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MVMO-based approach for optimal placement and tuning of supplementary damping controller
journal contribution
posted on 2015-12-08, 15:09 authored by J.L. Rueda Torres, Francisco Gonzalez-LongattFrancisco Gonzalez-LongattThis paper introduces an approach based on the Swarm Variant of the Mean-Variance Mapping Optimization (MVMO-S) to solve the multi-scenario formulation of the optimal placement and coordinated tuning of power system supplementary damping controllers (POCDCs). The effectiveness of the approach is evaluated based on the classical IEEE 39-bus (New England) test system. Numerical results include performance comparisons with other metaheuristic optimization techniques, namely, comprehensive learning particle swarm optimization (CLPSO), genetic algorithm with multi-parent crossover (GA-MPC), differential evolution DE algorithm with adaptive crossover operator, linearized biogeography-based optimization with reinitialization (LBBO), and covariance matrix adaptation evolution strategy (CMA-ES).
History
School
- Mechanical, Electrical and Manufacturing Engineering
Published in
International Journal of Engineering, Science and Technology, Special Issue: Energy, Economics and Environment,Volume
7Issue
3Pages
102 - 108Citation
RUEDA TORRES, J.L. and GONZALEZ-LONGATT, F.M., 2015. MVMO-based approach for optimal placement and tuning of supplementary damping Controller. International Journal of Engineering, Science and Technology, Special Issue: Energy, Economics and Environment, 7(3), pp. 102-108.Publisher
© MultiCraftVersion
- VoR (Version of Record)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Publication date
2015Notes
This paper was accepted for publication in the journal International Journal of Engineering, Science and Technology and the definitive published version is available at http://dx.doi.org/10.4314/ijest.v7i3.12SISSN
2141-2820eISSN
2141-2839Publisher version
Language
- en