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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2023
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| _version_ | 1833351354917060608 |
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| author | Muhamad Razali N.M. Hashim A.H. |
| author2 | 36440450000 |
| author_facet | 36440450000 Muhamad Razali N.M. Hashim A.H. |
| author_sort | Muhamad Razali N.M. |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| 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. |
| format | Conference paper |
| id | my.uniten.dspace-30597 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2023 |
| 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 |
| 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 |
| title | 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_short | Profit-based optimal generation scheduling of a microgrid |
| title_sort | profit-based optimal generation scheduling of a microgrid |
| 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 |
| url_provider | http://dspace.uniten.edu.my/ |