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エネルギー供給システムの 設計と運用の階層的関係を考慮した最適化 (運用を考慮した期間クラスタリングによるモデル縮約)

Optimization of Energy Supply Systems in Consideration of Hierarchical Relationship Between Design and Operation (Model Reduction by Clustering Periods in Consideration of Operation)

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  • To attain the highest performance of energy supply systems, it is necessary to determine design specifications optimally in consideration of operational strategies corresponding to seasonal and hourly variations in energy demands. Mixed-integer linear programming (MILP) methods have been applied widely to such multi-period optimal design problems. A hierarchical MILP method has been proposed to solve the problems very efficiently. In addition, by utilizing features of the hierarchical MILP method, a method of reducing model by clustering periods has also been proposed to search design solution candidates efficiently in the relaxed optimal design problem at the upper level. In this paper, by utilizing features of the hierarchical MILP method, a method of clustering periods is proposed based on the optimal operational strategies of energy supply systems obtained by solving the relaxed optimal design problem. As a case study, the method is applied to the optimal design of a gas turbine cogeneration system, and it is clarified that the method is effective to enhance the computation efficiency in comparison with a conventional method of clustering periods regularly.

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Metadaten
Author:Kotaro Takeuchi, Ryohei Yokoyama, Yuji Shinano, Tetsuya Wakui
Document Type:Article
Parent Title (Japanese):エネルギー・資源学会第35回エネルギーシステム・経済・環境コンファレンス講演論文集
First Page:169
Last Page:174
Year of first publication:2019
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