Simulation study of demand response models and strategies

In recent years, electric power systems are experiencing a paradigm shift where we see renewable power generations continue to grow. At the same time power consumers are also becoming more involved in clean energy generation such as solar power for personal usage. Hence, consumers are no longer dep...

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Main Author: Setiawan, Norvin
Other Authors: Hu Guoqiang
Format: Final Year Project
Language:English
Published: 2018
Subjects:
Online Access:http://hdl.handle.net/10356/75116
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-751162023-07-07T16:17:32Z Simulation study of demand response models and strategies Setiawan, Norvin Hu Guoqiang School of Electrical and Electronic Engineering DRNTU::Engineering In recent years, electric power systems are experiencing a paradigm shift where we see renewable power generations continue to grow. At the same time power consumers are also becoming more involved in clean energy generation such as solar power for personal usage. Hence, consumers are no longer depending on the traditional power systems as the only centralized solution for providing electricity. Electricity generation and distribution has become more efficient in recent years with smart grid. Demand Response (DR) offers an extensive support to smart grid technologies and complement one another in the system operation. This report surveys the integration of smart grid with DR and potential benefits for the players in the market. Results have shown that by applying DR, there is a reduction of 8.5% or more the annual peak demand. Innovative technologies and systems of smart grids will be discussed with reference to real time case studies. Bachelor of Engineering 2018-05-28T06:34:35Z 2018-05-28T06:34:35Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/75116 en Nanyang Technological University 66 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering
spellingShingle DRNTU::Engineering
Setiawan, Norvin
Simulation study of demand response models and strategies
description In recent years, electric power systems are experiencing a paradigm shift where we see renewable power generations continue to grow. At the same time power consumers are also becoming more involved in clean energy generation such as solar power for personal usage. Hence, consumers are no longer depending on the traditional power systems as the only centralized solution for providing electricity. Electricity generation and distribution has become more efficient in recent years with smart grid. Demand Response (DR) offers an extensive support to smart grid technologies and complement one another in the system operation. This report surveys the integration of smart grid with DR and potential benefits for the players in the market. Results have shown that by applying DR, there is a reduction of 8.5% or more the annual peak demand. Innovative technologies and systems of smart grids will be discussed with reference to real time case studies.
author2 Hu Guoqiang
author_facet Hu Guoqiang
Setiawan, Norvin
format Final Year Project
author Setiawan, Norvin
author_sort Setiawan, Norvin
title Simulation study of demand response models and strategies
title_short Simulation study of demand response models and strategies
title_full Simulation study of demand response models and strategies
title_fullStr Simulation study of demand response models and strategies
title_full_unstemmed Simulation study of demand response models and strategies
title_sort simulation study of demand response models and strategies
publishDate 2018
url http://hdl.handle.net/10356/75116
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