Aiming at the characteristics of interconnection and multi-source in modern power systems

a heuristic intelligent optimization algorithm is proposed to assist multi-area interconnected power systems with wind

solar

water

thermal storage to optimize load frequency control. This method takes the area control error of each region as the objective function

and uses the advantages of whale intelligent optimization algorithm

such as strong robustness

high solution accuracy and fast convergence speed to jointly optimize the parameters of the PID load frequency controller in each region

so that the system can maintain frequency stability and long-term safe operation under various random disturbances. Finally

a three-area interconnected power system model with wind

solar

water and thermal storage is established to compare the frequency and tie line power deviation of the interconnected power system in different optimization tuning methods

and test the stability of the system in different regions under different disturbances and the effectiveness of the proposed method. The experimental results show that the coordinated optimization tuning method of the multi-area interconnected load frequency controller adopted in this paper effectively improves the stability of the system

and has good robustness and practicality.