Multi-objective Scheduling of Microgrids Considering the Curtailment Rate of Renewable Energy

Abstract

In order to improve the utilization rate of renewable energy and comprehensively enhance the economic efficiency and environmental friendliness of the microgrid, a multi - objective scheduling model for the microgrid is proposed. The objective functions of this model are to minimize the power generation cost, environmental cost, and wind and solar curtailment cost of the microgrid. The dream optimization algorithm with an adaptive strategy is used to solve the model. Through comparative analysis, it is verified that the proposed model has a better objective trade - off effect compared with single-objective and dual - objective models. Compared with the scenario only considering generation cost and environmental cost, the model can reduce the comprehensive operation cost by 2.9% and lower the wind and solar curtailment cost by 63.44%. Meanwhile, the proposed algorithm is compared with DOA, SSA, GWO, and PSO. It is concluded that the proposed algorithm has advantages in solution quality, stability, and objective trade - off both in test functions and in specific cases.