Optimum Energy Dispatch Schedule of Distributed Energy Resources in Micro-Grid Using Artificial Electric Field Algorithm

Abstract

This paper proposes to solve a DER scheduling problem of a grid connected Micro-Grid (MG). The proposed problem aims to minimize the operation and emission cost of a MG comprises of Micro-Turbine (MT), Fuel cell (FC), Photovoltaic (PV), Wind turbine (WT) and storage battery (STB). The DER scheduling is aimed to comply the time varying energy price, operational costs, and constraints like electrical and thermal loads. The problem is formulated as a non-linear and non-convex dynamic optimization problem. The power output settings of MT and FC are considered as decision variables and is solved by using a newly developed meta-heuristic algorithm ‘Artificial Electric Field Algorithm (AEFA)’. Several case studies are performed to validate the effectiveness of the proposed model. Further, the efficacy and robustness of AEFA is also verified by comparing with other contemporary methods.