Monitoring Energy and Power Quality of the Loads in a Microgrid Laboratory Using Smart Meters
Microgrids are local energy production and distribution networks that can operate independently when disconnected from the main power grid thanks to the integration of power generation systems, energy storage units and intelligent control systems. However, despite their advantages, the optimal energ...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-03-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/17/5/1251 |
| _version_ | 1797264582301974528 |
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| author | Viktor Isanbaev Raúl Baños Fernando Martínez Alfredo Alcayde Consolación Gil |
| author_facet | Viktor Isanbaev Raúl Baños Fernando Martínez Alfredo Alcayde Consolación Gil |
| author_sort | Viktor Isanbaev |
| collection | DOAJ |
| description | Microgrids are local energy production and distribution networks that can operate independently when disconnected from the main power grid thanks to the integration of power generation systems, energy storage units and intelligent control systems. However, despite their advantages, the optimal energy management of real microgrids remains a subject that requires further investigation. Specifically, an effective management of microgrids requires managing a large number of electrical variables related to the power generated by the microgrid’s power supplies, the power consumed by the loads and the aspects of power quality. This study analyzes how we can monitor different variables, such as the active power, reactive power, power factor, total harmonic distortion and frequency in the loads of a microgrid, using high-precision power meters. Our empirical study, conducted using a functional microgrid comprising a hybrid wind–solar power system and several household appliances, demonstrates the feasibility of using low-cost and high-performance power meters with IoT functionality to collect valuable power quality and energy consumption data that can be used to control the microgrid operation. |
| first_indexed | 2024-04-25T00:31:11Z |
| format | Article |
| id | doaj.art-7178c6ad8c06410f859c0bcf4a1cec78 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-25T00:31:11Z |
| publishDate | 2024-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-7178c6ad8c06410f859c0bcf4a1cec782024-03-12T16:43:53ZengMDPI AGEnergies1996-10732024-03-01175125110.3390/en17051251Monitoring Energy and Power Quality of the Loads in a Microgrid Laboratory Using Smart MetersViktor Isanbaev0Raúl Baños1Fernando Martínez2Alfredo Alcayde3Consolación Gil4Department of Engineering, University of Almería, 04120 Almería, SpainDepartment of Engineering, University of Almería, 04120 Almería, SpainDepartment of Engineering, University of Almería, 04120 Almería, SpainDepartment of Engineering, University of Almería, 04120 Almería, SpainDepartment of Informatics, University of Almería, 04120 Almería, SpainMicrogrids are local energy production and distribution networks that can operate independently when disconnected from the main power grid thanks to the integration of power generation systems, energy storage units and intelligent control systems. However, despite their advantages, the optimal energy management of real microgrids remains a subject that requires further investigation. Specifically, an effective management of microgrids requires managing a large number of electrical variables related to the power generated by the microgrid’s power supplies, the power consumed by the loads and the aspects of power quality. This study analyzes how we can monitor different variables, such as the active power, reactive power, power factor, total harmonic distortion and frequency in the loads of a microgrid, using high-precision power meters. Our empirical study, conducted using a functional microgrid comprising a hybrid wind–solar power system and several household appliances, demonstrates the feasibility of using low-cost and high-performance power meters with IoT functionality to collect valuable power quality and energy consumption data that can be used to control the microgrid operation.https://www.mdpi.com/1996-1073/17/5/1251energy data analysisenergy managementmicrogridspower qualitysmart homessmart meters |
| spellingShingle | Viktor Isanbaev Raúl Baños Fernando Martínez Alfredo Alcayde Consolación Gil Monitoring Energy and Power Quality of the Loads in a Microgrid Laboratory Using Smart Meters Energies energy data analysis energy management microgrids power quality smart homes smart meters |
| title | Monitoring Energy and Power Quality of the Loads in a Microgrid Laboratory Using Smart Meters |
| title_full | Monitoring Energy and Power Quality of the Loads in a Microgrid Laboratory Using Smart Meters |
| title_fullStr | Monitoring Energy and Power Quality of the Loads in a Microgrid Laboratory Using Smart Meters |
| title_full_unstemmed | Monitoring Energy and Power Quality of the Loads in a Microgrid Laboratory Using Smart Meters |
| title_short | Monitoring Energy and Power Quality of the Loads in a Microgrid Laboratory Using Smart Meters |
| title_sort | monitoring energy and power quality of the loads in a microgrid laboratory using smart meters |
| topic | energy data analysis energy management microgrids power quality smart homes smart meters |
| url | https://www.mdpi.com/1996-1073/17/5/1251 |
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