Optimization of Generation Scheduling Using Differential Evolution Algorithm

This work proposes a Differential Evolution (DE) algorithm based energy management system (EMS) to optimize the performance of a microgrid when the presence of renewable energy sources. The Micro-Grid system consists of a generator (DG), a Photovoltaic (PV) and a storage battery (batt). In addition to the Micro-grid system is connected to the system (Utility) to trading energy. The EMS efficiency is optimized by minimizing the  operating costs, maximizing profit from the Micro-Grid when exchanging with the system using the DE algorithm. The obtained results will be analyzed by MATLAB, including the generating capacity of the generator and the storage system based on the input data in a day. This allows DE to overcome the algorithm of convergence quality and speed