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Title: Application of swarm mean-variance mapping optimization on location and tuning damping controllers
Authors: Rueda, Jose L.
Gonzalez-Longatt, Francisco M.
Keywords: Damping control
Evolutionary mechanism
Small-signal stability
Issue Date: 2015
Publisher: © IEEE
Citation: RUEDA, J.L. and GONZALEZ-LONGATT, F.M., 2015. Application of swarm mean-variance mapping optimization on location and tuning damping controllers. Proceedings of the 2015 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA), Bangkok, Thailand, 3rd-6th November 2015.
Abstract: This paper introduces the use of the Swarm Variant of the Mean-Variance Mapping Optimization (MVMO-S) to solving the multi-scenario problem of the optimal placement and coordinated tuning of power system damping controllers (POCDCs). The proposed solution is tested using the classical IEEE 39-bus test system, New England test system. This papers includes performance comparisons with other emerging metaheuristic optimization: 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 re-initialization (LBBO), and covariance matrix adaptation evolution strategy (CMA-ES). Numerical results illustrates the feasibility and effectiveness of the proposed approach.
Description: © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Version: Accepted for publication
DOI: 10.1109/ISGT-Asia.2015.7386968
URI: https://dspace.lboro.ac.uk/2134/20701
Publisher Link: http://dx.doi.org/10.1109/ISGT-Asia.2015.7386968
Appears in Collections:Conference Papers and Presentations (Mechanical, Electrical and Manufacturing Engineering)
Conference Papers and Contributions (CREST)

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