小區域電力負載移轉最佳化

Power Load Dispatch Preplanning For Small Area

高傳詔(Chwan-Jaw Kao)

指導教授 ： 邱昭彰

元智大學/資訊學院/資訊管理學系/碩士(2003年)

摘要

本研究提出一個新穎的小區域負載預測與移轉最佳化模型。配電系統端經常需要因應不同的負載特徵進行負載切換以達到負載平衡或是減少過度負載所產生的停電事故。在本文研究中提出長程規劃性負載切換最佳化模擬系統，利用迴歸樹進行長時間負載預測，再配合多目標基因演算法與系統模擬建構出最佳的小區域負載切換模型。實驗結果顯示，本研究所提出之負載切換模型的確能夠產生較佳的負載移轉組合。

關鍵字

配電系統 ； 電力損失最小化 ； 電力負載預測 ； 電力負載衡 ； 多目標基因演算法 ； 迴歸樹 ； 系統模擬

並列摘要

Optimal planning distribution of power load network reconfiguration has been proposed here. Distribution systems normally need reconfiguration to adapt different load pattern. The proposed methodology mainly focuses on non auto switched distribution system. For the long term planning, a new algorithm has been proposed by using system simulation to overcome the uncertainty of the power need next year. Once the future load has been identified in distribution system, the power dispatch in substation level can be optimized. The result of proposed approach is applied to support on the planning of distribution network in Taiwan.

並列關鍵字

Distribution System ； Loss Minimization ； Load Prediction ； Load Balance ； Multi-Objective Genetic Algorithm ； Regression Tree ； System Simulation

參考文獻

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