ORIGINAL ARTICLE Microgrid management using hybrid inverter fuzzy-based control Mustapha Habib 1 • Ahmed Amine Ladjici 1 • Abdelghani Harrag 2,3 Received: 22 June 2019 / Accepted: 7 August 2019 Ó Springer-Verlag London Ltd., part of Springer Nature 2019 Abstract 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 effi- ciently regarding the conventional frequency regulation, which is widely used in microgrid control. Keywords Diesel generator  DG  Photovoltaic  PV  Electrochemical battery  Power management  Mamdani fuzzy logic List of symbols I ph Photocurrent I Diode saturation current q Coulomb constant (1.602 9 10 -19 C) K Boltzmann’s constant (1.38 9 10 -23 J/K) T Cell temperature PN P–N junction ideality factor R s Intrinsic series resistance R sh Intrinsic parallel resistance S Real solar radiation S ref Solar radiation in standard test conditions (1000 w/ m 2 ) T ref Cell absolute temperature in standard test conditions I ph-ref Photocurrent in standard test conditions C T Temperature coefficient I s-ref Diode saturation current in standard test conditions E g Band-gap energy of the cell semiconductor E Battery no-load voltage E o Battery constant voltage k Polarization voltage Q Battery capacity A Exponential zone amplitude B Exponential zone time constant inverse E full Fully charged voltage E exp Voltage at the end of exponential zone Q exp Charge at the end of exponential zone E nom Voltage at the end of nominal zone Q nom Charge at the end of nominal zone F min Minimum allowed frequency value F r Regulation frequency value F max Maximum allowed frequency value T sm Governor time constant T d Engine time constant R Frequency drop V f Excitation voltage of the synchronous machine Abbreviations MPPT Maximum power point tracking P&O Perturb and observe & Abdelghani Harrag a.harrag@univ-setif.dz 1 Departement of Electrical Engineering, USTHB, Algiers, Algeria 2 Optics and Precision Mechanics Institute, Ferhat Abbas University, Cite Maabouda (ex. Travaux), 19000 Setif, Algeria 3 CCNS Laboratory, Electronics Department, Faculty of Technology, Ferhat Abbas University, Campus Maabouda, 19000 Setif, Algeria 123 Neural Computing and Applications https://doi.org/10.1007/s00521-019-04420-5