Sustainable energy assessment of multi-type energy storage system in direct-current-microgrids adopting Mamdani with Sugeno fuzzy logic-based energy management strategy
The impact of combining diverse battery technologies exposed to PV uncertainty and pulsed loads is a major research gap. This paper designs a rule-based Fuzzy Logic based-Energy Management System (FL-EMS) for standalone PV systems with hybridized energy storage systems (HESS) based on mature Lead-Ac...
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Published in | Journal of energy storage Vol. 56; p. 106037 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
10.12.2022
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Subjects | |
Online Access | Get full text |
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Summary: | The impact of combining diverse battery technologies exposed to PV uncertainty and pulsed loads is a major research gap. This paper designs a rule-based Fuzzy Logic based-Energy Management System (FL-EMS) for standalone PV systems with hybridized energy storage systems (HESS) based on mature Lead-Acid (LA), high-energy-density Lithium-ion (Li-ion), and high-power-density Supercapacitors (SCs) to optimize system energy usage at diverse dynamics and constraints. The control proposal integrates the FL-EMS between the external Bus voltage loop and inner current loops to split load frequency components between batteries. (i) Sugeno-based FLC-I splits low-frequency powers between LA and Li-ion during regular SC operation, while advanced Low-pass-filtering-control allocates SC with High-frequency powers and uncompensated batteries powers to increase system performance and reliability. (ii) Mamdani-based FLC-II restores SC state of charge (SoC) within pre-set thresholds through charging/discharging with LA and Li-ion. The filtering control is deactivated at SoCs<10 %, reducing control performance and system stability. The FL-EMS feasibility assessment revealed errors in Bus voltage control at 3.2 % within a settling time of 0.8(sec), besides 3–3.5 % for LA and Li-ion current tracking, where the battery used to restore SC SoC showed accurate control and reduced losses. The significant SC effect on system stability was emphasized during regular and transient situations with a current control error of 3 % (SoC > 90 %) and 14 % (SoC < 10 %). Thus, the greater the duty cycle, the more control energy is needed to follow setpoints and stabilize the system, and vice versa. The loading mismatch of 0.05 W and power loss of 0.02 % demonstrated excellent system supply efficiency.
•Battery combinations destabilize DC-Microgrids under PV uncertainty and pulsed loads.•Rule-based FL-EMS optimizes system energy usage at different dynamics and constraints.•Separate load frequency components combining FL-EMS with the HESS control structure•Evaluate SC's impact on HESS performance under regular and disturbing operation modes•Variables' KPIs evaluate system performance and reliability |
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ISSN: | 2352-152X 2352-1538 |
DOI: | 10.1016/j.est.2022.106037 |