Abstract
Imbalance-induced energy loss accounts for a significant part of energy loss in low-voltage distribution networks. However, due to the prohibitive cost of full monitoring, high-resolution time-series data of low-voltage feeder currents are usually absent for accurate energy loss computation. This letter presents a novel method to estimate the probability distribution of imbalance-induced energy loss. In the proposed method, only the line resistance and statistical data (mean and covariance) of the phase currents are required to estimate imbalanced networks energy loss. Furthermore, a Bayesian statistics-based data-driven method is also proposed to get the mean and covariance value of phase current with minimal measurements. Numerical tests on a real three-phase imbalanced circuit show the proposed approach obtains the probability distribution of imbalance-induced energy loss with a low estimating error and low field measurement frequency.
Original language | English |
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Article number | 9363568 |
Pages (from-to) | 378-3801 |
Number of pages | 3424 |
Journal | IEEE Transactions on Power Systems |
Volume | 36 |
Issue number | 4 |
Early online date | 25 Feb 2021 |
DOIs | |
Publication status | Published - 31 Jul 2021 |
Bibliographical note
Funding Information:Manuscript received August 25, 2020; revised December 1, 2020 and January 12, 2021; accepted February 14, 2021. Date of publication February 25, 2021; date of current version June 18, 2021. This work was supported by the National Key Research and Development Program of China under Grant 2016YFB0900100. Paper no. PESL-00248-2020. (Corresponding author: Han Wu.) Han Wu and Yue Yuan are with the College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China (e-mail: [email protected]; [email protected]).
Publisher Copyright:
© 1969-2012 IEEE.
Keywords
- Distribution system
- Energy losses
- Phase residual current
- Probability
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering