Title: Optimal power flow analysis using Lévy flight spider monkey optimisation algorithm

Authors: Ajay Sharma; Harish Sharma; Annapurna Bhargava; Nirmala Sharma; Jagdish Chand Bansal

Addresses: Rajasthan Technical University, Kota, India ' Rajasthan Technical University, Kota, India ' Rajasthan Technical University, Kota, India ' Rajasthan Technical University, Kota, India ' South Asian University, New Delhi, India

Abstract: Optimal power flow (OPF) is the most requisite tool in the power system analysis. The OPF is relatively a difficult constrained optimisation problem and broadly solved by conventional as well as modern intelligent methods. In this paper the authors proposed a Lévy flight spider monkey optimisation (LFSMO) algorithm to solve the standard OPF problem for IEEE 30-bus system, which is proposed to improve the exploitation capability of spider monkey optimisation (SMO) algorithm. The performance of LFSMO is evaluated by testing it over 25 benchmark functions.

Keywords: spider monkey optimisation; SMO; swarm intelligence; Levy flight; local search; LFLS; optimal power flow; OPF; IEEE 30-bus; exploitation.

DOI: 10.1504/IJAISC.2016.081359

International Journal of Artificial Intelligence and Soft Computing, 2016 Vol.5 No.4, pp.320 - 352

Received: 22 Jul 2016
Accepted: 07 Sep 2016
Published online: 05 Jan 2017 *

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