Optimal sizing and multi-energy management strategy for PV-biofuel-based off-grid systems
This study proposes a comprehensive framework for developing a multi-energy off-grid microgrid with the decoupled flow of thermal and electrical energies in a rural setting. A carbon-neutral microgrid with a hybrid generation system constituting a photovoltaic unit and a biofuel generator is propose...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2019-12-01
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| Series: | IET Smart Grid |
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| Online Access: | https://digital-library.theiet.org/content/journals/10.1049/iet-stg.2019.0178 |
| _version_ | 1819180361425354752 |
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| author | Arun Kumar V Sumedha Sharma Ashu Verma |
| author_facet | Arun Kumar V Sumedha Sharma Ashu Verma |
| author_sort | Arun Kumar V |
| collection | DOAJ |
| description | This study proposes a comprehensive framework for developing a multi-energy off-grid microgrid with the decoupled flow of thermal and electrical energies in a rural setting. A carbon-neutral microgrid with a hybrid generation system constituting a photovoltaic unit and a biofuel generator is proposed. In order to enhance the fuel utilisation efficiency, the biofuel generator is operated in combined cooling, heating, and power mode, and the recovered thermal energy forms the heat distribution network in the microgrid. The flexibility of system operation is improved by suitable multi-energy (electrical and thermal) storage. Firstly, an optimal sizing framework has been developed for the system as a mixed integer linear programming model. Secondly, a coordinated multi-energy management system (MEMS) has been developed for combined optimal dispatch of multiple generation and storage resources. The MEMS has been developed as a mixed integer non-linear programming model, which minimises system operational cost while considering minimum battery degradation to prolong its lifetime. Finally, a detailed economic analysis of the proposed system has been presented, highlighting the levellised cost of energy and net present value. Extensive case studies and simulation results depict the effectiveness and suitability of the proposed MEMS for the rural off-grid microgrid. |
| first_indexed | 2024-12-22T22:13:07Z |
| format | Article |
| id | doaj.art-558bcd77ce0a4863831d78bc2c69c182 |
| institution | Directory Open Access Journal |
| issn | 2515-2947 |
| language | English |
| last_indexed | 2024-12-22T22:13:07Z |
| publishDate | 2019-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Smart Grid |
| spelling | doaj.art-558bcd77ce0a4863831d78bc2c69c1822022-12-21T18:10:51ZengWileyIET Smart Grid2515-29472019-12-0110.1049/iet-stg.2019.0178IET-STG.2019.0178Optimal sizing and multi-energy management strategy for PV-biofuel-based off-grid systemsArun Kumar V0Sumedha Sharma1Ashu Verma2Centre for Energy Studies, Indian Institute of Technology DelhiCentre for Energy Studies, Indian Institute of Technology DelhiCentre for Energy Studies, Indian Institute of Technology DelhiThis study proposes a comprehensive framework for developing a multi-energy off-grid microgrid with the decoupled flow of thermal and electrical energies in a rural setting. A carbon-neutral microgrid with a hybrid generation system constituting a photovoltaic unit and a biofuel generator is proposed. In order to enhance the fuel utilisation efficiency, the biofuel generator is operated in combined cooling, heating, and power mode, and the recovered thermal energy forms the heat distribution network in the microgrid. The flexibility of system operation is improved by suitable multi-energy (electrical and thermal) storage. Firstly, an optimal sizing framework has been developed for the system as a mixed integer linear programming model. Secondly, a coordinated multi-energy management system (MEMS) has been developed for combined optimal dispatch of multiple generation and storage resources. The MEMS has been developed as a mixed integer non-linear programming model, which minimises system operational cost while considering minimum battery degradation to prolong its lifetime. Finally, a detailed economic analysis of the proposed system has been presented, highlighting the levellised cost of energy and net present value. Extensive case studies and simulation results depict the effectiveness and suitability of the proposed MEMS for the rural off-grid microgrid.https://digital-library.theiet.org/content/journals/10.1049/iet-stg.2019.0178nonlinear programmingenergy management systemscogenerationbiofuelhybrid power systemslinear programminginteger programmingphotovoltaic power systemsdistributed power generationpower generation economicspv-biofuel-based off-grid systemsdecoupled flowrural settingcarbon-neutral microgridhybrid generation systemphotovoltaic unitbiofuel generatorfuel utilisation efficiencyrecovered thermal energy formsheat distribution networksystem operationoptimal sizing frameworkmixed integer linear programming modelmultienergy management systemmemscombined optimal dispatchstorage resourcesmixed integer nonlinear programming modelsystem operational costcombined cooling heating and power modemulti-energy off-grid microgridlevelised cost of energynet present value |
| spellingShingle | Arun Kumar V Sumedha Sharma Ashu Verma Optimal sizing and multi-energy management strategy for PV-biofuel-based off-grid systems IET Smart Grid nonlinear programming energy management systems cogeneration biofuel hybrid power systems linear programming integer programming photovoltaic power systems distributed power generation power generation economics pv-biofuel-based off-grid systems decoupled flow rural setting carbon-neutral microgrid hybrid generation system photovoltaic unit biofuel generator fuel utilisation efficiency recovered thermal energy forms heat distribution network system operation optimal sizing framework mixed integer linear programming model multienergy management system mems combined optimal dispatch storage resources mixed integer nonlinear programming model system operational cost combined cooling heating and power mode multi-energy off-grid microgrid levelised cost of energy net present value |
| title | Optimal sizing and multi-energy management strategy for PV-biofuel-based off-grid systems |
| title_full | Optimal sizing and multi-energy management strategy for PV-biofuel-based off-grid systems |
| title_fullStr | Optimal sizing and multi-energy management strategy for PV-biofuel-based off-grid systems |
| title_full_unstemmed | Optimal sizing and multi-energy management strategy for PV-biofuel-based off-grid systems |
| title_short | Optimal sizing and multi-energy management strategy for PV-biofuel-based off-grid systems |
| title_sort | optimal sizing and multi energy management strategy for pv biofuel based off grid systems |
| topic | nonlinear programming energy management systems cogeneration biofuel hybrid power systems linear programming integer programming photovoltaic power systems distributed power generation power generation economics pv-biofuel-based off-grid systems decoupled flow rural setting carbon-neutral microgrid hybrid generation system photovoltaic unit biofuel generator fuel utilisation efficiency recovered thermal energy forms heat distribution network system operation optimal sizing framework mixed integer linear programming model multienergy management system mems combined optimal dispatch storage resources mixed integer nonlinear programming model system operational cost combined cooling heating and power mode multi-energy off-grid microgrid levelised cost of energy net present value |
| url | https://digital-library.theiet.org/content/journals/10.1049/iet-stg.2019.0178 |
| work_keys_str_mv | AT arunkumarv optimalsizingandmultienergymanagementstrategyforpvbiofuelbasedoffgridsystems AT sumedhasharma optimalsizingandmultienergymanagementstrategyforpvbiofuelbasedoffgridsystems AT ashuverma optimalsizingandmultienergymanagementstrategyforpvbiofuelbasedoffgridsystems |