可再生能源2018，Vol.36Issue(7)：1027-1032,6.
基于多场景含双馈风机的配电网无功优化
Reactive power optimization for distribution network with doubly-fed induction generators in multiple scenarios
摘要
Abstract
As for the reactive power optimization for distribution network with doubly fed induction generators, in order to have a good approximation of wind power variation and improve computational efficiency, Latin hypercube sampling combined with scenarios reduction technique was applied to get the wind speed and scenario probability of different scenarios. The active power was obtained based on the characteristic of wind speed and active power output, the reactive power output scope was computed based on rotor side maximum current limitation and active power. By integrating traditional reactive power compensation, doubly fed induction generators take part in the reactive power optimization as a continuous adjustable reactive source. Reactive power optimization mathematical model was established with target of minimum loss of the active network and minimum system voltage deviation, adaptive grid multi-objective particle swarm optimization algorithm (AG-MOPSO) was adopted to calculate Pareto, and the ultimate reactive power optimization scheme was acquired according to entropy weight. Simulation of IEEE 33-bus distribution systems was carried out, and results prove the feasibility and effectiveness of the proposed method.关键词
双馈风机/多场景/配电网/无功优化/自适应栅格多目标粒子群优化算法Key words
doubly fed induction generator/multi-scenario/distribution network/reactive power optimization/adaptive grid Multi-objective particle swarm optimization algorithm分类
能源科技引用本文复制引用
张艺驰,姜凤利,周吉一,王俊,张洪春..基于多场景含双馈风机的配电网无功优化[J].可再生能源,2018,36(7):1027-1032,6.基金项目
辽宁省博士启动基金项目(201601106) （201601106）
辽宁省自然基金项目(20170450810). （20170450810）
