| 引用本文: | 穆斌,刘艳.考虑TSC提升的配电网区域机会维修模型[J].电力自动化设备,2018,(3): |
| MU Bin,LIU Yan.Regional opportunistic maintenance model for distribution network considering improvement of total supply capability[J].Electric Power Automation Equipment,2018,(3): |
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| 摘要: |
| 基于状态检修中设备性能要求与系统可靠性要求之间的矛盾，在传统状态检修的基础上，提出一种考虑最大供电能力(TSC)提升的配电网区域机会维修模型。提出一种区域机会维修模型以确定检修区域，该模型综合考虑设备个体性能、系统可靠性要求、设备间的关联、系统网络结构等关键因素，在此基础上，提出一种以TSC提升为目标函数的负荷转移模型，该模型通过节点深度编码(NDE)技术与遗传算法(GA)相结合的优化算法优化网络结构来得到满意的重构网络。以IEEE 33节点系统为例验证了所提算法提升TSC的有效性，以RBTS Bus2可靠性测试系统为例验证了考虑TSC提升的区域机会维修模型的有效性、实用性和科学性。 |
| 关键词: 区域机会维修；TSC NDE-GA；状态检修；配电网；模型 |
| DOI：10.16081/j.issn.1006-6047.2018.03.007 |
| 分类号:TM315 |
| 基金项目: |
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| Regional opportunistic maintenance model for distribution network considering improvement of total supply capability |
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MU Bin, LIU Yan
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School of Electrical and Engineering, North China Electric Power University, Baoding 071003, China
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| Abstract: |
| Aiming at the contradiction between the performance requirements of equipments and the reliability requirements of the system during the condition-based maintenance, a regional opportunistic maintenance model for the distribution network is proposed based on the traditional condition-based maintenance, which considers the improvement of TSC(Total Supply Capability). A regional opportunistic maintenance model is built to determine the maintenance area, which comprehensively considers the key factors, i. e. individual performance of equipment, reliability requirement of system, correlation between equipments, system network structure, etc. On this basis, a load transfer model with the improvement of TSC as its objective function is built, which optimizes the network structure by the algorithm combining NDE(Node-Depth Encoding) and GA(Genetic Algorithm) to obtain the satisfactory reconstruction network. IEEE 33-bus system is taken as an example to verify the effectiveness of the proposed algorithm in improving TSC, and the effectiveness, practicality and scientificalness of the proposed model is verified by RBTS Bus2 reliability test system. |
| Key words: regional opportunistic maintenance TSC NDE-GA condition-based maintenance distribution network models |
