An alternative learning-based approach for economic dispatch in smart grid system
The written report is based on a Final Year Project: An Alternative learning-based approach for Economic Dispatch (ED) in Smart Grid system. The ED problem has existed for many years and many research has been done to improve the approaches to optimize ED. The goal of ED is to minimize the cost of...
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2023
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sg-ntu-dr.10356-1677032023-07-07T18:01:32Z An alternative learning-based approach for economic dispatch in smart grid system Goh, Qian Wei Wen Changyun School of Electrical and Electronic Engineering ECYWEN@ntu.edu.sg Engineering::Electrical and electronic engineering The written report is based on a Final Year Project: An Alternative learning-based approach for Economic Dispatch (ED) in Smart Grid system. The ED problem has existed for many years and many research has been done to improve the approaches to optimize ED. The goal of ED is to minimize the cost of power generation while meeting the load demand and other various constraints. Most traditional Economic Dispatch approaches are computationally expensive due to the fact that most optimization procedures are iterative algorithms. A proposed approach of using Deep Neural Network (DNN) to map the relationship between input power demand and output power generated of Economic Dispatch will be discussed in this report. Bachelor of Engineering (Electrical and Electronic Engineering) 2023-05-31T08:01:13Z 2023-05-31T08:01:13Z 2023 Final Year Project (FYP) Goh, Q. W. (2023). An alternative learning-based approach for economic dispatch in smart grid system. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/167703 https://hdl.handle.net/10356/167703 en application/pdf Nanyang Technological University |
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Engineering::Electrical and electronic engineering Goh, Qian Wei An alternative learning-based approach for economic dispatch in smart grid system |
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The written report is based on a Final Year Project: An Alternative learning-based approach for Economic Dispatch (ED) in Smart Grid system.
The ED problem has existed for many years and many research has been done to improve the approaches to optimize ED. The goal of ED is to minimize the cost of power generation while meeting the load demand and other various constraints. Most traditional Economic Dispatch approaches are computationally expensive due to the fact that most optimization procedures are iterative algorithms. A proposed approach of using Deep Neural Network (DNN) to map the relationship between input power demand and output power generated of Economic Dispatch will be discussed in this report. |
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Wen Changyun |
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Wen Changyun Goh, Qian Wei |
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Final Year Project |
author |
Goh, Qian Wei |
author_sort |
Goh, Qian Wei |
title |
An alternative learning-based approach for economic dispatch in smart grid system |
title_short |
An alternative learning-based approach for economic dispatch in smart grid system |
title_full |
An alternative learning-based approach for economic dispatch in smart grid system |
title_fullStr |
An alternative learning-based approach for economic dispatch in smart grid system |
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An alternative learning-based approach for economic dispatch in smart grid system |
title_sort |
alternative learning-based approach for economic dispatch in smart grid system |
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Nanyang Technological University |
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2023 |
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https://hdl.handle.net/10356/167703 |
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1772827655045906432 |