Dynamic Active Power Optimization Strategy in Microgrid Based on Virtual Synchronous Generator

Abstract

Traditional microgrid lacks rotational inertia and it needs to operate in the economic state. A dynamic power optimization strategy is proposed for microgrid based on the virtual synchronous generator's frequency regulation characteristics in this paper. Load in microgrid is divided into planned load and unplanned load. The optimization model with the goals of minimizing the generation operation cost and the transmission power of the linking-up road is established to distribute the planned load. The genetic algorithm-simulated annealing algorithm is used to solve the optimization model. Active power generation plans for the VSGs are formulated in the light of calculation results. Central controller estimates the power fluctuation value when unplanned load fluctuations occur in the microgrid. VSG's output power is dynamically adjusted based on the principle of equal marginal cost to achieve dynamic power optimization of microgrid. The effectiveness of the proposed control strategy is verified by simulation.