應用田口─基因演算法於有效─無效功率調度最佳化

Optimal Active-Reactive Power Dispatch Using a Hybrid Taguchi-Genetic Algorithm

盧乃彥(Nai-Yen Lu)

指導教授 ： 陳昭榮

國立臺北科技大學/電資學院/電機工程系研究所/碩士(2012年)

https://doi.org/10.6841/NTUT.2012.00446

摘要

本論文提出一新演算法於電力系統有效─無效功率之最佳化調度。過去許多研究分別探討有效功率之最佳化調度即經濟調度，和無效功率之最佳化調度，即最佳電力潮流。本文提出以智慧型控制方法，來整合兩者之最佳化，期達到更完整之最佳化。目標函數是將無效功率調度中之最小輸電線損失，與有效功率最佳化之最小燃料成本，藉由加權值合成一多目標函數。
本研究主題在整體考量最佳化之最大難題為控制變數太多，使得不易得到最佳解；因此，本論文提出以田口─基因演算法來求解。藉由本方法所具有減少求解次數、容易獲得整體最佳解之特點來獲得最佳化；並以IEEE 30-bus之系統來驗證其功效。

關鍵字

有效功率調度 ； 無效功率調度 ； 基因演算法 ； 田口方法

並列摘要

This paper presents a new approach to solve optimal active-reactive power dispatch problem in power systems by using a hybrid Taguchi-genetic algorithm. In the past researches, the active power dispatch and the reactive power dispatch are discussed separately. As a result, an intelligent control method is proposed to integrate theses two dispatch into one optimal power dispatch simultaneously in order to obtain a more complete optimization. The objective function combine with minimizing the fuel cost, which is associated with the economic dispatch, and reducing the real power loss in the transmission line, which is associated with the reactive power dispatch, by using weight values.
In this paper, it is too difficult to obtain an optimal solution because of considering lots of variables at the same time. Therefore, a hybrid Taguchi-genetic algorithm is proposed to solve the problem by using the orthogonal array and the SNR(sinal-to-noise ratio). The proposed approach has been verified on IEEE 30-bus 6-generator system. The results are also compared with other approaches and it shows that the solution to active-reactive dispatch problem is better.

並列關鍵字

Optimal Power Dispatch ； Genetic Algorithm ； Taguchi Method

參考文獻

[1] K. Y. Lee, Y. M. Park, and J. L. Ortiz, "A united approach to optimal real and reactive power dispatch," IEEE Transactions on Power Systems, PAS-104, no. 5, May 1985, pp. 1147-1153.

[2] A. G. Bakirtzis, P. N. Biskas, C. E. Zoumas, and V. Petridis, "Optimal power flow by enhanced genetic algorithm," IEEE Transactions on Power Systems, vol. 17, no. 2, May 2002, pp. 229-236.

[3] I. M. Malik and D. Srinivasan, "Optimum power flow using flexible genetic algorithm model in practical power systems," in Proceedings of the 9th International Power and Energy Conference, Oct. 2010, pp. 1146-1151.

[5] C. M. Huang, S. J. Chen, Y. C. Huang, and S. P. Yang, "Optimal active-reactive power dispatch using an enhanced differential evolution algorithm," in Proceedings of the 6th IEEE Conference on Industrial Electronics and Application, Beijing, China, June 2011, pp. 1863-1868.

[6] K. C. Almeida and F. S. Senna, "Optimal active-reactive power dispatch under competition via bilevel programming," IEEE Transactions on Power Systems, vol. 26, no. 4, Nov. 2011, pp. 2345-2354.