Distributed economic dispatch for smart grid with random wind power
Economic dispatch (ED) is a study on the distribution of power in the system. Solving an Economic dispatch problem helps to achieve the most cost-efficient while fully utilizing the generator and meeting the load demand of the whole system. The traditional method of solving ED problems uses centr...
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sg-ntu-dr.10356-1576952023-07-07T19:06:22Z Distributed economic dispatch for smart grid with random wind power Muhammad Hisham Mohd Saleh Wen Changyun School of Electrical and Electronic Engineering ECYWEN@ntu.edu.sg Engineering::Electrical and electronic engineering Economic dispatch (ED) is a study on the distribution of power in the system. Solving an Economic dispatch problem helps to achieve the most cost-efficient while fully utilizing the generator and meeting the load demand of the whole system. The traditional method of solving ED problems uses centralized methods; however, for this project, the distributed methods are used to implement the algorithm. The optimization in distributed method occurs at local agents; by creating an algorithm that allows each agent to communicate with the neighbor and iteratively estimate to achieve the optimal solution in a distributed way. In this project, the algorithms are created to attain the total load demand of the system in a distributed manner and by using distributed projected gradient method to achieve the optimal solution in solving the ED problem. In the implementation of the algorithm, both the thermal generator and the wind turbine are taken into account. The algorithm is tested on the 6-bus system and 30-Bus system. Bachelor of Engineering (Electrical and Electronic Engineering) 2022-05-29T12:47:37Z 2022-05-29T12:47:37Z 2022 Final Year Project (FYP) Muhammad Hisham Mohd Saleh (2022). Distributed economic dispatch for smart grid with random wind power. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157695 https://hdl.handle.net/10356/157695 en A1166-211 application/pdf Nanyang Technological University |
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Engineering::Electrical and electronic engineering Muhammad Hisham Mohd Saleh Distributed economic dispatch for smart grid with random wind power |
description |
Economic dispatch (ED) is a study on the distribution of power in the system. Solving
an Economic dispatch problem helps to achieve the most cost-efficient while fully utilizing the
generator and meeting the load demand of the whole system. The traditional method of solving
ED problems uses centralized methods; however, for this project, the distributed methods are
used to implement the algorithm. The optimization in distributed method occurs at local agents;
by creating an algorithm that allows each agent to communicate with the neighbor and
iteratively estimate to achieve the optimal solution in a distributed way.
In this project, the algorithms are created to attain the total load demand of the system
in a distributed manner and by using distributed projected gradient method to achieve the
optimal solution in solving the ED problem. In the implementation of the algorithm, both the
thermal generator and the wind turbine are taken into account. The algorithm is tested on the
6-bus system and 30-Bus system. |
author2 |
Wen Changyun |
author_facet |
Wen Changyun Muhammad Hisham Mohd Saleh |
format |
Final Year Project |
author |
Muhammad Hisham Mohd Saleh |
author_sort |
Muhammad Hisham Mohd Saleh |
title |
Distributed economic dispatch for smart grid with random wind power |
title_short |
Distributed economic dispatch for smart grid with random wind power |
title_full |
Distributed economic dispatch for smart grid with random wind power |
title_fullStr |
Distributed economic dispatch for smart grid with random wind power |
title_full_unstemmed |
Distributed economic dispatch for smart grid with random wind power |
title_sort |
distributed economic dispatch for smart grid with random wind power |
publisher |
Nanyang Technological University |
publishDate |
2022 |
url |
https://hdl.handle.net/10356/157695 |
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1772828847294644224 |