Abstract
This paper proposes a novel robust thyristor-controlled series compensator (TCSC) controller based on proportional integral derivative with filter (PIDF) and uses a new hybrid optimisation evolutionary programming sine cosine algorithm (EPSCA) to improve the power system’s angle stability. The problem of the PIDF-TCSC design is transformed into an optimisation problem based on performance indices, such as damping factor, damping ratio, and eigenvalues, where the multi-objective function is employed to obtain the optimal stabiliser parameters. To examine the robustness of PIDF-TCSC, it was tested on a single-machine infinite-bus power system under different operating conditions. The performance of the system with the PIDF-TCSC controller was compared with the simulation results, and the results obtained with the proposed EPSCA were compared with those obtained with SCA, moth flame optimisation, and EP-based PIDF-TCSC methods. Simulation results showed the effectiveness of EPSCA for the PIDF-TCSC design and the superior robust performance for the enhancement of power system stability compared with other techniques in different cases.
Funder
Ministry of Higher Education
Universiti Kebangsaan Malaysia
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
Reference44 articles.
1. Kundur, P. Power System Stability Controls, 1994.
2. Wang, H., and Du, W. Analysis and Damping Control of Power System Low-Frequency Oscillations, 2016.
3. Anderson, P., and Fouad, A. Power System Control and Stability, 2002.
4. Machowski, J., Bialek, J.W., and Bumby, J.R. Power System Dynamics: Stability and Control, 2008.
5. Artificial Intelligent Based Damping Controller Optimization for the Multi-Machine Power System: A Review;Hannan;IEEE Access,2018
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