Frequency Control in Multi-Carrier Microgrids with the Presence of Electric Vehicles Based on Adaptive Neuro Fuzzy Inference System Controller

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Seyed Beheshti Fini Seyed Ali; Shariatmadar Seyed Mohammad; AMIR VAHID

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Journal Paper

Paper Information

Journal: Journal of Intelligent Procedures in Electrical Technology Year:2023 | Volume:14 | Issue:55 Page(s): 27-42

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Title

Frequency Control in Multi-Carrier Microgrids with the Presence of Electric Vehicles Based on Adaptive Neuro Fuzzy Inference System Controller

Author(s)

Seyed Beheshti Fini Seyed Ali | Shariatmadar Seyed Mohammad | AMIR VAHID | Issue Writer Certificate

Keywords

adaptive neuro fuzzy inference system

electric vehicle

frequency control

fuzzy control

microgrid

secondary frequency

Abstract

Nowadays, the use of renewable resources has increased because of fossil fuel price growth, resource shortage, and environmental pollution. This study investigates a microgrid composed of wind and solar systems with battery storage sources and flywheel, diesel generator, and multi-carrier energy systems (MCH) as combined electricity and heat (CHP). The microgrid frequency is controlled based on the gas network and its consumption peak. In a multi-carrier network, the load distribution in the gas network is simultaneously considered with the electric charge distribution. Besides, the frequency is controlled nonlinearly. On the other hand, the growing trend of producing and using electric vehicles has generated new loads on the electricity network. In this regard, if these loads are not properly managed to charge them, the network’, s frequency deviations will increase and cause the collapse of the electricity network. Therefore, electric vehicles (V2G) are considered in microgrid frequency tuning operations through ANFIS adaptive fuzzy control method. In order to compare the proposed method in the simulations, a fuzzy controller is used. The results of the simulations are examined in five studies that express the optimal performance of the proposed method in reducing frequency deviations, strength against disturbances and resistance Uncertainties in the system. The proposed method also has a more stable output power in microgrid production resources.

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APA: Copy

Seyed Beheshti Fini, Seyed Ali, Shariatmadar, Seyed Mohammad, & AMIR, VAHID. (2023). Frequency Control in Multi-Carrier Microgrids with the Presence of Electric Vehicles Based on Adaptive Neuro Fuzzy Inference System Controller. JOURNAL OF INTELLIGENT PROCEDURES IN ELECTRICAL TECHNOLOGY, 14(55 ), 27-42. SID. https://sid.ir/paper/1034859/en

Vancouver: Copy

Seyed Beheshti Fini Seyed Ali, Shariatmadar Seyed Mohammad, AMIR VAHID. Frequency Control in Multi-Carrier Microgrids with the Presence of Electric Vehicles Based on Adaptive Neuro Fuzzy Inference System Controller. JOURNAL OF INTELLIGENT PROCEDURES IN ELECTRICAL TECHNOLOGY[Internet]. 2023;14(55 ):27-42. Available from: https://sid.ir/paper/1034859/en

IEEE: Copy

Seyed Ali Seyed Beheshti Fini, Seyed Mohammad Shariatmadar, and VAHID AMIR, “Frequency Control in Multi-Carrier Microgrids with the Presence of Electric Vehicles Based on Adaptive Neuro Fuzzy Inference System Controller,” JOURNAL OF INTELLIGENT PROCEDURES IN ELECTRICAL TECHNOLOGY, vol. 14, no. 55 , pp. 27–42, 2023, [Online]. Available: https://sid.ir/paper/1034859/en

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