Autonomous demand side management algorithm design using game theory

As Technologies is rapidly growing in this world, the important of data analyzing, data collecting, data sharing will be more significant. It is expected that Demand Side Management will become the part of our lives. In this final year project report, we represent Energy Consumption scheduler (ECS)...

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Main Author: Lee, Samuel Kwang Lun
Other Authors: Soh Cheong Boon
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2021
Subjects:
Online Access:https://hdl.handle.net/10356/150136
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1501362023-07-07T18:33:39Z Autonomous demand side management algorithm design using game theory Lee, Samuel Kwang Lun Soh Cheong Boon School of Electrical and Electronic Engineering ECBSOH@ntu.edu.sg Engineering::Electrical and electronic engineering As Technologies is rapidly growing in this world, the important of data analyzing, data collecting, data sharing will be more significant. It is expected that Demand Side Management will become the part of our lives. In this final year project report, we represent Energy Consumption scheduler (ECS) base on game theory will be designed to optimize the energy consumption and Peak-to-Average Ration (PAR). Although there are many existed demand-side management programs is focus between utility and user’s interaction. Our ECS is designed based on game theory that allow users to interact between users and do not share their information to other users. By implementing ECS, we show that energy consumption scheduling game allow users to get incentives from their participation. Also, the result can confirm that the total energy demand, PAR and individual user’s daily electricity charge will be reduce. Bachelor of Engineering (Electrical and Electronic Engineering) 2021-06-12T11:52:31Z 2021-06-12T11:52:31Z 2021 Final Year Project (FYP) Lee, S. K. L. (2021). Autonomous demand side management algorithm design using game theory. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/150136 https://hdl.handle.net/10356/150136 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
Lee, Samuel Kwang Lun
Autonomous demand side management algorithm design using game theory
description As Technologies is rapidly growing in this world, the important of data analyzing, data collecting, data sharing will be more significant. It is expected that Demand Side Management will become the part of our lives. In this final year project report, we represent Energy Consumption scheduler (ECS) base on game theory will be designed to optimize the energy consumption and Peak-to-Average Ration (PAR). Although there are many existed demand-side management programs is focus between utility and user’s interaction. Our ECS is designed based on game theory that allow users to interact between users and do not share their information to other users. By implementing ECS, we show that energy consumption scheduling game allow users to get incentives from their participation. Also, the result can confirm that the total energy demand, PAR and individual user’s daily electricity charge will be reduce.
author2 Soh Cheong Boon
author_facet Soh Cheong Boon
Lee, Samuel Kwang Lun
format Final Year Project
author Lee, Samuel Kwang Lun
author_sort Lee, Samuel Kwang Lun
title Autonomous demand side management algorithm design using game theory
title_short Autonomous demand side management algorithm design using game theory
title_full Autonomous demand side management algorithm design using game theory
title_fullStr Autonomous demand side management algorithm design using game theory
title_full_unstemmed Autonomous demand side management algorithm design using game theory
title_sort autonomous demand side management algorithm design using game theory
publisher Nanyang Technological University
publishDate 2021
url https://hdl.handle.net/10356/150136
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