机译:基于粒子群优化的PID控制器参数优化用于多区域再热火电系统负荷频率控制
Department of Electrical and Electronics Engineering, Mahendra Institute of Engineering and Technology, Namakkal, Tamil nadu, India;
Department of Electrical and Electronics Engineering, Hindusthan College of Engineering and Technology, Coimbatore, Tamilnadu, India;
Department of Computer Science and Engineering, University Institute of Technology, BU, Burdwan, Westbengal, India;
Department of Information Technology, Techno India College of Technology, West Bengal, India;
Department of Electronics and Electrical Communications Engineering,Faculty of Engineering, Tanta University, Egypt;
Faculty of Engineering, Aurel Vlaicu University of Arad, Romania;
load frequency control; LFC; proportional-integral-derivative; PID; evolutionary computational intelligence; optimisation; hill climbing; HC; algorithm; genetic algorithm; GA; particle swarm optimisation; PSO;
机译:单区再热火电系统负荷频率控制中PID控制器整定的随机粒子群算法
机译:单区再热火电系统负荷频率控制中PID控制器整定的随机粒子群算法
机译:基于进化粒子群算法的两区电力系统负荷频率控制PID控制器优化
机译:通过使用寻道器优化算法的基于频率的PID控制器的优化设计来实现多区域电力系统的负载频率控制
机译:具有优化基于自调整的抗混蛋控制器
机译:通过灰狼算法和粒子群优化调整的控制器现代工业变速驱动系统稳态分析
机译:基于进化粒子群算法的两区电力系统负荷频率PID控制器优化。