Real-time demand response for energy management in smart grid

Electricity demand has been growing continuously as the industrialization process develops rapidly. The procurement of additional infrastructures is boosted to meet consumer rising demand. Adoption of an energy management system (EMS) will help electricity producer to optimize electricity generation...

Full description

Saved in:
Bibliographic Details
Main Author: Nurrachman, Rumaisa Rachman
Other Authors: Gooi Hoay Beng
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2021
Subjects:
Online Access:https://hdl.handle.net/10356/150135
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-150135
record_format dspace
spelling sg-ntu-dr.10356-1501352023-07-07T18:33:34Z Real-time demand response for energy management in smart grid Nurrachman, Rumaisa Rachman Gooi Hoay Beng School of Electrical and Electronic Engineering EHBGOOI@ntu.edu.sg Engineering::Electrical and electronic engineering Electricity demand has been growing continuously as the industrialization process develops rapidly. The procurement of additional infrastructures is boosted to meet consumer rising demand. Adoption of an energy management system (EMS) will help electricity producer to optimize electricity generation and consumer to use energy more efficiently. Smart Grid system incorporates intelligence information and communication technology (ICT), a smart meter that will enable two-way communications between utility company and energy consumer. The demand response scheme has been incorporated in Smart Grid as one of the key characteristics. Consumers manage their demand accordingly to the dynamic pricing over time which could help to improve grid system reliability, efficiency and economics. This report will introduce a distributed real-time algorithm to compute the optimal solution of the primal problem by decoupling it into smaller subproblems. As the computation will be done in a parallel manner, private information of users is not compromised. The scope of the report is also to take into consideration energy storage system in order to minimize peak-to-average ratio (PAR) and both temporal-spatial constraints. Bachelor of Engineering (Electrical and Electronic Engineering) 2021-06-12T08:52:42Z 2021-06-12T08:52:42Z 2021 Final Year Project (FYP) Nurrachman, R. R. (2021). Real-time demand response for energy management in smart grid. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/150135 https://hdl.handle.net/10356/150135 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
spellingShingle Engineering::Electrical and electronic engineering
Nurrachman, Rumaisa Rachman
Real-time demand response for energy management in smart grid
description Electricity demand has been growing continuously as the industrialization process develops rapidly. The procurement of additional infrastructures is boosted to meet consumer rising demand. Adoption of an energy management system (EMS) will help electricity producer to optimize electricity generation and consumer to use energy more efficiently. Smart Grid system incorporates intelligence information and communication technology (ICT), a smart meter that will enable two-way communications between utility company and energy consumer. The demand response scheme has been incorporated in Smart Grid as one of the key characteristics. Consumers manage their demand accordingly to the dynamic pricing over time which could help to improve grid system reliability, efficiency and economics. This report will introduce a distributed real-time algorithm to compute the optimal solution of the primal problem by decoupling it into smaller subproblems. As the computation will be done in a parallel manner, private information of users is not compromised. The scope of the report is also to take into consideration energy storage system in order to minimize peak-to-average ratio (PAR) and both temporal-spatial constraints.
author2 Gooi Hoay Beng
author_facet Gooi Hoay Beng
Nurrachman, Rumaisa Rachman
format Final Year Project
author Nurrachman, Rumaisa Rachman
author_sort Nurrachman, Rumaisa Rachman
title Real-time demand response for energy management in smart grid
title_short Real-time demand response for energy management in smart grid
title_full Real-time demand response for energy management in smart grid
title_fullStr Real-time demand response for energy management in smart grid
title_full_unstemmed Real-time demand response for energy management in smart grid
title_sort real-time demand response for energy management in smart grid
publisher Nanyang Technological University
publishDate 2021
url https://hdl.handle.net/10356/150135
_version_ 1772827402764812288