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Coordination of PSSs and SVC damping controller to improve probabilistic small-signal stability of power system with wind farm integration

Bian, X. Y. and Geng, Yan and Lo, Kwok L. and Fu, Yang and Zhou, Q. B. (2016) Coordination of PSSs and SVC damping controller to improve probabilistic small-signal stability of power system with wind farm integration. IEEE Transactions on Power Systems, 31 (3). pp. 2371-2382. ISSN 0885-8950

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Abstract

A modified fruit fly optimization algorithm (MFOA) combined with a probabilistic approach are proposed in this paper to coordinate and optimize the parameters of power system stabilizers (PSSs) and static VAR compensator (SVC) damping controller for improving the probabilistic small-signal stability of power systems with large-scale wind generation, taking into consideration the stochastic uncertainty of system operating conditions. It is generally accepted that there is a threat to the stability of power system with penetration of wind farm. In addition, the stochastic fluctuations of wind generation make PSSs tuning more difficult. In this paper, PSSs and SVC damping controller are employed for suppressing local and inter-area low frequency oscillation. In order to eliminate the adverse effect between PSSs and SVC damping controller, the MFOA based on the probabilistic eigenvalue is applied to coordinate and optimize their parameters. The effectiveness of the proposed approach is verified on two test systems.

Item type: Article
ID code: 62997
Notes: (c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: modified fruit fly optimization algorithm (MFOA), power system stabilizer (PSS), probabilistic small-signal stability, static VAR compensator (SVC), Electrical engineering. Electronics Nuclear engineering, Energy Engineering and Power Technology, Electrical and Electronic Engineering
Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Department: Faculty of Engineering
Depositing user: Pure Administrator
Date deposited: 23 Jan 2018 13:48
Last modified: 04 Jan 2019 09:15
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URI: https://strathprints.strath.ac.uk/id/eprint/62997
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