Grey Wolf Optimizer Algorithm Based Fuzzy PID Controller for AGC of Multi-area Power System with TCPS

15Citations
Citations of this article
24Readers
Mendeley users who have this article in their library.

Abstract

In this paper, a meta-heuristic optimization algorithm has been applied to interconnected Hydro-thermal power system for automatic generation control (AGC). The optimal gains of the fuzzy based proportional, integral and derivative (PID) controllers are obtained by employing the proposed Grey Wolf Optimizer (GWO) algorithm. The generation rate constraint of 3% per minute for thermal power plant and 270% up and 360% down per minute for hydro plant have been considered. The dynamic performance of a two-area interconnected Hydro-thermal power system is investigated and compared with particle swarm optimization (PSO) and differential evolution (DE) techniques by incorporating a Thyristor Controlled Phase Shifter (TCPS) in series with the tie-line. The overall performance of the considered system has been significantly improved by controlling the phase angle of TCPS with the help of proposed Fuzzy PID controller. It is revealed that the frequencies of both area and tie-line power oscillations are quickly damped out by the proposed scheme under step load perturbations. Furthermore, the robustness of the proposed system is analysed when subjected to different loadings without recalculating the gains of the controller.

Cite

CITATION STYLE

APA

Lal, D. K., Barisal, A. K., & Tripathy, M. (2016). Grey Wolf Optimizer Algorithm Based Fuzzy PID Controller for AGC of Multi-area Power System with TCPS. In Procedia Computer Science (Vol. 92, pp. 99–105). Elsevier B.V. https://doi.org/10.1016/j.procs.2016.07.329

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free