ADMM based demand response scheme design for the future smart grid

This is a final year project report that displaysand presentsthe research and work that have been completed pertaining on the ADMM based demand response scheme design for the future smart grid. To develop an Alternating Direction Method of Multipliers (ADMM) based demand response algorithm which c...

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Main Author: Muhammad Mustaqim Mustafah
Other Authors: Soh Cheong Boon
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2020
Subjects:
Online Access:https://hdl.handle.net/10356/139378
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-1393782023-07-07T18:54:07Z ADMM based demand response scheme design for the future smart grid Muhammad Mustaqim Mustafah Soh Cheong Boon School of Electrical and Electronic Engineering ecbsoh@ntu.edu.sg Engineering::Electrical and electronic engineering This is a final year project report that displaysand presentsthe research and work that have been completed pertaining on the ADMM based demand response scheme design for the future smart grid. To develop an Alternating Direction Method of Multipliers (ADMM) based demand response algorithm which could illuminate the current optimization problem is the main goal for this project.. Severaldemand response programsimplemented bytheutility companyon these days. Demand response (DR) is implemented to manage the energy consumption at the customer side to benefitand profitboth customers and utility companies through an intelligent resource scheduling method. The current programsolves the optimization problem in a centralized manner. DR permits users/consumers to controltheir energy and power consumptions expenditure which will benefit both the buyer and utilities company. The goal is to use the ADMM based response scheme to solve the optimization problem above in adecentralizedand parallel way which guarantees user’s confidentialityand relieves computational stress[1].The ADMMis an algorithm that solves convex optimization issues. It breaksthem down into smaller problemso that they can be managed easily. It permits the optimization issues to be performedin parallel and it is conjointly extraordinarily economical in updating the target operation. It extends the decomposition plan to augmented Lagrangian where it iteratively solves a smaller problem with relevance to the target operation. On the other hand, as the Plug-in Electric Vehicles (PEV) became significantly popular in recent years, thanks to its energy efficiency, quiet driving experience, elimination of harmful CO2 emission and, a less expensive alternative to their gasoline-powered counterparts. Subsequently, the rise in PEV population willhave a significant effect on the electrical grid with a surge in electrical demand.Consequently, the demand response of the amalgamation of plug-in electrical vehicles (PEV) will be achieved into the power network. In addition, consumers have the opportunity and flexibility in changing the usage pattern by scheduling their load wisely and to charge once electrical price is low. Bachelor of Engineering (Electrical and Electronic Engineering) 2020-05-19T05:52:13Z 2020-05-19T05:52:13Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/139378 en A1145-191 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
Muhammad Mustaqim Mustafah
ADMM based demand response scheme design for the future smart grid
description This is a final year project report that displaysand presentsthe research and work that have been completed pertaining on the ADMM based demand response scheme design for the future smart grid. To develop an Alternating Direction Method of Multipliers (ADMM) based demand response algorithm which could illuminate the current optimization problem is the main goal for this project.. Severaldemand response programsimplemented bytheutility companyon these days. Demand response (DR) is implemented to manage the energy consumption at the customer side to benefitand profitboth customers and utility companies through an intelligent resource scheduling method. The current programsolves the optimization problem in a centralized manner. DR permits users/consumers to controltheir energy and power consumptions expenditure which will benefit both the buyer and utilities company. The goal is to use the ADMM based response scheme to solve the optimization problem above in adecentralizedand parallel way which guarantees user’s confidentialityand relieves computational stress[1].The ADMMis an algorithm that solves convex optimization issues. It breaksthem down into smaller problemso that they can be managed easily. It permits the optimization issues to be performedin parallel and it is conjointly extraordinarily economical in updating the target operation. It extends the decomposition plan to augmented Lagrangian where it iteratively solves a smaller problem with relevance to the target operation. On the other hand, as the Plug-in Electric Vehicles (PEV) became significantly popular in recent years, thanks to its energy efficiency, quiet driving experience, elimination of harmful CO2 emission and, a less expensive alternative to their gasoline-powered counterparts. Subsequently, the rise in PEV population willhave a significant effect on the electrical grid with a surge in electrical demand.Consequently, the demand response of the amalgamation of plug-in electrical vehicles (PEV) will be achieved into the power network. In addition, consumers have the opportunity and flexibility in changing the usage pattern by scheduling their load wisely and to charge once electrical price is low.
author2 Soh Cheong Boon
author_facet Soh Cheong Boon
Muhammad Mustaqim Mustafah
format Final Year Project
author Muhammad Mustaqim Mustafah
author_sort Muhammad Mustaqim Mustafah
title ADMM based demand response scheme design for the future smart grid
title_short ADMM based demand response scheme design for the future smart grid
title_full ADMM based demand response scheme design for the future smart grid
title_fullStr ADMM based demand response scheme design for the future smart grid
title_full_unstemmed ADMM based demand response scheme design for the future smart grid
title_sort admm based demand response scheme design for the future smart grid
publisher Nanyang Technological University
publishDate 2020
url https://hdl.handle.net/10356/139378
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