CN-121997111-A - Operation situation sensing method considering weak links of power distribution network

CN121997111ACN 121997111 ACN121997111 ACN 121997111ACN-121997111-A

Abstract

The invention relates to an operation situation sensing method considering weak links of a power distribution network, which is characterized in that the weak links of the power distribution network are identified and sequenced by constructing a multi-dimensional identification index system, operation data of the weak links can be collected by a power distribution automation system, an advanced measurement system and sensing equipment of the Internet of things, so that a high-quality data set is formed, a powerful data base is provided for subsequent evaluation, the safety condition of the weak links can be comprehensively reflected by comprehensively evaluating the operation situation of the weak links from a plurality of latitudes with static safety, transient stability and risk level, so that the evaluation accuracy is improved, the fault risk is effectively pre-judged in advance, reliable guarantee is provided for safe and stable operation of the power distribution network, visual and cleaned situation information is provided for operators by virtue of visualization and early warning functions, and the operation mode adjustment and risk prevention and control decision are assisted, so that the safe and stable operation level of the power distribution network is improved.

Inventors

GU GUOZHI
KONG XIANGCHEN
Kuang cong
QIN ZIQING
CUI YUYING
XU SHUNING
BI LIANG
SHEN CHAOQUN
JIANG ZIYU
SUN YILONG
WANG WEIMIN
XU MING
YANG ZHONGLI
SU TAO

Assignees

国网河南省电力公司商丘供电公司

Dates

Publication Date: 20260508
Application Date: 20251202

Claims (6)

1. The operation situation sensing method considering the weak links of the power distribution network is characterized by comprising the following steps of: step 1, constructing a multi-dimensional identification index system based on a power distribution network topological structure, equipment parameters, historical operation data and environmental factors, identifying weak links of the power distribution network by adopting a mode of combining an analytic hierarchy process and a fuzzy comprehensive evaluation method, sorting the weak links from heavy to slow after the identification is completed, so as to form a list, and updating the list of the weak links in real time by adopting a mode of combining a time sequence weighting method and gray correlation analysis; Step 2, acquiring operation data of the weak links identified in the step 1 in real time through a power distribution automation system, an advanced measurement system and sensing equipment of the Internet of things, wherein the operation data comprises electric quantity data, equipment state data and environment data, cleaning and filtering the acquired data by adopting a self-adaptive anomaly detection algorithm and combining with improved Kalman filtering, and finally, normalizing and fusing the acquired data to form a high-quality data set; step 3, constructing an operation situation assessment model aiming at the identified weak links, inputting the high-quality data set in the step 2 into the operation situation assessment model, assessing the operation state and the development trend aiming at the weak links in real time, and generating an assessment result; Step 4, based on the evaluation result in the step 3, carrying out short-term prediction on key operation indexes of the weak links by utilizing time sequence analysis, machine learning or deep learning algorithm so as to form a prediction trend graph; And 5, setting an early warning threshold value, and then visually displaying the real-time running state, the evaluation result and the predicted trend graph of the weak link through a man-machine interaction interface, and when the information in the evaluation result or the predicted trend graph exceeds a preset threshold value, generating early warning information of different grades and pushing the early warning information to a handheld terminal of an operation and maintenance person through a wireless transmission assembly.
2. The method for sensing the operation situation considering the weak link of the power distribution network according to claim 1, wherein the weak link of the power distribution network in the step 1 specifically comprises a weak line, a weak node and weak equipment.
3. The method for sensing the operation situation considering the weak links of the power distribution network according to claim 1, wherein the specific identification operation of the weak links in the step1 is to determine weights of all indexes by using a hierarchical analysis method, quantitatively score the weak degree of all nodes, equipment and lines by using a fuzzy comprehensive evaluation method, set a scoring threshold, define objects with the scores higher than the threshold as weak links, and sort the weak links according to the scores.
4. The method for sensing the running situation considering the weak links of the power distribution network according to claim 1, wherein the normalization and fusion processing of the data in the step 2 is specifically to unify data dimensions by adopting a Z-score standardization method and realize multi-source data fusion by adopting a feature fusion algorithm based on an attention mechanism.
5. The operation situation awareness method considering the weak links of the power distribution network, which is disclosed in claim 1, is characterized in that the operation situation assessment in the step 3 comprises static safety assessment, transient stability assessment and risk level assessment, wherein the static safety assessment is to calculate indexes such as N-1 passing rate, voltage threshold probability, load rate threshold probability and the like of the weak links based on current operation data, the static safety is assessed, the transient stability assessment is to carry out time domain simulation or a data driving-based method aiming at a preset typical fault set, the transient stability margin of the weak links under the fault is assessed, and the risk level assessment is to comprehensively consider the static safety level, the transient stability level, the equipment health state and external environment factors of the weak links, and the comprehensive risk index is calculated by adopting a risk theory, and the risk level is divided.
6. The method for sensing the operation situation considering the weak links of the power distribution network according to claim 1, wherein the early warning threshold in the step 5 is determined according to the safety operation rules and the historical fault data of the power distribution network, and the early warning information is divided into three stages of mild early warning, moderate early warning and severe early warning.

Description

Operation situation sensing method considering weak links of power distribution network Technical Field The invention belongs to the technical field of power grid operation monitoring, and particularly relates to an operation situation sensing method considering weak links of a power distribution network. Background The distribution network is used as an end link of a power system, and is used for carrying important tasks of transmitting electric energy from a transmission network to users, the running state of the distribution network directly relates to the power supply reliability and the electric energy quality, and the influence of weak links is more remarkable along with the large number of accesses of distributed power sources, the rapid increase of power loads and the increasing complexity of network topology. At present, the existing power distribution network operation situation awareness method focuses on monitoring and evaluating overall operation parameters, ignores decisive effects of weak links on overall situations, causes insufficient situation awareness precision, and is difficult to pre-judge cascading failures caused by the weak links in advance; although part of the method relates to weak link analysis, the problems of fuzzy recognition standards, incomplete data acquisition, lack of pertinence of an evaluation model and the like exist, and accurate and comprehensive sensing of the running situation of the power distribution network cannot be realized, so that the method for sensing the running situation of the power distribution network is necessary to develop a precise and efficient power distribution network running situation sensing method considering the weak links of the power distribution network in order to improve the situation sensing capability of the power distribution network and ensure the safe and stable running of the power distribution network. Disclosure of Invention The invention aims to overcome the defects of the prior art and provides a precise and efficient power distribution network operation situation sensing method considering weak links of a power distribution network. The invention aims to realize the operation situation sensing method considering the weak links of the power distribution network, which comprises the following steps: step 1, constructing a multi-dimensional identification index system based on a power distribution network topological structure, equipment parameters, historical operation data and environmental factors, identifying weak links of the power distribution network by adopting a mode of combining an analytic hierarchy process and a fuzzy comprehensive evaluation method, sorting the weak links from heavy to slow after the identification is completed, so as to form a list, and updating the list of the weak links in real time by adopting a mode of combining a time sequence weighting method and gray correlation analysis; Step 2, acquiring operation data of the weak links identified in the step 1 in real time through a power distribution automation system, an advanced measurement system and sensing equipment of the Internet of things, wherein the operation data comprises electric quantity data, equipment state data and environment data, cleaning and filtering the acquired data by adopting a self-adaptive anomaly detection algorithm and combining with improved Kalman filtering, and finally, normalizing and fusing the acquired data to form a high-quality data set; step 3, constructing an operation situation assessment model aiming at the identified weak links, inputting the high-quality data set in the step 2 into the operation situation assessment model, assessing the operation state and the development trend aiming at the weak links in real time, and generating an assessment result; Step 4, based on the evaluation result in the step 3, carrying out short-term prediction on key operation indexes of the weak links by utilizing time sequence analysis, machine learning or deep learning algorithm so as to form a prediction trend graph; And 5, setting an early warning threshold value, and then visually displaying the real-time running state, the evaluation result and the predicted trend graph of the weak link through a man-machine interaction interface, and when the information in the evaluation result or the predicted trend graph exceeds a preset threshold value, generating early warning information of different grades and pushing the early warning information to a handheld terminal of an operation and maintenance person through a wireless transmission assembly. Further, the weak links of the power distribution network in the step 1 specifically include weak lines, weak nodes and weak devices. Further, the specific recognition operation of the weak links in the step 1 is to determine the weight of each index by adopting a hierarchical analysis method, quantitatively score the weak degree of each node, equipment and line by adopting a fuzzy comp