Estimate the Probability Distribution of Imbalance-Induced Energy Loss with Minimal Data

Han Wu; Yue Yuan; Kang Ma; Lurui Fang

doi:10.1109/TPWRS.2021.3062217

Estimate the Probability Distribution of Imbalance-Induced Energy Loss with Minimal Data

Han Wu, Yue Yuan, Kang Ma, Lurui Fang

Department of Electronic & Electrical Engineering

Hohai University

Research output: Contribution to journal › Article › peer-review

5 Citations (SciVal)

96 Downloads (Pure)

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
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	https://doi.org/10.1109/TPWRS.2021.3062217
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

Access to Document

10.1109/TPWRS.2021.3062217

Estimate the Probability Distribution of Imbalane-Indued Energy Loss with Minimal Data.pdf
© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Accepted author manuscript, 264 KB

Cite this

@article{cafd71f94c034b5a827221ead9631d0b,

title = "Estimate the Probability Distribution of Imbalance-Induced Energy Loss with Minimal Data",

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.",

keywords = "Distribution system, Energy losses, Phase residual current, Probability",

author = "Han Wu and Yue Yuan and Kang Ma and Lurui Fang",

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: {\textcopyright} 1969-2012 IEEE.",

year = "2021",

month = jul,

day = "31",

doi = "10.1109/TPWRS.2021.3062217",

language = "English",

volume = "36",

pages = "378--3801",

journal = "IEEE Transactions on Power Systems",

issn = "0885-8950",

publisher = "IEEE",

number = "4",

}

TY - JOUR

T1 - Estimate the Probability Distribution of Imbalance-Induced Energy Loss with Minimal Data

AU - Wu, Han

AU - Yuan, Yue

AU - Ma, Kang

AU - Fang, Lurui

N1 - 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.

PY - 2021/7/31

Y1 - 2021/7/31

N2 - 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.

AB - 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.

KW - Distribution system

KW - Energy losses

KW - Phase residual current

KW - Probability

UR - http://www.scopus.com/inward/record.url?scp=85101847610&partnerID=8YFLogxK

U2 - 10.1109/TPWRS.2021.3062217

DO - 10.1109/TPWRS.2021.3062217

M3 - Article

AN - SCOPUS:85101847610

SN - 0885-8950

VL - 36

SP - 378

EP - 3801

JO - IEEE Transactions on Power Systems

JF - IEEE Transactions on Power Systems

IS - 4

M1 - 9363568

ER -

Estimate the Probability Distribution of Imbalance-Induced Energy Loss with Minimal Data

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this