Novel Improved Adaptive Neuro-Fuzzy Control of Inverter and Supervisory Energy Management System of a Microgrid

Tariq Kamal, Murat Karabacak, Vedran S. Perić, Syed Zulqadar Hassan and Luis M. Fernández-Ramírez
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Tariq Kamal: Department of Electrical and Electronics Engineering, Sakarya University, Faculty of Engineering, 54050 Serdivan/Sakarya, Turkey
Murat Karabacak: Department of Electrical and Electronics Engineering, Sakarya University of Applied Sciences, 54050 Serdivan/Sakarya, Turkey
Vedran S. Perić: Munich School of Engineering, Technical University of Munich, 85748 Garching, Germany
Syed Zulqadar Hassan: Department of Electrical Engineering, Faculty of Engineering & Architecture, University of Sialkot, 51040 Sialkot, Pakistan
Luis M. Fernández-Ramírez: Research Group in Sustainable and Renewable Electrical Technologies (PAIDI-TEP-023), University of Cadiz, Higher Polytechnic School of Algeciras, 11202 Algeciras (Cadiz), Spain

Energies, 2020, vol. 13, issue 18, 1-22

Abstract: In this paper, energy management and control of a microgrid is developed through supervisor and adaptive neuro-fuzzy wavelet-based control controllers considering real weather patterns and load variations. The supervisory control is applied to the entire microgrid using lower–top level arrangements. The top-level generates the control signals considering the weather data patterns and load conditions, while the lower level controls the energy sources and power converters. The adaptive neuro-fuzzy wavelet-based controller is applied to the inverter. The new proposed wavelet-based controller improves the operation of the proposed microgrid as a result of the excellent localized characteristics of the wavelets. Simulations and comparison with other existing intelligent controllers, such as neuro-fuzzy controllers and fuzzy logic controllers, and classical PID controllers are used to present the improvements of the microgrid in terms of the power transfer, inverter output efficiency, load voltage frequency, and dynamic response.

Keywords: inverter; supervisory control; adaptive control; photovoltaic; ultra-capacitor; battery; wavelets; energy management (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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