Event Triggered Load Frequency Control Based on Particle Swarm Optimization in Interconnected Power Systems

Konferenz: ECITech 2022 - The 2022 International Conference on Electrical, Control and Information Technology
25.03.2022 - 27.03.2022 in Kunming, China

Tagungsband: ECITech 2022

Seiten: 5Sprache: EnglischTyp: PDF

Autoren:
Zhang, Xudong; Jiang, Yulian; Cui, Lichao (College of Electrical and Electronic Engineering, Changchun University of Technology, Changchun, China)

Inhalt:
Grid frequency is one of the important electric energy indexes. If there is a large deviation in the grid frequency, it will reduce the performance of power generation equipment and electrical equipment and even cause damage. Therefore, ensuring the frequency stability of power system is an important content of power system research. At the same time, with the continuous expansion of smart grid and the use of open network, it is urgent to solve the problem of excessive traffic in power system. Aiming at the problems of various disturbances that the load frequency control system may encounter and the increasing amount of communication data caused by the continuous expansion of interconnected power system, an event triggered linear active disturbance rejection control (LADRC) based on particle swarm optimization is proposed. Firstly, considering the influence of tie line signal and load disturbance, the mathematical model of load frequency control system in interconnected power system is established; Secondly, an event triggered LADRC is designed and its stability is analyzed; Thirdly, improved particle swarm optimization algorithm is used to optimize the controller parameters and event trigger parameters to achieve the optimal dynamic performance of the load frequency control system and reduce the amount of communication data as much as possible; Finally, the simulation results show that the controller not only has good robustness, but also effectively reduces the amount of communication data.