Plug-in electric vehicle load modeling for charging scheduling strategies in microgrids
Authors:
- Iven GuzelIGIven Guzel
- Murat GolMGMurat Gol
- 23 June 2022
- journal article
- research article
- Published by Elsevier in Sustainable Energy, Grids and Networks
- Vol. 32
Abstract
No abstract availableKeywords
Funding Information
- Türkiye Bilimsel ve Teknolojik Araştırma Kurumu (119E209)
This publication has 17 references indexed in Scilit:
- Review on Scheduling, Clustering, and Forecasting Strategies for Controlling Electric Vehicle Charging: Challenges and RecommendationsIEEE Access, 2019
- Training-Free Non-Intrusive Load Extracting of Residential Electric Vehicle Charging LoadsIEEE Access, 2019
- ACN-Data2019
- A new method for real-time evaluation of urban traffic congestion: a case study in Xi’an, ChinaGeocarto International, 2019
- A data-driven two-level clustering model for driving pattern analysis of electric vehicles and a case studyJournal of Cleaner Production, 2019
- How Electric Vehicles and the Grid Work Together: Lessons Learned from One of the Largest Electric Vehicle Trials in the WorldIEEE Power and Energy Magazine, 2018
- Agent-Based Aggregated Behavior Modeling for Electric Vehicle Charging LoadIEEE Transactions on Industrial Informatics, 2018
- Online Charging Scheduling Algorithms of Electric Vehicles in Smart Grid: An OverviewIEEE Communications Magazine, 2016
- Fuzzy Load Modeling of Plug-in Electric Vehicles for Optimal Storage and DG Planning in Active Distribution NetworkIEEE Transactions on Vehicular Technology, 2016
- Statistical Charging Load Modeling of PHEVs in Electricity Distribution Networks Using National Travel Survey DataIEEE Transactions on Smart Grid, 2012