Optimal power flow using gravitational search algorithm
► Gravitational search algorithm (GSA) has been proposed to find the solution for OPF. ► We determine optimal settings of control variables of OPF problem. ► The performance of the GSA has been sought and tested on the IEEE 30-bus and 57-bus test systems. ► The comparison verifies the influence of t...
Gespeichert in:
Veröffentlicht in: | Energy conversion and management 2012-07, Vol.59, p.86-95 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | ► Gravitational search algorithm (GSA) has been proposed to find the solution for OPF. ► We determine optimal settings of control variables of OPF problem. ► The performance of the GSA has been sought and tested on the IEEE 30-bus and 57-bus test systems. ► The comparison verifies the influence of the proposed GSA approach over stochastic techniques.
In this paper, gravitational search algorithm (GSA) is proposed to find the optimal solution for optimal power flow (OPF) problem in a power system. The proposed approach is applied to determine the optimal settings of control variables of the OPF problem. The performance of the proposed approach examined and tested on the standard IEEE 30-bus and 57-bus test systems with different objective functions and is compared to other heuristic methods reported in the literature recently. Simulation results obtained from the proposed GSA approach indicate that GSA provides effective and robust high-quality solution for the OPF problem. |
---|---|
ISSN: | 0196-8904 1879-2227 |
DOI: | 10.1016/j.enconman.2012.02.024 |