Renewable Energy Capacity Credit Assessment Method Considering Source-load Correlation

Y. Mi, Yongji Cao, Hengxu Zhang, Jinye Yang, Chen Li, Leshu Sun
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引用次数: 1

Abstract

The capacity credit is an important index to measure the contribution of renewable energy to the power system. Considering the source-load correlation, a capacity credit assessment method is proposed in this paper. The Copula function is used to describe the correlation between renewable energy and load in seasonal scenarios, and a source-load joint probability distribution model is constructed to generate source-load correlation scenarios. Based on the source-load correlation scenarios, the assessment of capacity credit is performed from the perspective of source-load matching. Finally, the capacity credit assessment is carried out through a case study, and the result verifies the effectiveness of the proposed method.
考虑源负荷相关性的可再生能源容量信用评估方法
容量信用是衡量可再生能源对电力系统贡献的重要指标。考虑源负荷相关性,提出了一种容量信用评估方法。利用Copula函数描述季节情景下可再生能源与负荷的相关性,构建源-负荷联合概率分布模型,生成源-负荷相关情景。基于源-负荷相关场景,从源-负荷匹配的角度对容量信用进行评估。最后,通过一个案例进行了能力信用评估,结果验证了所提方法的有效性。
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