Application of SPEA2 and Monte-Carlo Simulation in Correlation of Specific Values to Multi-objective Optimal Allocations of SVRs
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- Yoshida Takafumi
- Department of Electronics and Bioinformatics, Meiji University
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- Mori Hiroyuki
- Department of Electronics and Bioinformatics, Meiji University
Bibliographic Information
- Other Title
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- SVRの多目的最適配置に対するSPEA2と指定値の相関を考慮したモンテカルロシミュレーションの適用
- SVR ノ タモクテキ サイテキ ハイチ ニ タイスル SPEA2 ト シテイチ ノ ソウカン オ コウリョ シタ モンテカルロシミュレーション ノ テキヨウ
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Abstract
This paper proposes an efficient multi-objective meta-heuristics (MOMH) for optimal allocation of step voltage regulators. The step voltage regulators (SVRs) deal with the voltage deviations in distribution networks. Recently, the deregulated and competitive power markets bring about uncertainties such as load growths and output of renewable energy like wind power generators, etc. This paper considers the uncertainties in Monte-Carlo-simulation-based method. Also, this paper makes use of improved the strength pareto evolutionary algorithm (SPEA2) for the problems efficiently. It has the remarkable accuracy and the diversity of the solution sets in MOMH. Therefore, it allows system planners to evaluate with many high quality solutions. The proposed method is successfully applied to a sample system.
Journal
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- IEEJ Transactions on Power and Energy
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IEEJ Transactions on Power and Energy 131 (3), 283-289, 2011
The Institute of Electrical Engineers of Japan
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Keywords
Details 詳細情報について
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- CRID
- 1390001204603195392
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- NII Article ID
- 10027803566
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- NII Book ID
- AN10136334
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- ISSN
- 13488147
- 03854213
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- NDL BIB ID
- 10986399
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed