- 學位論文
使用累積元方法與免疫演算法之電力系統被動式濾波器規劃
Passive harmonic filter planning in a power system using cumulant method and immune algorithm
摘要
摘要 由於工業配電中，諧波汙染電力品質的問題日趨嚴重，現有許多研究均在探討被動式濾波器之規劃，以抑制諧波失真之問題。 電力系統的諧波電壓、電流及阻抗，實際上是具有不確定性特性的。若按照諧波電流最嚴重或其他情況的確定值來裝置諧波濾波器，其結果將不準確，亦或因此提高了對濾波器容量的要求，使所需費用增加，或是可能無法滿足抑制諧波之諸項要求。 本文考量諧波電流和阻抗具有時變特性，針對電力系統單一調諧被動式諧波濾波器的規劃，提出一套累積元解析模式和求解方法。在任何機率分佈狀況下，推定各隨機變數其定量化的累積元參數。接著運用基於95%累積機率限制規劃模型與自適應動態動態克隆演算法為基準之最佳化，以電容器安置成本最小化為目標，並滿足諧波標準限制值。 本文所提出電力系統被動式濾波器之規劃，以一個18個匯流排電力系統進行測試。由測試結果顯示，本研究提出的方法實屬可行，並能使電力系統諧波問題獲得有效的改善。
並列摘要
Abstract The power quality in the industry distribution system becomes deteriorated due to harmonic pollution. Many researches have been proposed for investigating the passive filter planning to reduce harmonic voltage distortion. The harmonic currents, impedance, and voltage in a power system are non-deterministic in nature. If the installation of passive filetrs is made according to the worst of harmonic current scenario, the results may be inaccurate. In addition, this may cause extra expenses or not satisfy harmonic standard. Considering the effects of time variations of harmonic current and impedance, this thesis presents a new approach for planning single-tuned harmonic passive filters in a power system with considering cumulant characteristics. In the proposed method, the quantitative parameters in cumulant are determined once any probability distribution is given. Next, we use the constrained programming model based on the 95% cumulative distribution function. The problem is solved by a Adaptive Dynamic Clone Selection Algorithm-based optimizer. The objective is to minimize the capacitor banks installation cost, while the harmonic standard limits are satisfied. An 18-bus system is used as a test system for showing the applicability of the proposed method. The results are investigated for examining performance of the proposed method.