Modified robust droop control based on control strategy of artificial neural systems for proportional load sharing between parallel operated inverters Online publication date: Fri, 04-Oct-2024
by Shraddha Gajbhiye
International Journal of Engineering Systems Modelling and Simulation (IJESMS), Vol. 15, No. 6, 2024
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.
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