Optimal Micro-PMU Placement Using Mutual Information Theory in Distribution Networks

Zhi Wu, Xiao Du, Wei Gu, Ping Ling, Jinsong Liu and Chen Fang
Additional contact information
Zhi Wu: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Xiao Du: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Wei Gu: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Ping Ling: State Grid Shanghai Electric Power Co, Electric Power Research Institute, Shanghai 200090, China
Jinsong Liu: State Grid Shanghai Electric Power Co, Electric Power Research Institute, Shanghai 200090, China
Chen Fang: State Grid Shanghai Electric Power Co, Electric Power Research Institute, Shanghai 200090, China

Energies, 2018, vol. 11, issue 7, 1-19

Abstract: Micro-phasor measurement unit (μPMU) is under fast development and becoming more and more important for application in future distribution networks. It is unrealistic and unaffordable to place all buses with μPMUs because of the high costs, leading to the necessity of determining optimal placement with minimal numbers of μPMUs in the distribution system. An optimal μPMU placement (OPP) based on the information entropy evaluation and node selection strategy (IENS) using greedy algorithm is presented in this paper. The uncertainties of distributed generations (DGs) and pseudo measurements are taken into consideration, and the two-point estimation method (2PEM) is utilized for solving stochastic state estimation problems. The set of buses selected by improved IENS, which can minimize the uncertainties of network and obtain system observability is considered as the optimal deployment of μPMUs. The proposed method utilizes the measurements of smart meters and pseudo measurements of load powers in the distribution systems to reduce the number of μPMUs and enhance the observability of the network. The results of the simulations prove the effectiveness of the proposed algorithm with the comparison of traditional topological methods for the OPP problem. The improved IENS method can obtain the optimal complete and incomplete μPMU placement in the distribution systems.

Keywords: micro-phasor measurement unit; mutual information theory; stochastic state estimation; two-point estimation method (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: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://www.mdpi.com/1996-1073/11/7/1917/pdf (application/pdf)
https://www.mdpi.com/1996-1073/11/7/1917/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:11:y:2018:i:7:p:1917-:d:159494

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().