A Comprehensive Analysis of Renewable Energy Representations in Power System Generation Expansion Planning

X. Zhang, Manisa Pippatanasomporn, S. Rahman
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引用次数: 1

Abstract

Due to the stochastic nature of renewable generation, power system planning with high penetration of renewables is challenging. Analyzing the influence of renewable energy variability on system reliability is of crucial importance in power system planning. There are two well-known approaches in incorporating renewable generation: the negative load approach and the multi-state generation approach. The objective of this study is to review the performance of these two methods in quantifying system reliability. Both pros and cons of each method are discussed based on experiments conducted using public data for both wind and solar power generation. Reliability indices are quantified using these two representations of renewable generation. In addition, this paper analyzes how representative a single-year renewable generation profile is, by comparing the reliability indices using multiple-year renewable energy data.
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电力系统扩容规划中可再生能源代表的综合分析
由于可再生能源发电的随机性,高可再生能源渗透率的电力系统规划具有挑战性。分析可再生能源变率对系统可靠性的影响在电力系统规划中具有重要意义。可再生能源发电的并网方式有两种:负负荷并网方式和多状态并网方式。本研究的目的是回顾这两种方法在量化系统可靠性方面的性能。基于利用风能和太阳能发电的公开数据进行的实验,讨论了每种方法的优缺点。利用可再生能源发电的这两种表示对可靠性指标进行了量化。此外,通过对多年可再生能源数据的可靠性指标进行比较,分析了单年可再生能源发电概况的代表性。
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