Optimization of the Electric Power Leveling System Using Distributed Genetic Algorithms
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- Funabiki Shigeyuki
- 島根大学
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- Jyoukou Kazunori
- 島根大学
Bibliographic Information
- Other Title
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- 分散GAを用いた電力平準化システムの最適化
- ブンサン GA オ モチイタ デンリョク ヘイジュンカ システム ノ サイテキカ
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Abstract
Electric power demand has an increasing tendency year by year. The load power fluctuation becomes larger with the incleasing demand,thus electric power quality is getting worse. To improve the electric power quality,electric power leveling systems (EPLS's) using energy storage technology are desired to be developed. This paper proposes a new optimization method of the EPLS with superconducting magnetic energy storages (SMES's) using distributed genetic algorithms. The evaluation function in the optimization is composed of the initial costs of EPLS and the reduction cost of the electricity rate. The efficiency of the power converter in the ELPS and the effect of the reactive power compensation on the electricity rate are also taken into account. From the optimization results,installing the ELPS can achieve the cost reduction by sixteen billion yen in the SMES life. The effective optimization can be realized compared with the simple genetic algorithms. Thus,the proposed method is clarified to be valid for the optimization of the EPLS.
Journal
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- The Journal of the Institute of Electrical Installation Engineers of Japan
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The Journal of the Institute of Electrical Installation Engineers of Japan 27 (10), 854-860, 2007
The Institute of Electrical Installation Engineers of Japan
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Details 詳細情報について
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- CRID
- 1390001205745282560
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- NII Article ID
- 10021135963
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- NII Book ID
- AN10067173
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- ISSN
- 21886946
- 09100350
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- NDL BIB ID
- 8975583
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- CiNii Articles
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- Abstract License Flag
- Disallowed