MVMO-based approach for optimal placement and tuning of supplementary damping controller

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 eva...

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Main Authors:	J.L. Rueda Torres, Francisco Gonzalez-Longatt
Format:	Default Article
Published:	2015
Subjects:	Mechanical engineering not elsewhere classified Coordinated control Damping controllers Metaheuristics Small-signal stability. Mechanical Engineering not elsewhere classified
Online Access:	https://hdl.handle.net/2134/19795
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id	rr-article-9568889
record_format	Figshare
spelling	rr-article-95688892015-01-01T00:00:00Z MVMO-based approach for optimal placement and tuning of supplementary damping controller J.L. Rueda Torres (7209962) Francisco Gonzalez-Longatt (1249602) Mechanical engineering not elsewhere classified Coordinated control Damping controllers Metaheuristics Small-signal stability. Mechanical Engineering not elsewhere classified 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). 2015-01-01T00:00:00Z Text Journal contribution 2134/19795 https://figshare.com/articles/journal_contribution/MVMO-based_approach_for_optimal_placement_and_tuning_of_supplementary_damping_controller/9568889 CC BY-NC-ND 4.0
institution	Loughborough University
collection	Figshare
topic	Mechanical engineering not elsewhere classified Coordinated control Damping controllers Metaheuristics Small-signal stability. Mechanical Engineering not elsewhere classified
spellingShingle	Mechanical engineering not elsewhere classified Coordinated control Damping controllers Metaheuristics Small-signal stability. Mechanical Engineering not elsewhere classified J.L. Rueda Torres Francisco Gonzalez-Longatt MVMO-based approach for optimal placement and tuning of supplementary damping controller
description	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).
format	Default Article
author	J.L. Rueda Torres Francisco Gonzalez-Longatt
author_facet	J.L. Rueda Torres Francisco Gonzalez-Longatt
author_sort	J.L. Rueda Torres (7209962)
title	MVMO-based approach for optimal placement and tuning of supplementary damping controller
title_short	MVMO-based approach for optimal placement and tuning of supplementary damping controller
title_full	MVMO-based approach for optimal placement and tuning of supplementary damping controller
title_fullStr	MVMO-based approach for optimal placement and tuning of supplementary damping controller
title_full_unstemmed	MVMO-based approach for optimal placement and tuning of supplementary damping controller
title_sort	mvmo-based approach for optimal placement and tuning of supplementary damping controller
publishDate	2015
url	https://hdl.handle.net/2134/19795
_version_	1797193121060093952

MVMO-based approach for optimal placement and tuning of supplementary damping controller

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