NDLI: Autonomous plug and play electric vehicle charging scenarios including reactive power provision: a probabilistic load flow analysis

Content Provider	IET Digital Library
Author	Melhorn, Alexander C. Kenna, Killian Mc Keane, Andrew Flynn, Damian Dimitrovski, Aleksandar
Abstract	Electric vehicle (EV) charging can have various impacts on low-voltage distribution systems, along with increasing the uncertainty of network load levels. One method for capturing the statistical uncertainty is probabilistic load flow (PLF). A primary concern of such an approach is determining the correlation between the input variables. Since data are limited, a 1 min resolution bottom-up time-variant load model, capturing the changing voltage dependencies of the load, is used for modelling household electrical demand to provide pseudo-meter data for the three-phase PLF analysis of a residential distribution network. The correlation between the household and EV charging loads are implicitly taken into account by modelling the EV plug-in and departure times with the corresponding occupancy model. Two autonomous plug-and-play charging scenarios are compared with a standard charging arrangement at both unity and 0.95 capacitive power factors. Four different PLF input correlation scenarios, varying from fully correlated to fully independent, are considered. The proposed charging scenarios and reactive power provision reduce the likelihood of system voltage violations introduced by EVs. The PLF results are verified against those from the initial time-series analysis providing valuable insight into the uncertainty introduced by EVs and the correlation between household and EV loads.
Starting Page	768
Ending Page	775
Page Count	8
ISSN	17518687
Volume Number	11
e-ISSN	17518695
Issue Number	Issue 3, Feb (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/11/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2016.0652
Journal	IET Generation, Transmission & Distribution
Publisher Date	2017-02-16
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Autonomous Plug And Play Electric Vehicle Charging Scenarios Capacitive Power Factors Distribution Network Electric Vehicle EV Charging Load Household Electrical Demand Modelling Initial Time-series Analysis Load Flow Load Voltage Dependency Low-voltage Distribution System Network Load Level Uncertainty Occupancy Model PLF PLF Input Correlation Probabilistic Load Flow Analysis Probability Pseudometer Data Reactive Power Reactive Power Provision Residential Distribution Network Resolution Bottom-up Time-variant Load Model Statistical Analysis Statistical Uncertainty Statistics System Voltage Violations Three-phase PLF Analysis Time 1 Min Transportation Unity Power Factors
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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