書誌事項
- タイトル別名
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- Modelling Analysis of Electric Vehicle Penetration Scenario using Dynamic Optimal Power Generation Mix Model with High Temporal Resolution
- コウジカン カイゾウドドウガクテキ サイテキ デンゲン コウセイ モデル ニ ヨル デンキ ジドウシャ フキュウ シナリオ ノ ブンセキ
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After the Fukushima nuclear accident, Japanese power generation planning needs to be rearranged reflecting on the technical movement in both power supply and demand sides; Fukushima nuclear accident has complicated the positioning of nuclear energy in Japan's long-term power generation mix due to its public acceptance and other associated issues such as nuclear waste management; the studies are more required about the maximum grid integration of variable renewables such as PV and wind power which are expected to potentially replace nuclear energy; in power demand side, an expected future introduction of electric vehicle (EV) and plug-in hybrid vehicle (PHEV) will have an impact on the grid management in electric power system. In this context, it is important to develop a computational tool to comprehensively analyze the optimal power generation mix and dispatch in a consistent way. This paper develops a dynamic high time-resolution optimal power generation mix model, as large-scale linear programming model with 18 million constraints and 8 million endogenous variables, and analyzes the optimal deployment of variable renewables (VR) and electric vehicles, considering the future possible nuclear scenario and CO2 regulation policy in Japan. As calculated optimal solutions, electric vehicle plays an important role to integrating variable renewable and treating the imbalance of VR surplus output.
収録刊行物
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- 電気学会論文誌Ｂ（電力・エネルギー部門誌）
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電気学会論文誌Ｂ（電力・エネルギー部門誌） 135 (1), 61-70, 2015
一般社団法人 電気学会
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詳細情報 詳細情報について
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- CRID
- 1390001204601220608
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- NII論文ID
- 130004869796
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- NII書誌ID
- AN10136334
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- ISSN
- 13488147
- 03854213
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- NDL書誌ID
- 026039763
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可