NDLI: Day-ahead demand side management using symbiotic organisms search algorithm

Content Provider	IET Digital Library
Author	Niharika Mukherjee, Vivekananda
Abstract	According to the present scenario, as demand for electricity has increased both in terms of base load energy and peak availability, it is vital to emphasise on the concept of demand side management (DSM). DSM assures efficient utilisation of facilities by managing the energy resources of the customers and optimally modifying their energy demand profiles. It is extremely useful for the power industry to integrate the smart grids with a DSM framework for achieving a sustainable energy goal. This study focuses on modelling of DSM using a day-ahead load shifting approach as a minimisation problem. For optimisation purpose, symbiotic organisms search (SOS) algorithm has been used. A platform independent of the control parameter is unique and exhibits paramount features of this algorithm. The formulated work has been tested on different areas of smart grid applications viz. residential, commercial and industrial types of customers. A comparison of outcomes, obtained from several algorithms with the proposed SOS algorithm, has been carried out on the basis of peak load reduction leading to lessening of a utility bill. Finally, it is proven that demand management, while using the SOS approach, exhibits better accuracy than the other algorithms compared in the present framework.
Starting Page	3487
Ending Page	3494
Page Count	8
ISSN	17518687
Volume Number	12
e-ISSN	17518695
Issue Number	Issue 14, Aug (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/12/14
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2018.0106
Journal	IET Generation, Transmission & Distribution
Publisher Date	2018-05-15
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Base Load Energy Combinatorial Mathematics Control Parameter Day-ahead Demand Side Management Day-ahead Load Shifting Approach Demand Side Management DSM Framework Energy Demand Profile Energy Resource Management Minimisation Minimisation Problem Optimisation Technique Peak Load Reduction Power Industry Power System Economics Power System Managemen Power System Operation Search Problem Smart Grid Smart Power Grid SOS Algorithm Symbiotic Organisms Search Algorithm Utility Bill
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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