Payoff Allocation for Voltage Management System in Distribution Network using Demand Resources
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- Sekizaki Shinya
- Graduate school of engineering, Hiroshima University
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- Nishizaki Ichiro
- Graduate school of engineering, Hiroshima University
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- Hayashida Tomohiro
- Graduate school of engineering, Hiroshima University
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- Nadayoshi Takuya
- Graduate school of engineering, Hiroshima University
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- Masumi Shinya
- Graduate school of engineering, Hiroshima University
Bibliographic Information
- Other Title
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- 需要家リソース活用型配電系統電圧管理システムに対する利得配分
- ジュヨウカ リソース カツヨウガタ ハイデン ケイトウ デンアツ カンリ システム ニ タイスル リトク ハイブン
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Abstract
<p>This paper proposes a novel cooperative framework to develop the efficient voltage management system with social acceptance in the distribution network with photovoltaic generations (PV). In the developed framework, the voltage management problem using demand resources of consumers is formulated as the linear programming problem based on the cooperative game theory. The proposed method can efficiently compute an imputation in the non-empty core, i.e., a solution concept of the cooperative game, to realize the reliable voltage management system. Unlike previous related works, this paper explicitly addresses incentives of the consumers to the cooperative voltage management system. Moreover, although the computation of the core requires generally a huge computational time, this paper can efficiently allocate the payoff in the core by employing the linear production game (Owen, 1975). The proposed method is validated by computational experiments using a large scale distribution network model with PVs.</p><p></p><p></p><p></p>
Journal
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- Transactions of the Institute of Systems, Control and Information Engineers
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Transactions of the Institute of Systems, Control and Information Engineers 32 (6), 234-248, 2019-06-15
THE INSTITUTE OF SYSTEMS, CONTROL AND INFORMATION ENGINEERS (ISCIE)
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Keywords
Details 詳細情報について
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- CRID
- 1390282752325943040
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- NII Article ID
- 130007706924
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- NII Book ID
- AN1013280X
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- ISSN
- 2185811X
- 13425668
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- NDL BIB ID
- 029743193
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed