SVC damping controller design based on novel modified fruit fly optimisation algorithm. Issue 1 (14th November 2017)

• Record Type: Journal Article
• Authors: Zhang, Kaoshe; Shi, Zhaodi; Huang, Yuehui; Qiu, Chengjian; Yang, Shuo
• Is Part Of: IET renewable power generation. Volume 12:Issue 1(2018)
• Page Start: 90
• Page End: 97
• Publication Date: 2017-11-14
• Subjects: wind power plants -- control system synthesis -- static VAr compensators -- optimisation -- pattern clustering -- sensitivity analysis -- probability -- power system stability -- eigenvalues and eigenfunctions -- power generation control; SVC damping controller design -- modified fruit fly optimisation algorithm -- low‐frequency oscillation -- large‐scale wind power cluster systems -- wind farm cluster mode -- power fluctuation -- DIgSILENT -- power factory -- multiple time scale -- operating characteristics -- nMFOA -- probabilistic sensitivity indices -- static VAR compensator -- power system stability -- probabilistic eigenvalue -- Xinjiang Province; Renewable energy sources -- Periodicals; 333.79405
• DOI: 10.1049/iet-rpg.2017.0401
• Languages: English
• ISSNs: 1752-1416

Abstract

Abstract : Existing reactive power systems do not readily provide support or anti‐disturbance capabilities. This study was conducted to explore the predisposing factor and suppression measures of low‐frequency oscillation in large‐scale wind power cluster systems by establishing a wind farm cluster mode with wind power fluctuation in a DIgSILENT/power factory. Considering the multiple time scale and the operating characteristics of cluster system, a novel modified fruit fly optimisation algorithm (nMFOA) combined with probabilistic sensitivity indices is proposed to coordinate and optimise static VAR compensator (SVC) damping controller parameters to enhance the power system stability of the wind farm cluster. Adverse effects in the SVC damping controller are eliminated via the nMFOA with probabilistic eigenvalue, which can be used to effectively coordinate and optimise SVC parameters. The proposed scheme was tested on a certain wind farm cluster in Hami, Xinjiang Province.