Multi objective optimisation framework for smart metering in smart grids using multi-objective particle swarm optimisation. (2017)
- Record Type:
- Journal Article
- Title:
- Multi objective optimisation framework for smart metering in smart grids using multi-objective particle swarm optimisation. (2017)
- Main Title:
- Multi objective optimisation framework for smart metering in smart grids using multi-objective particle swarm optimisation
- Authors:
- Bansal, Pooja
Singh, Ajmer - Abstract:
- Demand of electricity is increasing day by day. One major consumer of electricity is residential sector. Smart grid offers demand response management to handle such increasing demand. In home energy management system (HEMS), demand response is implemented using smart meters. In this paper, an algorithm is proposed to optimise the demand in home environment and unease level of user is also cared about at the same time. The proposed algorithm is implemented using multi-objective optimisation framework. It is evident from results that cost of electricity is reduced because of optimal demand and on the other hand, unease level of user is within the acceptable limit.
- Is Part Of:
- International journal of digital signals and smart systems. Volume 1:Number 1(2017)
- Journal:
- International journal of digital signals and smart systems
- Issue:
- Volume 1:Number 1(2017)
- Issue Display:
- Volume 1, Issue 1 (2017)
- Year:
- 2017
- Volume:
- 1
- Issue:
- 1
- Issue Sort Value:
- 2017-0001-0001-0000
- Page Start:
- 43
- Page End:
- 51
- Publication Date:
- 2017
- Subjects:
- smart grid -- smart meter -- energy management -- multi objective optimisation
- Journal URLs:
- http://www.inderscience.com/jhome.php?jcode=IJDSSS#issue ↗
http://www.inderscience.com/ ↗ - Languages:
- English
- ISSNs:
- 2398-0311
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 9036.xml