Optimal DER Sizing Using Microgrid Design Tool Integrating Model Predictive Control Based Energy Management - A Case Study

Abstract

We present the results of a case-study analysis for optimal sizing of a battery energy storage system (BESS), photovoltaic and/or genset (or cogeneration unit) using a recently developed microgrid design tool (MGDT) which integrates advanced energy management algorithm, including MPC (Model Predictive Control) approach embedded into the optimization engine. MPC algorithm is based on the resolution of an optimization problem that uses the variable electric tariff rates (for both energy and demand), the predicted load, and distributed energy resources production profiles to minimize the cost function over a time horizon (typically 24-hours) with respect to optimal energy profile results. This Matlab Simulink based tool was able to produce comparative results to indicate battery-autonomy and how the battery design impacts the cost when the microgrid operates in grid connected mode. The analyzed KPIs were: renewable penetration ratio, yearly cost for utility grid, cash flow on the full project lifetime.