| Title |
Comparison of Evolutionary Computation for Power Flow Control in Power Systems |
| Keywords |
Genetic Algorithms(GA) ; Evolutionary Programming(EP) ; Evolution Strategy(ES) ; P-optimization ; Q-optimization |
| Abstract |
This paper presents an unified method which solves real and reactive power dispatch problems for the economic operation of power systems using evolutionary computation such as genetic algorithms(GA), evolutionary programming(EP), and evolution strategy(ES). Many conventional methods to this problem have been proposed in the past, but most of these approaches have the common defect of being caught to a local minimum solution. The proposed methods, applied to the IEEE 30-bus system, were run for 10 other exogenous parameters and composed of P-optimization module and Q-optimization module. Each simulation result, by which evolutionary computations are compared and analyzed, shows the possibility of applications of evolutionary computation to large scale power systems. |