Enhanced Kullback–Leibler divergence based pilot protection for lines connecting battery energy storage stations

• Kullback–Leibler divergence (KLD) is utilized to construct a new time-domain line pilot protection method for battery energy storage station(BESS). • To remove the asymmetry of KLD, an improved KLD (IKLD) is introduced, and a technique is proposed to convert the current sampling sequence into a probability distribution that can be utilized by IKLD. • To counteract the negative influence of CT saturation on IKLD-based protection, the time-domain waveform features of summation current are adequately employed to create an enhanced KLD(EKLD). • The superb functionality of EKLD-based protection technique is verified in PSCAD and a HIL platform, and outclasses power frequency component-based current differential protection and up-to-date presented time-domain protection methods. In light of the challenges faced by existing protection methods when battery energy storage station (BESS) and various nonideal conditions emerge, enhanced Kullback–Leibler divergence-based time-domain pilot protection is put forward in this article. Given the discrepancy in current waveforms between internal and external faults, KLD is employed to quantify the degree of similarity between two current waveforms, enabling the accurate distinction between internal and external faults. To eliminate the asymmetry of KLD, improved KLD(IKLD) is introduced. Whereafter, a technique is proposed to convert the current sampling sequence into a probability distribution that can be utilized by IKLD. To counteract the negative influence of current transformer(CT) saturation on IKLD-based protection, the time-domain waveform features of summation current are adequately employed to develop an enhanced KLD(EKLD). Further, high and low thresholds are legitimately designed to ensure both dependability and security. The flowchart of EKLD-based pilot protection is described, and its effectiveness is extensively validated by variation in fault resistance, location, type and operating mode of BESS using PSCAD and a hardware-in-the-loop(HIL) testing platform. Additionally, proposed protection outclasses power frequency component-based current differential protection and some up-to-date presented time-domain protection methods.

Authors

Institutions

Publication Details

Journal
Results in Engineering
Published
2024-11-08
DOI
https://doi.org/10.1016/j.rineng.2024.103370
Citations
3
Primary Topic
Power Systems Fault Detection
Type
article
Field-Weighted Citation Impact
0.98

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhanced Kullback–Leibler divergence based pilot protection for lines connecting battery energy storage stations

Yingyu Liang, Xiaoyang Yang
3 citations
Results in Engineering
Power Systems Fault Detection
0.98
article

Enhanced Kullback–Leibler divergence based pilot protection for lines connecting battery energy storage stations

Yingyu Liang, Xiaoyang Yang
article en
3 citations

Abstract

• Kullback–Leibler divergence (KLD) is utilized to construct a new time-domain line pilot protection method for battery energy storage station(BESS). • To remove the asymmetry of KLD, an improved KLD (IKLD) is introduced, and a technique is proposed to convert the current sampling sequence into a probability distribution that can be utilized by IKLD. • To counteract the negative influence of CT saturation on IKLD-based protection, the time-domain waveform features of summation current are adequately employed to create an enhanced KLD(EKLD). • The superb functionality of EKLD-based protection technique is verified in PSCAD and a HIL platform, and outclasses power frequency component-based current differential protection and up-to-date presented time-domain protection methods. In light of the challenges faced by existing protection methods when battery energy storage station (BESS) and various nonideal conditions emerge, enhanced Kullback–Leibler divergence-based time-domain pilot protection is put forward in this article. Given the discrepancy in current waveforms between internal and external faults, KLD is employed to quantify the degree of similarity between two current waveforms, enabling the accurate distinction between internal and external faults. To eliminate the asymmetry of KLD, improved KLD(IKLD) is introduced. Whereafter, a technique is proposed to convert the current sampling sequence into a probability distribution that can be utilized by IKLD. To counteract the negative influence of current transformer(CT) saturation on IKLD-based protection, the time-domain waveform features of summation current are adequately employed to develop an enhanced KLD(EKLD). Further, high and low thresholds are legitimately designed to ensure both dependability and security. The flowchart of EKLD-based pilot protection is described, and its effectiveness is extensively validated by variation in fault resistance, location, type and operating mode of BESS using PSCAD and a hardware-in-the-loop(HIL) testing platform. Additionally, proposed protection outclasses power frequency component-based current differential protection and some up-to-date presented time-domain protection methods.

Results in EngineeringVol. 24
China University of Mining and Technology (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Affordable and clean energy
Openalex Percentile: Top 23%
Power Systems Fault Detection
0.98
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.