中大機構典藏-NCU Institutional Repository-提供博碩士論文、考古題、期刊論文、研究計畫等下載:Item 987654321/77776
English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 80990/80990 (100%)
造訪人次 : 41742951      線上人數 : 1419
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋


    請使用永久網址來引用或連結此文件: http://ir.lib.ncu.edu.tw/handle/987654321/77776


    題名: 應用於三相不平衡負載電流補償之智慧型太陽光電發電系統;Intelligent Photovoltaic Power System with Three-Phase Unbalanced Load Current Compensation
    作者: 賴煜凱;Lai, Yu-Kai
    貢獻者: 電機工程學系
    關鍵詞: 太陽光電發電系統;交錯式直流至直流轉換器;三階層中性點箝位變流器;智慧型變流器;不平衡電流補償;補償模糊類神經網路;非對稱歸屬函數
    日期: 2018-08-21
    上傳時間: 2018-08-31 14:55:58 (UTC+8)
    出版者: 國立中央大學
    摘要: 本論文提出一個在不增加主動式電力濾波器的情況下補償三相不平衡電流之智慧型雙級太陽光電發電系統。太陽光電發電系統由一個交錯式直流至直流轉換器與一個三階層中性點箝位變流器所組成。此外,太陽光電發電系統具有智慧型變流器功能,其中太陽光電變流器的輸出實、虛功是根據電力法規所要求的功率因數所預先設定的。在所提出的方法中,透過低通濾波器獲得 軸補償電流以補償饋入電網的三相不平衡電流。此外,為了提高太陽光電發電系統在不平衡負載變動情況下的直流鏈電壓的控制性能,本文提出了一種線上學習的非對稱補償模糊類神經網路,用來取代傳統的比例積分控制器用於直流鏈電壓控制。在所提出的非對稱補償模糊類神經網路中,將模糊系統的悲觀和樂觀操作互相結合產生的補償參數加入到補償模糊類神經網路中,並且採用非對稱型高斯函數為非對稱歸屬函數以增加訓練維度。另外,所提出的太陽光電發電系統的控制器,透過使用數位訊號處理器的兩個控制平台來實現。最後,從模擬與實驗結果可以看出在三相不平衡負載下,補償饋入電網之三相不平衡電流的優良性能。;A improved method is proposed to compensate the three-phase unbalanced currents of power grid under three-phase unbalanced load for a two-stage photovoltaic (PV) power system without the augmentation of active power filter (APF). The PV power system is composed of an interleaved DC/DC converter and a three-level neutral-point clamped (NPC) inverter. Moreover, the PV power system possesses the smart inverter function, in which the output active and reactive powers of the PV inverter are predetermined by a power factor according to grid codes of the utilities. In the proposed method, -axis compensation currents are obtained through low pass filters (LPFs) to compensate the three-phase unbalanced currents of power grid. Furthermore, in order to improve the control performance of the DC bus voltage of the PV power system under unbalanced load variation condition, an online trained compensatory neural fuzzy network with an asymmetric membership function (CFNN-AMF) is proposed to replace the traditional proportional-integral (PI) controller for the DC bus voltage control. In the proposed CFNN-AMF, the compensatory parameter to integrate pessimistic and optimistic operations of fuzzy systems is embedded in the CFNN. In addition, the dimensions of the Gaussian membership functions are directly extended to AMFs. Additionally, the proposed controllers of the PV power system are implemented by two control platforms using floating-point digital signal processor (DSP). Finally, excellent compensation performance for the three-phase currents of power grid under three-phase unbalanced load can be achieved from the experimental results.
    顯示於類別:[電機工程研究所] 博碩士論文

    文件中的檔案:

    檔案 描述 大小格式瀏覽次數
    index.html0KbHTML219檢視/開啟


    在NCUIR中所有的資料項目都受到原著作權保護.

    社群 sharing

    ::: Copyright National Central University. | 國立中央大學圖書館版權所有 | 收藏本站 | 設為首頁 | 最佳瀏覽畫面: 1024*768 | 建站日期:8-24-2009 :::
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 隱私權政策聲明