引用本文:栗 然,王飞飞,李增辉.基于风险评估的配电网检修决策优化[J].电力自动化设备,2013,33(11):
LI Ran,WANG Feifei,LI Zenghui.Maintenance decision making optimization based on risk assessment for distribution system[J].Electric Power Automation Equipment,2013,33(11):
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基于风险评估的配电网检修决策优化
栗 然, 王飞飞, 李增辉
华北电力大学 电气与电子工程学院,河北 保定 071000
摘要:
提出一种基于风险评估的配电网检修决策优化模型,有效地融合不同的检修方式,并综合考虑设备状态及其发展、各类检修的作用、电网的运行方式等因素。模型计及电网检修风险和电网故障风险,以电网运行风险最小为优化目标,以电网安全约束、检修关系约束和检修资源约束等为约束条件,并采用粒子群优化算法进行求解。RBTS-BUS2系统仿真结果验证了所提模型的合理性和有效性。
关键词:  状态检修  风险评估  检修风险  故障风险  粒子群优化算法  配电  优化  模型  决策
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Maintenance decision making optimization based on risk assessment for distribution system
LI Ran, WANG Feifei, LI Zenghui
School of Electrical and Electronic Engineering,North China Electric Power University,Baoding 071000,China
Abstract:
A model of maintenance decision making optimization based on risk assessment is proposed for distribution system,which effectively combines different maintenance methods together and comprehensively considers different factors,such as device state & its development,maintenance functions,grid operating modes,etc. With the consideration of grid maintenance and fault risks,it takes the minimum grid operation risk as its optimization objective and the grid safety,maintenance relation and maintenance resource as its constraints. The particle swarm optimization algorithm is adopted to solve the model. Its validity and effectiveness are verified by the simulative results for RBTS-BUS2 system.
Key words:  condition-based maintenance  risk assessment  maintenance risk  fault risk  particle swarm optimization algorithm  electric power distribution  optimization  models  decision making

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