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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/19795

Title: MVMO-based approach for optimal placement and tuning of supplementary damping controller
Authors: Rueda Torres, J.L.
Gonzalez-Longatt, Francisco M.
Keywords: Coordinated control
Damping controllers
Metaheuristics
Small-signal stability.
Issue Date: 2015
Publisher: © MultiCraft
Citation: 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.
Abstract: This 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).
Description: 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.v7i3.12S
Version: Published
DOI: 10.4314/ijest.v7i3.12S
URI: https://dspace.lboro.ac.uk/2134/19795
Publisher Link: http://dx.doi.org/10.4314/ijest.v7i3.12S
ISSN: 2141-2820
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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