臺灣能源期刊發行
- 創刊日期：
102年11月30日
- 發行所：
經濟部能源署
- 發行人：
李君禮
- 地址：
台北市復興北路2號13樓
- 電話：
02-2772-1370
- 執行單位：
財團法人工業技術研究院
- 地址：
新竹縣竹東鎮中興路四段195號26館
- 服務專線：
03-5916006
- 服務信箱：
- 總編輯：
劉志文胡均立
- 顧問：
王漢英童遷祥
- 執行主編：
劉子衙陳志臣
- 編輯委員：
方良吉王錫福朱家齊李堅明李叢禎林師模馬鴻文陳希立廖芳玲廖肇寧劉文獻蕭志同顧洋(依筆畫順序排列)
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臺灣能源期刊論文全文
臺灣能源期刊第12卷第2期內容
出刊日期：June, 2025
- 題目
- 混合通訊與能耗傳輸應用之低碳微電網
- Title
- Applications of Low-Carbon Microgrids Integrated with Hybrid Communication and Energy Transmission Technologies
- 作者
- 黃俊瑋、謝男凱、趙志庭、商瓈丹
- Authors
- Chun-Wei Huang, Nan-Kai Hsieh, Chih-Ting Chao, Li-Dan Shang
- 摘要
- 隨著物聯網設備普及與電網併網需求增加，混合通訊技術逐漸成為實現即時電力訊號共享與設 備間高效協作的關鍵解決方案。該技術透過整合5G、4G、Wi-Fi等多種通訊方式，依據主幹網路與 備援通道的分工協作，從而優化電力調度與能耗管理。分散式微電網藉由能源管理系統進行智慧調 度監控，不僅有效降低對傳統化石能源的依賴，最大化可再生能源的利用，促進低碳運行。然而， 建立實體通訊線路連接分散式電網會增加網路架構複雜性與建置成本，進而可能導致電力數據封包 遺失、開關誤動作、設備額外碳排放以及負載波動等問題。本研究通過早期壅塞偵測技術，區分高 授權之數據封包，並運用高速5G的通訊傳輸網路，來增加網路佈建彈性，探討通訊延遲、資料封 包遺失與電力碳排放對低碳微電網的控制與運轉所產生的影響。透過本研究設計量化模型定義通訊 延遲與封包遺失對控制偏差的影響，結合混合通訊網路指標，證實資料壅塞點往往對應著能源耗損 點、多碳排放強度熱點與故障發生點，不僅影響數據傳輸效率，更直接關聯到電網的能源使用與碳 排放水平。此外，結合多節點邊緣運算技術，能使數據在本地端即時運算處理，有效降低傳輸延遲 並提升資料安全，從而滿足電網對於低延遲高可靠通訊的嚴苛要求。這些創新措施不僅推動了電力 系統的數位轉型，也為全球邁向淨零排放目標下的智慧電網提供邁進的方向。
- 關鍵字
- 分散式電網，邊緣運算，即時監控與傳輸，壅塞控制
- Abatract
- With the proliferation of IoT devices and the increasing demand for grid-connection, hybrid communication technologies have emerged to facilitate real-time power signal sharing and efficient inter-device collaboration. By integrating multiple communication methods, such as 5G, 4G, and Wi-Fi, and leveraging a structured division of roles between backbone networks and backup channels, thereby optimizing power dispatching and energy consumption management. Distributed microgrids through energy management systems leverage in carbon emission reduction. These systems significantly mitigate reliance on fossil fuels while optimizing the integration of renewable energy sources to achieve higher efficiency and sustainability. However, the communication network architecture connected to distributed grids is an intricate and higher cost investigation. These challenges can result in issues such as data packet loss, switch malfunctions, additional carbon emissions from equipment, and load fluctuations. This study employs early congestion detection techniques to differentiate high-priority data packets and leverage high-speed 5G communication networks to enhance network deployment flexibility. It explores the impact of communication delays, data packet loss, and carbon emissions on the control and operation of low-carbon microgrids. A quantitative modeling framework is designed to define the influence of communication delays and packet loss on control deviations, integrating hybrid communication network metrics. The research establishes three key indicators: congestion indicators, data prioritization, and green energy utilization. The findings confirm that congestion points in data transmissiong frequently correspond to energy consumption hotspots, high carbon emission intensity zones, failure-prone locations. Moreover, the degradation of communication performance not only compromises data transmission efficiency but directly influences energy consumption and carbon emissions within the power grid. Additionally, the integration of multi-node edge computing enables real-time local data processing, effectively reducing transmission latency and enhancing data security. This approach satisfies the stringent requirements of power grids for low-latency and high-reliability communication. These innovations contribute significantly to the digital transformation of power systems and provide a strategic direction for the development of smart grids aligned with global net-zero emission targets.
- Keywords
- Distributed grid, congestion control, edge computing, real-time monitoring, 5G/4G network.