Optimal outage maintenance method based on bpnn maintenance demand index analysis
A maintenance demand and index technology, applied in the field of electric power, can solve the problems of no objective, quantified and perfect evaluation methods, and achieve the effect of improving electricity satisfaction and power supply reliability, avoiding frequent power outages, and improving maintenance efficiency
Active Publication Date: 2022-08-09
国网浙江省电力有限公司嵊泗县供电公司 +1
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[0003] At present, when determining the weight of indicators in the comprehensive analysis of multiple indicators, most of them come from the subjective judgment of indicators, and there is no objective, quantitative and perfect evaluation method. Therefore, it is very important to study the method of simple, objective and quantitative power outage maintenance demand index important
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[0023] The technical idea adopted in this specific embodiment is: by adopting the idea of constructing a hierarchical structure tree to establish the topology structure of the power grid, and analyzing the mutual influence relationship between various devices in the power grid according to the tree structure, the influence scope of a certain power outage maintenance is obtained. And based on this scope of influence, all the equipment for this outage maintenance are obtained, and then based on the Back Propagation Neural Network (BPNN, Back Propagation Neural Network), the maintenance demand index of these equipment is analyzed, and the optimal outage maintenance plan is formulated based on this. Its process includes the following steps:
[0024] S1. Establish a power grid network topology structure;
[0025] S2, based on the power grid network topology, find out the auxiliary stop equipment associated with the equipment that must be checked;
[0026] S3. Calculate the maint...
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The invention relates to the field of electric power technology, and discloses an optimal power failure maintenance method based on BPNN maintenance demand index analysis. By adopting the idea of constructing a hierarchical structure tree, the topology structure of the power grid network is established, and the mutual influence relationship between various devices in the power grid is analyzed according to the tree structure, and the influence scope of a certain power outage maintenance is obtained. All equipment to be repaired, and then based on BPNN to analyze the maintenance demand index of these equipment, and based on this, the optimal outage maintenance plan is formulated. The invention finds out the corresponding accompany-stopping equipment on the power-off line of the power-off maintenance of the equipment that must be inspected, and proposes a maintenance plan for the accompany-stopping equipment that needs to be repaired, thus greatly improving the maintenance efficiency, realizing multi-purpose and comprehensive maintenance at one stop, and avoiding the need for users to Frequent and prolonged power outages occur. Greatly improve the user satisfaction with electricity and power supply reliability.
Description
technical field [0001] The invention relates to the field of electric power technology, in particular to an optimal power failure maintenance method in the maintenance of electric power system equipment. Background technique [0002] In the maintenance of power system equipment, the process of each power outage maintenance will have a certain impact and psychological conflict on the society and residents. Due to the lack of scientific planning, the maintenance plan is often affected by human factors, including work experience, personal judgment, etc., which has a negative effect on the maintenance work. Based on this background, it is necessary to formulate a scientific and reasonable maintenance plan arrangement method, in the case of few power outages, to minimize the number of repeated power outages and reduce the impact of power outages on users. [0003] At present, the multi-index comprehensive analysis is mostly based on the subjective judgment of the index when dete...
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IPC IPC(8): H02J3/00H02G1/02
CPCY04S10/50
Inventor 康纬管钧斌王春雨冯海俊林淑英刘云鹏
Owner 国网浙江省电力有限公司嵊泗县供电公司