Multi-objective Optimization Load Frequency Control Method Based on Coupling the Participation of the Battery Energy Storage

Grid-connection of large-scale renewable energy lead to such problems as reduction of equivalent rotating inertia of power grid, insufficient reserve capacity of traditional thermal power plants, and so on. Although the participation of energy storage provides an effective way to solve this problem, however the relevance between the degree of participation of energy storage and the cost of frequency regulation needs in-depth exploration. For this reason, a control scheme, in which according to the demand difference of regional frequency regulation the participation degree of energy storage was adjusted, was proposed. Firstly, by means of regional disturbance identification a drive link was designed to enhance the output of energy storage. Secondly, considering the impact of the depth of charging/discharging of energy storage on its lifetime of cycle use, an optimization problem, which took the effect of frequency regulation and the cost of energy storage frequency regulation as objectives, was designed and solved by multi-objective genetic algorithm to obtain the optimal responsibility assignment of energy storage participating frequency regulation. Simulation results show that comparing with participating way of traditional load frequency control, using the proposed control scheme the potential of auxiliary frequency modulation of battery energy storage can be fully tapped, and a better balance between the frequency regulation effect and the cost of energy storage participating frequency regulation could be obtained.