研究生: |
黃俊瑋 Huang, Chun-Wei. |
---|---|
論文名稱: |
多階層模組電壓漣波與環流抑制最佳化研究 Optimization of Cell-Voltage Ripple and Circulating Current Suppression in Modular Multilevel Convertors |
指導教授: |
吳財福
Wu, Tsai-Fu |
口試委員: |
廖聰明
Liaw, Chang-Ming 鄭博泰 Cheng, Po-tai 潘晴財 Pan, Ching-Tsai 陳建富 Chen, Chien-Fu 林法正 Lin, Faa-Jeng |
學位類別: |
博士 Doctor |
系所名稱: |
電機資訊學院 - 電機工程學系 Department of Electrical Engineering |
論文出版年: | 2020 |
畢業學年度: | 108 |
語文別: | 英文 |
論文頁數: | 120 |
中文關鍵詞: | 直接數位控制法則 、模組電壓漣波抑制 、模組化多階層架構 、拉格朗日最佳化 、零平均電流控制命令注入法 |
外文關鍵詞: | Direct digital control algorithm, Cell-voltage ripple reduction, MMC, Lagrange optimization, Zero-mean current command injection |
相關次數: | 點閱:3 下載:0 |
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本論文之研究主題是設計消除漣波之諧波電流注入方程式,降低漣波污染電壓穩定性和避免諧波相互干擾。邇來,多階層模組轉換器為具可拓展性高功率應用的拓撲結構之一,其廣泛應用在高壓併網、直流傳輸、電力轉換系統,以及儲能設備場和再生能源發電站。現今,再生能源系統作為刺激能源轉換和減少溫室氣體排放的動力來源,已擘畫出綠色能源之發展藍圖。然而,現有的控制法則,無法精確地揭露出多階層模組轉換器固有特性。基於上述理由,本研究結合直接數位控制法所推導出之模組電壓數學表示式及能源相關成本函數中拉格朗日乘數演算法,用以分析漣波貢獻度,針對其漣波成分釐清振幅、頻率及角度變動量,據以設計出消除漣波之諧波電流注入方程式。在此設計法則下,找出一個可降低漣波影響之最佳注入策略,平衡諧波污染及傳導損失對系統穩定性之貢獻。
總而言之,本論文之主要貢獻概述如下:驗證了一個基於零平均電流注入法則,具有降低漣波影響系統電力品質之可行性。同時,提出了一個基於零平均電流控制命令最佳化,以確保多階層模組電壓漣波,上下臂電流擺動以及系統環流抑制之平衡策略。此外,本論文提出消除漣波之諧波電流注入模型,可以為間歇性電源智慧併網、消除諧波污染以及電驛保護協調的研究提供重要基礎。
本研究所提出的設計、控制和穩定度分析方法,已經由MATLAB Simulink的模擬和採用模組化多階層架構3 kW轉換器測試平台的實驗結果得到驗證。另外,此平台主要驗證我們所提出控制法的可行性,以測試模組電壓表示式、直接數位控制法則、降低模組電壓漣波與平衡模組電壓及環流抑制之影響。由於分析與實驗結果的吻合度,驗證在不同零平均電流組合注入法下有效抑制漣波的適用性。
關鍵字:直接數位控制法則、模組電壓漣波抑制、模組化多階層架構、拉格朗日最佳化、零平均電流控制命令注入法
This dissertation presents unique approaches to deriving cell-voltage expression in terms of arm currents, injected zero-mean current and duty-ratio control laws, on which cell-voltage ripple reduction and arm-current swing suppression can be achieved. Currently, Modular Multilevel Converter (MMC) is one of the most possible topologies for high power applications with scalability, which has been widely applied to high-voltage grid power injection, direct-current transmission, power transfer systems, energy storage yards and renewable energy generation stations. Nowadays, the renewable energy system is especially the source of momentum which stimulates energy transition and reduction of greenhouse gas emissions. However, its existing control schemes may not precisely reveal the inherent mannerism of MMCs.
This study is to optimize the cell voltage, arm current and circulating current of converter arms in MMC based on Lagrange multiplier of energy cost function and arm current tracking control law. Meanwhile, determination of the parameters of magnitude, frequency, and phase are due to the contribution analysis of the proposed cell-voltage ripple expression, and a harmonic current injection function in terms of this design method is proposed to reduce ripple influences on the power quality of MMC.
To sum up, the major contributions are summarized as follows: the practicality of the proposed methodology is demonstrated through a scene study and the unique ap-proach based on zero-mean current injection principle is also proposed to suppress the ripple effect under different current injection combinations. Meanwhile, a trade-off strategy among cell voltage, arm current swing and circulating current is proposed to select the optimal zero-mean current command injection combinations. Moreover, this article paved the way for a new research cornerstone of smart grid interconnection, eliminating harmonic pollutions, and relay coordination.
Simulated and experimental results from a 3 kW single-phase MMC have verified the functionality of the proposed control method, analysis and comprehensive discus-sion. The practicality of the proposed design method has been verified for different design scenarios in terms of the proposed cell-voltage expression, direct digital control, cell-voltage ripple reduction and trade-off cell-voltage and circulating current. Moreover, the analytical results have also been revealed to be in good accordance with experimental results, which confirms the applicability of injected effectiveness in ripple suppression analysis methods under different ZMCCI combinations.
Keywords: Direct digital control algorithm, Cell-voltage ripple reduction, MMC, La-grange optimization, Zero-mean current command injection
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