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题名Dependent Discrete Convolution Based Probabilistic Load Flow for the Active Distribution System
作者
发表日期2017-07-01
发表期刊IEEE Transactions on Sustainable Energy
ISSN/eISSN1949-3029
卷号8期号:3页码:1000-1009
摘要

Active distribution system (ADS) plays a significant role in enabling the integration of distributed generation. The stochastic nature of renewable energy resources injects the complex uncertainties of power flow into ADS. This paper proposes a discrete convolution methodology for probabilistic load flow (PLF) of ADS considering correlated uncertainties. First, the uncertainties of load and renewable energy are modeled using the distribution of the corresponding forecasting error, and the correlation is formulated using a Copula function. A novel reactive power-embedded DC power flow model with high accuracy in both branch flow and node voltage is introduced into ADS. Finally, the distribution of power flow is calculated using dependent discrete convolution, which is capable of handling nonanalytical probability distribution functions. In addition, a reduced dimension approximation method is proposed to further reduce the computational burden. The proposed PLF algorithm is tested on the IEEE 33-nodes system and 123-nodes system, and the results show that the proposed methodology requires less computation and produces higher accuracy compared with current methods.

关键词active distribution system Copula correlation dependent discrete convolution probabilistic load flow sequence operation theory uncertainty
DOI10.1109/TSTE.2016.2640340
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收录类别SCIE
语种英语English
WOS研究方向Science & Technology - Other Topics ; Energy & FuelsEngineering
WOS类目Green & Sustainable Science & TechnologyEnergy & Fuels ; Engineering, Electrical & Electronic
WOS记录号WOS:000404251100010
Scopus入藏号2-s2.0-85028847071
引用统计
被引频次:70[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/9143
专题个人在本单位外知识产出
通讯作者Kang, Chongqing
作者单位
1.State Key Laboratory of Power Systems,Department of Electrical Engineering,Tsinghua University,Beijing,China
2.Economic Research Institute of Jiangsu Electric Power Company,Nanjing,China
推荐引用方式
GB/T 7714
Wang, Yi,Zhang, Ning,Chen, Qixinet al. Dependent Discrete Convolution Based Probabilistic Load Flow for the Active Distribution System[J]. IEEE Transactions on Sustainable Energy, 2017, 8(3): 1000-1009.
APA Wang, Yi, Zhang, Ning, Chen, Qixin, Yang, Jingwei, Kang, Chongqing, & Huang, Junhui. (2017). Dependent Discrete Convolution Based Probabilistic Load Flow for the Active Distribution System. IEEE Transactions on Sustainable Energy, 8(3), 1000-1009.
MLA Wang, Yi,et al."Dependent Discrete Convolution Based Probabilistic Load Flow for the Active Distribution System". IEEE Transactions on Sustainable Energy 8.3(2017): 1000-1009.
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