生態農業：農業地景生態監測及復育【森林學系/柳婉郁特聘教授】
| 論文篇名 | 英文：Optimal Sharing Energy of a Complex of Houses through Energy Trading in the Internet of Energy 中文：透過能源交易之最適分享能源評估研究 |
| 期刊名稱 | Energy |
| 發表年份,卷數,起迄頁數 | 2021, 220, no.119613 |
| 作者 | Lin, Chun-Cheng; Wu, Yi-Fang; Liu, Wan-Yu(柳婉郁)* |
| DOI | 10.1016/j.energy.2020.119613 |
| 中文摘要 | 為了提高分佈式可再生能源的利用率，減少對傳統電網的依賴，能源互聯網將智能電網與電池儲能係統和物聯網相結合，利用冗餘能源，實現用戶之間的能源共享。然而，很少有作品考慮從住宅社區規模在能源互聯網中共享能源。因此，本文構建了一個混合整數規劃模型，透過能源互聯網和能源交易平台實現住宅綜合體的最優能源共享，透過該模型，擁有可再生能源設施和電池儲能係統的房屋可以進行能源交易和共享。使整個住宅群的總利潤最大化。本文透過混合算法進一步解決了這個問題，找到最優解。此外，提出了解決方案修復方案，以保證算法過程中解決方案的可行性。該算法可以節省748.17kW的一天能耗，並轉移高峰負荷。 |
| 英文摘要 | To increase utilization of distributed renewable energy and decrease dependence on conventional electrical grids, the Internet of energy integrates smart grids with battery energy storage systems and the Internet of things to utilize redundant energy, so that energy can be shared among users. However, few works considered sharing energy in the Internet of energy from a residential community scale. Therefore, this paper constructs a mixed-integer programming model for the optimal sharing energy of a complex of houses through the Internet of energy with an energy trading platform, by which houses with renewable energy facilities and battery energy storage systems can trade and share energy so that the total profit of the whole complex of houses is maximized. This paper further solves this problem by a hybrid algorithm of harmony search and variable neighborhood search, which are good at finding optimal solutions through population search and individual search, respectively. Additionally, a solution repairing scheme is proposed to guarantee solution feasibility during the algorithm. Through simulation, this algorithm can save energy consumption of 748.17 kW for one day, and shift the peak load. On the average, each house can make a profit above 70¢ for one day. |
| 發表成果與本中心研究主題之相關性 | 符合研究主題：生態農業。 生態農業的永續發展，其中值得關注議題為能源，因此本研究主要建構能源交易來強化生態永續之基礎。 |
