目前台灣電力公司之電費結構主要是由基本電費、流動電費、功率因數調整費及超約附加費等四個部分構成。如欲節省電費的支出,可從此四項作調整,其中基本電費及超約附加費的部分,可在不增購其他機械設備的情況下,對電費的降低有所幫助。而基本電費及超約附加費的多寡則與用戶和台電訂定之用電契約容量有關,因此如何訂定一個理想的契約容量藉此降低電費的支出將是降低成本的一個課題。通常用戶對於此方面的認知不足,常常會訂定不恰當的契約容量,而詢問台電的意見,建議訂定多少的契約容量較為恰當,但台電不會在往後提醒是否需要作調整,所以最好的節省成本之道就是時常檢視訂定的契約容量是否恰當藉以降低成本的支出。 本論文主要為研究最佳的動態契約容量,先以循序累增搜尋法的計算方式算出最佳的固定契約容量,再藉由動態規劃法調整每個月的契約容量,以計算最佳的契約容量值。驗證結果,藉由動態規劃法調整契約容量,可有效的降低電費、減少用戶所需花費的成本;本論文可供用電方式有季節性及每月用電量變化較大的用戶做參考,藉此瞭解其訂定的契約容量是否恰當。
Currently, there are four parts of TAIPOWER Company’s electricity cost are composed of demand charge, energy charge, power factor charge and penalty charge. In order to save power rate spending, the research reduce electricity cost on demand charge and penalty charge but we don’t need to buy any machine. The demand charge and penalty charge that are obtained according to contract capacity with TAIPOWER Company. Therefore, how to make an optimal contract capacity is the common problem for the consumer to face. Because general consumers are short of the judgment to revise optimal contract capacity, therefore sign unsuitable contract capacity constantly. When you ask the views of TAIPOWER, then they will give you some advices about contract capacity, but they won’t remind you that it’s suitability or not for the contract capacity in the future. Therefore, Best way to save cost is to check the appropriateness of contract capacity frequently. The thesis major is researching a dynamic optimal contract capacity. First, the research get optimal contract capacity by sequential search and use dynamic programming to adjust the monthly contract capacity, to calculate the optimal contract capacity. The research result, it’s effective to adjust the contract capacity for cost down by dynamic programming. The research could be a reference for seasonal and power of demand varies greatly user. To sure their own set of contract capacity is appropriate.