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A particle swarm optimization for reactive power and voltage control considering voltage security assessment
This paper presents a particle swarm optimization (PSO) for reactive power and voltage control (volt/VAr control: VVC) considering voltage security assessment (VSA). VVC can be formulated as a mixed-integer nonlinear optimization problem (MINLP). The proposed method expands the original PSO to handl...
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Published in: | IEEE transactions on power systems 2000-11, Vol.15 (4), p.1232-1239 |
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container_title | IEEE transactions on power systems |
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creator | Yoshida, H. Kawata, K. Fukuyama, Y. Takayama, S. Nakanishi, Y. |
description | This paper presents a particle swarm optimization (PSO) for reactive power and voltage control (volt/VAr control: VVC) considering voltage security assessment (VSA). VVC can be formulated as a mixed-integer nonlinear optimization problem (MINLP). The proposed method expands the original PSO to handle a MINLP and determines an online VVC strategy with continuous and discrete control variables such as automatic voltage regulator (AVR) operating values of generators, tap positions of on-load tap changer (OLTC) of transformers, and the number of reactive power compensation equipment. The method considers voltage security using a continuation power flow and a contingency analysis technique. The feasibility of the proposed method is demonstrated and compared with reactive tabu search (RTS) and the enumeration method on practical power system models with promising results. |
doi_str_mv | 10.1109/59.898095 |
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subjects | Assessments Automatic generation control Automatic voltage control Electric potential Mathematical models Optimization Particle swarm optimization Power generation Power system modeling Power system security Reactive power Reactive power control Regulators Security Voltage Voltage control |
title | A particle swarm optimization for reactive power and voltage control considering voltage security assessment |
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