发表状态 | 已发表Published |
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
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ISSN/eISSN | 1949-3029 |
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 |
DOI | 10.1109/TSTE.2016.2640340 |
URL | 查看来源 |
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 | |
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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