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
Univ Ryukyus, Fac Engn, 1 Senbaru Nishihara Cho, Nakagami, Okinawa 9030213, Japan;
Univ Ryukyus, Fac Engn, 1 Senbaru Nishihara Cho, Nakagami, Okinawa 9030213, Japan;
Univ Ryukyus, Fac Engn, 1 Senbaru Nishihara Cho, Nakagami, Okinawa 9030213, Japan;
Univ Ryukyus, Fac Engn, 1 Senbaru Nishihara Cho, Nakagami, Okinawa 9030213, Japan;
Univ Ryukyus, Fac Engn, 1 Senbaru Nishihara Cho, Nakagami, Okinawa 9030213, Japan;
Univ Ryukyus, Fac Engn, 1 Senbaru Nishihara Cho, Nakagami, Okinawa 9030213, Japan;
genetic algorithms; voltage regulators; Pareto optimisation; wind power plants; energy storage; power distribution planning; centralised wind farm; energy storage system; multiobjective approach; renewable energies; MATLAB environment; Pareto based epsilon multiobjective genetic algorithm; step-voltage regulator allocation; optimisation techniques; power quality reliability; SVR; electricity networks; greenhouse gas emission reduction; distribution networks; centralised wind-power generation; capacitor banks; energy supply; electricity shortages; power sustainability; power system planning;
机译:SVR,电容,集中式风电场和能量存储系统的最佳多配置和分配:实际分配网络中的多目标方法
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
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:配电网中分散式发电机,电容器和分布式储能系统的最佳分配
机译:在配电网络中基于风能的分布式发电进行优化分配,以提高电压稳定性并缓解输电线路的拥堵。
机译:智能铁路系统无线传感器网络的能源优化分配方法
机译:双级规划方法,用于分销网络中的能量存储系统的最佳分配