On State Estimation Modeling of Smart Distribution Networks: A Technical Review

Junjun Xu, Yulong Jin, Tao Zheng and Gaojun Meng
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Junjun Xu: State Key Laboratory of Smart Grid Protection and Control, Nanjing 211106, China
Yulong Jin: NARI Technology Co., Ltd., Nanjing 211106, China
Tao Zheng: NARI Technology Co., Ltd., Nanjing 211106, China
Gaojun Meng: Jiangsu Collaborative Innovation Center for Smart Distribution Network, Nanjing 211167, China

Energies, 2023, vol. 16, issue 4, 1-19

Abstract: State estimation (SE) is regarded as an essential tool for achieving the secure and efficient operation of distribution networks, and extensive research on SE has been conducted over the past three decades. Nonetheless, the high penetration of distribution generations (DGs) is accompanied by uncertainties and dynamics, and the extensive application of intelligent electronic devices (IEDs) is associated with data processing issues, all of which raise new challenges, and these issues must be taken care of for further development of SE in smart distribution networks. This paper attempts to present a comprehensive literature review of numerous works that address various issues in SE, examining key technical research issues and future perspectives. Hopefully, it will be able to meet the needs for the development of smart distribution networks.

Keywords: state estimation; smart distribution network; distribution generation; uncertainty; smart meter; big data; energy internet (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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