基于宏观经济数据的Java-Bali系统损失负荷分析价值

Christina Purwaningsih, S. Sarjiya, Yusuf Susilo Wijoyo
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引用次数: 1

摘要

工业和商业部门对一些地区的国内生产总值(GDP)有很大的影响。除此之外,GDP还受到用电量的影响。这就是为什么必须计算损耗负载值(VOLL)的原因。本研究计算VOLL,以获得彭图兰贝班(APB)每个地区和整个爪哇-巴厘岛地区的工业和商业部门的停电成本、效率和生产力价值。VOLL的计算采用宏观经济分析方法,因为这种方法比调查分析更具时间效率。本研究还计算了2016-2023年的VOLL预测。在此基础上,通过计算层级1的预期不供能,得到层级1的停电成本预测。在进行EENS计算之前,对负荷期望损失(LOLE)和负荷概率损失(LOLP)等可靠性指标进行了分析。计算结果表明,2017年的VOLL为35100.67 Rp/kWh, hl1的EENS为7.25 MWh。经计算,总停电成本为2.89亿卢比。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Value of Loss Load Analysis of Java-Bali System Based on Macro Economic Data
Industrial and business sectors have big influence to gross domestic product in some regions (GDP). Beside that, GDP is influenced by electricity consumption. That statement is the reason why value of loss load (VOLL) had to be calculated. This research calculates VOLL for getting the value of outage cost, efficiency and productivity industrial and business sector in each Area Pengaturan Beban (APB) and in entire Java-Bali region. VOLL is calculated by macroeconomic analysis because this method has more time efficiency than survey analysis. VOLL forecasting in 2016-2023 are calculated too in this research. After that, the outage cost forecasting in hierarchical level 1 (HL 1) can be gotten if expected energy not supplied (EENS) from HL 1 is calculated. Before EENS calculation is held, analysis of another reliability indices such as loss of load expectation (LOLE) and loss of load probability (LOLP) were calculated. The calculation results show that VOLL in 2017 is 35,100.67 Rp/kWh and EENS in HL 1 is 7.25 MWh. Total outage cost from calculation is 289 million rupiahs.
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