A reliable energy management and generation scheduling model in microgrids using modified cuckoo search algorithm

Clean and green energy production has become a major concern among researchers in recent years. In this context, microgrids can play a very important role and provide sustainable technological solution for this purpose. A microgrid is a small scale power network comprising of several distributed generation units, utilizing mostly renewable energy sources, such as solar PV and wind turbines, also incorporates battery storage, fuel cell and micro turbines. The main focus of this research work aims to develop a microgrid generation scheduling model using intelligent meta-heuristic algorithm. Here a modified cuckoo search algorithm is developed and utilized for energy management in microgrids. Case studies are conducted and results are presented for minimum operating costs without demand response participation and with demand response participation respectively. It represents the superiority of proposed demand side management scheduling model approach for effective energy management in microgrids.