CN-122026421-A - Active power distribution network resource optimization method and system based on operation state sensing

CN122026421ACN 122026421 ACN122026421 ACN 122026421ACN-122026421-A

Abstract

The invention discloses an active power distribution network resource optimization method and system based on operation state sensing, and relates to the technical field of resource optimization, wherein the method comprises the steps of determining a node set in an operation monitoring state, and obtaining voltage deviation characteristics of each node in a continuous time window and current fluctuation characteristics of a connected circuit; the method comprises the steps of generating core regulation and control equipment and adjustable operation intervals and constraint conditions thereof based on node-line state characteristics to form a backup regulation and control strategy, obtaining node state change and equipment resource occupation conditions triggered by the backup regulation and control strategy to form an equipment resource load change curve, extracting resource occupation fluctuation indexes and accumulated resource consumption to generate a resource consumption data set, optimizing a self-healing operation sequence based on the resource consumption data set to generate an equipment resource optimization scheme, and sequentially executing self-healing operation to realize dynamic resource optimization configuration of an active power distribution network, and improving equipment utilization efficiency and system self-healing capacity.

Inventors

MA JIE
MIAO FUFENG
GUO XINZHI
LI KE
SUN YIHAO
QUAN SHAOLI
YANG ZHUO
GUO YONG
FAN JIANGCHUAN
BAI YALEI
CHEN JIANGTAO
YUAN SHANSHAN
WANG KAIJING
DU XICHAO
ZHANG YOUWEN
Cai Shurao
LI LIJIE
SUN SIPEI
GUO JIANYU
DONG ZHI

Assignees

重庆星能电气有限公司
国网河南省电力公司经济技术研究院
国网河南省电力公司商丘供电公司
国网河南省电力公司漯河供电公司

Dates

Publication Date: 20260512
Application Date: 20260413

Claims (10)

1. An active power distribution network resource optimization method based on operation state sensing is characterized by comprising the following steps: Determining a node set in an operation monitoring state in an active power distribution network, and acquiring voltage deviation characteristics of each node in a continuous time window and current fluctuation characteristics of a line connected with the node, wherein the node is an operation node in which a monitoring device is arranged in the power distribution network; Based on the voltage deviation characteristic and the current fluctuation characteristic, generating a node-line association state matrix, and recording the state characteristic corresponding relation between each node and the connected line in a continuous time window; based on the corresponding relation of the state characteristics, determining core regulation equipment, acquiring adjustable operation intervals and constraint conditions of each core regulation equipment, and generating an alternative regulation strategy corresponding to the resources of the core regulation equipment; For each standby selected regulation strategy, acquiring node state change, self-healing voltage deviation characteristic, self-healing current fluctuation characteristic and equipment resource occupation condition after triggering, and sorting in time sequence to form an equipment resource load change curve; extracting a resource occupation sequence and corresponding maximum and average values of the resource occupation of each core regulation and control device in the execution process of the self-healing operation sequence in a device resource load change curve, carrying out threshold interval constraint correction on the resource occupation sequence to obtain a constraint corrected resource occupation sequence, obtaining a resource occupation change rate according to the constraint corrected resource occupation sequence, combining the constraint corrected resource occupation sequence with the maximum and average values of the resource occupation to obtain a resource occupation fluctuation index, accumulating to obtain accumulated resource consumption, and further generating a resource consumption data set corresponding to the self-healing operation; Based on resource occupation fluctuation indexes and accumulated resource consumption in the resource consumption data set, sorting each backup selected from the recovery control strategies, screening sorting results by combining constraint conditions of core control equipment, obtaining an optimized self-recovery operation sequence, generating a corresponding equipment resource optimization scheme, sequentially executing self-recovery operation according to the equipment resource optimization scheme, and carrying out equipment resource optimization on the active power distribution network.
2. The active power distribution network resource optimization method based on operation state sensing according to claim 1, wherein the node-line association state matrix is generated based on voltage offset characteristics and current fluctuation characteristics, and the state characteristic correspondence relationship between each node and the connected line in a continuous time window is recorded, and specifically comprises the following steps: Acquiring network structure data of a power distribution network, wherein the network structure data comprises node identification information, line identification information and associated configuration data between nodes and lines; correspondingly matching the associated configuration data with the node identification information and the line identification information to obtain a matching result; According to the matching result, determining the node connected with each line, and counting all the lines connected with each node to form a corresponding set from node to line; Traversing all nodes and lines according to the corresponding set of the nodes to the lines to obtain the connection relation between each node and the line; based on the connection relation between the nodes and the lines, a node-line topology model is constructed, wherein the node-line topology model takes a power distribution network node as a model node, and lines connecting the nodes in the power distribution network as model lines; mapping the voltage deviation characteristic of each node to a corresponding node in the topology model, and mapping the current fluctuation characteristic of each line to a corresponding line in the topology model to obtain preliminary mapping data; Carrying out standardization processing on the preliminary mapping data to obtain standardized mapping data; According to the standardized mapping data, each node is paired with the state characteristics of the line directly connected with the node in a continuous time window to obtain a pairing result; Recording pairing results one by one to form a node-line association state matrix, wherein a row of the matrix corresponds to each node in a node set, a column corresponds to a line set directly connected with each node, and each element of the matrix comprises a voltage offset characteristic of the node in a continuous time window and a current fluctuation characteristic of a line directly connected with the node in the continuous time window; based on row-column elements of the matrix, the voltage offset characteristic of each node and the current fluctuation characteristic of the connected line are correspondingly combined to generate a node-line state characteristic corresponding relation.
3. The method for optimizing active power distribution network resources based on operation state awareness according to claim 1, wherein the method for optimizing active power distribution network resources based on state feature correspondence is characterized by determining core regulation devices, acquiring adjustable operation intervals and constraint conditions of the core regulation devices, and generating backup-selection-healing regulation strategies corresponding to the resources of the core regulation devices, and specifically comprises the following steps: Acquiring all nodes in an operation monitoring state and connecting lines thereof; Based on the corresponding relation of node-line state characteristics, judging the voltage deviation characteristics of each node in a continuous time window and the current fluctuation characteristics of a line connected with the voltage deviation characteristics, and screening out nodes and lines of which the node voltage deviation characteristics and the current fluctuation characteristics of the line connected with the node voltage deviation characteristics meet preset abnormal judgment conditions at the same time to obtain a candidate node-line set for self-healing analysis; Determining adjustable equipment associated with the nodes and the lines according to the candidate node-line set to form core adjustable equipment; Acquiring rated operation parameters, historical operation boundaries and current operation states of each core regulation and control device; according to rated operation parameters, historical operation boundaries and current operation states of each core regulation device, determining an adjustable operation range of each core regulation device in self-healing operation, and forming an adjustable operation interval; Based on the adjustable operation interval, setting constraint conditions for limiting the operation of the equipment, including safety constraint, topology constraint, operation constraint and time constraint, and forming corresponding constraint conditions; Under the restriction of an adjustable operation interval and constraint conditions, generating allowed controllable actions for each core regulation and control device in turn, and carrying out constraint condition feasibility verification on each action to obtain self-healing operation conforming to the constraint conditions; Combining the self-healing operation of each core regulation device to generate a self-healing operation set for self-healing analysis; and combining the self-healing operation executable by the core regulation and control equipment in different states to generate a preparation selected from a healing regulation and control strategy.
4. The method for optimizing resources of an active power distribution network based on operation state awareness according to claim 1, wherein each backup is selected from a healing strategy, and the method comprises the steps of acquiring node state change, self-healing voltage deviation characteristic, self-healing current fluctuation characteristic and equipment resource occupation condition after triggering the backup, and sorting the node state change, the self-healing voltage deviation characteristic, the self-healing current fluctuation characteristic and the equipment resource occupation condition according to time sequence to form an equipment resource load change curve, wherein the method specifically comprises the following steps: based on each backup selected from the healing control strategy, sequentially acquiring the state change of each node after the triggering of each backup selected from the healing control strategy, and recording the state change as first node state data, wherein the node state change comprises the voltage value, the switching state and the operation parameter change of the node before and after the operation; According to the first node state data, obtaining self-healing voltage deviation characteristics of each node in a continuous time window, and associating the characteristics with the corresponding first node state data to obtain second node state data containing node state change and self-healing voltage deviation characteristics; determining a corresponding connected line of each node through a node-line association state matrix before self-healing operation; After executing the alternative healing control strategy, acquiring self-healing current fluctuation characteristics of each line in a continuous time window, and associating the self-healing current fluctuation characteristics with the second node state data to form third node state data; based on the third node state data, recording the resource occupation condition of core regulation equipment related to a selected regulation strategy in the execution process; the third node state data and the core regulation equipment resource occupation situation are arranged in time sequence to form preliminary equipment resource load change data; Carrying out unified formatting treatment on the preliminary load change data to obtain standardized equipment resource load change data; Based on the standardized equipment resource load change data, sequentially extracting the resource occupation condition of each core regulation equipment in a continuous time window according to a backup selection regulation strategy, and sorting the resource occupation change of each core regulation equipment according to time sequence to form an equipment resource load change curve.
5. The method for optimizing the resources of the active power distribution network based on the operation state sensing according to claim 1, wherein in the equipment resource load change curve, the resource occupation sequence of each core regulation equipment in the execution process of the self-healing operation sequence and the corresponding maximum value and average value of the resource occupation are extracted, the threshold interval constraint correction is carried out on the resource occupation sequence to obtain the constraint corrected resource occupation sequence, then the resource occupation change rate is obtained according to the constraint corrected resource occupation sequence, the resource occupation fluctuation index is obtained by combining the constraint corrected resource occupation sequence with the maximum value and the average value of the resource occupation to accumulate to obtain the accumulated resource consumption, and further the resource consumption data set corresponding to the self-healing operation is generated, and the method specifically comprises the following steps: Based on the equipment resource load change curve, identifying core regulation equipment which actually participates in regulation in the execution process of the selected regulation strategy, and obtaining an execution equipment list; Extracting the resource occupation data of each core regulation device in the execution process of the self-healing operation sequence according to the execution device list to obtain the resource occupation sequence of each device; obtaining the maximum value and the average value of the resource occupation of each core regulation device based on the resource occupation sequence, and taking the maximum value and the average value as a resource occupation statistical index; Constructing a resource occupation threshold interval according to the maximum value and the average value of the resource occupation in the occupation statistics index, comparing the resource occupation value of each moment in the resource occupation sequence with the resource occupation threshold interval, and judging the resource occupation state of each moment; when the resource occupation value is in the resource occupation threshold value interval, the original resource occupation value is reserved, when the resource occupation value exceeds the resource occupation threshold value interval, the resource occupation value exceeding the upper limit threshold value is adjusted to the upper limit value of the threshold value interval, and the resource occupation value lower than the lower limit threshold value is adjusted to the lower limit value of the threshold value interval, so that the limiting treatment of the resource occupation value is realized, and a constrained and corrected resource occupation sequence is obtained; dividing local time windows of the constrained and corrected resource occupation sequence, and extracting resource occupation fluctuation characteristics in each time window to represent the resource occupation change intensity; Based on the constrained and corrected resource occupation sequence and the resource occupation fluctuation characteristic, obtaining the resource occupation change rate of each core regulation and control device in the execution process of the self-healing operation sequence; Sorting the maximum value, the average value and the change rate of the resource occupation to form a resource occupation fluctuation index of each core regulation device; Accumulating the resource occupation amount of each core regulation device in the execution process of the self-healing operation sequence according to the device resource load change curve corresponding to each backup selected from the healing regulation strategy to obtain the accumulated resource consumption of each core regulation device; and correlating the resource occupation fluctuation index with the accumulated resource consumption to generate a resource consumption data set corresponding to the candidate self-healing operation.
6. The method for optimizing the resources of the active power distribution network based on the operation state awareness according to claim 1, wherein the method is characterized in that the method is based on resource occupation fluctuation indexes and accumulated resource consumption in a resource consumption data set, sorts the various alternatives according to a healing strategy, screens the sorting result by combining constraint conditions of core regulation equipment to obtain an optimized self-healing operation sequence, generates a corresponding equipment resource optimization scheme, sequentially executes self-healing operation according to the equipment resource optimization scheme, and optimizes the equipment resources of the active power distribution network, and specifically comprises the following steps: Analyzing the resource consumption condition of each backup selected from the healing strategy based on the resource consumption data set; according to the resource consumption condition, priority ordering is carried out on the backup selection regulation strategy to obtain an operation sequence list, and a corresponding operation sequence is generated; Carrying out feasibility verification on the sequenced operation sequences by combining rated operation parameters, adjustable operation intervals and corresponding constraint conditions of each core regulation device, and eliminating operation combinations which do not meet the constraint conditions of the devices to obtain feasible operation sequences; performing adjustment and optimization according to the feasible operation sequences to generate an optimized self-healing operation sequence; generating a corresponding equipment resource optimization scheme according to the optimized self-healing operation sequence, and determining the execution sequence and parameter setting of each core regulation equipment in each operation; Inputting the equipment resource optimization scheme into a control system, sequentially executing self-healing operation on each core regulation equipment in the active power distribution network, and implementing equipment resource regulation; In the execution process of the self-healing operation, the state change of each node and the resource occupation condition of the core regulation equipment are monitored in real time, and the abnormal operation or overrun condition of the equipment is dynamically regulated; after all self-healing operations are completed, the final node state and the use condition of each equipment resource are recorded, and an equipment resource optimization execution result is formed.
7. An active power distribution network resource optimization system based on operational state awareness, for implementing a resource optimization method according to any one of claims 1-6, comprising: The running state sensing module is used for acquiring voltage deviation characteristics of each node in the active power distribution network, current fluctuation characteristics of each line and resource occupation data of the core regulation and control equipment and generating a node-line state characteristic data set; The topological state modeling module is used for constructing a node-line association state matrix based on the node-line state characteristic data set to form a corresponding relation between the nodes and the connected line state characteristics; The core equipment identification module is used for screening core regulation equipment according to the node-line state characteristic corresponding relation, obtaining rated operation parameters, historical operation boundaries and current operation states of the core regulation equipment, determining adjustable operation intervals and constraint conditions of the core regulation equipment, and generating a backup selected regulation strategy; the resource load analysis module is used for acquiring the core regulation equipment resource occupation change and the node state change after the execution of the backup regulation strategy, forming an equipment resource load change curve and carrying out standardized processing on the equipment resource load change curve; The resource consumption evaluation module is used for extracting the maximum value, the average value and the change rate of the resource occupation of the core regulation and control equipment based on the standardized equipment resource load change curve, accumulating and calculating the accumulated resource consumption, and generating a resource consumption data set corresponding to the candidate self-healing operation; The optimizing decision executing module is used for adjusting and optimizing the backup selected regulating and controlling strategy based on the resource consumption data set, generating an optimized self-healing operation sequence, sequentially executing the operation, realizing the dynamic optimizing configuration of the equipment resources, and simultaneously recording the final node state and the equipment resource use condition.
8. An active power distribution network resource optimization system based on operational state awareness in accordance with claim 7, wherein said topology state modeling module comprises: the node state acquisition unit is used for acquiring voltage deviation characteristics and running state data of each node in a continuous time window; the circuit state acquisition unit is used for acquiring current fluctuation characteristics of each circuit in a continuous time window; The state association generating unit is used for correspondingly pairing the node state characteristics with the directly connected line state characteristics to form a node-line state characteristic corresponding relation; And the incidence matrix generation unit is used for constructing a node-line incidence state matrix according to the node-line state characteristic corresponding relation.
9. An active power distribution network resource optimization system based on operational state awareness in accordance with claim 7 wherein said core device identification module comprises: The candidate node-line screening unit is used for screening nodes and lines meeting preset abnormal judgment conditions based on the corresponding relation of the node-line state characteristics to form a candidate node-line set; The core regulation and control equipment determining unit is used for identifying adjustable and controllable equipment associated with the nodes and the lines according to the candidate node-line set to form core regulation and control equipment; The adjustable operation interval determining unit is used for acquiring rated operation parameters, historical operation boundaries and current operation states of each core regulation and control device and determining an adjustable operation interval and constraint conditions; And the candidate operation generation unit is used for combining the self-healing operation executable by the core regulation and control equipment in different running states to generate a preparation selected from the healing regulation and control strategy.
10. An active power distribution network resource optimization system based on operational state awareness as recited in claim 7, wherein said resource consumption assessment module comprises: The resource index extraction unit is used for extracting the maximum value, the average value and the change rate of the resource occupation of each core regulation device based on the resource occupation condition of each core regulation device in the execution process of the backup regulation strategy; the resource consumption calculation unit is used for cumulatively calculating the cumulative resource consumption of each core regulation and control device in the execution process of the backup selected regulation and control strategy; And the resource consumption data set generation unit is used for associating the resource occupation index of each core regulation and control device with the accumulated resource consumption to form a resource consumption data set corresponding to the candidate self-healing operation.

Description

Active power distribution network resource optimization method and system based on operation state sensing Technical Field The invention relates to the technical field of resource optimization, in particular to an active power distribution network resource optimization method and system based on operation state sensing. Background Along with the large-scale access of distributed energy sources, energy storage devices and intelligent switching devices in a power distribution network, the traditional power distribution network gradually develops to an active power distribution network. In the operation process of the active power distribution network, the node voltage level, the line current load and the operation states of various regulation and control equipment can continuously change along with load change and distributed power supply output fluctuation, so that the system operation presents obvious dynamic property and complexity. In order to ensure safe and stable operation of the power distribution network, network adjustment and operation recovery are usually required to be quickly performed when an abnormality or a fault occurs by means of a self-healing mechanism, and meanwhile, the adjustment capacity of key equipment is reasonably utilized. By means of real-time sensing and analysis of the node voltage deviation characteristic, the line current fluctuation characteristic and the key equipment operation state, references can be provided for self-healing operation, basis is provided for optimal configuration of equipment resources, and therefore system operation reliability and resource utilization efficiency are improved. However, in the resource optimization process, when the existing power distribution network operation regulation and control method responds by depending on the self-healing capacity, the problems that resources of various core regulation and control devices are occupied, dynamic consumption and operation constraint are not fully considered still exist. In the running process of the power distribution network, the running states of different nodes and lines are different, the adjustable range and the running constraint conditions of various core regulating and controlling devices are different, and if the comprehensive perception and the resource consumption analysis on the running states are lack in the self-healing operation, the problems of unbalanced equipment resource utilization, large resource occupation fluctuation, overhigh resource consumption, reduced optimizing efficiency or infeasibility of a regulating and controlling scheme can be caused, so that the executing effect of the self-healing operation and the overall running stability of the power distribution network are influenced. Therefore, an active power distribution network resource optimization method and system based on operation state sensing need to be provided to solve the problems. Disclosure of Invention In order to solve the technical problems, the technical scheme solves the problems that in the operation process of the power distribution network, the operation states of different nodes and lines are different, the adjustable range and the operation constraint conditions of various core regulation and control devices are different, if the comprehensive perception and the resource consumption analysis on the operation states are not available in the self-healing operation, the device resource utilization is unbalanced, the resource occupation fluctuation is large, the resource consumption is too high, the optimization efficiency is reduced or the regulation and control scheme is not feasible, so that the execution effect of the self-healing operation and the overall operation stability of the power distribution network are affected. In order to achieve the above purpose, the invention adopts the following technical scheme: an active power distribution network resource optimization method based on operation state sensing comprises the following steps: Determining a node set in an operation monitoring state in an active power distribution network, and acquiring voltage deviation characteristics of each node in a continuous time window and current fluctuation characteristics of a line connected with the node, wherein the node is an operation node in which a monitoring device is arranged in the power distribution network; Based on the voltage deviation characteristic and the current fluctuation characteristic, generating a node-line association state matrix, and recording the state characteristic corresponding relation between each node and the connected line in a continuous time window; based on the corresponding relation of the state characteristics, determining core regulation equipment, acquiring adjustable operation intervals and constraint conditions of each core regulation equipment, and generating an alternative regulation strategy corresponding to the resources of the core regulation equipment; For ea