Hydrothermal scheduling problem using evolutionary algorithms

This report presents the different variants of differential evolution algorithms like SHADE, L-SHADE, L-SHADE Sinusoidal and Local Search for solving the hydrothermal scheduling problem. In this dissertation, the most effective algorithm which is L-SHADE sinusoidal will be used to solve the hydr...

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Main Author: Lim, Darren Wei Chin
Other Authors: Ponnuthurai Nagaratnam Suganthan
Format: Final Year Project
Language:English
Published: 2017
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Online Access:http://hdl.handle.net/10356/70824
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-708242023-07-07T16:48:05Z Hydrothermal scheduling problem using evolutionary algorithms Lim, Darren Wei Chin Ponnuthurai Nagaratnam Suganthan School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering This report presents the different variants of differential evolution algorithms like SHADE, L-SHADE, L-SHADE Sinusoidal and Local Search for solving the hydrothermal scheduling problem. In this dissertation, the most effective algorithm which is L-SHADE sinusoidal will be used to solve the hydrothermal scheduling with the consideration of nonlinearities like valve point loading of the thermal unit and prohibited operating zone of hydro units. The proposed algorithm has been tested on the multi-chain test system having four hydro units and one thermal unit. The experimental results are compared with the results reported in IEEE-Congress on Evolutionary Computation (CEC) 2011 competition problems who uses the genetic algorithm with a new Multi-Parent Crossover (MPC) and the implementation of the proposed algorithm is found effective. Bachelor of Engineering 2017-05-11T07:58:39Z 2017-05-11T07:58:39Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/70824 en Nanyang Technological University 58 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Lim, Darren Wei Chin
Hydrothermal scheduling problem using evolutionary algorithms
description This report presents the different variants of differential evolution algorithms like SHADE, L-SHADE, L-SHADE Sinusoidal and Local Search for solving the hydrothermal scheduling problem. In this dissertation, the most effective algorithm which is L-SHADE sinusoidal will be used to solve the hydrothermal scheduling with the consideration of nonlinearities like valve point loading of the thermal unit and prohibited operating zone of hydro units. The proposed algorithm has been tested on the multi-chain test system having four hydro units and one thermal unit. The experimental results are compared with the results reported in IEEE-Congress on Evolutionary Computation (CEC) 2011 competition problems who uses the genetic algorithm with a new Multi-Parent Crossover (MPC) and the implementation of the proposed algorithm is found effective.
author2 Ponnuthurai Nagaratnam Suganthan
author_facet Ponnuthurai Nagaratnam Suganthan
Lim, Darren Wei Chin
format Final Year Project
author Lim, Darren Wei Chin
author_sort Lim, Darren Wei Chin
title Hydrothermal scheduling problem using evolutionary algorithms
title_short Hydrothermal scheduling problem using evolutionary algorithms
title_full Hydrothermal scheduling problem using evolutionary algorithms
title_fullStr Hydrothermal scheduling problem using evolutionary algorithms
title_full_unstemmed Hydrothermal scheduling problem using evolutionary algorithms
title_sort hydrothermal scheduling problem using evolutionary algorithms
publishDate 2017
url http://hdl.handle.net/10356/70824
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