期刊论文详细信息
Energies
Point Estimate Method for Voltage Unbalance Evaluation in Residential Distribution Networks with High Penetration of Small Wind Turbines
Chao Long2  Mohamed Emad A. Farrag1  Donald M. Hepburn2  Chengke Zhou2 
[1] School of Engineering and Built Environment, Glasgow Caledonian University, Glasgow G4 0BA, UK;
关键词: power distribution system;    probability distribution;    point estimate method;    small wind turbines;    voltage unbalance;   
DOI  :  10.3390/en7117717
来源: mdpi
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【 摘 要 】

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 2m + 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%.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.

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