Fractional-order lead-lag compensator-based multi-band power system stabiliser design using a hybrid dynamic GA-PSO algorithm

• Published in: IET generation, transmission & distribution Vol. 12; no. 13; pp. 3248 - 3260
• Main Authors: Kuttomparambil Abdulkhader, Haseena, Jacob, Jeevamma, Mathew, Abraham T
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 31.07.2018
• Subjects: dynamic genetic algorithm; dynamic stability improvement; eigenvalue analysis; eigenvalues and eigenfunctions; electromechanical oscillation; Fo‐MBPSS; fractional parameter effect; fractional‐order controller; frequency response; genetic algorithms; hybrid DGA‐PSO algorithm; meta‐heuristic hybrid algorithm; multimachine power system; nonlinear time‐domain simulation; particle swarm optimisation; power system control; power system dynamic stability; power system faults; power system stabiliser; Research Article; robust control; robust fractional‐order lead‐lag compensator‐based multiband PSS design; synchronous generator; time‐domain analysis; particle swarm optimisation; robust fractional-order lead-lag compensator-based multiband PSS design; multimachine power system; time-domain analysis; genetic algorithms; fractional parameter effect; power system stabiliser; eigenvalues and eigenfunctions; power system faults; dynamic stability improvement; electromechanical oscillation; fractional-order controller; meta-heuristic hybrid algorithm; dynamic genetic algorithm; nonlinear time-domain simulation; hybrid DGA-PSO algorithm; robust control; power system dynamic stability; power system control; Fo-MBPSS; synchronous generator; eigenvalue analysis; frequency response
• ISSN: 1751-8687; 1751-8695; 1751-8695
• DOI: 10.1049/iet-gtd.2017.1087

Power system stabilisers (PSSs) are supplementary controllers connected to the excitation system of synchronous generators to damp electromechanical oscillations. Multi-band PSSs are reported as advanced PSSs with the ability to damp out all oscillation modes present in the power systems. This study presents the design of a robust fractional-order multi-band power system stabiliser (Fo-MBPSS) using a meta-heuristic hybrid algorithm for dynamic stability improvement of multi-machine power systems. The large bandwidth, memory effect and flat phase contribution in the frequency response of fractional-order controllers are exploited to make the Fo-MBPSS perform well against a wide range of system uncertainties. The parameter tuning problem of Fo-MBPSS is transformed to an optimisation problem that is solved using a hybrid algorithm by combining a dynamic genetic algorithm (DGA) with a standard particle swarm optimisation (PSO) algorithm. The performance of the proposed DGA-PSO-Fo-MBPSS is evaluated through eigenvalue analysis, non-linear time-domain simulations and some performance indices, in two different multi-machine systems under different loading conditions and disturbances. The results are compared with PSO-based conventional MBPSS and PSO based Fo-MBPSS (PSO-Fo-MBPSS) to establish the fractional parameter effect on the improvement of the system dynamic response and the relevance of the proposed hybrid optimisation technique in achieving robustness.