An Electric Vehicle Charge Scheduling Approach Suited to Local and Supplying Distribution Transformers

Distribution networks with high electric vehicle (EV) penetration levels can experience transformer overloading and voltage instability issues. A charge scheduling approach is proposed to mitigate against these issues that suits smart home settings in residential areas. It comprises measurement syst...

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Bibliographic Details
Published inEnergies (Basel) Vol. 13; no. 13; p. 3486
Main Authors Kurniawan, Teguh, Baguley, Craig A., Madawala, Udaya K., Suwarno, Suwarno, Hariyanto, Nanang, Adianto, Yuana
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.07.2020
Subjects
Automobiles
Case studies
charge scheduling
Computer simulation
Data processing
distribution transformer
Driver behavior
Electric vehicles
Embedded systems
Fuzzy logic
Fuzzy systems
Load
Load distribution
Mitigation
Monte Carlo simulation
Peak load
Residential areas
Scheduling
Smart buildings
Stress concentration
Voltage
Voltage stability
Jakarta Indonesia
Indonesia
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Summary:Distribution networks with high electric vehicle (EV) penetration levels can experience transformer overloading and voltage instability issues. A charge scheduling approach is proposed to mitigate against these issues that suits smart home settings in residential areas. It comprises measurement systems located at distribution transformers that communicate directly with fuzzy logic controller (FLC) systems embedded within EV supply equipment (EVSE). This realizes a reduction in data processing requirements compared to more centralized control approaches, which is advantageous for distribution networks with large numbers of transformers and EV scheduling requests. A case study employing the proposed approach is presented. Realistic driver behavior patterns, EV types, and multivariate probabilistic modeling were used to estimate EV charging demands, daily travel mileage, and plug-in times. A Monte Carlo simulation approach was developed to obtain EV charging loads. The effectiveness of mitigation in terms of reducing distribution transformer peak load levels and losses, as well as improving voltage stability is demonstrated for a distribution network in Jakarta, Indonesia.
ISSN:1996-1073
1996-1073
DOI:10.3390/en13133486