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Power System Stabilizer Tuning Based on Multiobjective Design Using Hierarchical and Parallel Micro Genetic Algorithm

Power System Stabilizer Tuning Based on Multiobjective Design Using Hierarchical and Parallel Micro Genetic Algorithm
Power System Stabilizer Tuning Based on Multiobjective Design Using Hierarchical and Parallel Micro Genetic Algorithm
In order to achieve the optimal design based on some specific criteria by applying conventional techniques, sequence of design, selected locations of PSSs are critical involved factors. This paper presents a method to simultaneously tune PSSs in multimachine power system using hierarchical genetic algorithm (HGA) and parallel micro genetic algorithm (parallel micro-GA) based on multiobjective function comprising the damping ratio, damping factor and number of PSSs. First, the problem of selecting proper PSS parameters is converted to a simple multiobjective optimization problem. Then, the problem is solved by a parallel micro GA based on HGA. The stabilizers are tuned to simultaneously shift the lightly damped and undamped oscillation modes to a specific stable zone in the s-plane and to self identify the appropriate choice of PSS locations by using eigenvalue-based multiobjective function. Many scenarios with different operating conditions have been included in the process of simultaneous tuning so as to guarantee the robustness and their performance. A 68-bus and 16-generator power system has been employed to validate the effectiveness of the proposed tuning method.
Hierarchical genetic algorithm, multiobjective design, parallel micro genetic algorithm, power system stabilizer tuning.
0-7803-8610-8
402-407
Hongesombut, Komsan
48224735-3829-4144-a513-d331c53744d7
Mitani, Yasunori
b5136002-e1be-49d4-8d42-5947844a3680
Dechanupaprittha, Sanchai
fbfe2e7d-283e-4f3d-9f8b-776d4d3767f3
Ngamroo, Issarachai
ee92f13f-7af8-492f-9ed7-0c71300ffb93
Pasupa, Kitsuchart
952ededb-8c97-41b7-a65b-6aba31de2669
Tippayachai, Jarurote
f59c4c96-eeae-4f15-a43c-df72d42c23a1
Hongesombut, Komsan
48224735-3829-4144-a513-d331c53744d7
Mitani, Yasunori
b5136002-e1be-49d4-8d42-5947844a3680
Dechanupaprittha, Sanchai
fbfe2e7d-283e-4f3d-9f8b-776d4d3767f3
Ngamroo, Issarachai
ee92f13f-7af8-492f-9ed7-0c71300ffb93
Pasupa, Kitsuchart
952ededb-8c97-41b7-a65b-6aba31de2669
Tippayachai, Jarurote
f59c4c96-eeae-4f15-a43c-df72d42c23a1

Hongesombut, Komsan, Mitani, Yasunori, Dechanupaprittha, Sanchai, Ngamroo, Issarachai, Pasupa, Kitsuchart and Tippayachai, Jarurote (2004) Power System Stabilizer Tuning Based on Multiobjective Design Using Hierarchical and Parallel Micro Genetic Algorithm. Proceedings of 2004 International Conference on Power System Technology (POWERCON 2004), Singapore. 21 - 24 Nov 2004. pp. 402-407 . (doi:10.1109/ICPST.2004.1460028).

Record type: Conference or Workshop Item (Other)

Abstract

In order to achieve the optimal design based on some specific criteria by applying conventional techniques, sequence of design, selected locations of PSSs are critical involved factors. This paper presents a method to simultaneously tune PSSs in multimachine power system using hierarchical genetic algorithm (HGA) and parallel micro genetic algorithm (parallel micro-GA) based on multiobjective function comprising the damping ratio, damping factor and number of PSSs. First, the problem of selecting proper PSS parameters is converted to a simple multiobjective optimization problem. Then, the problem is solved by a parallel micro GA based on HGA. The stabilizers are tuned to simultaneously shift the lightly damped and undamped oscillation modes to a specific stable zone in the s-plane and to self identify the appropriate choice of PSS locations by using eigenvalue-based multiobjective function. Many scenarios with different operating conditions have been included in the process of simultaneous tuning so as to guarantee the robustness and their performance. A 68-bus and 16-generator power system has been employed to validate the effectiveness of the proposed tuning method.

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More information

Published date: 21 November 2004
Additional Information: Event Dates: 21-24 November 2004
Venue - Dates: Proceedings of 2004 International Conference on Power System Technology (POWERCON 2004), Singapore, 2004-11-21 - 2004-11-24
Keywords: Hierarchical genetic algorithm, multiobjective design, parallel micro genetic algorithm, power system stabilizer tuning.
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 266598
URI: http://eprints.soton.ac.uk/id/eprint/266598
ISBN: 0-7803-8610-8
PURE UUID: f6598dcd-8f6a-4a5b-b96a-01523c72170b

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Date deposited: 23 Aug 2008 10:00
Last modified: 19 Jul 2019 22:21

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