Load Factor Improvement on Daily Load Curve Using Pump Storage to SavingProduction Cost

L. Gumilar, A. Afandi, Wahyu Sapto Nugroho, Mokhammad Sholeh
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引用次数: 2

Abstract

Several factors that affect the cost of producing electrical energy in electrical power systems such as changes in the price of fuel for electricity generation (power plant generator), and changes in the load curve. The price of generator fuel varies depending on the type. The power plant with coal fuel is cheap and can be used to serve basic and medium loads all day. While the power plant with gas or oil fuel is very expensive and usually used to serve peak loads with a duration of 5 hours. The higher the peak load on the daily load curve, the greater the cost of producing electrical energy in the power system. Peak load generally occurs at night where almost everyone uses electrical equipment or during working hours. In Indonesia, especially on the Java and Bali islands, the peak load occurs from 17:00 to 22:00. This study uses the Java Bali 500 kV electrical power system. The load factor is a comparison between the average load for certain time intervals with the highest peak load at the same time interval. For example, 1 day, 1 week or 1 month. While the average load for a certain interval is the amount of electricity production (kWh) in that interval divided by the number of hours from that interval. The greater the load factor or close to 1, the cost of producing electricity will be cheaper or can be interpreted to be more economical. Making load factor approaching 1 will be used pump storage in the electric power system. The storage pump will act as a generator at peak load, thereby reducing the height of the peak load on the load curve. While at the baseload, pump storage will act as a motor load which serves to pump water from the lower reservoir to the upper reservoir, so that the baseload height will increase. Using this pump storage role will make the daily load curve flatter. The results of this study, in scenario 1 with load factor 0.89507, the cost of producing electricity for 24 hours is $ 20,251,047.78. While in scenario 2 with a load factor of 0.9672, the cost of producing electricity for 24 hours is $ 19,618,067.33. Of the two production costs obtained savings or difference is $ 632,980.45.
利用泵蓄提高日负荷曲线的负荷系数以节约生产成本
影响电力系统生产电能成本的几个因素,如发电(发电厂发电机)燃料价格的变化,以及负荷曲线的变化。发电机燃料的价格因类型而异。燃煤电厂价格低廉,可全天为基本负荷和中负荷供电。而以天然气或石油为燃料的发电厂非常昂贵,通常用于服务持续时间为5小时的峰值负荷。日负荷曲线上的峰值负荷越高,电力系统生产电能的成本就越大。高峰负荷通常发生在晚上,因为几乎每个人都使用电气设备或在工作时间。在印度尼西亚,特别是爪哇岛和巴厘岛,高峰负荷发生在17:00到22:00之间。本研究采用爪哇巴厘500千伏电力系统。负荷系数是某一时间段内的平均负荷与同一时间段内的最高峰值负荷之间的比较。例如,1天、1周或1个月。而某一时段的平均负荷是该时段的发电量(千瓦时)除以该时段的小时数。负载系数越大或接近1,发电成本就越便宜或可以解释为更经济。使负荷系数趋近于1的泵蓄将在电力系统中得到应用。蓄能泵将在高峰负荷时充当发电机,从而降低高峰负荷在负荷曲线上的高度。而在基本负荷时,泵蓄将作为电机负荷,将水从下水库抽到上水库,使基本负荷高度增加。利用这种泵的蓄能作用可以使日负荷曲线更加平坦。本研究结果表明,在负荷系数为0.89507的情景1中,24小时的发电成本为20,251,047.78美元。在负荷系数为0.9672的情形2中,24小时发电的成本为$ 19,618,067.33。在这两项生产费用中,节省或差额为632 980.45美元。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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