A MICROGRID ENERGY MANAGEMENT SYSTEM IMPLEMENTSTION USING MIXED-INTEGER LINEAR PROGRAMMING

Abstract

The ever continued growth and development of distributed generation (DG) in the electrical grid system led to the increasing expansion of microgrids across the world. Microgrid is distributed power generation units, energy storage devices, and controllable loads with the capability to operate in both grid-connected and island modes. Microgrid's economic operation is achieved through an energy management system that optimally schedules distributed generations and storage devices and continuously balances supply and demand. In this paper, a formulation of optimal unit commitment and dispatch scheduling of DGs in a grid-connected microgrid is presented. Mixed-integer linear programming (MILP) is used to carry out the optimal resource scheduling model. The goal is to reduce the overall operating cost of the system by optimally utilizing an energy storage device and a diesel generator unit by using load and renewable energy generation prediction. Operational constraints such as generation limits of DGs, battery charging/discharging limits, and state of charge (SOC) limits to be satisfied during all intervals of operation. Simulation results indicate that the operational cost of the system is effectively reduced through optimal scheduling of an energy storage system and a diesel Genset unit using the proposed strategy