Research Area:  Metaheuristic Computing

Abstract:

The main objective of this paper is to solve different configurations of the optimal power flow (OPF) problem efficiently using an improved version of the newly proposed electromagnetic field optimization (EFO) algorithm. The developed and improved new version of EFO is based on chaotic maps and on a new mechanism. This improved version is called improved chaotic electromagnetic field optimization (ICEFO) algorithm. The performances of the ICEFO algorithm are evaluated on a large set of cases using: tow formulations, three objective functions (cost minimization, cost minimization and voltage profile improvement and cost minimization and voltage stability enhancement) and three test systems (the IEEE 30-bus, the IEEE 57-bus and the IEEE 118-bus test systems). The obtained results of the developed algorithm are compared with other well-known algorithms. These results demonstrate that the developed algorithm is able to solve efficiently different configurations of the OPF problem and for different test systems.

Keywords:  
Electromagnetic field optimization
Metaheuristics
Chaos
Optimal power flow
ICEFO

Author(s) Name:  Houssem Bouchekara

Publisher name:  Springer

DOI:  10.1007/s00521-019-04298-3

Volume Information:  32, 2683–2703

Paper Link:   https://link.springer.com/article/10.1007/s00521-019-04298-3