Corrective action planning considering FACTS allocation and optimal load shedding using bacterial foraging oriented by particle swarm optimization algorithm

Authors

RAHMAT ALLAH HOOSHMAND
MOSTAFA EZATABADI

DOI

10.3906/elk-0907-128

Abstract

Reactive power planning (RPP) involves optimal allocation and determination of the type and size of new reactive power (VAR) supplies to satisfy voltage constraints during normal and contingency states. The RPP issue is in fact an optimization of large scale mixed integer nonlinear programming problem, so it is proper to use an evolutionary algorithm to solve the problem. In this paper, in order to solve the RPP problem for corrective action of power systems, the bacterial foraging (BF) oriented by particle swarm optimization (PSO) algorithm (BF-PSO) is proposed. In the algorithm, the VAR control has been carried out by using flexible AC transmission systems (FACTS) devices, in order to minimize the installation costs of these devices. In order to determine the saving rate in the costs, corrective control is also performed by the utilization of load shedding algorithm. The IEEE 57-Bus system is used to test the proposed method. The simulation results of the proposed algorithm are compared with PSO and genetic algorithms (GA) to show the efficiency of this method in the RPP problem.

Keywords

FACTS devices, reactive power planning, load shedding, BF algorithm, PSO algorithm

First Page

597

Last Page

612

Recommended Citation

HOOSHMAND, RAHMAT ALLAH and EZATABADI, MOSTAFA (2010) "Corrective action planning considering FACTS allocation and optimal load shedding using bacterial foraging oriented by particle swarm optimization algorithm," Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 18: No. 4, Article 7. https://doi.org/10.3906/elk-0907-128
Available at: https://journals.tubitak.gov.tr/elektrik/vol18/iss4/7