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- 福山 良和
- 富士電機アドバンストテクノロジー(株)
書誌事項
- タイトル別名
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- Comparative Studies of Particle Swarm Optimization Techniques for Reactive Power Allocation Planning in Power Systems
- デンリョク ケイトウ ノ ムコウ デンリョク ハイブン ケイカク モンダイ エ ノ PSO ノ テキヨウ ヒカク ケントウ
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This paper compares particle swarm optimization (PSO) techniques for a reactive power allocation planning problem in power systems. The problem can be formulated as a mixed-integer nonlinear optimization problem (MINLP). The PSO based methods determines a reactive power allocation strategy with continuous and discrete state variables such as automatic voltage regulator (AVR) operating values of electric power generators, tap positions of on-load tap changer (OLTC) of transformers, and the number of reactive power compensation equipment. Namely, this paper investigates applicability of PSO techniques to one of the practical MINLPs in power systems. Four variations of PSO: PSO with inertia weight approach (IWA), PSO with constriction factor approach (CFA), hybrid particle swarm optimization (HPSO) with IWA, and HPSO with CFA are compared. The four methods are applied to the standard IEEE14 bus system and a practical 112 bus system.
収録刊行物
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- 電気学会論文誌B(電力・エネルギー部門誌)
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電気学会論文誌B(電力・エネルギー部門誌) 124 (5), 690-696, 2004
一般社団法人 電気学会
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詳細情報 詳細情報について
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- CRID
- 1390282679579205376
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- NII論文ID
- 10012885606
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- NII書誌ID
- AN10136334
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- BIBCODE
- 2004IJTPE.124..690F
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- ISSN
- 13488147
- 03854213
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- NDL書誌ID
- 7016679
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可