考虑输配交互的含风电场电力系统多目标动态随机模糊最优潮流  

Multi-objective dynamic random fuzzy optimal power flow of wind integrated power system considering the interaction of transmission-distribution system

作　　者：左剑[1] 汤吉鸿 钟伟[1] 杨丹[1] 李晅[2] 马瑞[2] ZUO Jian;TANG Jihong;ZHONG Wei;YANG Dan;LI Xuan;MA Rui(State Grid Hunan Electric Power Company,Changsha 410007,China;School of Electrical and Information Engineering,Changsha University of Science&Technology,Changsha410004,China)

机构地区：[1]国网湖南省电力公司,湖南长沙410007 [2]长沙理工大学电气与信息工程学院,湖南长沙410004

出　　处：《电力科学与技术学报》2020年第1期50-60,共11页Journal of Electric Power Science And Technology

基　　金：国家自然科学基金(51677007);国网湖南省电力有限公司科技项目(5216A5170012)。

摘　　要：提出一种考虑输配交互的含风电场电力系统多目标动态随机模糊最优潮流方法。突破传统输配网最优潮流独立计算且配网一般以负荷计及的现状,考虑主动配电网与输电网的双向潮流交互特性和风电注入功率随机模糊性,兼顾系统经济、低碳、降损多目标优化,考虑输配网静态安全,基于随机模糊机会约束规划建立含风电场电力系统输配交互多目标动态随机模糊潮流模型;提出在随机模糊模拟、牛顿拉夫逊法与前推回代法求解输配系统随机模糊潮流基础上,通过输配网节点功率和电压考虑输配交互特性,基于Look-ahead和NSGA-I获取各时段Pareto解,采用最大满意度法决策,从而提出模型求解算法。改进的IEEE 30节点输电系统与IEEE 33节点配电系统的算例仿真结果表明了文中提出的模型和算法有效性和优越性。This paper proposes a transmission-distribution interaction multi-objective dynamic random-fuzzy optimal power flow method for wind integrated power system.It is a breakthrough of the traditional independent optimal power flow method for transtmission and distribution network and that the distribution network is seen as load.Con-sidering bi-directional power interaction between active distribution network(ADN)and transmission system(TS)and the random-fuzzy nature of wind power injection,with multi-objectives of economic low carbon and loss reduc-tion,with respect to steady-state security and based on random-fuzzy chance constraint programming,transmission-distribution interaction multi-objective dynamic random-fuzzy optimal power flow model is established.Random-fuzzy power flow of transmission-distribution system is calculated through the random fuzzy simulation,Newton Ralph method and forward-backward sweep method.Based on this and considering transmission-distribution interaction power and voltage,Pareto optimal frontier of each time period is obtained through look-ahead and NASA-II,and the ma ximizing-satisfaction method is adopted in decision-making.An ilustration case based on modified IEEE 30 trans-mission system and IEEE 33 distribution system verifies the feasibility and superiority of the proposed method.

关 键 词：电力系统 风电场 输配网交互 随机模糊机会约束规划 多目标动态最优潮流 

分 类 号：TM71[电气工程—电力系统及自动化]