Title :
Particle swarm optimization sliding mode control on interconnected power system
Author :
Xuejiao Guo ; Xiangjie Liu
Author_Institution :
State Key Lab. of Alternate Electr. Power Syst. with Renewable Energy Sources, North China Electr. Power Univ., Beijing, China
Abstract :
This paper presents the usage of particle swarm optimization sliding mode control(PSOSMC) on load-frequency in multi-area interconnected power systems. Compared with other schemes, the PSOSM controller not only can reduce large overshoots, which occurs at the instant of the step change of parameters, but also its control law parameter setting is simple and easy to implement. As we all know, one of the main obstacles of SMC is the difficulty in choosing optimal controller parameter which defines the sliding surface especially for large multi-input systems. The PSO algorithm is used to search for the optimal values of both the switching vector and feedback gains in the control law. The proposed methodology considers power system´s nonlinearity as well, including the valve limit on the governor and the generation rate constraints (GRC) problem. It is tested with a four-area interconnected power system. Simulation results demonstrate the effectiveness of the proposed control algorithm.
Keywords :
optimal control; particle swarm optimisation; power generation control; power system interconnection; variable structure systems; GRC problem; PSOSMC; feedback gains; generation rate constraints problem; load-frequency; multiarea interconnected power systems; multiinput systems; optimal controller parameter; particle swarm optimization; power system nonlinearity; sliding mode control; sliding surface; switching vector; Frequency control; Particle swarm optimization; Power system stability; Switches; Vectors; AGC; PSO; SMC;
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
DOI :
10.1109/ChiCC.2014.6896602