在政府推動再生能源的發展下間接讓儲能設備的應用範圍更加 廣泛， 而一些偏鄉地區 也設置了由分散式發電與儲能設備 組 成的防災 型微電網作為緊急用電，但再生能源有發電不穩定之缺點，可能間接 導致該區域沒電可用，而本論文 旨在透過電力調度讓多個微電網可以 共同延長用電支撐時間 ，提出基於邊緣運算之互聯微電網 電力調度控 制策略，在儲存電力百分比數較高的微電網通過電力線給予電量給儲 存電力百分比數較低的微電網，並搭配需量管理在適當剩餘電量下進 行卸載動作，藉以達成在孤島狀態下整個互連微電網系統能維持更長 久的時間，並且採用邊緣運算架構讓整個互聯微電網系統死機的機率 降低 。 本文模擬採用美國國家儀器公司所開發之模擬軟體 Labview來 模擬本文電力調度策略的可行性。在實作部分，將演算法寫入由英國 樹莓派基金會開發的樹莓派 本文負載場域為位於中央大學內之 白色能源屋 ，使用 Python撰寫演算法，並最終驗證演算法之可靠性。;Under the government’s promotion of renewable energy development, the application range of energy storage equipment has been indirectly expanded. Some rural areas have also set up disaster-prevention microgrids composed of decentralized power generation and energy storage equipment as emergency power. However, renewable energy has the shortcomings of unstable power generation may indirectly lead to no electricity available in this area.This paper aims to allow multiple microgrids to jointly extend the power support time through power dispatch, and proposes an interconnected microgrid power dispatch control strategy based on edge computing.The microgrid with a higher percentage of stored electricity uses the power line to give electricity to the microgrid with a lower percentage of stored electricity, and it is used with demand management to perform offloading with appropriate remaining electricity to achieve the entire interconnected microgrid system in an island state. It can last longer, and the edge computing architecture is used to reduce the probability of crashes of the entire interconnected microgrid system. This paper uses the simulation software Labview developed by National Instruments to simulate the feasibility of this paper′s power dispatch strategy. In the implementation part, the algorithm is written into the Raspberry Pi 3B+ developed by the British Raspberry Pi Foundation, the operating system is Raspbian, the algorithm is written in Python, and the reliability of the algorithm is finally verified.
