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    Please use this identifier to cite or link to this item: http://ccur.lib.ccu.edu.tw/handle/A095B0000Q/421


    Title: 考慮設置組合因素之隨機分析方法用於配電系統饋線最大允許太陽能發電滲透率評估;A Stochastic Analysis Method with Considering Installation Combination Factor to Evaluate the Maximum Allowable Penetration Level of Photovoltaic Generation on Distribution System Feeders
    Authors: 林承緯;LIN, CHENG-WEI
    Contributors: 電機工程研究所
    Keywords: 智慧型變頻器控制;隨機分析法;太陽能承載容量;電壓變動;Smart inverter control;Stochastic analysis;Hosting capacity;power quality criteria
    Date: 2017
    Issue Date: 2019-07-17
    Publisher: 電機工程研究所
    Abstract: 由於環保意識的抬頭,再生能源已經成為各國重要的發展項目之一。政府開始推動利用再生能源來發電,使用再生能源來發電可以保護地球、減少二氧化碳的排放。在眾多的再生能源之中,太陽能發電是世界上其中一個快速發展的項目之一,然而隨著日益增加的太陽能發電源併入電力系統,評估太陽能發電的潛在風險越顯重要,因此迫切地需要相關研究來探討饋線的太陽能承載容量,即饋線能接受且不會違反系統正常操作的太陽能最大併網裝置容量。太陽能發電系統併聯在不同位置或者不同容量會對饋線造成不一樣的衝擊,因此電力公司必須做一些積極的工作來探討之。 本論文提出設置組合因素之隨機分析方法來評估當太陽能系統被併聯在不同位置和容量以決定配電饋線的太陽能承載容量。考慮到太陽能系統併聯位置和容量的不可預測性,因此使用隨機分析法搭配排列組合方式來決定太陽能系統在饋線上所有不同的併聯位置組合數,再來慢慢遞增太陽能系統的容量來探討饋線上的狀況,並在太陽能模型中加裝智慧型變流器以改善饋線電壓變動問題和提升承載容量。配電饋線衝擊狀況會參考台灣電力公司的再生能源併聯要點並探討過電壓、電壓變動率與三相不平衡率三項指標,當分析出饋線上所有的電壓衝擊狀況,便可得知不會危害饋線穩定度和安全性時最線最大允許的太陽能承載容量。 本文使用OpenDSS和MATLAB進行共同模擬。OpenDSS主要用來建構饋線模型和執行電力潮流分析。而MATLAB用來計算出太陽能系統不同的併聯位置和容量,接著透過COM介面把位置與容量訊息傳送給OpenDSS,再透過OpenDSS所建構太陽能模型進行電力潮流求解,最後再由MATLAB紀錄所需資訊並產生分析結果。關鍵詞:太陽能承載容量、隨機分析法、智慧型變頻器控制、電壓變動
    Owing to the increased environmental awareness grows in recent years. The government promotes the use of renewable energy to generate electricity. Using renewable energy to generate electricity can protect the earth and reduce carbon dioxide emissions. Among the numerous renewable energy sources, solar power is one of the rapid growth clean energy in the world. However, with the increasing number of solar power sources connected to the grid, it is increasingly important to evaluate the potential risks of solar power generation. So there is an urgent need for relevant research to do some work on hosting capacity of the feeder. The photovoltaic system will result to different impact when connecting at different sites or different capacity. Therefore, the power company must have to do something positive to discuss the issue. In this thesis, a stochastic analysis method with considering installation combination factor is use to evaluate the maximum allowable penetration level of photovoltaic generation on distribution system feeders. Consider the unpredictability of solar system connected sites and capacity for the reason that stochastic analysis with the combination factor is to use calculate total number of combinations of photovoltaic system, after that gradually increase the capacity of the photovoltaic system to explore the impact on the feeder. In addition, smart inverter strategy is adopted to improve the power quality and enhance the hosting capacity. The impact in distribution feeder will basis on the renewable energy connected rules of Taiwan power company for following criteria:overvoltage、voltage deviation and voltage unbalance. After getting all the voltage impact on the feeder, and we can know how amount capacity of photovoltaic system can be connected to the feeder and will not cause endanger to the grid. This thesis use OpenDSS and MATLAB co-simulation. The advantage of OpenDSS is to model the system and do the fast power flow calculation. It can not only run independently but also execute pass through COM interface and connect with other software. In this thesis, MATLAB is use to calculate different sites and different capacity of the photovoltaic system. After that pass the message to OpenDSS by COM interface to model the photovoltaic system and do the fast power flow calculation. Finally, MATLAB will collect needed data and depict.Keywords:Hosting capacity、Stochastic analysis、Smart inverter control、power quality criteria
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