Application of Swarm Mean-Variance Mapping.pdf (308.14 kB)
Application of swarm mean-variance mapping optimization on location and tuning damping controllers
conference contribution
posted on 2016-03-23, 16:07 authored by Jose L. Rueda, Francisco Gonzalez-LongattFrancisco Gonzalez-LongattThis 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.
History
School
- Mechanical, Electrical and Manufacturing Engineering
Research Unit
- Centre for Renewable Energy Systems Technology (CREST)
Published in
IEEE PES Innovative Smart Grid Technologies 2015 Asian Conference (ISGT Asia 2015)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.Publisher
© IEEEVersion
- AM (Accepted Manuscript)
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/Acceptance date
2015-09-01Publication date
2015Notes
© 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.Publisher version
Language
- en
Location
Bangkok, ThailandAdministrator link
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