Practicality Assessment of MILP and PSO and Evaluation of Hybridized Method in Operational Plans for Microgrid System

Mixed integer linear programming (MILP) and particle swarm optimization (PSO) are applied to create operational plans for microgrid systems composed of photovoltaic, battery, and co-generation systems. In this study, yearly operation plans are created using either MILP or PSO method with different optimization characteristics to minimize the operational cost, and evaluates the practicality of each method in terms of calculation accuracy and calculation time. Furthermore, a novel hybridized method is developed using the two calculation methods, and its usefulness is evaluated.