风险约束下的配电线路融冰优化决策模型  

De-icing Optimization Decision Model for Distribution Line Under Risk Constraints

作　　者：赵建文 杨成钢 傅颖 金华芳 胡志宏 黄慧春[2] ZHAO Jianwen;YANG Chenggang;FU Ying;JIN Huafang;HU Zhihong;HUANG Huichun(Lishui Power Supply Company,State Grid Zhejiang Electric Power Company,Lishui 323000,China;School of Electrical Engineering,Southeast University,Nanjing 210096,China)

机构地区：[1]国网浙江省电力公司丽水供电公司,浙江丽水323000 [2]东南大学电气工程学院,江苏南京210096

出　　处：《智慧电力》2019年第9期66-72,共7页Smart Power

基　　金：国家自然科学基金资助项目(51877041);浙江省电力公司科技项目(5211LS160007)~~

摘　　要：冰灾是电网最常见的自然灾害之一,为了科学合理地进行线路除冰操作,保证配电线路的安全稳定运行,提出了基于改进自适应遗传算法的除冰优化调度方法。首先建立了配电线路相关覆冰增长和荷载模型,对配电线路覆冰故障率和停运概率进行了分析建模,为后续的算法推理奠定基础。然后在配电线路除冰目标函数和约束条件的要求下,通过对遗传算法中的交叉概率和变异概率进行改进,得到更加高效的分析计算方法,对融冰优化问题进行求解。最后通过算例分析验证了所提出算法的有效性和实用性。Ice disaster is one of the most common natural disasters in the power grid.In order to scientifically and reasonably carry out the line deicing operation and ensure the safe and stable operation of distribution line,an optimized de-icing optimization scheduling method based on improved adaptive genetic algorithm is proposed.Firstly,the ice-covered growth and load models related to distribution lines are established.The failure rate and outage probability of distribution lines are analyzed and modeled,which lays a foundation for subsequent algorithm reasoning.Then,under the requirements of the de-icing objective function and constraints of the distribution line,the cross-probability and mutation probability in the genetic algorithm are improved,so that a more efficient analysis and calculation method is obtained,and the ice-melting optimization problem is solved.Finally,the validity and practicability of the proposed algorithm are verified by an example.

关 键 词：配电线路 除冰操作 覆冰率 遗传算法 除冰优化 

分 类 号：TM773[电气工程—电力系统及自动化]