| 研究生: |
王敬富 Wang, Ching-Fu |
|---|---|
| 論文名稱: |
臺灣2030年再生能源發電不同情境下電網壅塞分析 Analysis of grid congestion under different scenarios of renewable energy generation in Taiwan 2030. |
| 指導教授: |
張簡樂仁
Chang-Chien, Le-Ren |
| 學位類別: |
碩士 Master |
| 系所名稱: |
電機資訊學院 - 電機工程學系 Department of Electrical Engineering |
| 論文出版年: | 2023 |
| 畢業學年度: | 111 |
| 語文別: | 中文 |
| 論文頁數: | 79 |
| 中文關鍵詞: | 2030年高再生能源 、輸電線壅塞 、整合資源規劃 |
| 外文關鍵詞: | High Renewable Energy in 2030, Transmission Line Congestion, Integrated Resource Planning |
| 相關次數: | 點閱:54 下載:14 |
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臺灣邁向2050年淨零碳排路徑中,在2030年需達到再生能源27~30%、燃煤20%、燃氣50%的目標,未來將會有大量再生能源併入現有電網,可想而知目前的電網架構將會面臨前所未有的挑戰。藉由整合資源規劃的方式進行再生能源的估算與模擬,得出符合現階段社會需求與電業排程的推估值,將此結果選出一年中最具代表性的六週執行電網分析,由此得知各燃料別機組的出力狀況,以及輸電線的壅塞情形與成因,接著提出一套方式來評估擴增壅塞線路的必要。在模擬電網的過程中,本論文發現鄰近離岸風電的電網較常發生線路壅塞,需要針對壅塞線路做適當的擴線處理,並且由已擴增線路的模擬驗證紓解壅塞的效應。
In Taiwan's pursuit of achieving net-zero carbon emissions by 2050, the generation portfolio for 2030 includes 27-30% renewable energy, 20% coal, and 50% natural gas. However, integrating more renewable energy into the power grid poses significant challenges to the current infrastructure. To address this issue, integrated resource planning is used to estimate and simulate renewable energy generation in order to meet social demands and industry schedule. To analyze the power grid output of different fuel types and identify congestion in transmission lines, a representative six-week period is selected. The findings from these simulations reveal that line congestion frequently occurs near offshore wind farms. Consequently, it becomes necessary to expand these congested lines appropriately. In light of this need for expansion, a method is proposed to assess the extent of expansion required for congested lines. Further simulations are conducted to validate the effectiveness of expanding these lines in relieving congestion.
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