結合可行方向法與基因演算法於濾波器之最佳規劃

Applying the Combined Feasible Direction Method and a Genetic Algorithm to Optimal Planning of Harmonic Filters Considering Uncertainty Conditions

張英彬(Ying-Pin Chang) ； 吳啟瑞(Chi-Jui Wu)

《技術學刊》 20卷1期 (2005/03) Pp. 43-56

https://doi.org/10.29507/JT.200503.0006

摘要

本文提出結合可行方向法與基因演算法，探討大容量被動式諧波濾波器之最佳規劃問題。在豐富諧波電流源情況下，所提方法可獲得濾波器之最佳方案，並可避免系統諧波放大問題。濾波器最佳規劃是以電壓總諧波失真與電流諧波總需量失真爲最小，並考慮濾波器損失、虛功率補償與各次諧波限制條件。爲避免濾波器引發並聯共振產生諧波放大現象，於調諧點以下之諧波電流限制條件爲管制標準1/3。爲驗證所提方法之有效性，實際應用在某一負載爲18脈波整流器化工廠，並比較三種諧波濾波器設計方案。最後，以目標函數期望值及標準偏差反映濾波器參數失調、負載不確定性與系統阻抗變動的效應。

關鍵字

電力品質 ； 電力諧波 ； 諧波濾波器 ； 最佳化 ； 基因演算法 ； 可行方向法

並列摘要

This paper presents an approach combining the feasible direction method and a genetic algorithm (FDM+GA) to investigate the planning of large-scale passive harmonic filters. The optimal filter scheme can be obtained for a system with abundant harmonic current sources where harmonic amplification problems should be avoided. The objective is to minimize the total demand distortion of harmonic currents and total harmonic distortion of load bus voltages. Filters loss, reactive power compensation, and constraints of individual harmonics can be considered in the design procedures. The constraints of harmonics with orders lower than the filter tuned-points have been set stricter, by one third, to avoid amplifying non-characteristic harmonics. The searching for an optimal solution has been applied to the harmonic problems in a chemical plant, where three 6-pulse rectifiers are used. Three design schemes are compared to demonstrate the performance of the proposed method. Finally, expectations and standard deviations of objective functions are used to present effects of filter parameter detuning, loading uncertainty, and changing of system impedance.

並列關鍵字

power quality ； harmonic filter ； optimization ； genetic algorithm ； feasible direction method