Optimization of a Hybrid Energy System Architecture in Island Mode by a Two-Layer Approach

Hybrid energy systems are an important part of sustainable development. Due to increased interest in optimal using of these systems, having various methods to solve the optimization problem seems to be necessary. This paper proposes a two-layer algorithm to use in a multi-objective optimization of the hybrid energy system planning. In the first layer, the optimal sizes of the hybrid power supply components are calculated by using moth-flame optimization algorithm (MFO). In the second layer, the optimal power flow is calculated by using the mathematical quadratic programming algorithm (QP) to optimize the hybrid energy system operation. Then, it is possible to prioritize the goals and add the extra constraints, by weighting coefficients. The optimization results have been compared to show the effectiveness of the proposed method in various cases.