輸電系統之最佳無效功率調度

Optimal Reactive Power Dispatch of Transmission Systems

李凱翔(Kai-Xiang Lee)

指導教授 ： 陳昭榮

國立臺北科技大學/機電學院/電機工程系所/碩士(2006年)

摘要

無效功率調度對於電力系統的運轉與規劃來說是相當重要的議題，而最佳的無效功率調度，是屬於多目標之最佳化函數問題。本文主要目標是使輸電系統中各匯流排電壓在合理的範圍、最小化輸電線有效功率損失與良好的電壓穩定度，避免因負載改變時或因偶發事故而造成電壓崩潰的現象，在電力系統安全性與降低成本中得到一最佳值。本論文提出應用粒子群優法演算法和基因演算法，並使用電力潮流分析，調度輸電系統中的無效功率，而粒子群優演算法和基因演算法，在求解非線性的離散解時，均能達到可能的最佳解，因此本文應用此兩種方法對輸電系統作最佳無效功率調度，並且使用IEEE 30-bus系統與實際台電系統作測試，比較此兩種方法的調度結果。且經由驗證與測試可知，本文所提出的方法可以得到不錯的效果，期望能夠協助調度人員作更正確、經濟且安全的調度。

關鍵字

最佳無效功率調度 ； 粒子群優演算法 ； 基因演算法

並列摘要

Reactive power dispatch is one of the major research topics in power system operation and planning. Optimal reactive power dispatch is one kind of multi-objective optimization problems. The goals of this thesis include voltage magnitude of load buses within reasonable region, reducing real power loss of transmission line, and good performance of voltage stability. They can avoid the risk of voltage collapse owing to load demand change or contingencies, get good voltage security and cost reduction. This thesis proposed two methods of particle swarm optimization and genetic algorithm to optimal reactive power dispatch of transmission systems, respectively. The advantage of these methods is to achieve near optimal solution for discrete nonlinear optimization problem. So this thesis simulates the proposed method for IEEE 30-bus power system and a practical Taipower system. The test results have proved that the proposed method can obtain the good performance. We wish that can help dispatchers to do more correct, economic, and secure dispatch.

並列關鍵字

Optimal Reactive Power Dispatch ； Particle Swarm Optimization ； Genetic

參考文獻

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