不确定条件下柴油/光伏/电池混合微电网中光伏阵列的尺寸

Nathaniel J. Williams, P. Jaramillo, Jay Taneja
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引用次数: 16

摘要

撒哈拉以南非洲地区的电力供应水平很低,大量人口生活在远离现有电力基础设施的地方。这引起了人们对微电网等分散电气化解决方案的兴趣,微电网可以更快地到达偏远社区。为了解决缺乏资金部署这些项目的问题,各国政府一直在该领域寻求私人投资。研究发现,使用传统和可再生发电机的混合微电网提供的电力成本低于柴油供电系统。这些研究关注的是平准化电力成本(LCOE)和生命周期成本(LCC)等指标,而没有明确考虑投资风险。本文采用随机技术经济模型,使用基于风险的方法研究微电网中光伏阵列规模对债务和股权投资指标的影响,如偿债覆盖率(DSCR)和净现值(NPV)。结果表明,当低成本资本可用时,高水平的光伏渗透率降低了燃料价格风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PV-array sizing in hybrid diesel/PV/battery microgrids under uncertainty
Levels of electricity access in sub-Saharan Africa are low with large populations living far from existing electricity infrastructure. This has led to interest in decentralized electrification solutions like microgrids, which can reach remote communities more quickly. To address a lack of capital to deploy these projects, governments have sought private investment in the sector. Studies have found that hybrid microgrids using both conventional and renewable generators provide electricity at lower cost than diesel powered systems. These studies focus on metrics such as levelized cost of electricity (LCOE) and life cycle cost (LCC) and do not account explicitly for investment risk. This paper employs a stochastic techno-economic model to examine the impact of PV array sizing in microgrids on debt and equity investment metrics like debt service coverage ratio (DSCR) and net present value (NPV) using a risk based approach. Results indicate that high levels of PV penetration mitigate fuel price risks when low-cost capital is available.
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