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SCIG Based Wind Energy Integrated Multiterminal MMC-HVDC Transmission Network

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Modular multilevel converter (MMC) based HVDC system for renewable energy integration has attracted the researcher’s interest nowadays. This paper proposes a control strategy for MMC based multiterminal HVDC system for grid integration of squirrel cage induction generator (SCIG) based wind energy systems. Unlike the average model, this work models the MMC using the aggregate model and develops multiterminal HVDC transmission network in MATLAB/Simulink. It further develops the MMC multiterminal HVDC transmission network in real time digital simulator (RTDS). Instead of simplified current source, the proposed network considers the complete dynamics of SCIG based wind source from generation to integration. It employs field-oriented control for optimum wind energy tracking and forms isolated AC grids using feed forward controller. The proposed MMC controller performance has been tested under severe balanced and unbalanced disturbances. The results from aggregate model based MMC network in MATLAB/Simulink and those of the experimental MMC network in RTDS are in full agreement. The results confirm optimum wind energy tracking, fulfill grid code requirements, and improve low voltage ride through capability.
Title: SCIG Based Wind Energy Integrated Multiterminal MMC-HVDC Transmission Network
Description:
Modular multilevel converter (MMC) based HVDC system for renewable energy integration has attracted the researcher’s interest nowadays.
This paper proposes a control strategy for MMC based multiterminal HVDC system for grid integration of squirrel cage induction generator (SCIG) based wind energy systems.
Unlike the average model, this work models the MMC using the aggregate model and develops multiterminal HVDC transmission network in MATLAB/Simulink.
It further develops the MMC multiterminal HVDC transmission network in real time digital simulator (RTDS).
Instead of simplified current source, the proposed network considers the complete dynamics of SCIG based wind source from generation to integration.
It employs field-oriented control for optimum wind energy tracking and forms isolated AC grids using feed forward controller.
The proposed MMC controller performance has been tested under severe balanced and unbalanced disturbances.
The results from aggregate model based MMC network in MATLAB/Simulink and those of the experimental MMC network in RTDS are in full agreement.
The results confirm optimum wind energy tracking, fulfill grid code requirements, and improve low voltage ride through capability.

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