Title :
Parallel evolutionary programming for optimal power flow
Author :
Lo, C.H. ; Chung, C.Y. ; Nguyen, D.H.M. ; Wong, K.P.
Author_Institution :
Dept. of Electr. Eng., Hong Kong Polytech Univ., Kowloon, China
Abstract :
This paper proposes a parallel evolutionary programming (EP) approach for solving the optimal power flow (OPF) problem. The parallel EP-OPF approach is less sensitive to the choice of starting points and types of generator cost curves. The developed algorithm is implemented on a Beowulf cluster with 31 Intel Pentium IV 2.66 GHz processors, which are arranged in master-slave structure. The proposed approach has been tested on the IEEE 30- and 118-bus systems. Computational speedup and performance of the master-slave topology is then compared to those of the sequential EP approach.
Keywords :
costing; evolutionary computation; load flow; mathematical programming; power engineering computing; 2.6 GHz; Beowulf cluster; IEEE 118-bus systems; IEEE 30-bus system; Intel Pentium IV processor; master-slave structure; master-slave topology; optimal power flow; parallel evolutionary programming; Clustering algorithms; Concurrent computing; Costs; Genetic programming; Linear programming; Load flow; Master-slave; Optimization methods; Parallel programming; Power systems;
Conference_Titel :
Electric Utility Deregulation, Restructuring and Power Technologies, 2004. (DRPT 2004). Proceedings of the 2004 IEEE International Conference on
Print_ISBN :
0-7803-8237-4
DOI :
10.1109/DRPT.2004.1338491
