Journal of Applied Mathematics
- J. Appl. Math.
- Volume 2014, Special Issue (2014), Article ID 939326, 8 pages.
Design of SVC Controller Based on Improved Biogeography-Based Optimization Algorithm
Considering that common subsynchronous resonance controllers cannot adapt to the characteristics of the time-varying and nonlinear behavior of a power system, the cosine migration model, the improved migration operator, and the mutative scale of chaos and Cauchy mutation strategy are introduced into an improved biogeography-based optimization (IBBO) algorithm in order to design an optimal subsynchronous damping controller based on the mechanism of suppressing SSR by static var compensator (SVC). The effectiveness of the improved controller is verified by eigenvalue analysis and electromagnetic simulations. The simulation results of Jinjie plant indicate that the subsynchronous damping controller optimized by the IBBO algorithm can remarkably improve the damping of torsional modes and thus effectively depress SSR, and ensure the safety and stability of units and power grid operation. Moreover, the IBBO algorithm has the merits of a faster searching speed and higher searching accuracy in seeking the optimal control parameters over traditional algorithms, such as BBO algorithm, PSO algorithm, and GA algorithm.
J. Appl. Math., Volume 2014, Special Issue (2014), Article ID 939326, 8 pages.
First available in Project Euclid: 1 October 2014
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Digital Object Identifier
Dong, Feifei; Liu, Dichen; Wu, Jun; Cen, Bingcheng; Wang, Haolei; Song, Chunli; Ke, Lina. Design of SVC Controller Based on Improved Biogeography-Based Optimization Algorithm. J. Appl. Math. 2014, Special Issue (2014), Article ID 939326, 8 pages. doi:10.1155/2014/939326. https://projecteuclid.org/euclid.jam/1412178008