基于复杂仿射配电潮流的ESS不确定性缓解的定量评价

Kai Wang, Shouxiang Wang, Shengxia Cai
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引用次数: 1

摘要

利用基于复杂仿射算法的配电网潮流,定量评价了储能系统的不确定性缓解效果。首先,明确建立了不确定情况下分布式代(dg)和ESS的仿射模型。在此基础上,提出了一种基于复仿射算法的配电系统前向后向扫描潮流。第三,定义了不确定性ESS缓解指标,以量化对潮流结果的影响。最后,以IEEE 13总线系统为例,对所提出的评价方法进行了验证。计算了ESS的不确定性缓解指数。试验结果表明,该指标能够定量地反映ESS对配电系统分离母线电压的不确定性缓解效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantitative evaluation of uncertainty mitigation by ESS via complex affine distribution power flow
This paper quantitatively evaluates the uncertainty mitigation by energy storage system (ESS) via complex affine arithmetic-based distribution power flow. First, the affine models of distributed generations (DGs) and ESS under uncertain situations are explicitly established. Then, a forward-backward sweep power flow based on complex affine arithmetic is proposed in distribution systems with DGs and ESS. Third, an index of uncertainty mitigation by ESS to quantify the impacts on the power flow results is defined. Finally, the IEEE 13-bus system case is used to test the proposed evaluation method. The uncertainty mitigation index of ESS is calculated. Test results demonstrate that the presented index can quantitatively reflect the uncertainty mitigation impacts of ESS on separate bus voltage of distribution systems.
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