Power system stabilization based on artificial intelligent techniques: a review

Hassan, L.H. and Moghavvemi, M. and Mohamed, H.A.F. (2009) Power system stabilization based on artificial intelligent techniques: a review. In: International Conference for Technical Postgraduates, TECHPOS 2009, 14-15 December 2009, Kuala Lumpur, Malaysia.

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This paper reviews new approaches in modern research using Artificial Intelligent (AI) techniques to develop power system stabilizer (PSS). These techniques are Artificial Neural Network (ANN), fuzzy logic, hybrid artificial intelligent, expert systems, and optimization techniques base AI such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Tabu Search (TS) algorithm, etc. Research showed controllers designed based on a conventional control theory, modern and adaptive control theories, suffer from some limitations. However, AI techniques proved to be able to overcome theses limits. Hence, more researchers preferred to utilize these approaches for the power systems. The review efforts geared towards PSS and excitation system stabilizer developed based on AI techniques, which effectively enhance both small signal stability and transient stability and equally provide superior performances. In addition, the dynamic performance of different AI based stabilizers are established and compared with other types of PSSs.

Item Type: Conference or Workshop Item (Paper)
Additional Information: ISBN: 978-142445223-1Source DOI: 10.1109/TECHPOS.2009.5412107
Uncontrolled Keywords: Adaptive Control; AI techniques; Artificial intelligent; Artificial Neural Network; Conventional control; Dynamic performance; Excitation system; New approaches; Optimization techniques; Power system stabilization; Power system stabilizers; Power systems; Small signal stability; Tabu search algorithms; Transient stability; Control theory; Electric power systems; Expert systems; Fuzzy logic; Genetic engineering; Neural networks; Particle swarm optimization (PSO); Research; System stability; System theory; Tabu search; Adaptive control systems
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering
Depositing User: Ms. Norhamizah Tamizi
Date Deposited: 24 Mar 2014 08:55
Last Modified: 23 Nov 2017 02:30
URI: http://eprints.um.edu.my/id/eprint/9699

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