Grey Wolf Optimization Algorithm based Combined Economic and Emission Dispatch Problem

Abstract

Economic dispatch for the microgrid (MG) is better adapted to the needs of a system in actual operation in the current scenario because it not only takes into account the scheduling cycle's lowest cost but also coordinates between several distributed generations (DGs) over a long period of time. Due of the unpredictable fluctuations and intervals that wind and solar energy are subject to, the economic dispatch problem is quite challenging to resolve. Intelligent algorithms and multi-objective optimum dispatching systems are acknowledged as excellent strategies for enhancing the economics and environmental friendliness of microgrid applications. The Multi Objective Optimal Dispatching System is developed for microgrids made up of photovoltaic cells (PV), wind turbines (WT), micro turbines (MT), fuel cells (FC), and battery storage (BT). The microgrid's dispatching problems might be solved and its dispatching convergence accuracy., stability., and speed all increased by using optimization techniques.