Distributed economic dispatch for smart grid system based on Nesterov gradient method
Economic dispatch (ED) is considered as one of well-studied and key problems in the power system research. For solving ED problems normally we have centralized methods (CM) and distributed methods (DM) that can obtain the optimal solution. CM and DM have their own advantages and disadvantages, wher...
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sg-ntu-dr.10356-677802023-07-07T16:58:35Z Distributed economic dispatch for smart grid system based on Nesterov gradient method Zhao, Chen Wen Changyun School of Electrical and Electronic Engineering DRNTU::Engineering Economic dispatch (ED) is considered as one of well-studied and key problems in the power system research. For solving ED problems normally we have centralized methods (CM) and distributed methods (DM) that can obtain the optimal solution. CM and DM have their own advantages and disadvantages, whereas the future treads will focus more on distributed methods. By decomposing centralized optimization into optimizations at local agents, an algorithm is developed for each agent to iteratively estimate a solution of the optimization problem in a distributed manner with limited communication among neighbors. In this report, it will present several methods especially a distributed economic dispatch strategy based on Nesterov gradient method for the smart grid systems. With the supports of appropriate mathematics functions and algorithms, this new distributed method will be more flexible and give a faster response, which helps the power system dispatching process more economical, efficient and effective. Bachelor of Engineering 2016-05-20T07:25:53Z 2016-05-20T07:25:53Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/67780 en Nanyang Technological University 66 p. application/pdf |
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DRNTU::Engineering Zhao, Chen Distributed economic dispatch for smart grid system based on Nesterov gradient method |
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Economic dispatch (ED) is considered as one of well-studied and key problems in the power system research. For solving ED problems normally we have centralized methods (CM) and distributed methods (DM) that can obtain the optimal solution.
CM and DM have their own advantages and disadvantages, whereas the future treads will focus more on distributed methods. By decomposing centralized optimization into optimizations at local agents, an algorithm is developed for each agent to iteratively estimate a solution of the optimization problem in a distributed manner with limited communication among neighbors.
In this report, it will present several methods especially a distributed economic dispatch strategy based on Nesterov gradient method for the smart grid systems. With the supports of appropriate mathematics functions and algorithms, this new distributed method will be more flexible and give a faster response, which helps the power system dispatching process more economical, efficient and effective. |
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Wen Changyun |
author_facet |
Wen Changyun Zhao, Chen |
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Final Year Project |
author |
Zhao, Chen |
author_sort |
Zhao, Chen |
title |
Distributed economic dispatch for smart grid system based on Nesterov gradient method |
title_short |
Distributed economic dispatch for smart grid system based on Nesterov gradient method |
title_full |
Distributed economic dispatch for smart grid system based on Nesterov gradient method |
title_fullStr |
Distributed economic dispatch for smart grid system based on Nesterov gradient method |
title_full_unstemmed |
Distributed economic dispatch for smart grid system based on Nesterov gradient method |
title_sort |
distributed economic dispatch for smart grid system based on nesterov gradient method |
publishDate |
2016 |
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http://hdl.handle.net/10356/67780 |
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1772828839494287360 |