由於再生能源與分散式電源的發展，微型電網成為近年來相當熱門的研究課題。本研究基於一微型電網，考量裝設太陽能、風力發電、柴油發電機與儲能電池搭配來供給微型電網的負載需求。在已知柴油四段式成本、再生能源發電量與負載量下，利用Matlab軟體內建的基因演算法與GAMS內建的IPOPT解法器，求得儲能電池充放電與柴油發電機放電排程以求最低燃油成本。最後考量實際情況，將線路損失加入到排程限制式中，使得求得的最低燃油成本更符合真實情況。

Due to emerging development of renewable resources and distributed generation, microgrid has become a popular topic in recent studies. This research focuses on the dispatch coordination inside a microgrid which consists of solar, wind, and diesel generations, supplemented by a battery storage system to supply the microgrid demand. Based on the four segments of the diesel fuel cost and forecast of renewable generation and demand, the optimal scheduling of energy management for battery storage system as well as diesel generation is carried out to minimize the diesel cost by both genetic algorithm written in MATLAB, and the IPPOT solver written in GAMS. Finally, line loss is included in the constrained formula to obtain the minima of diesel cost in order to make the optimal solution be more practical to the real microgrid condition.

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