Optimal Configuration of Power Supply of Microgrid based on Bilevel Layer Programming with Renewable Energy Preferred

Abstract

For the region where the renewable energy sources are more abundant and the requirement of load on power supply reliability is lower, a bilevel programming model giving priority to renewable energy is proposed, which takes environmental friendliness and economy into account. The lower level giving priority to renewable energy, which aims at maximizing the renewable energy power generation capacity, determines the size of renewable energy; The upper level ensuring the reliability of the system, which aims at minimizing the cost of the whole life cycle including the system initial investment, operation maintenance cost, fuel costs, environmental penalty cost and government subsidies, ultimately determines the optimal capacity configuration of different power sources in the system. Then a hybrid algorithm that combines the genetic algorithm with linear programming to solve this model is constructed. At last, by comparing the bilevel programming model with single layer and single target programming one, the validity and rationality of the model are fully verified, and the influence of the renewable energy penetration power limit, the cost of renewable energy units and the local climate factors on the optimization results are evaluated too.