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  • 學位論文

配電管理系統自動區段開關之多目標最佳配置研究

Multi-objective Optimal Placement of Automatic Line Switches in Power Distribution Networks

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摘要


現代輸配電業界對停電改進回饋系統的要求日益增加,為滿足這樣的需求,安裝在電力配給網路上的自動區段開關可有效減少電力干擾的次數與時間。然而,自動區段開關裝置的使用也意味著更高的投資成本。對電力公司而言,如何使用相對低廉的成本支出來達到電力配給的高可靠度成為一個多目標最佳化問題。為解決這樣的問題,本論文發展一種基於精英策略非支配排序遺傳演算法的演算模式。根據論文所提的方法,我們可得到一組經過權衡後的解決方案,決定一特定配電網路自動區段開關裝置的數量與安裝配置,作為電力公司在一定成本下的最高可靠度參考。本研究以兩個案分析檢驗演算法的有效與否,為達到兩相對照的效果,其中一個案分析是對應於先前台灣電力公司真實配電網路的類似研究。個案分析的結果顯示,對於配電網路的一些自動化投資確可有效提升可靠度指標,間接驗證論文所提演算法相較於先前研究,更能有效滿足系統需求。

並列摘要


In modern power distribution utilities, there is a growing demand for an improved system response in case of outages. In order to address that demand, automatic line switches can be installed in distribution networks to reduce the number and durations of power interruptions. However, automatic switching devices involve an increased investment cost. For distribution utilities, obtaining a high level of reliability at a relatively low cost becomes a multi-objective optimization problem. To solve the problem, a computational procedure based on Elitist Nondominated Sorting Genetic Algorithm (NSGA-II) is developed in the present study. Following the proposed methodology, we are able to obtain a set of optimal trade-off solutions identifying the number and placement of automatic switches in a distribution network for which we can obtain the most reliability benefit out of the utility investment. To determine the effectiveness of the procedure, two case studies were carried out. For comparison purposes, one of the cases corresponds to a previous study of an actual distribution system belonging to Taipower Company. The result of both tests indicates the improvement in system reliability indices due to the addition of a certain degree of automation investment in the distribution network, and demonstrates the present methodology is able to satisfy the system requirements in a better way than the mentioned previous study.

參考文獻


Bernardon, D., Sperandio, M., Garcia, V., Russi, J., Canha, L., Abaide, A., & Daza, E. (2011). Methodology for allocation of remotely controlled switches in distribution networks based on a fuzzy multi-criteria decision making algorithm. Electric Power Systems Research, 81(2), 414-420.
Billinton, R., & Jonnavithula, S. (1996). Optimal switching device placement in radial distribution systems. Power Delivery, IEEE Transactions on, 11(3), 1646-1651.
Brown, R. E. (2008b). Impact of Smart Grid on distribution system design.
Chao-Shun Chen, Chia-Hung Lin, Hui-Jen Chuang, Chung-Sheng Li, Ming-Yang Huang, & Huang, Q.-W. (2006). Optimal Placement of Line Switches for Distribution Automation Systems Using Immune Algorithm. IEEE Transactions on Power Systems, 21(3), 1209 - 1217
Chen, C. S., Lin, C. H., Chuang, H. J., Li, C. S., Huang, M. Y., & Huang, C. W. (2006). Optimal placement of line switches for distribution automation systems using immune algorithm. Power Systems, IEEE Transactions on, 21(3), 1209-1217.

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