基於韌性指標應用於聚落式微電網最佳化調度策略

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姓名

李俊緯(Chun-Wei Lee) 查詢紙本館藏

畢業系所

電機工程學系

論文名稱

基於韌性指標應用於聚落式微電網最佳化調度策略
(Optimal Dispatching Strategy for Modular Rundling Microgrid Based on System Resilience Index)

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摘要(中)

隨著電網的快速發展，技術的更迭以及再生能源的推廣，使微電網的概念越來越普及在大眾眼中，為了提升微電網的效益除了不斷增大儲能和發電量，將各個微電網互聯也是解決方法之一，但多微電網的管理會是能不能更好運用的困難點。本文提出模組化聚落式微電網架構，對於多微電網的管理進行責任分屬，在本質不變的情況下讓微電網發揮一加一大於二的功用，在聚落當中由一個微電網做為聚落核心，並控制該聚落中的任一微電網的電力調度策略，以關鍵負載能維持運轉的時數為預留儲能系統電量的依據，聚落核心會依據聚落中的可調度電源調整聚落的拓樸結構，並透過提出的韌性指標以及成本的量化數據供用戶能直觀的看到微電網的運行效益。透過層次分析法計算多目標權重並運用在最佳化演算法混合聚落動態拓樸結構和充放電狀態，使微電網的效能能控制在用戶希望的目標水準，本文利用MATLAB進行模擬，並在中央大學驗證，觀察本文提出以韌性指標為目標的效益，最後對結果做結論並分析未來研究方向。

摘要(英)

With the rapid development of the power grid, technological advancements, and the promotion of renewable energy, the concept of microgrids has become increasingly popular among the public. To enhance the efficiency of microgrids, aside from continually increasing storage and generation capacity, interconnecting various microgrids is also one of the solutions. This paper proposes a Modular Rundling Microgrid (MRM) architecture to manage multiple microgrids by distributing responsibilities. This approach allows microgrids to achieve one plus one equal three. In each Rundling, one microgrid acts as the core, controlling power dispatching strategy within the Rundling. The reserve energy capacity of the storage system is based on the hours of operation for critical loads. The Rundling core adjusts the topology of the Rundling based on dispatchable power sources and uses proposed resilience index and cost data to provide users with the microgrid′s operational efficiency. By calculating multi-objective weights through the Analytic Hierarchy Process (AHP) and applying them in an optimization algorithm that mixes Rundling dynamic topology structures and charge/discharge states, the performance of the microgrid can be controlled to meet user-defined target levels. The paper uses MATLAB for simulation, and observes the benefits of the proposed resilience-index-based scheduling. Finally, verify its feasibility in the actual field at Central University and concludes by analyzing the results and discussing future research directions.

關鍵字(中)

★ 聚落式微電網
★ 動態拓樸結構
★ 韌性指標
★ 電力調度策略

關鍵字(英)

★ Rundling Microgrids
★ Dynamic Topology Structures
★ Resilience Index
★ Power Dispatching Strategy

論文目次

論文摘要 I
ABSTRACT II
致謝 III
目錄 IV
圖目錄 VIII
表目錄 XVII
第一章緒論 1
1-1研究背景與動機 1
1-2 文獻探討 3
1-3 論文大綱 4
第二章微電網電力調度架構 5
2-1 微電網系統架構 5
2-1-1 併網狀態之微電網系統架構 5
2-1-2 孤島狀態下的微電網系統架構 8
2-1-3 MRM微電網系統架構 9
2-2 電力調度之資料處理架構 13
2-2-1 集中式運算架構 13
2-2-2 分散式運算架構 14
2-2-3 MRM架構之通訊運算架構 15
第三章 MRM架構之能源管理調度策略 17
3-1 微電網運作之成本規劃 17
3-1-1 儲能系統 17
3-1-2 太陽能系統 21
3-1-3 市電成本 22
3-2 韌性指標計算 23
3-2-1 功率型指標 24
3-2-2 能量型指標 26
3-2-3 整合能量型和功率型指標之韌性指標計算 32
3-3 MRM系統最佳化調度 33
3-3-1 最佳化目標函式 35
3-3-2 透過層次分析法設計目標函式 38
3-3-3 混合整數型粒子群最佳化演算法 43
3-4 MRM能源管理系統 52
3-4-1 儲能系統預留能源 53
3-4-2 負載分級策略 57
3-4-3 聚落能量型指標 60
3-4-4 儲能系統輸出上下限 60
3-4-5 電力調度命令控制 61
第四章聚落式微電網之能源管理調度結果 63
4-1 實驗場域之微電網介紹 63
4-2 模擬情境一:正常運行 69
4-2-1 本文方法預留SAIDI時間 70
4-2-2 本文方法預留三十分鐘 75
4-2-3 成本最佳化預留SAIDI時間 80
4-2-4 成本最佳化預留三十分鐘 84
4-3 模擬情境二:市電切離一小時 89
4-3-1 本文方法預留SAIDI時間 89
4-3-2 成本最佳化預留SAIDI時間 93
4-3-3 成本最佳化預留三十分鐘 99
4-4 模擬情境三:市電切離四小時 105
4-4-1 本文方法預留SAIDI時間 105
4-4-2 成本最佳化預留SAIDI時間 108
4-4-3 成本最佳化預留三十分鐘 112
4-5 場域驗證一:正常運行 117
4-6 場域驗證二:市電切離90分鐘 122
第五章結論與未來研究方向 127
5-1 結論 127
5-2 未來研究方向 128
參考文獻 130

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指導教授

陳正一(Cheng-I Chen)

審核日期

2024-8-12

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