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Stefan cel Mare
University of Suceava
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Print ISSN: 1582-7445
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WorldCat: 643243560
doi: 10.4316/AECE


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  3/2022 - 4

Different Concepts of Grid-Connected Microgrids with a PV System, Battery Energy Storage, Feed-in Tariff, and Load Management Using Fuzzy Logic

ZEC, L. See more information about ZEC, L. on SCOPUS See more information about ZEC, L. on IEEExplore See more information about ZEC, L. on Web of Science, MIKULOVIC, J. See more information about MIKULOVIC, J. on SCOPUS See more information about MIKULOVIC, J. on SCOPUS See more information about MIKULOVIC, J. on Web of Science
 
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Download PDF pdficon (1,657 KB) | Citation | Downloads: 291 | Views: 152

Author keywords
batteries, fuzzy logic, load management, microgrids, photovoltaic systems

References keywords
energy(32), management(18), power(12), fuzzy(12), system(10), microgrid(10), grid(10), systems(9), control(9), renewable(8)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2022-08-31
Volume 22, Issue 3, Year 2022, On page(s): 33 - 42
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2022.03004
Web of Science Accession Number: 000861021000004
SCOPUS ID: 85137727458

Abstract
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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.


References | Cited By  «-- Click to see who has cited this paper

[1] A. Hirsh, Y. Parag, J. Guerrero, "Microgrids: A review of technologies, key drivers, and outstanding issues," Renewable and Sustainable Energy Reviews, vol. 90, pp. 402-411, 2018.
[CrossRef] [Web of Science Times Cited 557] [SCOPUS Times Cited 709]


[2] Y. Zahraoui, I. Alhamrouni, S. Mekhilef, M. R. Basir Khan, M. Seyedmahmoudian, A. Stojcevski, B. Horan, "Energy management system in microgrids: A comprehensive review," Sustainability, vol. 13, no. 19, pp. 10492, 2021.
[CrossRef] [Web of Science Times Cited 14] [SCOPUS Times Cited 18]


[3] S. Jamal, N. M. L. Tan, J. Pasupuleti, "A review of energy management and power management systems for microgrid and nanogrid applications," Sustainability, vol. 13, no. 18, pp. 10331, 2021.
[CrossRef] [Web of Science Times Cited 5] [SCOPUS Times Cited 7]


[4] M. F. Zia, E. Elbouchikhib, M. Benbouzid, "Microgrids energy management systems: A critical review on methods, solutions, and prospects," Applied Energy, vol. 222, pp. 1033-1055, 2018.
[CrossRef] [Web of Science Times Cited 381] [SCOPUS Times Cited 485]


[5] B. Jyoti Saharia, H. Brahma, N. Sarmah, "A review of algorithms for control and optimization for energy management of hybrid renewable energy systems," Journal of Renewable and Sustainable Energy, vol. 10, no. 5, pp. 053502, 2018.
[CrossRef] [Web of Science Times Cited 29] [SCOPUS Times Cited 31]


[6] A. Borni, T. Abdelkrim, L. Zaghba, A. Bouchakour, A. Lakhdari, L. Zarour, "Fuzzy logic, PSO based fuzzy logic algorithm and current controls comparative for grid-connected hybrid system," AIP Conference Proceedings, vol. 1814, no. 1, pp. 020006, 2017.
[CrossRef] [Web of Science Times Cited 10] [SCOPUS Times Cited 12]


[7] K. S. Ei-Bidairi, H. D. Nguyen, S. D. G. Jayasinghe, T. S. Mahmoud, "Multiobjective intelligent energy management optimization for grid-connected microgrids," 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), IEEE, pp 1-6, 2018.
[CrossRef] [SCOPUS Times Cited 24]


[8] A. J. Aristizabal, D. H. Ospina, M. Castañeda, S. Zapata, E. Banguero, "Fuzzy logic energy management for a microgrid with storage battery," International Journal of Ambient Energy, vol. 41, no. 10, pp. 1183-1191, 2020.
[CrossRef] [Web of Science Times Cited 1] [SCOPUS Times Cited 2]


[9] S. Das, A. K. Akella, "Power flow control of PV-wind-battery hybrid renewable energy systems for stand-alone application," International Journal of Renewable Energy Research, vol. 8, no. 1, pp. 36-43, 2018.
[CrossRef]


[10] D. Arcos-Aviles, J. Pascual, L. Marroyo, P. Sanchis, F. Guinjoan, "Fuzzy logic-based energy management system design for residential grid-connected microgrids," IEEE Transactions on Smart Grid, vol. 9, no. 2, pp. 530-543, 2018.
[CrossRef] [Web of Science Times Cited 169] [SCOPUS Times Cited 195]


[11] U. Datta, J. Shi, A. Kalam, "Primary frequency control of a microgrid with integrated dynamic sectional droop and fuzzy based pitch angle control," International Journal of Electrical Power & Energy Systems, vol. 111, pp. 248-259, 2019.
[CrossRef] [Web of Science Times Cited 18] [SCOPUS Times Cited 21]


[12] G. Saveen, P. Prudhvi Raju, D. V. Manikanta, M. Satya Praveen, "Design and implementation of energy management system with fuzzy control for multiple microgrid," 2018 2nd International Conference on Inventive Systems and Control (ICISC), IEEE, pp. 1239-1244, 2018.
[CrossRef] [SCOPUS Times Cited 10]


[13] P. Tenti, H. K. Morales Paredes, P. Mattavelli, "Conservative power theory, a framework to approach control and accountability issues in smart microgrids," IEEE Transactions on Power Electronics, vol. 26, no. 3, pp. 664-673, 2011.
[CrossRef] [Web of Science Times Cited 168] [SCOPUS Times Cited 208]


[14] Y. Zhou, "The optimal home energy management strategy in smart grid," Journal of Renewable and Sustainable Energy, vol. 8, no. 4, pp. 045101, 2016.
[CrossRef] [Web of Science Times Cited 7] [SCOPUS Times Cited 11]


[15] E. D. Santis, A. Rizzi, A. Sadeghian, "Hierarchical genetic optimization of a fuzzy logic system for energy flows management in microgrids," Applied Soft Computing, vol. 60, pp. 135-149, 2017.
[CrossRef] [Web of Science Times Cited 47] [SCOPUS Times Cited 53]


[16] J. P. Fossati, A. Galarza, A. Martin-Villate, J. M. Echeverria, L. Fontan, "Optimal scheduling of a microgrid with a fuzzy logic controlled storage system," International Journal of Electrical Power & Energy Systems, vol.68, pp. 61-70, 2015.
[CrossRef] [Web of Science Times Cited 61] [SCOPUS Times Cited 67]


[17] A. Chaouachi, R. M. Kamel, R. Andoulsi, K. Nagasaka, "Multiobjective intelligent energy management for a microgrid," IEEE Transactions on Industrial Electronics, vol. 60, no. 4, pp. 1688-1699, 2013.
[CrossRef] [Web of Science Times Cited 422] [SCOPUS Times Cited 508]


[18] D. Arcos-Avilesa, J. Pascualb, F. Guinjoanc, L. Marroyob, P. Sanchisb, M. P. Mariettac, "Low complexity energy management strategy for grid profile smoothing of a residential grid-connected microgrid using generation and demand forecasting," Applied Energy, vol. 205, pp. 69-84, 2017.
[CrossRef] [Web of Science Times Cited 75] [SCOPUS Times Cited 83]


[19] T. T. Teo, T. Logenthiran, W. L. Woo, K. Abidi, T. John, N. S. Wade, D. M. Greenwood, C. Patsios, P. C. Taylor, "Optimization of fuzzy energy-management system for grid-connected microgrid using NSGA-II," IEEE Transactions on Cybernetics, vol. 51, no. 11, pp. 5375 -5386, 2021.
[CrossRef] [Web of Science Times Cited 23] [SCOPUS Times Cited 15]


[20] S. Leonori, E. De Santis, A. Rizzi, F. M. F. Mascioli, "Optimization of a microgrid energy management system based on a Fuzzy Logic Controller," IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, IEEE, pp 6615-6620, 2016.
[CrossRef] [SCOPUS Times Cited 28]


[21] S. Chakraborty, T. Ito, T. Senjyu, A. Yousuf Saber, "Intelligent economic operation of smart-grid facilitating fuzzy advanced quantum evolutionary method," IEEE Transactions on Sustainable Energy, vol. 4, no. 4, pp. 905-916, 2013.
[CrossRef] [Web of Science Times Cited 38] [SCOPUS Times Cited 43]


[22] M. Khalida, R. P. Aguilerab, A. V. Savkinc, V. G. Agelidisd, "On maximizing profit of wind-battery supported power station based on wind power and energy price forecasting," Applied Energy, vol. 211, pp. 764-773, 2018.
[CrossRef] [Web of Science Times Cited 53] [SCOPUS Times Cited 60]


[23] L. Zec, J. Mikulovic, "Load management in an off-grid hybrid PV-Wind-Battery system using the power flow control algorithm and fuzzy logic controller," Electrical Engineering, vol.104, no. 4, pp. 2185-2195, 2022.
[CrossRef] [Web of Science Times Cited 1] [SCOPUS Times Cited 1]


[24] W. Zhuo, "Microgrid energy management strategy with battery energy storage system and approximate dynamic programming," 2018 37th Chinese Control Conference (CCC), IEEE, pp.7581-7587, 2018.
[CrossRef] [SCOPUS Times Cited 10]


[25] L. Xiong, P. Li, Z. Wang, J. Wang, "Multi-agent based multi objective renewable energy management for diversified community power consumers," Applied Energy, vol. 259, pp. 114140, 2020.
[CrossRef] [Web of Science Times Cited 35] [SCOPUS Times Cited 40]


[26] G. M. Masters, "Renewable and efficient electric power systems," pp. 410-527, Stanford University, 2004

[27] Decree on incentive measures for subsidized electricity producers, Official Gazette of the Republic of Serbia, no. 8/2013, 25th January 2013



References Weight

Web of Science® Citations for all references: 2,114 TCR
SCOPUS® Citations for all references: 2,641 TCR

Web of Science® Average Citations per reference: 76 ACR
SCOPUS® Average Citations per reference: 94 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2022-11-24 07:57 in 168 seconds.




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