CN-122026616-A - Distribution network fault handling full-flow monitoring disc and abnormality early warning method

CN122026616ACN 122026616 ACN122026616 ACN 122026616ACN-122026616-A

Abstract

The application relates to the technical field of power system automation and discloses a distribution network fault handling full-flow monitoring disc and abnormality early warning method, which comprises the steps of firstly executing multi-source data consistency check on switch nodes in a fault handling area and generating a handling strategy sequence based on trusted data; the method comprises the steps of analyzing a strategy path to construct a minimum dependent subgraph, establishing a monitoring range, establishing a virtual resource account book based on directed line segments, checking current constraint by superposing virtual loads, and calculating a sensitivity coefficient by utilizing natural load fluctuation to check voltage risks. And executing event-driven monitoring disk aiming at the minimum dependency subgraph in the policy execution waiting period, and freezing the section before operation to carry out atomization verification. According to the application, through a state locking and resource preemption mechanism of the whole flow, the multi-strategy concurrency conflict and the power grid state mutation risk are effectively avoided, and the safety and reliability of distribution network fault treatment are improved.

Inventors

LIN WENSHUO
LIU QI
ZHOU RONGSHENG
TIAN HUILI
PENG YIMING
ZHANG WEIXIANG
AI JIAWEI
ZHU YIYING

Assignees

广东电网有限责任公司广州供电局

Dates

Publication Date: 20260512
Application Date: 20260326

Claims (10)

1. The distribution network fault handling full-flow monitoring disc and abnormality early warning method is characterized by comprising the following steps of: Accessing operation data of a power distribution network, performing multi-source data consistency verification on switch nodes in a fault treatment area, and generating a treatment strategy sequence comprising a series of operation steps based on verified trusted data and real-time operation sections; Analyzing a complete power supply path of the treatment strategy sequence, constructing a minimum dependency sub-graph corresponding to the treatment strategy sequence, and establishing the minimum dependency sub-graph as a monitoring disc monitoring range; Establishing a virtual resource account book based on directed line segments, recording current change vectors generated by a treatment strategy sequence on corresponding line segments in the virtual resource account book, and superposing the current change vectors to real-time measurement values to verify current constraint; monitoring natural load fluctuation events on line segments to calculate sensitivity coefficients, and estimating voltage deviation values after the treatment strategy sequence is executed by using the sensitivity coefficients to perform voltage risk verification; Executing an event-driven monitoring disc aiming at the minimum dependency subgraph in a strategy waiting window period, freezing a real-time data section at the current moment when a request signal before physical operation is received, executing atomization verification by combining the virtual resource account book and the sensitivity coefficient, and issuing an operation permission instruction after verification is passed.
2. The distribution network fault handling full-flow monitoring and anomaly early warning method of claim 1, wherein the step of performing multi-source data consistency check on switching nodes within the fault handling area comprises: acquiring a switch position remote signaling signal of the switch node, a real-time current value flowing through the switch node and a voltage difference value at two sides of the switch node; when the switch position remote signaling signal indicates a switch-off state, but the real-time current value is larger than a preset noise threshold value, or the voltage difference value is smaller than a preset judgment threshold value under the condition of single-side electrification, judging that the data logic of the switch node has conflict; And marking the switch node with the conflict of the data logic as an unreliable node, and prohibiting the generation of a path flowing through the unreliable node in the process of searching the graph for generating the treatment strategy sequence.
3. The distribution network fault handling whole-flow monitoring and anomaly early warning method according to claim 1, wherein the step of constructing the minimum dependency subgraph corresponding to the handling policy sequence comprises: Identifying a main path by using a graph traversal algorithm according to the power supply point to the load tail end specified by the treatment strategy sequence, and extracting a path node set and a path edge set covered by the main path; Identifying a boundary switch directly connected with the backbone path but in a switching-off state based on an adjacency constraint of a physical topology, and incorporating the boundary switch into a set of dependent nodes; And the path node set, the path edge set and the dependent node set jointly form a minimum dependent sub-graph, and the device identifier contained in the minimum dependent sub-graph is registered as a unique effective monitoring range.
4. The distribution network fault handling full-flow monitoring and anomaly early warning method according to claim 1, wherein the step of establishing a directed line segment-based virtual resource ledger comprises: Discretizing a physical line of the power distribution network into a line segment sequence with a reference positive direction attribute; Identifying all current treatment strategy sequences to be executed, and determining the consistency of the trend direction and the reference positive direction caused by each treatment strategy sequence to be executed; And when the trend direction is consistent with the reference positive direction, a positive direction factor is given, and when the trend direction is opposite to the reference positive direction, a negative direction factor is given, and the virtual load occupation amount on each line segment is calculated through algebraic sum operation.
5. The distribution network fault handling full-flow monitoring and anomaly early warning method of claim 4, wherein the step of superimposing the current change vector to a real-time measurement value to verify a current constraint comprises: calculating the sum of the real-time measured current vector of the line segment and the occupation amount of the virtual load, and obtaining the superposed current amplitude; Comparing the superimposed current amplitude with the safety boundary of the line segment; The safety boundary takes the smaller value of the rated current-carrying capacity and the protection setting value of the segment wire and multiplies the smaller value by a preset safety margin coefficient; and if the superposed current amplitude exceeds the safety boundary, judging that the resource conflict exists.
6. The distribution network fault handling full-flow monitoring and anomaly early warning method according to claim 1, wherein the step of monitoring natural load fluctuation events on line segments to calculate sensitivity coefficients comprises: Setting a load fluctuation effectiveness threshold, and triggering sensitivity coefficient update when the active power variation quantity of adjacent sampling moments exceeds the load fluctuation effectiveness threshold; calculating the ratio of the voltage variation quantity and the active power variation quantity of the current time and the last sampling time; and updating the current voltage power sensitivity coefficient by adopting a weighted recursive algorithm with forgetting factors and combining the coefficient preservation value at the last moment with the ratio so as to reflect the time-varying characteristic of the line impedance.
7. The distribution network fault handling full-flow monitoring and anomaly early warning method according to claim 6, wherein the step of estimating the voltage deviation value after the handling policy sequence execution by using the sensitivity coefficient comprises: Acquiring the expected power variation of the treatment strategy sequence; Calculating the sum of the current real-time voltage measurement value, the product of the power variation and the updated voltage power sensitivity coefficient based on a Taylor series first-order cut-off method; And obtaining a predicted voltage value after overlapping the nonlinear error compensation term, and if the predicted voltage value exceeds a specified voltage safe operation interval, judging that the voltage risk verification is not passed.
8. The distribution network fault handling full-flow monitoring and exception pre-warning method according to claim 1, wherein the step of executing the event driven monitoring for the minimum dependency graph during a policy waiting window period comprises: Receiving an original event stream in the whole network range, and extracting a source equipment identifier of each event; Matching the source device identifier with a device index list of the minimum dependency subgraph, and triggering policy invalidation decision logic only when the source device identifier exists in the minimum dependency subgraph; And acquiring a real-time equipment state value after the event occurs, comparing the real-time equipment state value with a basic state value recorded at the moment of generating the treatment strategy sequence, and marking the state of the treatment strategy sequence as invalid and blocking execution if the real-time equipment state value and the basic state value are inconsistent.
9. The distribution network fault handling full-flow monitoring and anomaly early warning method of claim 1, further comprising a virtual resource lease maintenance step based on geographic location awareness: establishing communication connection with a mobile operation terminal executing the treatment strategy sequence, and acquiring geographic coordinates of the mobile operation terminal in real time; Calculating the distance between the mobile operation terminal and the target operation equipment; And if the lease time is exceeded and the distance is greater than the geofence radius, releasing the virtual capacity occupied by the treatment strategy sequence in the virtual resource account.
10. The distribution network fault handling full-flow monitoring and anomaly early warning method according to claim 1, wherein the step of freezing the real-time data section at the current moment to perform the atomization verification comprises the steps of: freezing the whole network data section at the moment of receiving the physical operation instruction; Checking whether a validity flag of the treatment policy sequence is valid, checking whether a total current after an expected current recorded in the virtual resource ledger is superimposed satisfies a safety boundary, and checking whether an estimated voltage after the treatment policy sequence is executed, which is calculated based on the sensitivity coefficient, is in a safety operation section; Generating an execution permission only when the three checks pass simultaneously; The method further comprises the step of clearing the occupied virtual load of the treatment strategy sequence in the virtual resource account book after confirming that the physical operation is completed, so that the virtual occupied state is handed over to the physical actual measurement state.

Description

Distribution network fault handling full-flow monitoring disc and abnormality early warning method Technical Field The invention relates to the technical field of power system automation, in particular to a distribution network fault handling full-flow monitoring disc and abnormality early warning method. Background With the advancement of automatic construction of power distribution networks, a fault self-healing and auxiliary decision-making system has become an important supporting tool for dispatching operation. In practical applications, the fault handling process generally includes links such as fault location, policy calculation, simulation replay, instruction issuing, and the like. However, in the existing fault handling method, the calculation is mostly based on snapshot-type static section data, the switch position acquired by default is completely matched with the electrical quantity, and the depth logic verification of data abnormal conditions such as remote signaling adhesion or remote sensing drift of field equipment is lacking, so that policy generation errors are easily caused by basic data deviation. Furthermore, there is a non-negligible window of time from policy generation to actual action of the field device. During this time, the topology or load level of the power grid may change due to manual operation, protective actions or natural fluctuations. Conventional systems often lack a continuous monitoring mechanism for this transient process, typically only checking once at the time of policy generation, and cannot sense subtle sudden changes in grid conditions before execution. Meanwhile, when the concurrent processing of multiple faults or the cooperative operation of multiple groups is faced, due to the lack of a unified line capacity resource management mechanism, each independent treatment strategy is easy to generate hidden resource preemption conflict when being executed in parallel, and then secondary risks such as line overload or voltage out-of-limit are caused. Therefore, the invention provides a distribution network fault handling whole-flow monitoring disc and an abnormality early warning method, which solve the defects in the prior art. Disclosure of Invention Aiming at the defects of the prior art, the invention provides a distribution network fault handling full-flow monitoring and abnormality early warning method, which solves the problem of safety risk caused by basic data logic conflict, strategy execution window period state mutation and multi-task concurrent resource preemption in the existing distribution network fault handling method. The invention aims to realize the technical scheme that the distribution network fault handling whole-flow monitoring disc and abnormality early warning method comprises the following steps: Accessing operation data of a power distribution network, performing multi-source data consistency verification on switch nodes in a fault treatment area, and generating a treatment strategy sequence comprising a series of operation steps based on verified trusted data and real-time operation sections; Analyzing a complete power supply path of the treatment strategy sequence, constructing a minimum dependency sub-graph corresponding to the treatment strategy sequence, and establishing the minimum dependency sub-graph as a monitoring disc monitoring range; Establishing a virtual resource account book based on directed line segments, recording current change vectors generated by a treatment strategy sequence on corresponding line segments in the virtual resource account book, and superposing the current change vectors to real-time measurement values to verify current constraint; monitoring natural load fluctuation events on line segments to calculate sensitivity coefficients, and estimating voltage deviation values after the treatment strategy sequence is executed by using the sensitivity coefficients to perform voltage risk verification; Executing an event-driven monitoring disc aiming at the minimum dependency subgraph in a strategy waiting window period, freezing a real-time data section at the current moment when a request signal before physical operation is received, executing atomization verification by combining the virtual resource account book and the sensitivity coefficient, and issuing an operation permission instruction after verification is passed. The invention provides a distribution network fault handling whole-flow monitoring disc and an abnormality early warning method. The beneficial effects are as follows: 1. According to the invention, through executing multi-source data consistency check on the switch nodes in the fault handling area, the remote signaling of the switch positions and the real-time current and voltage difference values are comprehensively compared, and false signals generated by device faults or communication interference can be effectively identified and removed. The mechanism ensures that the subsequently gener