負載平準化分析下高壓用電戶最適契約容量之研究：以某生產工廠為例

A Study on Optimal Contract Capacity of High-Voltage Power Consumer Under Load Leveling Analysis: Take a Factory as an Example

本研究以個案公司為例，針對重電設備汰舊換新、最高需量平準化及最適契約容量之訂定，以節省流動電費及基本電費之支出。經由實證結果發現、重電設備之汰舊換新，每年約可節省流動電費1,158,537元/年，節省比例達15%以上。用電需量平準化實施改善前後之變異數由150,952降至20,387.2，降幅達86.295%，確有明顯改善效益。本研究以「歷史資料分析法」及「數值積分分析法」求解最適契約容量，實證結果發現，此二種方法皆具改善效益，但「數值積分分析法」之節費效果優於「歷史資料分析法」，「數值積分分析法」節省電費達16.64%，而「歷史資料分析法」為15.46%。簡言之，「數值積分分析法」更具經濟效益。

This study takes acompany as an example, aiming at the replacement of old and heavy electrical equipment, the leveling of maximum demand and the setting of optimal contracted capacity, to save the expenditure of mobile electricity and basic electricity. Through the empirical study, it was found that the replacement of heavy electrical equipment could save about NT$1,158,537 in mobile electricity bills every year, and the saving rate is more than 15%. The variation of electricity demand leveling before and after the improvement reduced from 150,952 to 20,387.2, adecrease of 86.295%. In this study, the“historical data analysis method”and the“numerical integral analysis method”were used to find the optimal contract capacity. The empirical results show that both methods have benefits. However, the“numerical integral analysis method”has acost-saving effect. Better than the“historical data analysis method”with asaving of 15.46%, the“numerical integration analysis method”saves 16.64% on electricity bills. In short, the“numerical integration analysis method”is more economical.