Title :
Emergency control of power grid based on hybrid particle swarm optimization
Author :
Yihong Wang ; Yuhong Zhang ; Jiahui Han ; Caihao Liang ; Xiaohui Qin ; Qinyong Zhou
Author_Institution :
China Electr. Power Res. Inst., Beijing, China
Abstract :
When wavelet variation operation is increased on the basis of standard particle swarm optimization algorithm (SPSO), an innovative hybrid particle swarm optimization algorithm (HPSO) is formed. Based on the HPSO, aiming to the UHV power system containing 1000 kV and 500 kV, we can carry out the coordination optimization of emergency control for transient stability problem, here, the transient stability includes transient voltage stability and transient power Angle stability. Then we give a generator tripping strategy table for different UHV power flow section. The proposed HPSO-based approach has a better global convergence property and can obtain a higher quality of the optimal solution. Simulation results in the testing and demonstrating project of UHV power system show the effectiveness of the proposed approach.
Keywords :
load flow control; particle swarm optimisation; power control; power generation control; power grids; power system stability; voltage control; wavelet transforms; HPSO algorithm; SPSO algorithm; UHV power flow section; UHV power system; emergency control; generator tripping strategy table; global convergence property; hybrid particle swarm optimization algorithm; power grid; standard particle swarm optimization algorithm; transient power angle stability; transient voltage stability problem; voltage 1000 kV; voltage 500 kV; wavelet variation operation; Generators; Optimization; Particle swarm optimization; Power system stability; Stability analysis; Transient analysis; Emergency Control; Energy Storage; HPSO; Transient Stability;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2013 IEEE PES Asia-Pacific
Conference_Location :
Kowloon
DOI :
10.1109/APPEEC.2013.6837110