以自適應性為基礎之遞迴式最小二乘方法應用於配電型靜態同步補償器設計;Design of Distribution Static Synchronous Compensator Based on Adaptive Recursive Least Square Algorithm

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Title:	以自適應性為基礎之遞迴式最小二乘方法應用於配電型靜態同步補償器設計;Design of Distribution Static Synchronous Compensator Based on Adaptive Recursive Least Square Algorithm
Authors:	林羿良;Lin, Yi-Liang
Contributors:	電機工程學系
Keywords:	配電型靜態同步補償器;自適應性理論;遞迴式最小二乘方;Dstatcom;Adaptive Linear Filtering (ADALINE);RLS algorithm
Date:	2017-08-02
Issue Date:	2017-10-27 16:12:31 (UTC+8)
Publisher:	國立中央大學
Abstract:	本文旨在模擬實現配電型靜態同步補償器 (Distribution Static Synchronous Compensator，Dstatcom)以改善共耦合端因負載造成的電力品質問題，藉由不同的控制策略來分析負載電流，並推算出理想的目標電流參考量，最後藉由電流控制技術，產生脈波寬調變訊號送至三相二階變流器對共耦合端進行補償。傳統是使用瞬時虛功理論做為控制策略，但此控制策略無法有效改善電流不平衡的問題，透過使用自適應性理論能有效改善這個問題，傳統自適應性理論是透過最小均方法進行權重更新，不過發現這樣的權重更新方式在穩態下有震盪現象，因此本文使用另一套權重更新方式發現相較於最小均方法其暫態響應更好，同時在穩態時能得到更精確且穩定的權重。透過進行各種狀況的模擬實驗，觀察各種方法的補償效果，並同時凸顯本文方法的優勢。 ;The goal of this thesis is to show the improvement of the power quality which sometimes distorted by various load with DSTATCOM (Distribution Static Synchronous Compensator). We use different control strategies to analyze load current and calculate the ideal reference current. Once we calculate the reference current, we use PWM Technique to generate compensation current which generated by three phase two-level inverter. Instaneous Power Theory is a traditional control strategy which is uncapable of dealing with the unbalance current situation. ADALINE theorem is a ideal way to solve this problem. LMS algorithm is traditionaly used for updating weight of Adaline theorem. However we discover that there is unstable steady stae by using LMS algorithm. As a result, another algorithm presented in this thesis is applied to deal with. After doing lots of experiement we discover the algorithm presented in ths paper has better performane in both transient state and steady state. Finally, we do all kinds of experiement to see the the performance based on aboved-mentioned three different strategies mentioned above. Beside we work hard to show the adavantage of the algorithm presented in this thesis.
Appears in Collections:	[Graduate Institute of Electrical Engineering] Electronic Thesis & Dissertation

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