P. Praveena, V.S. Chandrika, I. Baranilingesan, S. Ravindran and C. Pazhanimuthu, Department of Electrical and Electronics Engineering, KPR Institute of Engineering and Technology, Coimbatore, Tamilnadu, India.
Online First : 30 December 2020
Publisher Name : IJAICT India Publications, India.
Print ISBN : 978-81-950008-0-7
Online ISBN : 978-81-950008-1-4
Page :152-157
Abstract
In future the usage of Plug-in hybrid electric vehicles (PHEV) will be in wide range, which will impose huge burden to the distributive system. The peak load at the distribution system can be controlled by Demand Side Management (DSM) strategy. In the proposed study, the load curve of Low-voltage Transformers (LVTs) is made to be flatten, on satisfying the requirement of charging PHEV at given time to the required level. The proposed problem statement is formulated as convex optimization problem, and then the random arrival of PHEV is handled by introducing the moving horizon strategy. Based on this, the PHEV are being disconnected from the LVTs beyond their respective exit times. Such that the demand curve of the LVTs is flattened. This problem is solved using MATLAB and the power demand curves of the LVTs, power curves of the PHEVs and non- PHEV load are compared over a time of 24 hours to show that the power curve is flattened with the penetration of PHEV.
Keywords
Demand Side Management (DSM), Convex optimization, Moving Horizon Approach.
Cite this article
P. Praveena, V.S. Chandrika, I. Baranilingesan, S. Ravindran and C. Pazhanimuthu, “Demand Side Management for Charging Plug-In Hybrid Electric Vehicles”, Innovations in Information and Communication Technology, pp. 152-157, December 2020.
Copyright
© 2020 P. Praveena, V.S. Chandrika, I. Baranilingesan, S. Ravindran and C. Pazhanimuthu. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
