NDLI: Intelligent approach for residential load scheduling

Content Provider	IET Digital Library
Author	Mohammadi, Milad Sadat Heris, Morteza Nazari Nazerfard, Ehsan Abedi, Mehrdad Asadi, Somayeh Jebelli, Houtan
Abstract	Residential load scheduling has been introduced in recent years as a result of implementing demand response programmes in the residential sector. Up to now, studies have focussed on developing algorithms for scheduling the residential loads with the objective of reducing the electricity payment while satisfying the users’ comfort level. To aim at this goal, the user should determine the desired scheduling window for each appliance to initiate the scheduling process. Although these algorithms designed to benefit the end-users, determining the scheduling window for each appliance at the beginning of the scheduling process can be challenging. In this study, an intelligent load scheduling model is proposed to perform the scheduling with the least user intervention. The proposed model predicts the preferred scheduling window for each appliance and initiates the scheduling process. Furthermore, the degradation cost of the battery pack in the vehicle-to-grid mode is considered in the cost function. The model is applied to a case study containing plug-in hybrid electric vehicle and flexible loads such as a washing machine and dishwasher under inclining block rates and hourly pricing tariffs. The results indicate that implementing the model in a residential building can decrease the electricity payment while performing the residential load scheduling with the least user intervention.
Starting Page	4738
Ending Page	4745
Page Count	8
ISSN	17518687
Volume Number	14
e-ISSN	17518695
Issue Number	Issue 21, Nov (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/14/21
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2020.0143
Journal	IET Generation, Transmission & Distribution
Publisher Date	2020-08-13
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Building Management System Demand Side Management Desired Scheduling Window Domestic Appliances Hybrid Electric Vehicle Intelligent Load Scheduling Model Load Regulation Optimisation Technique Power Market Power System Control Power System Economics Power System Managemen Power System Operation Preferred Scheduling Window Pricing Residential Load Residential Load Scheduling Residential Sector Scheduling Scheduling Process Smart Power Grid Tariffs User Intervention
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

Dynamic demand response in smart buildings using an intelligent residential load management system

Appliances considered demand response optimisation for smart grid

Collaborative demand response in smart electric grid with virtual system operator

Aggregate domestic demand modelling for the next day direct load control applications

Hourly load shifting approach for demand side management in smart grid using grasshopper optimisation algorithm

A System Architecture for Autonomous Demand Side Load Management in Smart Buildings

Incentive-based RTP model for balanced and cost-effective smart grid

Smart energy coordination of autonomous residential home

Intelligent charge scheduling of electric vehicles in residential areas

Intelligent approach for residential load scheduling

Similar Documents

Dynamic demand response in smart buildings using an intelligent residential load management system

Appliances considered demand response optimisation for smart grid

Collaborative demand response in smart electric grid with virtual system operator

Aggregate domestic demand modelling for the next day direct load control applications

Hourly load shifting approach for demand side management in smart grid using grasshopper optimisation algorithm

A System Architecture for Autonomous Demand Side Load Management in Smart Buildings

Incentive-based RTP model for balanced and cost-effective smart grid

Smart energy coordination of autonomous residential home

Intelligent charge scheduling of electric vehicles in residential areas

Intelligent approach for residential load scheduling