Title :
Locating Type-1 Load Flow Solutions using Hybrid Evolutionary Algorithm
Author :
Ting, T.O. ; Wong, K.P. ; Chung, C.Y.
Author_Institution :
Dept. of Electr. Eng., Hong Kong Polytech. Univ., Kowloon
Abstract :
Conventional methods can only locate some of the Type-1 load flow solutions in power systems and the located solutions are inadequate for voltage stability assessment. This paper proposes a hybrid genetic algorithm/particle swarm optimization algorithm for locating all the Type-1 load flow solutions. The characteristics of the Type-1 solutions are described in the paper. The hybrid algorithm is applied to two test systems. The test results obtained are satisfactory and promising for voltage stability monitoring applications
Keywords :
genetic algorithms; load flow; particle swarm optimisation; power system stability; Type-1 load flow solutions; genetic algorithm; hybrid GA-PSO algortihm; hybrid evolutionary algorithm; particle swarm optimization; power systems; voltage stability assessment; Bifurcation; Cybernetics; Eigenvalues and eigenfunctions; Equations; Evolutionary computation; Hybrid power systems; Load flow; Load flow analysis; Machine learning; Machine learning algorithms; Particle swarm optimization; Power system stability; System testing; Voltage; Bifurcation; Hybrid evolutionary algorithm; Load flow analysis; Voltage stability;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.258867
