EconPapers    
Economics at your fingertips  
 

Point Estimate Method for Voltage Unbalance Evaluation in Residential Distribution Networks with High Penetration of Small Wind Turbines

Chao Long, Mohamed Emad A. Farrag, Donald M. Hepburn and Chengke Zhou
Additional contact information
Chao Long: School of Engineering and Built Environment, Glasgow Caledonian University, Glasgow G4 0BA, UK
Mohamed Emad A. Farrag: School of Engineering and Built Environment, Glasgow Caledonian University, Glasgow G4 0BA, UK
Donald M. Hepburn: School of Engineering and Built Environment, Glasgow Caledonian University, Glasgow G4 0BA, UK
Chengke Zhou: School of Engineering and Built Environment, Glasgow Caledonian University, Glasgow G4 0BA, UK

Energies, 2014, vol. 7, issue 11, 1-15

Abstract: Voltage unbalance (VU) in residential distribution networks (RDNs) is mainly caused by load unbalance in three phases, resulting from network configuration and load-variations. The increasing penetration of distributed generation devices, such as small wind turbines (SWTs), and their uneven distribution over the three phases have introduced difficulties in evaluating possible VU. This paper aims to provide a three-phase probabilistic power flow method, point estimate method to evaluate the VU. This method, considering the randomness of load switching in customers’ homes and time-variation in wind speed, is shown to be capable of providing a global picture of a network’s VU degree so that it can be used for fast evaluation. Applying the 2 m + 1 scheme of the proposed method to a generic UK distribution network shows that a balanced SWT penetration over three phases reduces the VU of a RDN. Greater unbalance in SWT penetration results in higher voltage unbalance factor (VUF), and cause VUF in excess of the UK statutory limit of 1.3%.

Keywords: power distribution system; probability distribution; point estimate method; small wind turbines; voltage unbalance (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: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/7/11/7717/pdf (application/pdf)
https://www.mdpi.com/1996-1073/7/11/7717/ (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:7:y:2014:i:11:p:7717-7731:d:42560

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 ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jeners:v:7:y:2014:i:11:p:7717-7731:d:42560