Evolutionary programming based optimal power flow algorithm
J. YuryevichArtificial Intelligence and Power Systems Research Group, Department of Electrical and Electronic Engineering, University of Western Australia, Nedlands, WA, AustraliaKit Po WongArtificial Intelligence and Power Systems Research Group, Department of Electrical and Electronic Engineering, University of Western Australia, Nedlands, WA, Australia
1999en
ABI
Annotatsiya
This paper develops an efficient and reliable evolutionary programming algorithm for solving the optimal power flow (OPF) problem. The class of curves used to describe generator performance does not limit the algorithm and the algorithm is also less sensitive to starting points. To improve the speed of convergence of the algorithm as well as its ability to handle larger systems, the algorithm is enhanced with gradient information. In the paper, the main elements of the evolutionary programming based OPF algorithm are presented. The algorithm is then demonstrated on the IEEE 30 bus test system.
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