Hybrid Intelligent Algorithm Applied to Economic Dispatch of Grid-Connected Microgrid System Considering Static and Dynamic Load Demand

This paper presents a novel hybrid modified-Gray Wolf Optimization-Sine Cosine Algorithm-Cuckoo Search Algorithm (MGWOSCACSA algorithm) as an optimization tool to minimize the generation cost of a grid-connected microgrid system. Initially, the optimal placing of DGs is performed to benefit a 33-bus distribution system. Thereafter three different cases were studied to analyze the generation cost of the system. The cases include without DGs, with 2 DGs, and with 3 DGs. The DGs considered for the study are two fossil-fueled power plants and a wind farm. The generation cost was found minimum of 1–2% when 3 DGs are considered in the study. Also proposed hybrid algorithm yielded better quality results than other optimization tools used in the study.