CN116581890B - Intelligent monitoring method and system for operation stability of power grid - Google Patents
Intelligent monitoring method and system for operation stability of power grid Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/04—Circuit arrangements for ac mains or ac distribution networks for connecting networks of the same frequency but supplied from different sources
- H02J3/06—Controlling transfer of power between connected networks; Controlling sharing of load between connected networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
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Abstract
The application discloses an intelligent monitoring method and system for operation stability of a power grid, belonging to the field of intelligent monitoring, wherein the method comprises the following steps: identifying the relation among all relevant combined operation equipment in the power grid, and dividing the relation into a plurality of combined power grids; monitoring the electric power data of each combined power grid, and identifying the stability index of each combined power grid; optimizing and optimizing the stability index of each combined power grid, and determining a first stability index; identifying a first combined power grid corresponding to the first stability index; and performing stability adjustment on the rest combined power grids except the first combined power grid according to the first stability index. The application solves the technical problems that the monitoring comprehensiveness and accuracy of the running stability of the power grid are low in the prior art, so that the whole stable running of the power grid is difficult to realize, and achieves the technical effects of realizing comprehensive and accurate monitoring and accurate regulation of the stable running of the power grid and improving the safe and stable running capability of the power grid.
Description
Technical Field
The application relates to the field of intelligent monitoring, in particular to an intelligent monitoring method and system for power grid operation stability.
Background
The electric power system is used as an infrastructure of national economy, and safe and stable operation is an important guarantee of national energy safety. As power systems become increasingly complex and scale-up continues, the potential instability factors in the grid operation process are also increasing, and the safe and stable operation of the grid faces serious challenges. In the existing power grid operation monitoring technology, a fixed value monitoring and device local stability control-based mode is mainly adopted, interaction between devices in power grid combined operation is difficult to comprehensively consider, intelligent monitoring and accurate control cannot be realized for the whole power grid, and the problem of power grid instability is difficult to effectively detect and treat in time.
Disclosure of Invention
The application provides an intelligent monitoring method and system for power grid operation stability, and aims to solve the technical problems that the monitoring of the power grid operation stability in the prior art is low in comprehensiveness and accuracy, so that the whole stable operation of the power grid is difficult to realize.
In view of the above problems, the application provides an intelligent monitoring method and system for power grid operation stability.
The first aspect of the application discloses an intelligent monitoring method for power grid operation stability, which comprises the following steps: acquiring a first target power grid, identifying the joint operation relation of equipment of the first target power grid, and outputting N joint power grids, wherein the equipment in each joint power grid is in complete joint operation; outputting N electric power monitoring data sets by carrying out electric power data monitoring on N combined power grids; performing stability identification according to the N electric power monitoring data sets, and outputting N stability indexes; respectively optimizing the N combined power grids according to the N stability indexes to obtain N optimized stability indexes, introducing a stability adjustment optimizing model to optimize the N optimized stability indexes, and determining a first stability index; identifying a first combined power grid corresponding to a first stability index, wherein the first stability index belongs to N regulated stability indexes; and performing stability adjustment on the rest combined power grids except the first combined power grid according to the first stability index.
In another aspect of the disclosure, an intelligent monitoring system for operation stability of a power grid is provided, the system comprising: the combined operation identification module is used for acquiring a first target power grid, carrying out combined operation relation identification on equipment of the first target power grid, and outputting N combined power grids, wherein the equipment in each combined power grid performs combined operation in a complete set; the power data monitoring module is used for outputting N electric power monitoring data sets by carrying out electric power data monitoring on N combined power grids; the stability identification module is used for carrying out stability identification according to the N electric power monitoring data sets and outputting N stability indexes; the stability index optimizing module is used for respectively optimizing the N combined power grids according to the N stability indexes to obtain N optimized stability indexes, introducing a stability adjustment optimizing model to optimize the N optimized stability indexes, and determining a first stability index; the identification combined power grid module is used for identifying a first combined power grid corresponding to a first stability index, wherein the first stability index belongs to N regulated stability indexes; and the remaining power grid adjusting module is used for adjusting the stability of the remaining power grids except the first power grid according to the first stability index.
One or more technical schemes provided by the application have at least the following technical effects or advantages:
because the method adopts the steps of acquiring the target power grid, carrying out joint operation relation identification on the equipment of the target power grid, outputting N joint power grids, and providing a basis for subsequent monitoring and control; acquiring electric power monitoring data sets of N combined power grids, and providing data support for stability identification; carrying out stability identification according to the electric power monitoring data set, outputting N stability indexes, and providing a judgment basis for subsequent tuning; the method comprises the steps of optimizing a combined power grid with poor operation stability, and then selecting a first combined power grid with optimal stability from a plurality of optimized combined power grids to provide reference for subsequent control; identifying a first combined power grid corresponding to the first stability index; according to the technical scheme of carrying out stability adjustment on other combined power grids according to the first stability index and realizing the overall stable operation of the power grid, the technical problems that monitoring comprehensiveness and accuracy of operation stability of the power grid are low in the prior art, and therefore the overall stable operation of the power grid is difficult to realize are solved, and the technical effects of realizing comprehensive accurate monitoring and accurate regulation of the stable operation of the power grid and improving the safety and stability operation capability of the power grid are achieved.
The foregoing description is only an overview of the present application, and is intended to be implemented in accordance with the teachings of the present application in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present application more readily apparent.
Drawings
Fig. 1 is a schematic flow chart of a possible intelligent monitoring method for power grid operation stability according to an embodiment of the present application;
fig. 2 is a schematic flow chart of a possible identification of N combined power grids in an intelligent monitoring method for power grid operation stability according to an embodiment of the present application;
fig. 3 is a schematic flow chart of a possible adjustment of the remaining combined power grid in the intelligent monitoring method of the power grid operation stability according to the embodiment of the present application;
fig. 4 is a schematic diagram of a possible structure of an intelligent monitoring system for power grid operation stability according to an embodiment of the present application.
Reference numerals illustrate: the system comprises a joint operation identification module 11, a power data monitoring module 12, a stability identification module 13, a stability index optimizing module 14, an identification joint power grid module 15 and a residual power grid adjusting module 16.
Detailed Description
The technical scheme provided by the application has the following overall thought:
The embodiment of the application provides an intelligent monitoring method and system for power grid operation stability. By analyzing and identifying the operation relation among all relevant combined operation equipment in the power grid, the accurate monitoring and intelligent regulation and control of the overall operation stability of the power grid are realized.
Firstly, comprehensively considering the operation dependency relationship among all relevant devices in a power grid, identifying a tightly combined operation device group in the power grid, dividing the tightly combined operation device group into a plurality of combined power grids, wherein the devices in each combined power grid have close operation dependency relationship and interaction influence; then, accurately monitoring the operation state of each combined power grid, detecting the operation state of each combined power grid by monitoring the electric power data of all equipment in the combined power grid, and identifying the stability index of each combined power grid to accurately judge the overall operation state of the power grid; for the combined power grid with poor running state, firstly adopting local adjustment measures to improve the stability of the combined power grid; further, selecting one combined power grid with optimal stability from the stability indexes of the multiple combined power grids; and finally, accurately adjusting other combined power grids according to the stability index of the optimal combined power grid to enable the other combined power grids to reach a stable state equal to that of the optimal combined power grid, and realizing the integral stable operation of the power grid.
Having described the basic principles of the present application, various non-limiting embodiments of the present application will now be described in detail with reference to the accompanying drawings.
Examples
As shown in fig. 1, an embodiment of the present application provides an intelligent monitoring method for operation stability of a power grid, where the method includes:
step S100: acquiring a first target power grid, identifying the joint operation relation of equipment of the first target power grid, and outputting N joint power grids, wherein the equipment in each joint power grid is in complete joint operation;
in particular, the first target grid refers to a grid system to be monitored, which comprises a plurality of grid devices, such as generators, transformers, lines, etc. Firstly, monitoring equipment data of a power grid system in real time, and extracting historical operation data of a target power grid; secondly, calculating correlation coefficients among all power grid equipment by adopting historical operation data of the power grid equipment, such as power, voltage and the like, and constructing a correlation matrix among the power grid equipment; then, binarizing the correlation matrix by adopting a threshold method, wherein the correlation coefficient higher than the threshold value is set to 1, and the correlation coefficient lower than the threshold value is set to 0; then, clustering the binarized cross-correlation matrix by adopting K-means clustering, wherein each clustering result corresponds to a combined power grid and represents a group of power grid equipment which are linked with each other in a working way; and then, evaluating the linkage of the equipment in each combined power grid, if a certain equipment is not classified correctly, correcting, and finally determining N combined power grids, wherein the equipment in each combined power grid has a strong work dependency relationship, and the equipment is combined to run in a complete set.
The N combined power grids are output by acquiring the first target power grid and identifying the combined operation relationship of the equipment of the first target power grid, so that the combined operation relationship among the equipment in the power grid system is effectively identified, and an important basis is provided for subsequent power grid stability analysis and adjustment.
Step S200: outputting N electric power monitoring data sets by carrying out electric power data monitoring on the N combined power grids;
specifically, each of the N combined power grids represents a set of power grid equipment which are linked with each other in a power grid system, and electric power data, such as active power, reactive power and the like of each power grid equipment in each combined power grid, are monitored in real time to form an electric power monitoring data set.
First, for each combined grid, key grid devices are selected as monitoring objects, such as generators, buses, transformers and the like, and the changes of electric power data of the devices reflect the operation state of the combined grid. Secondly, setting and monitoring the electric power data index of each device, such as active power, reactive power, voltage and other data, and covering the electric power change condition of the device under different running states. And then, the SCADA/EMS system is used for realizing real-time electric power data monitoring of the monitoring devices in each combined power grid, and the SCADA/EMS system collects the electric power data of each monitoring device every few seconds. And then, storing the real-time electric power data collected by the SCADA/EMS system monitoring to form an electric power monitoring data set. Each combined power grid corresponds to an electric power monitoring data set, and electric power values of all monitoring devices of the combined power grid at different times are recorded. And then, checking the data collected by monitoring, removing invalid data and abnormal data, and ensuring the accuracy of an electric power monitoring data set. And finally, outputting N electric power monitoring data sets, and providing data support for subsequent power grid stability identification and adjustment analysis.
Step S300: performing stability identification according to the N electric power monitoring data sets, and outputting N stability indexes;
specifically, the N electric power monitoring data sets record electric power operation data of the N combined power grids, analyze electric power data changes in the data sets, determine a stable state of the corresponding combined power grid, such as normal, abnormal or unstable, and output a stability index corresponding to the combined power grid. The stability indicator is expressed in terms of probability of failure and circuit recovery capability. The probability of failure refers to the probability of system abnormality caused by equipment failure in the combined power grid, and the circuit recovery capability refers to the capability of recovering to a normal state after the system abnormality. The smaller the probability of failure and the stronger the circuit recovery capability, the higher the stability of the combined grid.
Firstly, setting normal operation thresholds, such as an active power threshold of a generator, a bus voltage threshold and the like, for each combined power grid according to power grid operation experience, wherein the normal operation thresholds represent electric power reference values when equipment normally operates. And secondly, detecting whether the electric power data of each device exceeds a normal threshold value in the electric power monitoring data set, if so, identifying faults, counting the times of faults within a specified time, and calculating the fault probability, wherein the higher the fault probability is, the worse the stability is. Then, after the failure occurs, the electric power of the equipment in the electric power monitoring data set is analyzed to return to normal time and process, if the recovery time is short and the process is stable, the circuit recovery capacity is high, and the higher the circuit recovery capacity is, the better the stability is. And then, comprehensively evaluating the stability of each combined power grid according to the probability of occurrence of faults and the circuit recovery capacity, wherein the smaller the probability of occurrence of faults and the stronger the circuit recovery capacity, the higher the stability, the stability index is given to each combined power grid according to the evaluation result, N stability indexes are output, each stability index corresponds to one combined power grid, and the higher the stability index value is, the more stable the combined power grid is indicated.
By utilizing the electric power monitoring data set, abnormal data are detected, the fault recovery process is analyzed, the probability of occurrence of faults is calculated, the recovery capacity of a circuit is judged, the stability of each combined power grid is judged, and a stability index is output, so that a basis is provided for subsequent power grid regulation and control decision.
Step S400: respectively optimizing the N combined power grids according to the N stability indexes to obtain N optimized stability indexes, introducing a stability adjustment optimizing model to optimize the N optimized stability indexes, and determining a first stability index;
specifically, the N combined power grids are respectively optimized according to the N stability indexes, which is to perform parameter adjustment on the combined power grid with lower stability in advance, such as increasing generator inertia, adjusting PSS parameters, and the like, so as to improve the stability of the combined power grid. And (5) calculating the stability indexes again after tuning to obtain N stability indexes after tuning. However, stability indexes of different combined power grids after tuning are not necessarily coordinated, so that after a system fault, some combined power grids recover to a stable state, and other combined power grids are still in a transition process, and the stability of the whole power grid is affected. Therefore, after each combined power grid is optimized, a stable adjustment optimizing model is adopted to optimize among stability indexes, and an optimal stability index is found to serve as a first stability index, so that the method is a target and a basis for whole power grid adjustment.
Firstly, sequencing all the combined power grids according to the stability index value from low to high, and preferentially optimizing the combined power grid with low stability index value; analyzing equipment parameters and topological structures of each combined power grid, and determining adjustable parameters such as generator inertia, PSS parameters, line impedance and the like; adjusting the adjustable parameters, increasing generator inertia and PSS gain, increasing line impedance and the like to improve manuscript quality of the combined power grid; and performing stability identification again, and calculating the stability indexes after tuning to obtain N stability indexes after tuning. Then, constructing random mapping relations among the combined power grids, wherein each mapping relation is a mapping relation between the randomly selected combined power grid and the rest combined power grids; for each mapping relation, calculating the total loss, such as economic loss, generated by parameter adjustment of the mapped combined power grid after tuning, and forming a group of loss mapping data sets; and searching a solution with the minimum total loss in each group of loss mapping data sets, wherein the stability index of the minimum solution corresponding to the combined power grid is a first stability index.
Through carrying out parameter adjustment on each combined power grid according to the stability index, the stability of the combined power grid is improved, then a stability adjustment optimizing model is adopted to optimize among the stability indexes after adjustment, a first stability index is found and used as a power grid adjustment target, so that loss in the power grid adjustment process is reduced to the maximum extent, intelligent planning of power grid stability adjustment is realized, and economic and stable operation of the power grid is ensured.
Step S500: identifying a first combined power grid corresponding to the first stability index, wherein the first stability index belongs to N regulated stability indexes;
specifically, a first stability index is found among the N stability indexes after tuning, and the first stability index is determined as a target stability index in the process of optimizing, so that the overall regulation loss of the power grid is minimized. In the process of optimizing each combined power grid and calculating the stability index, each combined power grid is assigned with a number, each combined power grid is mapped with each stability index one by one, and after the first stability index is obtained, the number of the combined power grid corresponding to the first stability index is determined through the mapping relation.
And by identifying the first combined power grid, the standard and the basis of the stable operation of the power grid are defined, and a foundation is provided for intelligent stable control of the power grid.
Step S600: and performing stability adjustment on the rest combined power grids except the first combined power grid according to the first stability index.
Specifically, stability adjustment is performed on other combined power grids except the first combined power grid according to the first stability index, so that the stability levels of the combined power grids are coordinated and consistent, and stable operation of the power grids is realized. First, stability indexes of the other combined power grids except the first combined power grid are obtained, and the indexes form residual stability indexes. And then comparing the first stability index with each remaining stability index to obtain a plurality of index adjustment vectors, wherein each index adjustment vector represents the amount by which the stability index of the combined power grid needs to be adjusted. And then, determining the regulating mode of each combined power grid according to the size of the index regulating vector, for example, regulating the inertia of a generator or PSS parameters and the like, wherein the larger the index regulating quantity is, the larger the regulating amplitude of the combined power grid is. And then, according to the index adjustment vectors and the corresponding adjustment modes, adjusting the stability parameters of each remaining combined power grid. And then, calculating the regulated stability index of each residual combined power grid again, judging whether all the stability indexes reach the level equivalent to the first stability index, and if not, continuing regulating until the requirements are met. And after the stability indexes of all the remaining combined power grids meet the requirements, the stability levels of the combined power grids are coordinated, and the power grids reach a stable running state.
The parameter adjustment mode and the amplitude of each combined power grid are determined according to the difference between the first stability index and the stability index of other combined power grids, the coordinated stability adjustment is carried out, the stability level of each combined power grid finally meets the unified standard, the coordinated control of the power grid stability is realized, the stable operation target is achieved, the closed loop of the power grid stability monitoring and control is realized, the follow-up adjustment is further carried out on other combined power grids on the basis that the first combined power grid meets the requirements, the comprehensive accurate monitoring and the accurate adjustment of the stable operation of the power grid are finally realized, and the safe and stable operation capability of the power grid is improved.
Further, as shown in fig. 2, the embodiment of the present application further includes:
step S310: performing feature analysis on the N combined power grids to obtain the number features of power grid equipment and the functional features of the power grid equipment of each combined power grid;
step S320: the method comprises the steps of evaluating the number characteristics of the power grid equipment and the functional characteristics of the power grid equipment of each combined power grid, and outputting N evaluation indexes corresponding to the N combined power grids, wherein the N evaluation indexes comprise N important indexes, and each combined power grid corresponds to one important index;
Step S330: and identifying the N combined power grids according to the N important indexes.
Specifically, firstly, selecting an index capable of reflecting the characteristics of equipment of a combined power grid, such as the number of the equipment, the type of the equipment, the capacity of the equipment, the action of the equipment and the like as a characteristic index; collecting related data of power grid equipment, such as equipment quantity, type, capacity, function and the like, contained in each combined power grid, and providing basis for feature analysis; and then, counting the number of main power grid equipment contained in each combined power grid, such as the number of generators, the number of transformers, the number of buses and the like, and obtaining the number characteristics of the power grid equipment. The larger the number of devices, the larger the scale of the combined grid; and analyzing the functions of various power grid devices in each combined power grid, such as power generation, power transmission, power transformation and the like, so as to obtain the power grid device function characteristics of the combined power grid, and further outputting the power grid device quantity characteristics and the power grid device function characteristics of each combined power grid.
Then, selecting indexes capable of evaluating the importance of the combined power grid, such as the equipment quantity ratio, the key equipment quantity, the power grid scale index and the like, as evaluation indexes; and setting a standard for each evaluation index according to the power grid operation experience, and judging the importance degree of the combined power grid, wherein the importance power grid is important if the equipment quantity ratio is more than 5%. Then, calculating the equipment quantity ratio, wherein the equipment quantity of each combined power grid is in proportion to the total equipment quantity of the power grid, and the larger the ratio is, the more important the combined power grid is; counting the number of key power grid equipment, such as the number of main transformers, contained in each combined power grid, wherein the more the number is, the more important the combined power grid is; and calculating the power grid scale index of each combined power grid according to the total capacity of the power grid equipment contained in the combined power grid. The larger the scale index, the higher the importance of the combined grid. And then, the values of all the evaluation indexes and the set standard are integrated to evaluate, the importance degree of each combined power grid is judged, and an evaluation index is given, wherein the higher the evaluation index is, the more important the combined power grid is. The method comprises the steps of obtaining N evaluation indexes for N combined power grids through evaluation, wherein the N evaluation indexes comprise N important indexes, and each combined power grid corresponds to one important index. And finally, according to the importance index of the combined power grid, giving corresponding marks, such as color marks, wherein the more striking the marks, the higher the importance of the combined power grid.
The importance degree of each combined power grid is determined by evaluating the power grid equipment characteristics of each combined power grid, the combined power grids are identified according to the importance indexes, and a foundation is laid for accurate implementation of power grid stability monitoring and control.
Further, the embodiment of the application further comprises:
step S410: building a stable adjustment optimizing model, wherein the stable adjustment optimizing model comprises a first adjustment loss function;
step S420: analyzing the N combined power grids according to the first regulation loss function, outputting N groups of loss mapping data sets, optimizing according to the N groups of loss mapping data sets, and outputting a first stability index corresponding to the minimum loss;
the mapping relation of each group of loss mapping data sets is a mapping relation between a randomly selected combined power grid and the rest of combined power grids, and each group of loss mapping data sets comprises adjustment loss data caused by adjusting the rest of combined power grids.
Specifically, first, mapping relations between the combined grid and the remaining combined grids are selected as adjustment objects, and each mapping relation corresponds to one main combined grid and one remaining combined grid. And secondly, selecting parameter adjustment modes between the combined power grids, such as generator output adjustment, PSS parameter adjustment and the like, wherein each mapping relation corresponds to one or more adjustment modes. The loss function is then determined based on the various regulation modes for calculating losses resulting from taking some regulation mode between the combined grid, constituting a first regulation loss function. And for each mapping relation, adopting a corresponding adjusting mode and calling a related loss function to calculate the adjusting loss to obtain a mapping loss value so as to form a loss mapping data set. And searching a solution with the minimum corresponding to the total loss in each loss mapping data set, wherein the stability index of the randomly selected combined power grid in the mapping relation corresponding to the minimum value is the first stability index.
By constructing a stable adjustment optimizing model, calculating possible adjustment losses among all combined power grids based on a first adjustment loss function, optimizing in a plurality of loss mapping data sets, finding an optimal solution which minimizes the total loss, and determining a first stability index, thereby reducing the loss of power grid stable control to the maximum extent and realizing economic stable operation of the power grid.
Further, the embodiment of the application further comprises:
step S431: optimizing the adjusting loss function according to the N important indexes, and outputting a second adjusting loss function;
step S432: and outputting a first stability index corresponding to the minimum loss according to the second regulation loss function.
Specifically, each index corresponds to the importance degree of one combined power grid in the N important indexes, the first adjusting loss function is optimized according to the important indexes, so that the importance of each combined power grid is considered, the weights of the adjusting losses of different combined power grids are calculated in the loss function, the more important combined power grids correspond to the larger weights, and the optimized loss function is the second adjusting loss function. Then, calculating the adjustment loss of each random mapping relation by using a second adjustment loss function to obtain an optimized loss mapping data set; searching a solution with the minimum total loss in the optimized loss mapping data set, wherein the stability index of the corresponding combined power grid with the smaller stability index in the solution is a first stability index.
The original first regulation loss function is optimized according to the importance index of the combined power grid, a second regulation loss function considering the importance of the combined power grid is obtained, a better first stability index is found according to the second regulation loss function, the regulation loss of the more important combined power grid is further reduced on the basis of meeting the overall stability requirement of the power grid, the protection of important areas of the power grid is realized, and the running economy of the power grid is improved.
Further, the embodiment of the application further comprises:
step S710: obtaining M stability indexes which are smaller than or equal to a preset stability index in the N stability indexes by judging the N stability indexes, wherein M is a positive integer smaller than or equal to N;
step S720: and determining M combined power grids according to the M stability indexes, and respectively tuning by taking the M combined power grids as tuning objects.
Specifically, the N stability indexes are determined to obtain M stability indexes, where the M stability indexes are smaller than or equal to a preset index value. Firstly, setting a preset stability index according to the safe and stable operation experience of a power grid, and performing tuning on a combined power grid which is lower than the preset stability index serving as a judgment standard; secondly, acquiring stability indexes of each combined power grid, comparing each stability index with a preset index, if the stability index is lower than the preset index, retaining the stability index, otherwise, discarding; and then, counting the number M of the reserved stability indexes, wherein M is smaller than or equal to N, and the combined power grid corresponding to the M stability indexes is the combined power grid to be optimized.
And then, searching the combined power grids corresponding to the M stability indexes in the N combined power grids, wherein each stability index corresponds to one combined power grid, and determining the M searched combined power grids as the combined power grids needing tuning. Selecting a proper tuning mode for each combined power grid according to equipment and structural characteristics of the combined power grid, such as increasing generator inertia or optimizing PSS parameters; and (3) after tuning each combined power grid, recalculating the stability index of each combined power grid, judging whether the stability index reaches a preset index, and if not, continuing tuning until the requirements are met.
And (3) finding out a combined power grid with the stability not reaching the standard by judging the value of the stability index of each combined power grid, correspondingly outputting M stability indexes, determining M combined power grids corresponding to the M stability indexes, and carrying out parameter adjustment on the M combined power grids to improve the stability, thereby realizing coordination control on the power grid and providing a basis for the accurate implementation of the stability control of the power grid.
Further, as shown in fig. 3, the embodiment of the present application further includes:
step S610: obtaining a residual stability index corresponding to the residual combined power grid, and comparing the first stability index with the residual stability index to obtain a plurality of index adjustment vectors;
Step S620: selecting an adjusting mode according to the sizes of the index adjusting vectors;
step S630: and adjusting the residual combined power grid one by one according to the index adjustment vectors and the selected adjustment modes.
Specifically, first, other joint grids except the first joint grid are searched in all joint grids, and the joint grids form the rest joint grids; then, the stability index corresponding to the residual combined power grid is found out from the stability indexes to form a residual stability index; the first stability index is then compared to each of the remaining stability indexes, and differences between them are calculated, each difference constituting an index adjustment vector. The size of the index adjustment vector represents the stability level that the corresponding combined power grid needs to be adjusted, and the larger the number is, the larger the amount that needs to be adjusted is. And recording a plurality of index adjustment vectors and corresponding combined power grids thereof, and providing basis for subsequent adjustment mode selection and parameter adjustment.
Then, setting a threshold value of an index adjusting vector, wherein the adjusting vector larger than the threshold value is corresponding to the combined power grid and needs to adopt a stronger adjusting mode; and then, comparing each index adjustment vector with a preset threshold value, and judging which adjustment vectors are larger than the threshold value. For the adjustment vector larger than the threshold value, selecting a more emphasized node mode such as generator output adjustment or PSS parameter reset; and for the adjustment vector smaller than the threshold value, a lighter adjustment mode such as fine adjustment of the output of the generator or optimization of the PSS parameters is selected. Recording the corresponding adjusting modes of the index adjusting vectors, and providing basis for adjusting control.
Finally, finding the vector sum mode corresponding to each residual combined power grid in the recorded index adjustment vector sum mode; adjusting stability parameters of each residual combined power grid according to the selected adjustment mode; and (5) after adjustment, recalculating the stability index of each residual combined power grid, judging whether the first stability index requirement is met, and if not, continuing adjustment until the requirement is met.
And obtaining index adjustment vectors through comparison and analysis, selecting corresponding adjustment modes, accurately adjusting the rest combined power grids according to requirements, and finally enabling stability indexes of the combined power grids to meet unified standards so as to realize coordinated control of stable operation of the power grids.
Further, the embodiment of the application further comprises:
step S621: the static regulation evaluation, the transient regulation evaluation and the dynamic regulation evaluation are carried out on each power grid in the residual combined power grids, so that a static evaluation result, a transient evaluation result and a dynamic evaluation result for identifying the recovery capacity of the power grid are obtained;
step S622: and selecting an adjusting mode according to the static evaluation result, the transient evaluation result and the dynamic evaluation result.
Specifically, static adjustment evaluation, transient adjustment evaluation and dynamic adjustment evaluation are adopted for each power grid in the rest combined power grids, and an evaluation result is obtained. And three adjustment evaluations are carried out on each remaining combined power grid, namely a static adjustment mode, a transient adjustment mode and a dynamic adjustment mode are respectively adopted, the stability and recovery capacity indexes of the adjusted power grid are calculated, a static evaluation result, a transient evaluation result and a dynamic evaluation result are obtained, the adaptability of each power grid to different adjustment modes is reflected, and a basis is provided for the selection of the adjustment modes. Static regulation evaluation adopts a lighter regulation mode, such as fine adjustment of generator output or PSS parameters, and checks the stability and recovery capability of the power grid under a new steady state; the transient state adjustment evaluation adopts a stronger adjustment mode, such as greatly changing the output of a generator or resetting PSS parameters, and checking the stability and dynamic characteristics of the power grid in the parameter changing process; dynamic regulation evaluation is to adopt a powerful regulation mode in the transient process of power grid faults and the like, such as quickly changing the output of a generator or closing a PSS, and checking the stability recovery condition of the power grid in the dynamic process.
And then, selecting an adjusting mode according to the static evaluation result, the transient evaluation result and the dynamic evaluation result, wherein the adjusting mode is a mode which can meet the stability requirement and has the least influence on the dynamic characteristics of the power grid. If all three evaluation results of a certain power grid meet the requirements, a mode with smaller influence is preferably selected. If a certain evaluation result is poor, the selection of a corresponding mode is avoided.
By adopting three methods of static regulation evaluation, transient regulation evaluation and dynamic regulation evaluation, the stability and dynamic recovery capacity of each power grid under different regulation modes are comprehensively checked, evaluation results are obtained, the three evaluation results are comprehensively judged, the regulation mode with the smallest influence on the power grid is selected, the mode of poor power grid performance is avoided, the stability control meets the stability requirement, the dynamic characteristics of the power grid are considered, the stable safe and efficient control is realized, the comprehensive accurate monitoring and accurate regulation of the stable operation of the power grid are realized, and the safe and stable operation capacity of the power grid is improved.
In summary, the intelligent monitoring method for the operation stability of the power grid provided by the embodiment of the application has the following technical effects:
acquiring a first target power grid, identifying the joint operation relationship of equipment of the first target power grid, and outputting N joint power grids, wherein the equipment in each joint power grid is in complete joint operation, and the closely joint operation equipment is divided into a plurality of joint power grids by identifying the joint operation relationship among the equipment in the power grid, so that a foundation is provided for subsequent monitoring and control; the method comprises the steps of monitoring electric power data of N combined power grids, outputting N electric power monitoring data sets, detecting the running state of each combined power grid by monitoring electric power data of all equipment in each combined power grid, and providing data support for stability identification; carrying out stability identification according to the N electric power monitoring data sets, and outputting N stability indexes for judging the running stable state of each combined power grid, so as to provide a judging basis for subsequent tuning; respectively optimizing N combined power grids according to the N stability indexes to obtain N optimized stability indexes, introducing a stability adjustment optimizing model to optimize the N optimized stability indexes, determining a first stability index, optimizing the combined power grid with poor running stability, and then selecting a first combined power grid with optimal stability from the multiple optimized combined power grids to provide reference for subsequent control; identifying a first combined power grid corresponding to the first stability index, wherein the first stability index belongs to N stability indexes after tuning, and confirming the selected first combined power grid with optimal stability; and carrying out stability adjustment on the rest of the combined power grids except the first combined power grid according to the first stability index, and carrying out necessary adjustment on the other combined power grids to enable the rest of the combined power grids to reach a stable state equal to that of the first combined power grid, so that the whole stable operation of the power grid is realized, the comprehensive and accurate monitoring and accurate regulation and control on the stable operation of the power grid are realized, and the safe and stable operation capacity of the power grid is improved.
Examples
Based on the same inventive concept as the intelligent monitoring method of the operation stability of the power grid in the foregoing embodiment, as shown in fig. 4, an embodiment of the present application provides an intelligent monitoring system of the operation stability of the power grid, where the system includes:
the combined operation recognition module 11 is configured to obtain a first target power grid, perform combined operation relationship recognition on equipment of the first target power grid, and output N combined power grids, where equipment in each combined power grid performs combined operation in a complete set;
a power data monitoring module 12, configured to output N electric power monitoring data sets by performing electric power data monitoring on the N combined power grids;
the stability recognition module 13 is configured to perform stability recognition according to the N electric power monitoring data sets, and output N stability indexes;
the stability index optimizing module 14 is configured to perform optimization on the N combined power grids according to the N stability indexes, obtain N optimized stability indexes, introduce a stability adjustment optimizing model to optimize the N optimized stability indexes, and determine a first stability index;
the identification combined power grid module 15 is configured to identify a first combined power grid corresponding to the first stability index, where the first stability index belongs to N stability indexes after tuning;
And the remaining power grid adjustment module 16 is used for performing stability adjustment on the remaining power grids except the first power grid according to the first stability index.
Further, identifying the federated power grid module 15 includes the following performing steps:
performing feature analysis on the N combined power grids to obtain the number features of power grid equipment and the functional features of the power grid equipment of each combined power grid;
the method comprises the steps of evaluating the number characteristics of the power grid equipment and the functional characteristics of the power grid equipment of each combined power grid, and outputting N evaluation indexes corresponding to the N combined power grids, wherein the N evaluation indexes comprise N important indexes, and each combined power grid corresponds to one important index;
and identifying the N combined power grids according to the N important indexes.
Further, the stability index optimizing module 14 includes the following steps:
building a stable adjustment optimizing model, wherein the stable adjustment optimizing model comprises a first adjustment loss function;
analyzing the N combined power grids according to the first regulation loss function, outputting N groups of loss mapping data sets, optimizing according to the N groups of loss mapping data sets, and outputting a first stability index corresponding to the minimum loss;
The mapping relation of each group of loss mapping data sets is a mapping relation between a randomly selected combined power grid and the rest of combined power grids, and each group of loss mapping data sets comprises adjustment loss data caused by adjusting the rest of combined power grids.
Further, the stability index optimizing module 14 further includes the following steps:
optimizing the adjusting loss function according to the N important indexes, and outputting a second adjusting loss function;
and outputting a first stability index corresponding to the minimum loss according to the second regulation loss function.
Further, the embodiment of the application further comprises a stability index judging module, and the module comprises the following execution steps:
obtaining M stability indexes which are smaller than or equal to a preset stability index in the N stability indexes by judging the N stability indexes, wherein M is a positive integer smaller than or equal to N;
and determining M combined power grids according to the M stability indexes, and respectively tuning by taking the M combined power grids as tuning objects.
Further, the remaining grid conditioning module 16 includes the following steps:
obtaining a residual stability index corresponding to the residual combined power grid, and comparing the first stability index with the residual stability index to obtain a plurality of index adjustment vectors;
Selecting an adjusting mode according to the sizes of the index adjusting vectors;
and adjusting the residual combined power grid one by one according to the index adjustment vectors and the selected adjustment modes.
Further, the remaining grid conditioning module 16 further includes the following steps:
the static regulation evaluation, the transient regulation evaluation and the dynamic regulation evaluation are carried out on each power grid in the residual combined power grids, so that a static evaluation result, a transient evaluation result and a dynamic evaluation result for identifying the recovery capacity of the power grid are obtained;
and selecting an adjusting mode according to the static evaluation result, the transient evaluation result and the dynamic evaluation result.
Any of the steps of the methods described above may be stored as computer instructions or programs in a non-limiting computer memory and may be called by a non-limiting computer processor to identify any method for implementing an embodiment of the present application, without unnecessary limitations.
Further, the first or second element may not only represent a sequential relationship, but may also represent a particular concept, and/or may be selected individually or in whole among a plurality of elements. It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the scope of the application. Thus, the present application is intended to include such modifications and alterations insofar as they come within the scope of the application or the equivalents thereof.
Claims (6)
1. An intelligent monitoring method for operation stability of a power grid, which is characterized by comprising the following steps:
acquiring a first target power grid, identifying the joint operation relation of equipment of the first target power grid, and outputting N joint power grids, wherein the equipment in each joint power grid is in complete joint operation;
outputting N electric power monitoring data sets by carrying out electric power data monitoring on the N combined power grids;
performing stability identification according to the N electric power monitoring data sets, and outputting N stability indexes;
respectively optimizing the N combined power grids according to the N stability indexes to obtain N optimized stability indexes, introducing a stability adjustment optimizing model to optimize the N optimized stability indexes, and determining a first stability index;
building a stable adjustment optimizing model, wherein the stable adjustment optimizing model comprises a first adjustment loss function;
analyzing the N combined power grids according to the first regulation loss function, outputting N groups of loss mapping data sets, optimizing according to the N groups of loss mapping data sets, and outputting the first stability index corresponding to the minimum loss, wherein the mapping relation of each group of loss mapping data sets is the mapping relation between the randomly selected combined power grid and the rest of combined power grids, and each group of loss mapping data sets comprises regulation loss data caused by regulating the rest of combined power grids;
Identifying a first combined power grid corresponding to the first stability index, wherein the first stability index belongs to N regulated stability indexes;
performing stability adjustment on the rest of the combined power grids except the first combined power grid according to the first stability index;
obtaining a residual stability index corresponding to the residual combined power grid, and comparing the first stability index with the residual stability index to obtain a plurality of index adjustment vectors;
selecting an adjusting mode according to the sizes of the index adjusting vectors;
and adjusting the residual combined power grid one by one according to the index adjustment vectors and the selected adjustment modes.
2. The method of claim 1, wherein the method further comprises:
performing feature analysis on the N combined power grids to obtain the number features of power grid equipment and the functional features of the power grid equipment of each combined power grid;
the method comprises the steps of evaluating the number characteristics of the power grid equipment and the functional characteristics of the power grid equipment of each combined power grid, and outputting N evaluation indexes corresponding to the N combined power grids, wherein the N evaluation indexes comprise N important indexes, and each combined power grid corresponds to one important index;
And identifying the N combined power grids according to the N important indexes.
3. The method of claim 1, wherein the method further comprises:
optimizing the adjusting loss function according to the N important indexes, and outputting a second adjusting loss function;
and outputting a first stability index corresponding to the minimum loss according to the second regulation loss function.
4. The method of claim 1, wherein prior to separately tuning the N grid ties according to the N stability metrics, the method further comprises:
obtaining M stability indexes which are smaller than or equal to a preset stability index in the N stability indexes by judging the N stability indexes, wherein M is a positive integer smaller than or equal to N;
and determining M combined power grids according to the M stability indexes, and respectively tuning by taking the M combined power grids as tuning objects.
5. The method of claim 1, wherein selecting the adjustment means further comprises:
the static regulation evaluation, the transient regulation evaluation and the dynamic regulation evaluation are carried out on each power grid in the residual combined power grids, so that a static evaluation result, a transient evaluation result and a dynamic evaluation result for identifying the recovery capacity of the power grid are obtained;
And selecting an adjusting mode according to the static evaluation result, the transient evaluation result and the dynamic evaluation result.
6. An intelligent monitoring system for the operational stability of a power grid, the system comprising:
the combined operation identification module is used for acquiring a first target power grid, identifying the combined operation relation of equipment of the first target power grid and outputting N combined power grids, wherein the equipment in each combined power grid performs combined operation in a complete set;
the power data monitoring module is used for outputting N electric power monitoring data sets by carrying out electric power data monitoring on the N combined power grids;
the stability identification module is used for carrying out stability identification according to the N electric power monitoring data sets and outputting N stability indexes;
the stability index optimizing module is used for respectively optimizing the N combined power grids according to the N stability indexes to obtain N optimized stability indexes, introducing a stability adjustment optimizing model to optimize the N optimized stability indexes, and determining a first stability index;
The optimizing model building module is used for building a stable adjusting optimizing model, wherein the stable adjusting optimizing model comprises a first adjusting loss function;
the first stability index module is used for analyzing the N combined power grids according to the first adjustment loss function, outputting N groups of loss mapping data sets, optimizing according to the N groups of loss mapping data sets, and outputting the first stability index corresponding to the minimum loss, wherein the mapping relation of each group of loss mapping data sets is the mapping relation between the randomly selected combined power grid and the rest of combined power grids, and each group of loss mapping data sets comprises adjustment loss data caused by adjusting the rest of combined power grids;
the identification combined power grid module is used for identifying a first combined power grid corresponding to the first stability index, wherein the first stability index belongs to N stability indexes after tuning;
the remaining power grid adjusting module is used for adjusting the stability of the remaining combined power grids except the first combined power grid according to the first stability index;
The index adjustment vector module is used for acquiring a residual stability index corresponding to the residual combined power grid, comparing the first stability index with the residual stability index and obtaining a plurality of index adjustment vectors;
the adjusting mode selecting module is used for selecting an adjusting mode according to the sizes of the index adjusting vectors;
and the combined power grid adjusting module is used for adjusting the residual combined power grid one by one according to the plurality of index adjusting vectors and the selected adjusting modes.
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