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|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|
|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|
|Publisher Link: ||http://dx.doi.org/10.4314/ijest.v7i3.12S|
|Appears in Collections:||Published Articles (Mechanical, Electrical and Manufacturing Engineering)|
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