoring period within the target period and mark the voltage fluctuation ratio as D i , where i represents the i-th monitoring period within the target period, and the value of i is 1, 2, 3, ... N; By formula: , calculate and obtain the fluctuation stability characterization value WD.

5. A multi-objective planning system for power system source-grid-load-storage coordination according to claim 3, characterized in that: The process of obtaining the volatility characterization value is as follows: Obtaining the voltage fluctuation ratio of each monitoring period within the target time period, presetting a voltage fluctuation ratio threshold, and comparing the voltage fluctuation ratio of each monitoring period with the voltage fluctuation ratio threshold; If the voltage fluctuation ratio is less than the voltage fluctuation ratio threshold, a voltage fluctuation slight signal is generated; If the voltage fluctuation ratio is greater than or equal to the voltage fluctuation ratio threshold, a voltage fluctuation serious signal is generated; Extract the total number of severe fluctuation cycles of the distribution network line within the target period to obtain the total number of severe fluctuation cycles of the distribution network line, calculate the ratio of the total number of severe fluctuation cycles of the distribution network line to the total number of monitoring cycles to obtain the severe cycle number ratio; Extract the voltage fluctuation ratio of each distribution network line during the severe fluctuation period, calculate the average of the voltage fluctuation ratios of all distribution network lines during the severe fluctuation period, and obtain the mean of severe voltage fluctuation; Calculate the average of all voltage fluctuation ratios to obtain the voltage fluctuation average; The difference between the voltage severe fluctuation mean and the voltage fluctuation mean is calculated to obtain the severe fluctuation difference, and the severe fluctuation difference is multiplied by the severe cycle number ratio to obtain the severe fluctuation adjustment value; The severe fluctuation adjustment value and the voltage fluctuation mean value are summed to obtain a fluctuation degree characterization value.

6. A multi-objective planning system for power system source-grid-load-storage coordination according to claim 1, characterized in that: The process of calculating the failure coefficient is: By formula: , the fault coefficient GZ is calculated, where a1 and a2 are preset proportional factors, and both are greater than 0, WD is the fluctuation stability characterization value, and CD is the fluctuation degree characterization value.

7. A multi-objective planning system for power system source-grid-load-storage coordination according to claim 6, characterized in that: The process of generating the status evaluation signal is: Preset a fault coefficient threshold, and compare and analyze the fault coefficient with the fault coefficient threshold; If the fault coefficient is less than the fault coefficient threshold, a state normal signal is generated; If the fault coefficient is greater than or equal to the fault coefficient threshold, a state abnormality signal is generated.

8. The multi-objective planning system for power system source-grid-load-storage coordination according to claim 1 is characterized in that: The process of generating an abnormal cause determination signal is as follows: Based on the abnormal status signal, the voltage of the target device is monitored in real time to obtain the severe fluctuation period of the target device within the target time period; Calculate the fluctuation synchronization coefficient based on the severe fluctuation periods of all equipment and distribution network lines within the target period; Preset a fluctuation synchronization coefficient threshold, and compare and analyze the fluctuation synchronization coefficient with the fluctuation synchronization coefficient threshold; If the fluctuation synchronization coefficient is less than the fluctuation synchronization coefficient threshold, a non-target device causing signal is generated; If the fluctuation synchronization coefficient is greater than or equal to the fluctuation synchronization coefficient threshold, a signal is generated that the target device is causing the problem.

9. A multi-objective planning system for power system source-grid-load-storage coordination according to claim 8, characterized in that: The calculation process of the fluctuation synchronization coefficient is: Based on all equipment severe fluctuation periods within the target time period, the consecutive equipment severe fluctuation periods are merged to obtain multiple equipment severe fluctuation time periods; The number M of equipment fluctuation-severe time periods and the number F of distribution network line fluctuation-severe time periods are obtained respectively, and compared; If the number of equipment fluctuations during severe time periods M = the number of distribution network line fluctuations during severe time periods F, then the formula is: , calculate the fluctuation synchronization coefficient TB, in which r = e; If the number of equipment fluctuation severe time periods M ≠ the number of distribution network line fluctuation severe time periods F, then obtain the overlap time between the equipment fluctuation severe time periods and the distribution network line fluctuation severe time periods within the target period, obtain the fluctuation severe overlap duration, and mark the fluctuation severe overlap duration as TC; Calculate the total duration of all equipment fluctuations in the target period and the total duration of all distribution network line fluctuations in the target period, obtain the equipment fluctuation duration and the distribution network line fluctuation duration, mark the equipment fluctuation duration as TS, and the distribution network line fluctuation duration as TP; By formula: , calculate and obtain the fluctuation synchronization coefficient TB.

10. A multi-objective planning system for power system source-grid-load-storage coordination according to claim 9, characterized in that: The process of obtaining the number of time periods with severe equipment fluctuations M and the number of time periods with severe distribution network line fluctuations F is as follows: Extract the start time and end time of each equipment fluctuation severe time period respectively, obtain the equipment fluctuation severe start time and equipment fluctuation severe end time of each equipment fluctuation severe time period, and mark the equipment fluctuation severe start time as SK r , mark the end time of severe equipment fluctuation as SJ r , where r represents the rth device fluctuation severe time period, r takes values ​​of 1, 2, 3, ... M, and M < N; Get the start time and end time of each distribution network line severe fluctuation period, get the distribution network line severe fluctuation start time and distribution network line severe fluctuation end time of each distribution network line severe fluctuation period, and mark the distribution network line severe fluctuation start time as PK ｅ , mark the end time of severe fluctuation of distribution network line as PJ ｅ , where e represents the e-th distribution network line fluctuation severe time period, e takes values ​​of 1, 2, 3, ... F, and F < N.

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