Different Concepts of Grid-Connected Microgrids with a PV System, Battery Energy Storage, Feed-in Tariff, and Load Management Using Fuzzy Logic
This paper presents different variants of smart grid-connected microgrids consisting of a photovoltaic (PV) system and batteries. Based on ten-minute data on the consumption of the distribution system, the estimation of the consumption diagram of one household was performed, as well as the determi...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Stefan cel Mare University of Suceava
2022-08-01
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| Series: | Advances in Electrical and Computer Engineering |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.4316/AECE.2022.03004 |
| _version_ | 1817999038019010560 |
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| author | ZEC, L. MIKULOVIC, J. |
| author_facet | ZEC, L. MIKULOVIC, J. |
| author_sort | ZEC, L. |
| collection | DOAJ |
| description | This paper presents different variants of smart grid-connected microgrids consisting of a photovoltaic
(PV) system and batteries. Based on ten-minute data on the consumption of the distribution system, the
estimation of the consumption diagram of one household was performed, as well as the determination of
its unmanageable and manageable part. The fuzzy logic controller and algorithm for energy flow management
were applied to manage the consumption of one household. The proposed load management provides a continuous
power supply to a consumer from his PV system, batteries, and distribution grid, enabling the energy exchange
with the grid and achieving financial gain. The input data for the fuzzy logic controller are the difference
between the PV system power production and the household power consumption, the variation of the price of
electricity on the market to its average value, and the state of charge of the battery. The output data from
the fuzzy logic controller are the probabilities of engaging home appliances. The presented analysis was
done for a period of one year for the city of Belgrade. |
| first_indexed | 2024-04-14T03:02:34Z |
| format | Article |
| id | doaj.art-5577540184b54affb542f9f06b9bb8d2 |
| institution | Directory Open Access Journal |
| issn | 1582-7445 1844-7600 |
| language | English |
| last_indexed | 2024-04-14T03:02:34Z |
| publishDate | 2022-08-01 |
| publisher | Stefan cel Mare University of Suceava |
| record_format | Article |
| series | Advances in Electrical and Computer Engineering |
| spelling | doaj.art-5577540184b54affb542f9f06b9bb8d22022-12-22T02:15:52ZengStefan cel Mare University of SuceavaAdvances in Electrical and Computer Engineering1582-74451844-76002022-08-01223334210.4316/AECE.2022.03004Different Concepts of Grid-Connected Microgrids with a PV System, Battery Energy Storage, Feed-in Tariff, and Load Management Using Fuzzy LogicZEC, L.MIKULOVIC, J.This paper presents different variants of smart grid-connected microgrids consisting of a photovoltaic (PV) system and batteries. Based on ten-minute data on the consumption of the distribution system, the estimation of the consumption diagram of one household was performed, as well as the determination of its unmanageable and manageable part. The fuzzy logic controller and algorithm for energy flow management were applied to manage the consumption of one household. The proposed load management provides a continuous power supply to a consumer from his PV system, batteries, and distribution grid, enabling the energy exchange with the grid and achieving financial gain. The input data for the fuzzy logic controller are the difference between the PV system power production and the household power consumption, the variation of the price of electricity on the market to its average value, and the state of charge of the battery. The output data from the fuzzy logic controller are the probabilities of engaging home appliances. The presented analysis was done for a period of one year for the city of Belgrade.http://dx.doi.org/10.4316/AECE.2022.03004batteriesfuzzy logicload managementmicrogridsphotovoltaic systems |
| spellingShingle | ZEC, L. MIKULOVIC, J. Different Concepts of Grid-Connected Microgrids with a PV System, Battery Energy Storage, Feed-in Tariff, and Load Management Using Fuzzy Logic Advances in Electrical and Computer Engineering batteries fuzzy logic load management microgrids photovoltaic systems |
| title | Different Concepts of Grid-Connected Microgrids with a PV System, Battery Energy Storage, Feed-in Tariff, and Load Management Using Fuzzy Logic |
| title_full | Different Concepts of Grid-Connected Microgrids with a PV System, Battery Energy Storage, Feed-in Tariff, and Load Management Using Fuzzy Logic |
| title_fullStr | Different Concepts of Grid-Connected Microgrids with a PV System, Battery Energy Storage, Feed-in Tariff, and Load Management Using Fuzzy Logic |
| title_full_unstemmed | Different Concepts of Grid-Connected Microgrids with a PV System, Battery Energy Storage, Feed-in Tariff, and Load Management Using Fuzzy Logic |
| title_short | Different Concepts of Grid-Connected Microgrids with a PV System, Battery Energy Storage, Feed-in Tariff, and Load Management Using Fuzzy Logic |
| title_sort | different concepts of grid connected microgrids with a pv system battery energy storage feed in tariff and load management using fuzzy logic |
| topic | batteries fuzzy logic load management microgrids photovoltaic systems |
| url | http://dx.doi.org/10.4316/AECE.2022.03004 |
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