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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Main Author: Goh, Qian Wei
Other Authors: Wen Changyun
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/167703
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author Goh, Qian Wei
author2 Wen Changyun
author_facet Wen Changyun
Goh, Qian Wei
author_sort Goh, Qian Wei
collection NTU
description 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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spelling ntu-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
spellingShingle Engineering::Electrical and electronic engineering
Goh, Qian Wei
An alternative learning-based approach for economic dispatch in smart grid system
title 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
title_full_unstemmed 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_sort alternative learning based approach for economic dispatch in smart grid system
topic Engineering::Electrical and electronic engineering
url https://hdl.handle.net/10356/167703
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AT gohqianwei alternativelearningbasedapproachforeconomicdispatchinsmartgridsystem