Multi-time scale rolling optimal dispatch for microgrids with high renewable penetration

Renewable energy (RE) sources are known to have high intermittency and are unreliable energy sources for power systems. Measures have been taken to improve reliability, such as incorporation of energy storage (ES) systems, and backup diesel engine (DE) generators. These measures require customised p...

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Main Author: Yeo, Wen Hui
Other Authors: Gooi Hoay Beng
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
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Online Access:https://hdl.handle.net/10356/166787
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-1667872023-07-07T17:15:39Z Multi-time scale rolling optimal dispatch for microgrids with high renewable penetration Yeo, Wen Hui Gooi Hoay Beng School of Electrical and Electronic Engineering Clean Energy Research Laboratory (CERL) EHBGOOI@ntu.edu.sg Engineering::Electrical and electronic engineering::Electric power::Auxiliaries, applications and electric industries Renewable energy (RE) sources are known to have high intermittency and are unreliable energy sources for power systems. Measures have been taken to improve reliability, such as incorporation of energy storage (ES) systems, and backup diesel engine (DE) generators. These measures require customised parameters for a specific microgrid (MG). The day-ahead scheduling and intraday real-time dispatch data for all parameters of a microgrid, which are photovoltaic (PV) generation data, state of charge of ES, charging and discharging power of ES, price of electricity, buying and selling power of ES and lastly, power generation of DE, are considered. Using real-time data measured from a microgrid in Clean Energy Research Lab (CERL), NTU, the trends of the parameters have been studied to compare the impact to the day-ahead scheduling data, which is used for constant improvements of MG parameters to ensure reliability and cost-effectiveness. Bachelor of Engineering (Electrical and Electronic Engineering) 2023-05-15T01:37:54Z 2023-05-15T01:37:54Z 2023 Final Year Project (FYP) Yeo, W. H. (2023). Multi-time scale rolling optimal dispatch for microgrids with high renewable penetration. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/166787 https://hdl.handle.net/10356/166787 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering::Electric power::Auxiliaries, applications and electric industries
spellingShingle Engineering::Electrical and electronic engineering::Electric power::Auxiliaries, applications and electric industries
Yeo, Wen Hui
Multi-time scale rolling optimal dispatch for microgrids with high renewable penetration
description Renewable energy (RE) sources are known to have high intermittency and are unreliable energy sources for power systems. Measures have been taken to improve reliability, such as incorporation of energy storage (ES) systems, and backup diesel engine (DE) generators. These measures require customised parameters for a specific microgrid (MG). The day-ahead scheduling and intraday real-time dispatch data for all parameters of a microgrid, which are photovoltaic (PV) generation data, state of charge of ES, charging and discharging power of ES, price of electricity, buying and selling power of ES and lastly, power generation of DE, are considered. Using real-time data measured from a microgrid in Clean Energy Research Lab (CERL), NTU, the trends of the parameters have been studied to compare the impact to the day-ahead scheduling data, which is used for constant improvements of MG parameters to ensure reliability and cost-effectiveness.
author2 Gooi Hoay Beng
author_facet Gooi Hoay Beng
Yeo, Wen Hui
format Final Year Project
author Yeo, Wen Hui
author_sort Yeo, Wen Hui
title Multi-time scale rolling optimal dispatch for microgrids with high renewable penetration
title_short Multi-time scale rolling optimal dispatch for microgrids with high renewable penetration
title_full Multi-time scale rolling optimal dispatch for microgrids with high renewable penetration
title_fullStr Multi-time scale rolling optimal dispatch for microgrids with high renewable penetration
title_full_unstemmed Multi-time scale rolling optimal dispatch for microgrids with high renewable penetration
title_sort multi-time scale rolling optimal dispatch for microgrids with high renewable penetration
publisher Nanyang Technological University
publishDate 2023
url https://hdl.handle.net/10356/166787
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