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Analysis on the Effects of Environmental Policies for Deregulated Electricity Market using Multi-Agent Model
http://hdl.handle.net/2261/28099
http://hdl.handle.net/2261/280998422c63a-75a0-4e32-bcc3-5f1d4b34b883
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
kan.pdf (1.2 MB)
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| Item type | 学位論文 / Thesis or Dissertation(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2011-08-08 | |||||
| タイトル | ||||||
| タイトル | Analysis on the Effects of Environmental Policies for Deregulated Electricity Market using Multi-Agent Model | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Deregulated electricity market | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Multi-agent | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Carbon tax | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Emission trading | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | CO2 free electricity trading | |||||
| 資源タイプ | ||||||
| 資源 | http://purl.org/coar/resource_type/c_46ec | |||||
| タイプ | thesis | |||||
| その他のタイトル | ||||||
| その他のタイトル | マルチエージェントモデルを用いた自由化された電力市場における環境政策の効果分析 | |||||
| 著者 |
Kan, Sichao
× Kan, Sichao |
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| 著者別名 | ||||||
| 識別子Scheme | WEKO | |||||
| 識別子 | 5693 | |||||
| 姓名 | カン（門構えに敢）, 思超 | |||||
| 著者所属 | ||||||
| 著者所属 | 工学系研究科 電気工学専攻 | |||||
| Abstract | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | Power generation by the combustion of fossil fuels is a major source of Greenhouse Gas (GHG) emissions.As a study shows that in fiscal year 2005, 38% of Japan’s CO2 emissions came from power generation [1].Therefore, how to mitigate the Greenhouse Gas (GHG) emissions from the power sector is critical to anation’s overall environmental achievement./ With no doubt that environmental regulations will rise generation cost. Policy makers have to make sure that the increased electricity price is within the range that is acceptable both by power companies and by customers, and meanwhile achieve the most CO2 emissions reduction. To achieve this goal is not easy, especially when facing a liberalized electricity market, making the problem more complicated. / In order to gain insights into the changes of electricity market due to certain environmental policies and to assess the effectiveness of the policies, this work employed a multi-agent based model to simulate the liberalized electricity market under environmental regulations./ In the first chapter we gave a brief introduction of the global warming by focusing on the global power generation sector. The current electricity market of Japan, based on which our simulation was conducted was also introduced in this chapter./ The description of the basic elements of our model was given in the second chapter. Our model was developed based on multi-agent with the suppliers modeled as self-adaptive agents using Reinforcement Learning algorithm./ In the third chapter, we developed the model to evaluate the Carbon Tax and the Emission Trading policies. From the simulation results, the changes of market performance with the increasing of environmental cost were discussed. And the effectiveness of these policies on CO2 emissions reduction was also investigated. The simulation of this chapter was based on the wholesale electricity market of Japan, which has been fully liberalized./ Based on the model in chapter 2, we built a model for assessing the CO2 free electricity trading in chapter 4. The pilot trading has been started in the JEPX (Japan Electric Power Exchange), so the simulation of this chapter was based on the JEPX. We discussed how the suppliers and the demander changed their actions after the introduce of the CO2 free market. In this chapter the results of our model were also be compared to the results got by using the least-cost approach./ At last in the fifth chapter was the conclusions of this study and the future works. | |||||
| 書誌情報 | 発行日 2009-03-23 | |||||
| 日本十進分類法 | ||||||
| 主題Scheme | NDC | |||||
| 主題 | 540 | |||||
| 学位名 | ||||||
| 学位名 | 修士(工学) | |||||
| 学位 | ||||||
| 値 | master | |||||
| 研究科・専攻 | ||||||
| 工学系研究科電気工学専攻 | ||||||
| 学位授与年月日 | ||||||
| 学位授与年月日 | 2009-03-23 | |||||
