Optimization Methods for Optimal Power Flow in Microgrid Non-Autonomous Mode
Abstract
In this work, the Optimal Power Flows (OPF) for the tertiary control problem in microgrid is studied. The objective is to find the optimal dispatch of energy which maximize the benefit. Such energy can come from renewable sources, storage devices or the main power grid. To this aim, a unified model of the microgrid, which is operated in non-autonomous mode, has been developed. This model is composed by basic submodels of the distribution system, the photovoltaic panels, the wind turbines and the batteries for energy storage. The optimization problem is solved using three different methods provided by the optimization toolbox of MATLAB®. More precisely, an interior point method, a genetic algorithm and the direct search method have been considered. The performance of those optimization methods is analyzed in terms of efficiency and effectiveness. Some good results are depicted. The case study considers the microgrid connected to the main power system with the photovoltaic panels, the wind turbines and the batteries for energy storage. In this test, the power supplied by the grid is mostly due to the size of each renewable source, but it is possible to see the contribution of the microgrid in the cost graphics.
Keywords
Optimal power flow, Microgrid, Distributed power systems