Optimization strategy of automatic generation control in frequency regulation market based on improved particle swarm optimization algorithm

Frequency stability is the most important prerequisite for the safe operation of the power grid. To ensure the safe and stable operation of all kinds of power equipment in the power supply system. The frequency of the power supply system must be maintained within a reasonable range. In this paper, a simulation study on the frequency modulation performance of the combined automatic generation control system based on the improved particle swarm optimization is proposed, and the bidding constraints of the energy storage market are introduced. In the aspect of regulation strategy, the thermal power unit is mainly responsible for the low frequency command, and the energy storage system is responsible for the high frequency command. The real-time management of state of charge can not only improve the performance index of frequency modulation, but also ensure the efficient and stable operation of energy storage system. The operation strategy of energy storage power station to participate in the market in real time. The influence of different types of disturbances and the demand of intraday frequency modulation market are also fully considered. Through the above methods, the frequency modulation performance index can be improved, the wear degree of thermal power units can be reduced, and the reliability of operation can be improved.