A novel sizing inherits allocation strategy of renewable distributed generations using crow search combined with particle swarm optimization algorithm

In this study, a new distributed generation sizing that inherits the allocation strategy for IEEE 30-bus benchmark system is proposed. The hybrid crow search-particle swarm optimization technique would select optimal buses through automatic cancelation of unfeasible load buses. Additionally, it performs minimum costs and transmission losses. Also, selects best technology among wind turbines photovoltaic energy systems based on total capital cost. proposed outperformed others in terms cost alleviation, power losses reduction, voltage profile improvement, lines loading mitigation.