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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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 |
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DRNTU::Engineering Setiawan, Norvin Simulation study of demand response models and strategies |
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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. |
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Hu Guoqiang |
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Hu Guoqiang Setiawan, Norvin |
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Final Year Project |
author |
Setiawan, Norvin |
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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 |
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simulation study of demand response models and strategies |
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2018 |
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http://hdl.handle.net/10356/75116 |
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1772827724505677824 |