Title: Modified robust droop control based on control strategy of artificial neural systems for proportional load sharing between parallel operated inverters

Authors: Shraddha Gajbhiye

Addresses: SVITS, SVVV, Indore, Madhya Pradesh, India

Abstract: In distributed generation (DG) unit operation, the inverter plays a vital role in combine energy sources. Effective combine energy can successfully be accomplished by operating inverters with effective control techniques. Most researchers have worked for the control of inverters in a microgrid. This research discusses the methods for inverter control for proper control of frequency, power sharing and voltage used in an isolated microgrid. This research introduces a control strategy made of the virtual impedance robust droop control with artificial neural system (ANS) as a primary controller, and the current controller is used as a secondary controller in single-phase microgrid. The work is implemented for linear and nonlinear load, connected with two parallelly connected voltage source inverters (VSIs) which are sharing power in 1:2 ratio. Comprehensive simulations have been performed to approve the proposed control strategy's capability in terms of balance of frequency, voltage, and power proportionately among the micro sources in the isolated microgrid.

Keywords: microgrid; robust droop control; current controller; inverter; artificial neural system; ANS.

DOI: 10.1504/IJESMS.2024.141969

International Journal of Engineering Systems Modelling and Simulation, 2024 Vol.15 No.6, pp.291 - 299

Received: 11 Dec 2021
Accepted: 17 Mar 2022
Published online: 04 Oct 2024 *

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