Microgrid management using hybrid inverter fuzzy-based control

  • Mustapha Habib
  • Ahmed Amine Ladjici
  • Abdelghani HarragEmail author
Original Article


Microgrid systems are becoming a very promising solution to meet the power demand growth especially in remote areas where diesel generators (DG) are commonly used as a main energy source. Photovoltaic (PV) systems are commonly used as a sustainable energy source to economize DG fuel. Due to the intermittent and fluctuating behavior of PV generators, energy storage systems (ESS) such as electrochemical battery are suggested. PV and ESS are usually connected using one inverter/charger called hybrid inverter. The power management is crucial to optimize the fuel consumption and operate efficiently ESS. Additionally, in an off-grid operation, the microgrid frequency becomes sensible due to the slow dynamic of DG which requires an additional control tool to improve the frequency regulation. This paper proposes a new power management based on Mamdani fuzzy logic. The proposed controller considers the targets mentioned above by only controlling the hybrid inverter. Simulation results prove that fuzzy-based controller reduces the DG fuel consumption by more than 12% compared to classical hysteresis management control. Moreover, the proposed controller performs efficiently regarding the conventional frequency regulation, which is widely used in microgrid control.


Diesel generator DG Photovoltaic PV Electrochemical battery Power management Mamdani fuzzy logic 

List of symbols




Diode saturation current


Coulomb constant (1.602 × 10−19 C)


Boltzmann’s constant (1.38 × 10−23 J/K)


Cell temperature


P–N junction ideality factor


Intrinsic series resistance


Intrinsic parallel resistance


Real solar radiation


Solar radiation in standard test conditions (1000 w/m2)


Cell absolute temperature in standard test conditions


Photocurrent in standard test conditions


Temperature coefficient


Diode saturation current in standard test conditions


Band-gap energy of the cell semiconductor


Battery no-load voltage


Battery constant voltage


Polarization voltage


Battery capacity


Exponential zone amplitude


Exponential zone time constant inverse


Fully charged voltage


Voltage at the end of exponential zone


Charge at the end of exponential zone


Voltage at the end of nominal zone


Charge at the end of nominal zone


Minimum allowed frequency value


Regulation frequency value


Maximum allowed frequency value


Governor time constant


Engine time constant


Frequency drop


Excitation voltage of the synchronous machine



Maximum power point tracking


Perturb and observe




State of charge


Energy storage system


Power management




Fuzzy logic


Direct current


Alternative current


Diesel generator


Compliance with ethical standards

Conflict of interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.


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Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2019

Authors and Affiliations

  • Mustapha Habib
    • 1
  • Ahmed Amine Ladjici
    • 1
  • Abdelghani Harrag
    • 2
    • 3
    Email author
  1. 1.Departement of Electrical EngineeringUSTHBAlgiersAlgeria
  2. 2.Optics and Precision Mechanics InstituteFerhat Abbas UniversitySetifAlgeria
  3. 3.CCNS Laboratory, Electronics Department, Faculty of TechnologyFerhat Abbas UniversitySetifAlgeria

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