Cost-based power distribution optimization scheduling in microgrid

Renewable energy is one of the solutions of energy limitation problem in the world. It often works with some independent plants of renewable energy that work together under the circumstances of center control. The renewable energy system (RES) such as photovoltaic (PV), wind turbine (WT) has a serious lack of stability power output or uncertain power. Because of that, the microgrid system (MGs) is built to optimize the power flow and minimize the impact of energy fluctuation. Not only about the power flow, but also the cost analysis is important in order to find the optimized power resource combination to reduce cost. This paper proposes a cost-based power distribution scheduling optimization in a microgrid. The power resource conducted from PVs, WT, biomass, and storage system performed by 0-1 Knapsack problem formula. In order to find the optimized cost, genetic algorithm (GA) is used. The output shows the optimized cost, output power which depends on energy load and true power resource combination of microgrid scheduling.