Dynamic control of wind/photovoltaic hybrid power systems based on an advanced particle swarm optimization

Power Loss Minimization for Distribution Networks with Load Tap Changing Using Genetic Algorithm and Environmental Impact Analysis

“…Wang et al [30] use a mixed-integer multiobjective particle swarm optimization technique to design an optimum hybrid generating system with minimum cost and maximum reliability. Zang et al [31] propose an advanced particle swarm optimization algorithm to improve the power output by tracking the wind velocity and solar radiation of a wind/photovoltaic hybrid power system. Abdelkader et al [32] develop a multi-objective based Genetic Algorithm to size a hybrid power system with a hybrid energy storage system in terms of economic profitability and power quality.…”