研究生: |
楊念哲 Nien-Che Yang |
---|---|
論文名稱: |
節約能源及再生能源應用之微型電網分析技術 Microgrid Analysis Techniques for Energy Conservation and Renewable Energy Applications |
指導教授: |
陳在相
Tsai-Hsiang Chen |
口試委員: |
陳朝順
Chao-Shun Chen 陳建富 Jiann-Fuh Chen 劉志文 Chih-Wen Liu 楊金石 Jin-Shyr Yang 張宏展 Hong-Chan Chang 吳瑞南 Ruay-Nan Wu 辜志承 Jyh-Cherng Gu |
學位類別: |
博士 Doctor |
系所名稱: |
電資學院 - 電機工程系 Department of Electrical Engineering |
論文出版年: | 2010 |
畢業學年度: | 98 |
語文別: | 英文 |
論文頁數: | 162 |
中文關鍵詞: | 分散型發電 、配電系統 、配電變壓器 、節約能源 、功率損失估算 、基因演算法 、微型電網 、再生能源 、三相電力潮流 |
外文關鍵詞: | Distributed generation, Distribution system, Distribution transformer, Energy conservation, Energy loss evaluation, Genetic algorithm, Microgrid, Renewable energy, Three-phase power flow |
相關次數: | 點閱:410 下載:23 |
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本論文主旨在研究節約能源及再生能源應用之微型電網分析技術。首先,推導配電系統主要元件之等效數學模型。第二,提出兩種簡單且高效率,可應用於不平衡輻射型配電系統之三相電力潮流分析法。所提出之電力潮流分析法分別以支路架構及迴路架構為基礎。所提出之電力潮流分析法,利用等效注入電流技巧,簡化三相不平衡、非線性且複雜之配電系統模擬問題。
第三,提出兩種可應用於建築屋內支路或饋線之損失估算法。所提出之損失估算法,可將各設備隨時間及季節變動之實、虛功消耗行為納入考慮。十六條日負載曲線分別表示四季典型工作日與非工作日之負載變動特性,其中八條表示日實功率消耗,另外八條表示日虛功率消耗。第一種所提出之損失估算法係為詳細電力潮流分析法。詳細電力潮流分析法不只可應用於損失評估,亦可應用於每日、每週、每月或每年的系統電氣特性之估算。第二種高效率且夠精確之損失估算法,僅利用算術運算,但考慮建築屋內支路沿線所有設備之位置及特性,使所提出之簡化估算法兼具效率與準確性。
第四,提出建築配電系統之耗能分析及節能設計方法,並針對傳統單相三線式系統改由單相四線式系統取代之低壓配線系統整體效益進行討論。最後,則提出以雙基因演算法為基礎之最大可併網分散型電源容量評估法。所提出之方法可用於處理配電系統運轉狀態之不確定性。本論文各項成果將有助於建築節能與再生能源應用之推廣。
The main purpose of this dissertation is to investigate the microgrid analysis techniques for energy conservation and renewable energy applications. First, the equivalent models of major components of a distribution system are derived. Second, two simple but more powerful three-phase power flow analysis algorithms for unbalanced radial distribution systems are proposed. These two proposed power flow methods are based on the branch frame of reference and loop frame of reference, respectively. In the proposed algorithms, the equivalent injected currents as well as the resistance, capacitance and inductance are used to model the system elements to simplify the simulation problem of a three-phase, nonlinear, unbalanced and complicated distribution system.
Third, two energy loss evaluation approaches for branch circuits of feeders of a home or a building are proposed. The time-to-time and season-to-season changes in active and reactive power consumptions for each appliance are considered. Considering that daily load curves are quite different for weekdays and weekends, and also different for different seasons, sixteen daily load curves are created to represent the daily power consumption characteristics for each kind of appliance, eight for daily active and another eight for reactive power consumption. The first proposed method is a detailed power flow solution approach applied to energy loss evaluation for branch circuits or feeders by considering the characteristic of discrete loads along the circuits. The detailed power flow solutions cannot only be applied to assess the energy loss, but also to evaluate the system quantities during a day, week, month or year. The second proposed method is an efficient and accurate enough method for evaluating the energy loss of discrete loads along the circuits. Using only arithmetic calculations but considering the locations and characteristics of all connected appliances along the circuits of a home or building, makes the proposed method efficient and accurate enough.
Forth, the methods of energy consumption analysis and an energy-saving design in building distribution systems are proposed. The benefits of the low voltage wiring systems of the traditional single-phase three-wire systems replaced by single-phase four-wire systems are discussed. Finally, a dual genetic algorithm-based approach to evaluate the maximum allowable DG capacity is proposed. The proposed approach is adopted to deal with uncertainty problems of distribution system operating states. The results of this dissertation are of value to promote the building energy conservation and renewable energy applications.
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