Optimization of Demand Resources for Cooperative Voltage Management in Distribution Network with Photovoltaic Generations
-
- Sekizaki Shinya
- Graduate School of Engineering, Hiroshima University
-
- Nishizaki Ichiro
- Graduate School of Engineering, Hiroshima University
-
- Hayashida Tomohiro
- Graduate School of Engineering, Hiroshima University
-
- Masumi Shinya
- Graduate School of Engineering, Hiroshima University
-
- Nadayoshi Takuya
- Graduate School of Engineering, Hiroshima University
Bibliographic Information
- Other Title
-
- 太陽光発電システムが導入された配電系統における協調的電圧管理を目的とした需要家リソースの最適化
- タイヨウコウ ハツデン システム ガ ドウニュウ サレタ ハイデン ケイトウ ニ オケル キョウチョウテキ デンアツ カンリ オ モクテキ ト シタ ジュヨウカ リソース ノ サイテキカ
Search this article
Abstract
<p>This paper proposes an optimization method of demand resource capacities to manage the voltage in the distribution network with photovoltaic generations (PV). The proposed method is within the cooperative voltage management system based on the cooperative game theory in which an imputation in a non-empty core is guaranteed. In the proposed method, the optimization problem is formulated as a bi-level programming problem in which a leader, who is a distribution network operator, optimizes the demand resource capacities of consumers and followers, who are consumers in the distribution network, determine the amount of controlled resources under the optimized resource capacities. In order to solve the bi-level programming problem by a commercial solver efficiently, it is converted to a mixed-integer linear programming problem. The imputation in the core is computed based on a dual solution of the lower level problem. The proposed method is validated by computational experiments using a large scale distribution network model with multiple feeders and PVs.</p>
Journal
-
- Transactions of the Institute of Systems, Control and Information Engineers
-
Transactions of the Institute of Systems, Control and Information Engineers 33 (4), 110-122, 2020-04-10
THE INSTITUTE OF SYSTEMS, CONTROL AND INFORMATION ENGINEERS (ISCIE)
- Tweet
Keywords
Details 詳細情報について
-
- CRID
- 1390003825198185088
-
- NII Article ID
- 130007873295
-
- NII Book ID
- AN1013280X
-
- ISSN
- 2185811X
- 13425668
-
- NDL BIB ID
- 030367090
-
- Text Lang
- ja
-
- Data Source
-
- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
-
- Abstract License Flag
- Disallowed