机译:基于数据聚类的方法可在包括风电场在内的配电系统中优化电容器分配
Univ Tabriz, Fac Elect & Comp Engn Dept, Tabriz, Iran;
Shahid Beheshti Univ, Fac Elect & Comp Engn, Tehran, Iran;
Flinders Univ S Australia, Coll Sci & Engn, Adelaide, SA, Australia;
Univ Tabriz, Fac Elect & Comp Engn Dept, Tabriz, Iran|Near East Univ, Fac Engn, Nicosia, Cyprus;
optimisation; Monte Carlo methods; pattern clustering; distribution networks; wind power plants; stochastic processes; distributed power generation; optimal capacitor allocation; distribution systems; shunt capacitors; voltage profile; power losses; stochastic nature; WFs; wind-integrated radial distribution networks; optimal siting; wind uncertainty; probabilistic approach; Monte Carlo simulation; stochastic variation; wind farm output; data-points; output power; desired clusters; capacitor sizing; MCS; K-means-data clustering-based approach; K;
机译:基于数据聚类的分配系统最优电容分配方法,包括风电场
机译:径向分布系统中风农场和顺声电容器分配的基于聚类技术经济分析
机译:SVR,电容器,集中式风电场和储能系统的最佳多配置和分配:实际配电网络中的多目标方法
机译:基于分布稳健优化方法的多区域电力系统风电场优化分配
机译:多机动力系统(包括风电场)的动态建模和分析。
机译:分布式数据库系统(DDBS)中同时进行水平数据分段和分配的优化方法
机译:风力发电机配电系统最优电容器规划的概率方法