An Optimal Energy Management System (EMS) for Residential and Industrial Microgrids
This research presents an optimal scheme for the integration of renewable resources with the utility grid to minimize the operational cost of the residential and industrial microgrids. With the changing paradigm of solar photovoltaic in low-voltage distribution networks, utilities have allowed net m...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-08-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/15/17/6266 |
| _version_ | 1797495615740968960 |
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| author | M. Bilal Nasir Asif Hussain Kamran Ali Khan Niazi Mashood Nasir |
| author_facet | M. Bilal Nasir Asif Hussain Kamran Ali Khan Niazi Mashood Nasir |
| author_sort | M. Bilal Nasir |
| collection | DOAJ |
| description | This research presents an optimal scheme for the integration of renewable resources with the utility grid to minimize the operational cost of the residential and industrial microgrids. With the changing paradigm of solar photovoltaic in low-voltage distribution networks, utilities have allowed net metering and feed-in tariff (FiT). These incentives encourage residential and industrial consumers to contribute toward energy generation. However, in conventional mode, the system may underperform if resources are not scheduled optimally. To compensate for the price difference during off-peak and on-peak hours, the energy should be taken from the grid when electricity prices are lower and supplied to the grid when the electricity price is higher. The proposed models will therefore allow optimal resource utilization considering intermittent renewable generation as well as a time-varying utility tariff. A complete comparative analysis of on-grid and off-grid models was carried out. The results indicate that the daily average saving is about 32.0% by using the proposed on-grid scheme, where a feed-in tariff is available. |
| first_indexed | 2024-03-10T01:52:11Z |
| format | Article |
| id | doaj.art-9fa018015f6f4a17ba3d446b99f9c3a4 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T01:52:11Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-9fa018015f6f4a17ba3d446b99f9c3a42023-11-23T13:03:12ZengMDPI AGEnergies1996-10732022-08-011517626610.3390/en15176266An Optimal Energy Management System (EMS) for Residential and Industrial MicrogridsM. Bilal Nasir0Asif Hussain1Kamran Ali Khan Niazi2Mashood Nasir3Department of Electrical Engineering, University of Management and Technology, Lahore 54770, Punjab, PakistanDepartment of Electrical Engineering, University of Management and Technology, Lahore 54770, Punjab, PakistanDepartment of Mechanical and Production Engineering-Fluids and Energy, 8000 Aarhus, DenmarkEuropean Association of Storage of Energy, 1030 Brussels, BelgiumThis research presents an optimal scheme for the integration of renewable resources with the utility grid to minimize the operational cost of the residential and industrial microgrids. With the changing paradigm of solar photovoltaic in low-voltage distribution networks, utilities have allowed net metering and feed-in tariff (FiT). These incentives encourage residential and industrial consumers to contribute toward energy generation. However, in conventional mode, the system may underperform if resources are not scheduled optimally. To compensate for the price difference during off-peak and on-peak hours, the energy should be taken from the grid when electricity prices are lower and supplied to the grid when the electricity price is higher. The proposed models will therefore allow optimal resource utilization considering intermittent renewable generation as well as a time-varying utility tariff. A complete comparative analysis of on-grid and off-grid models was carried out. The results indicate that the daily average saving is about 32.0% by using the proposed on-grid scheme, where a feed-in tariff is available.https://www.mdpi.com/1996-1073/15/17/6266energy efficiencyenergy management system (EMS)linear programmingsmart residential schemehome energy management system (HEMS)building energy management system (BEMS) |
| spellingShingle | M. Bilal Nasir Asif Hussain Kamran Ali Khan Niazi Mashood Nasir An Optimal Energy Management System (EMS) for Residential and Industrial Microgrids Energies energy efficiency energy management system (EMS) linear programming smart residential scheme home energy management system (HEMS) building energy management system (BEMS) |
| title | An Optimal Energy Management System (EMS) for Residential and Industrial Microgrids |
| title_full | An Optimal Energy Management System (EMS) for Residential and Industrial Microgrids |
| title_fullStr | An Optimal Energy Management System (EMS) for Residential and Industrial Microgrids |
| title_full_unstemmed | An Optimal Energy Management System (EMS) for Residential and Industrial Microgrids |
| title_short | An Optimal Energy Management System (EMS) for Residential and Industrial Microgrids |
| title_sort | optimal energy management system ems for residential and industrial microgrids |
| topic | energy efficiency energy management system (EMS) linear programming smart residential scheme home energy management system (HEMS) building energy management system (BEMS) |
| url | https://www.mdpi.com/1996-1073/15/17/6266 |
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