Repository logo
  • English
  • العربية
  • বাংলা
  • Català
  • Čeština
  • Deutsch
  • Ελληνικά
  • Español
  • Suomi
  • Français
  • Gàidhlig
  • हिंदी
  • Magyar
  • Italiano
  • Қазақ
  • Latviešu
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Српски
  • Svenska
  • Türkçe
  • Yкраї́нська
  • Tiếng Việt
Log In
New user? Click here to register.Have you forgotten your password?
  1. Home
  2. Scholalry Output
  3. Publications
  4. Residential energy management strategy considering the usage of storage facilities and electric vehicles
 
  • Details

Residential energy management strategy considering the usage of storage facilities and electric vehicles

Source
Sustainable Energy Technologies and Assessments
ISSN
22131388
Date Issued
2021-06-01
Author(s)
Muthiah-Nakarajan, Venkataraman
Cherukuri, S. Hari Charan
Saravanan, B.
Palanisamy, K.
DOI
10.1016/j.seta.2021.101167
Volume
45
Abstract
This article presents a different type of home energy management algorithm for a residence consisting of solar PV, battery storage units, electric vehicles with different driving profiles, critical and noncritical loads. The primary objective of the proposed methodology is to reduce the overall power purchase from the utility. In order to achieve the said objectives a combination of the rule based approach proposed by the authors and a heuristic optimization is used. Hence, it can be said that the proposed strategy consists of two layers, of which the first part of the algorithm schedules the noncritical loads using electric springs and the second part of the strategy controls battery storage units and electric vehicles. The novelty of the proposed work lies in using electric springs, battery storage units and exploring the virtual energy storage capabilities of electric vehicles so as to make the residential complexes more autonomous and less dependent on the utility. The robustness of the proposed strategy is tested on a residence and from the obtained results it can be said that the presented algorithm can save an electricity bill of about 53% to the consumer.
Unpaywall
URI
https://d8.irins.org/handle/IITG2025/25416
Subjects
Battery energy storage | Electric springs | Electric vehicles | Home energy management | Utility grid
IITGN Knowledge Repository Developed and Managed by Library

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Privacy policy
  • End User Agreement
  • Send Feedback
Repository logo COAR Notify