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Optimal Planning Of Distributed Generation Considering Time Varying Load

Renewable energy-based Distributed Generation (DG) resources are critical for long-term energy infrastructure since they are non-polluting and limitless. The uncertainties connected with DG resources may result in specific economic and technological issues that need a thorough examination to simplif...

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Main Author: Ahmad Syahmi Aiman, Mohd Zuri
Format: Undergraduates Project Papers
Language:English
Published: 2022
Subjects:
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/39937/1/EC18055_Ahmad%20Syahmi_Thesis%20-%20Syahmi%20Aiman.pdf
http://umpir.ump.edu.my/id/eprint/39937/
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spelling my.ump.umpir.399372024-01-09T08:02:31Z http://umpir.ump.edu.my/id/eprint/39937/ Optimal Planning Of Distributed Generation Considering Time Varying Load Ahmad Syahmi Aiman, Mohd Zuri TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Renewable energy-based Distributed Generation (DG) resources are critical for long-term energy infrastructure since they are non-polluting and limitless. The uncertainties connected with DG resources may result in specific economic and technological issues that need a thorough examination to simplify their integration into the Distribution System (DS). This thesis examines the influence of time-varying load modeling on photovoltaic (PV)-based DG planning. The purpose of this thesis is to present an effective combination method based on Backward Forward Sweep Power Flow (BFSPF) and Mix Integer Optimization by Genetic Algorithm (MIOGA) to solve the network problem in the presence of DG with the purpose of developing power flow for radial distribution system by considering time-varying load, optimize the sitting and sizing of the DG in the radial distribution network for the loss minimization and voltage improvement and make comparison radial distribution network with single and multi-DG by considering time varying load condition. In a radial distribution network, MIOGA is utilized to find the best value for DG size concurrently. The effect of a technique based on the MIOGA algorithm to find the minimal configuration on network actual power losses and voltage profiles is examined. The performance and effectiveness of the recommended technique are demonstrated using the IEEE 33- bus test system. With the installation of PVDG, the simulation results show a reduction in overall power loss and an improvement in voltage magnitudes for the network. PVDG installation can minimize power loss by up to 33%, according to the findings. Aside from lowering losses, installing DG with MIOGA also helps to enhance the voltage profile of the radial distribution network. According to the results, the MIOGA algorithm is best at reducing actual power loss and improving voltage profiles, and it may be utilized to make distribution network planning decisions. 2022-06 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/39937/1/EC18055_Ahmad%20Syahmi_Thesis%20-%20Syahmi%20Aiman.pdf Ahmad Syahmi Aiman, Mohd Zuri (2022) Optimal Planning Of Distributed Generation Considering Time Varying Load. College of Engineering, Universiti Malaysia Pahang Al-Sultan Abdullah.
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Ahmad Syahmi Aiman, Mohd Zuri
Optimal Planning Of Distributed Generation Considering Time Varying Load
description Renewable energy-based Distributed Generation (DG) resources are critical for long-term energy infrastructure since they are non-polluting and limitless. The uncertainties connected with DG resources may result in specific economic and technological issues that need a thorough examination to simplify their integration into the Distribution System (DS). This thesis examines the influence of time-varying load modeling on photovoltaic (PV)-based DG planning. The purpose of this thesis is to present an effective combination method based on Backward Forward Sweep Power Flow (BFSPF) and Mix Integer Optimization by Genetic Algorithm (MIOGA) to solve the network problem in the presence of DG with the purpose of developing power flow for radial distribution system by considering time-varying load, optimize the sitting and sizing of the DG in the radial distribution network for the loss minimization and voltage improvement and make comparison radial distribution network with single and multi-DG by considering time varying load condition. In a radial distribution network, MIOGA is utilized to find the best value for DG size concurrently. The effect of a technique based on the MIOGA algorithm to find the minimal configuration on network actual power losses and voltage profiles is examined. The performance and effectiveness of the recommended technique are demonstrated using the IEEE 33- bus test system. With the installation of PVDG, the simulation results show a reduction in overall power loss and an improvement in voltage magnitudes for the network. PVDG installation can minimize power loss by up to 33%, according to the findings. Aside from lowering losses, installing DG with MIOGA also helps to enhance the voltage profile of the radial distribution network. According to the results, the MIOGA algorithm is best at reducing actual power loss and improving voltage profiles, and it may be utilized to make distribution network planning decisions.
format Undergraduates Project Papers
author Ahmad Syahmi Aiman, Mohd Zuri
author_facet Ahmad Syahmi Aiman, Mohd Zuri
author_sort Ahmad Syahmi Aiman, Mohd Zuri
title Optimal Planning Of Distributed Generation Considering Time Varying Load
title_short Optimal Planning Of Distributed Generation Considering Time Varying Load
title_full Optimal Planning Of Distributed Generation Considering Time Varying Load
title_fullStr Optimal Planning Of Distributed Generation Considering Time Varying Load
title_full_unstemmed Optimal Planning Of Distributed Generation Considering Time Varying Load
title_sort optimal planning of distributed generation considering time varying load
publishDate 2022
url http://umpir.ump.edu.my/id/eprint/39937/1/EC18055_Ahmad%20Syahmi_Thesis%20-%20Syahmi%20Aiman.pdf
http://umpir.ump.edu.my/id/eprint/39937/
_version_ 1822924068183080960
score 13.232414

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