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Supervisory Controller for Power Management of Microgrid Using Hybrid Technique

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Abstract

Power management in Microgrid (MG) is a major issue while utilizing generation elements like photovoltaic, wind turbine, distributed generator, and battery bank with loads and non-linear loads. In this paper, power management is achieved through the deployment of the supervisory controller with hybrid power management algorithm named Artificial Neuro-Fuzzy Interference System (ANFIS) with Elephant Herd Optimization (EHO) algorithm. The objective of the new control technique is to keep a stable power flow among all renewable energy sources and the load, thereby ensuring that the battery power does not exceed the design limits. For an optimal control mapping of the nonlinear relation, ANFIS considers two input error values such as voltage and current value to obtain a minimized error value. The EHO is used to attain the learning function of the ANFIS. Here, the generated power, load demand power and State of Charge are taken as an objective function in EHO to compensate the load with the battery service during unavailability of generated power for meeting the load demand. The supervisory control structure achieves better power management in the MG with the help of the ANFIS–EHO. The proposed method is implemented in Simulink/MATLAB platform. The simulation and the experimental results are investigated with four test cases with some existing methods to analyze the efficiency of the proposed method.

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Abbreviations

ANFIS:

Artificial Neuro-Fuzzy Interference System

EHO:

Elephant Herd Optimization

MG:

Microgrid

WT:

Wind turbine

PV:

Photovoltaic

RES:

Renewable energy sources

SOC:

State of Charge

DER:

Distributed Energy Resources

ESS:

Energy storage system

DG:

Distributed generation

PEMFC:

Proton exchange membrane fuel cell

AWPI:

Anti-windup PI

APC:

Active power control

MPC:

Model predictive control

MPP:

Minimum power point

MPPT:

Maximum power point tracker

PMSG:

Permanent magnet synchronous generator

TSR:

Tip speed ratio

MF:

Membership function

FE:

Female elephant

ME:

Male elephant

ANN:

Artificial neural network

FLC:

Fuzzy logic controller

DTC:

Direct torque controller

THD:

Total harmonic distortion

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Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, Dayananda Sagar Institutions (DSI)-2nd Campus (DSATM), Bangalore, India

    Rupam Bhaduri

  2. Department of Electrical and Electronics Engineering, VelTech University, Chennai, India

    G. Rahul Saravana & C. Vaskar

Authors
  1. Rupam Bhaduri
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  2. G. Rahul Saravana
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  3. C. Vaskar
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Correspondence to Rupam Bhaduri.

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Bhaduri, R., Rahul Saravana, G. & Vaskar, C. Supervisory Controller for Power Management of Microgrid Using Hybrid Technique. Trans. Electr. Electron. Mater. 21, 30–47 (2020). https://doi.org/10.1007/s42341-019-00152-4

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