Title: Whale optimisation algorithm tuned fractional order PI^λD^μ controller for load frequency control of multi-source power system

Authors: Amit Kumar; Sathans Suhag

Addresses: Electrical Engineering Department, National Institute of Technology, Kurukshetra, Haryana, India ' Electrical Engineering Department, National Institute of Technology, Kurukshetra, Haryana, India

Abstract: This paper deals with the design and optimisation of a fractional order PI^λD^μ (FOPID) controller implemented for load frequency control (LFC) of a multi-area multi-source power system having the nonlinearities of time delays, generation rate constraint (GRC) and governor dead band (GDB). Whale optimisation algorithm (WOA), arguably for the first time in this area, is applied for optimal tuning of the parameters of FOPID controller. The comparative analysis of the performance of WOA vis-à-vis other recent evolutionary optimisation approaches is carried out from which it is observed that WOA optimised FOPID controller gives the best dynamic performance in terms of settling time and maximum overshoot in frequency and tie-line power deviations. Further, investigations carried out against system parametric variations within the range of ± 25% reveal that WOA tuned FOPID controller is the most effective and robust against wide variations in system parameters.

Keywords: fractional order controller; generation rate constraint; governor dead band; load frequency control; multi-source power system; whale optimisation algorithm.

DOI: 10.1504/IJBIC.2019.100153

International Journal of Bio-Inspired Computation, 2019 Vol.13 No.4, pp.209 - 221

Received: 15 Feb 2018
Accepted: 20 Feb 2019
Published online: 12 Jun 2019 *

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