DC microgrid power coordination based on fuzzy logic control

AL BADWAWI, Rashid, ISSA, Walid, MALLICK, Tapas and ABUSARA, Mohammad (2016). DC microgrid power coordination based on fuzzy logic control. In: 2016 18th European Conference on Power Electronics and Applications (EPE'16 ECCE Europe). IEEE, 1-10.

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Official URL: http://ieeexplore.ieee.org/document/7695530/
Link to published version:: https://doi.org/10.1109/EPE.2016.7695530


The power coordination in DC microgrids has a vital role in enhancing the performance and management of multi generation units. Renewable Energy Sources (RES) are limited to their available power with intermittent nature. Battery-based energy storage sources have limitations in the charging and discharging capabilities to avoid depleting the battery and preserve the State of Charge (SOC) within its satisfactory limits. The battery balances the power difference between RES and loads. However, in severe cases where the SOC is very low, load shedding is crucial. In this paper, a Fuzzy Logic Controller (FLC) has been proposed to coordinate the power flow of PV unit and battery to satisfy the load by full use of the available PV power. It controls the PV’s output power and keeps the SOC and charging / discharging power of the battery within their required margins regardless of the variations in load. Furthermore, load shedding of low priority load has been implemented when the battery couldn’t balance the microgrid power flow. Simplicity in managing multi input-multi output system by FLC is the main merit. Matlab/Simulink results are presented to validate the performance of the proposed controller.

Item Type: Book Section
Additional Information: INSPEC Accession Number: 16412852 Paper presented at 2016 18th European Conference on Power Electronics and Applications (EPE'16 ECCE Europe), 5-9 Sept. 2016, Karlsruhe, Germany
Uncontrolled Keywords: Microgrid, Power management, Fuzzy control, Energy storage, Renewable energy systems
Departments - Does NOT include content added after October 2018: Faculty of Science, Technology and Arts > Department of Engineering and Mathematics
Identification Number: https://doi.org/10.1109/EPE.2016.7695530
Page Range: 1-10
Depositing User: Walid Issa
Date Deposited: 27 Jul 2017 10:16
Last Modified: 18 Mar 2021 15:34
URI: https://shura.shu.ac.uk/id/eprint/16288

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