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Profit-based optimal generation scheduling of a microgrid

The paper proposes a formulation for profit-based optimal generation scheduling by a microgrid (?grid). Current methods normally assume either islanded operation, or utilitygrid connected ?grid but lacking in market participation elements. The paper addresses this gap whereby the formulated objectiv...

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Main Authors:	Muhamad Razali N.M., Hashim A.H.
Other Authors:	36440450000
Format:	Conference paper
Published:	2023
Subjects:	Generation scheduling Genetic algorithm Microgrid Optimization Decision making Genetic algorithms Profitability Scheduling algorithms Turbines Wind power Autonomous decision Distributed Generation Grid-connected Islanded operation Micro grid Micro turbine Objective functions Optimal dispatch Optimal generation Optimization problems Photovoltaic arrays System constraints Tropical conditions Mesh generation
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id	my.uniten.dspace-30597
record_format	dspace
spelling	my.uniten.dspace-305972023-12-29T15:50:03Z Profit-based optimal generation scheduling of a microgrid Muhamad Razali N.M. Hashim A.H. 36440450000 24447656300 Generation scheduling Genetic algorithm Microgrid Optimization Decision making Genetic algorithms Optimization Profitability Scheduling algorithms Turbines Wind power Autonomous decision Distributed Generation Generation scheduling Grid-connected Islanded operation Micro grid Micro turbine Objective functions Optimal dispatch Optimal generation Optimization problems Photovoltaic arrays System constraints Tropical conditions Mesh generation The paper proposes a formulation for profit-based optimal generation scheduling by a microgrid (?grid). Current methods normally assume either islanded operation, or utilitygrid connected ?grid but lacking in market participation elements. The paper addresses this gap whereby the formulated objective function allows for autonomous decision-making to determine the hour by hour optimal dispatch of generators subject to system constraints including market parameters. The distributed generations in the modelled ?grid consist of wind turbines, microturbines and photovoltaic arrays while the system inputs are based on tropical conditions. A case study on the difference between grid-connected and islanded operation is presented. The results demonstrate the efficiency of using genetic algorithm to solve the optimization problem. �2010 IEEE. Final 2023-12-29T07:50:03Z 2023-12-29T07:50:03Z 2010 Conference paper 10.1109/PEOCO.2010.5559244 2-s2.0-77957982700 https://www.scopus.com/inward/record.uri?eid=2-s2.0-77957982700&doi=10.1109%2fPEOCO.2010.5559244&partnerID=40&md5=4a592ae4a750045c5af36f3c751de71d https://irepository.uniten.edu.my/handle/123456789/30597 5559244 232 237 Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
topic	Generation scheduling Genetic algorithm Microgrid Optimization Decision making Genetic algorithms Optimization Profitability Scheduling algorithms Turbines Wind power Autonomous decision Distributed Generation Generation scheduling Grid-connected Islanded operation Micro grid Micro turbine Objective functions Optimal dispatch Optimal generation Optimization problems Photovoltaic arrays System constraints Tropical conditions Mesh generation
spellingShingle	Generation scheduling Genetic algorithm Microgrid Optimization Decision making Genetic algorithms Optimization Profitability Scheduling algorithms Turbines Wind power Autonomous decision Distributed Generation Generation scheduling Grid-connected Islanded operation Micro grid Micro turbine Objective functions Optimal dispatch Optimal generation Optimization problems Photovoltaic arrays System constraints Tropical conditions Mesh generation Muhamad Razali N.M. Hashim A.H. Profit-based optimal generation scheduling of a microgrid
description	The paper proposes a formulation for profit-based optimal generation scheduling by a microgrid (?grid). Current methods normally assume either islanded operation, or utilitygrid connected ?grid but lacking in market participation elements. The paper addresses this gap whereby the formulated objective function allows for autonomous decision-making to determine the hour by hour optimal dispatch of generators subject to system constraints including market parameters. The distributed generations in the modelled ?grid consist of wind turbines, microturbines and photovoltaic arrays while the system inputs are based on tropical conditions. A case study on the difference between grid-connected and islanded operation is presented. The results demonstrate the efficiency of using genetic algorithm to solve the optimization problem. �2010 IEEE.
author2	36440450000
author_facet	36440450000 Muhamad Razali N.M. Hashim A.H.
format	Conference paper
author	Muhamad Razali N.M. Hashim A.H.
author_sort	Muhamad Razali N.M.
title	Profit-based optimal generation scheduling of a microgrid
title_short	Profit-based optimal generation scheduling of a microgrid
title_full	Profit-based optimal generation scheduling of a microgrid
title_fullStr	Profit-based optimal generation scheduling of a microgrid
title_full_unstemmed	Profit-based optimal generation scheduling of a microgrid
title_sort	profit-based optimal generation scheduling of a microgrid
publishDate	2023
_version_	1806425598359240704
score	13.222552

Profit-based optimal generation scheduling of a microgrid

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