Smart Energy Management System for Optimal Microgrid Operation

Abstract

From the past decade there always have been improvement in the power system decentralization to achieve optimal microgrid operation whenever there is an increased integration of renewable energy resources. To improve power quality and environmental protection is a challenging task in a bulk power system when system is complex. Following these objectives, the idea of decentralized microgrids have been deployed over the time and several modules in actual have been prepared in countries like USA, UK, Germany, Japan, and others. In this perspective these microgrids have been investigated completely in terms of technical and economic benefits and it is concluded that the research in this area will take the existing small scale decentralized microgrids to large scale power generation in future. This thesis presents a hybrid energy storage based smart energy management system for the optimal microgrid operation (HesSEMS). The HesSEMS consists of battery energy storage system with supercapacitors management module, separate power forecasting module and scheduled operational optimization module. The weather prediction module at one day ahead power forecasting across different time steps forms input to the HesSEMS. Then optimization module deploys the methodology of mixed integer linear programming (MILP) to reduce the cost of power that is decided according to the load, PV generation and state of charge (SOC) of HESS. The accident is considered here as a natural disaster which is predictable. To get the desired results of the system MATLAB/ Simulink is used. The mixed integer linear programming code is designed in MATLAB whereas Simulations gives the beneficial results regarding the operation of this system.