Optimization of power load for the power distribution in the smart grids

The Smart Grid (SG), is regarded as the next generation power grid,which uses two-way flows of electricity and information to create a widely distributed and automated energy delivery network. In this report, we focus our efforts to investigate the optimization problem of load dispatch contract deci...

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Bibliographic Details
Main Author: Chen, Su.
Other Authors: Ma Maode
Format: Final Year Project (FYP)
Language:English
Published: 2013
Subjects:
Online Access:http://hdl.handle.net/10356/54240
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author Chen, Su.
author2 Ma Maode
author_facet Ma Maode
Chen, Su.
author_sort Chen, Su.
collection NTU
description The Smart Grid (SG), is regarded as the next generation power grid,which uses two-way flows of electricity and information to create a widely distributed and automated energy delivery network. In this report, we focus our efforts to investigate the optimization problem of load dispatch contract decision with wind power and vehicle to grid (V2G) system integration. Our project considers a problem that a grid operator, a wind power station and a conventional power station have to decide the a contract amount of electricity supplied to the power grid to minimize the cost in the perspective of wind station. From the contract amount, grid operator can approximately know how much electricity would be supplied in the next time period T. It is advantageous for the grid to regulate the frequency and avoid risk of overproduction. V2G system has been considered as the energy storage to store the excess power for future use. An optimization problem for the load dispatch system is formulated to maximize the profit of the wind power station . The solutions of the optimization problem and numerical results is also given .
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spelling ntu-10356/542402023-07-07T15:51:10Z Optimization of power load for the power distribution in the smart grids Chen, Su. Ma Maode School of Electrical and Electronic Engineering DRNTU::Engineering The Smart Grid (SG), is regarded as the next generation power grid,which uses two-way flows of electricity and information to create a widely distributed and automated energy delivery network. In this report, we focus our efforts to investigate the optimization problem of load dispatch contract decision with wind power and vehicle to grid (V2G) system integration. Our project considers a problem that a grid operator, a wind power station and a conventional power station have to decide the a contract amount of electricity supplied to the power grid to minimize the cost in the perspective of wind station. From the contract amount, grid operator can approximately know how much electricity would be supplied in the next time period T. It is advantageous for the grid to regulate the frequency and avoid risk of overproduction. V2G system has been considered as the energy storage to store the excess power for future use. An optimization problem for the load dispatch system is formulated to maximize the profit of the wind power station . The solutions of the optimization problem and numerical results is also given . Bachelor of Engineering 2013-06-18T01:49:47Z 2013-06-18T01:49:47Z 2013 2013 Final Year Project (FYP) http://hdl.handle.net/10356/54240 en Nanyang Technological University 57 p. application/pdf
spellingShingle DRNTU::Engineering
Chen, Su.
Optimization of power load for the power distribution in the smart grids
title Optimization of power load for the power distribution in the smart grids
title_full Optimization of power load for the power distribution in the smart grids
title_fullStr Optimization of power load for the power distribution in the smart grids
title_full_unstemmed Optimization of power load for the power distribution in the smart grids
title_short Optimization of power load for the power distribution in the smart grids
title_sort optimization of power load for the power distribution in the smart grids
topic DRNTU::Engineering
url http://hdl.handle.net/10356/54240
work_keys_str_mv AT chensu optimizationofpowerloadforthepowerdistributioninthesmartgrids