台電高佔比再生能源併入下輸電系統壅塞分析與視覺化介面開發;Visualization-based congestion analyses for Taiwan’s transmission system after integrating a large amount of renewable energy

[[abstract]]因應全球再生能源發電比例日益提高，電網的結構變化和傳輸網路的壅塞在許多國家中受到相當的重視。我國政府提出的能源政策為2025年離岸風電裝置容量達到3GW，與傳統發電廠相比，再生能源出力具有隨機波動的特徵，勢必對電網造成一定的衝擊，其中一個主要的影響是造成傳輸網路的線路流量過載。因此，在高占比再生能源併網前後了解系統目前的傳輸瓶頸是重要的。本文使用台灣電力系統參數進行模擬不同季節、不同時段下既有的電力系統傳輸線路瓶頸，以及未來在台灣西部沿海變電所併入離岸風力發電與西部各縣市併入太陽能發電的情境分析，包含可能壅塞線路的評估。為避免線路壅塞導致再生能源無法傳輸至用戶，若能即時處理未來大量再生能源併入電網後的線路壅塞，必能提高能源使用效率，並建立一個友善的併網環境，將其模擬結果提供給系統規劃參考。此外，本研究初步構構一個台電輸電系統視覺化介面，藉此可清楚地呈現輸電線路壅塞瓶頸，供系統規劃與調度人員參考。 With the increase of installed capacity of renewable energy, the transmission expansion and line congestions play the vital role in many countries. According to the data from Industrial Technology Research Institute (ITRI), in 2025, the target of total capacity for offshore wind farm in Taiwan will be around 3 GW. Compared to conventional power plants, renewable power output has random and fluctuant characteristics. Additionally, the existing power grids would have insufficient capacity to transfer those additional renewable energies, which increases the risk of the overload on the transmission lines. Transmission congestions would increase system operation cost and waste nature resources. Therefore, it is significant to identify transmission bottlenecks before and after a large scale of renewable energy integration in advance. In this thesis, the data of generation and load recorded by Taipower was utilized to investigate the possible transmission congestions. Moreover, various scenarios analyses by considering different renewable energy integrations were implemented. The result of this thesis can provide a reference which can help system operators to establish a friendly environment for renewable energy integration and to avoid high transmission cost caused by line congestions. Additionally, this thesis developed a visulization interface for the Taiwan transmission system. It can present the congestion bottlenecks clearly and provide a reference to system planners and operators