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標題: | 使用者導向於動態共享價格機制之住商混和型社區需量反應電力管理系統 User-driven Demand-side Management in Mixed-use Community under Dynamic Sharing Price Mechanism using Particle Swarm Optimization |
作者: | Tzu-Han Huang 黃咨翰 |
指導教授: | 傅立成(Li-Chen Fu) |
關鍵字: | 需求端管理,住商整合社區,能源共享,粒子群聚演算法,智慧電網, Demand-side management,energy sharing,Mixed-use community,particle swarm optimization,smart grid, |
出版年 : | 2018 |
學位: | 碩士 |
摘要: | 近年來,能源議題受到的關注。在這個能源缺乏的年代,如何有效運用能源成為大家的首要目標。需求端管理(Demand-side management)的技術成為一個熱門的研究方向。在時間電價(Real-time pricing)的機制下,透過需求端管理能使用戶可以更加有效的使用能源。而電動車以及小型的住宅型發電裝置蓬勃發展也讓住宅社區可運用的能源選項更加多元。為了能夠更有效的使用能源,本論文提出一個整合住宅區與商業區的使用者的電力管理系統。透過整合用電習慣較為彈性的住宅區使用者以及用電習慣較為固定的商業區使用者,整體社區的用電品質及用電的效率可以得到顯著的提升。
另一方面,在混和型住商社區系統中,住宅型的用戶的生活需要被考量。本論文提出了一個演算法用來評估使用者的類型。並在住商用戶交易能源時,優先考量住宅區用戶的用電需求。 為驗證本論文之系統效能,本論文運行了兩種情境的模擬實驗。實驗結果驗證了系統確實提升了能源使用的效率且不同類型的使用者在本系統中也得到了電費支出的節省,達到雙贏的局面。 Demand-side management (DSM) is a very important topic in recent years thanks to the growth of Electric Vehicle (EV) and the renewable energy nowadays. DSM ability in a residential area has been improved a lot under the enforcement of real-time pricing (RTP) mechanism. In order to utilize the energy efficiency in a residential area and improve the energy quality in whole community. In this work, we aim to integrate the residential users and commercial users into one DSM system. By integrating them, we can utilize the energy more efficiency by sharing the surplus energy in a residential area to the commercial area. On the other hand, user comfort in residential user is important and need to be concerned in a DSM system. In this work, we propose a method to evaluate the user status in residential area. To make more that, the energy request in the residential area enjoys a high priority through the sharing process to guarantee the quality life of residential user. At the end, we evaluate our system by conducting experiments through evaluation in two scenarios. The experimental results reveal that the proposed DSM system has improved the energy efficiency in the entire community, and at the same time, the energy costs paid by both residential and commercial users are lowered. |
URI: | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/79052 |
DOI: | 10.6342/NTU201802951 |
全文授權: | 有償授權 |
電子全文公開日期: | 2023-08-21 |
顯示於系所單位: | 資訊工程學系 |
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ntu-107-R05922104-1.pdf 目前未授權公開取用 | 2.53 MB | Adobe PDF |
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