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Mr. Saran Ganesh
Delft University of Technology, Netherlands

Basic Info

Basic Info is private.

Research Keywords & Expertise

0 Wind Turbine Control System
0 Power system analysis
0 Grid connected power generation
0 Control System Modelling
0 grid Connection And Control Of Distributed Energy

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Short Biography

Power system enthusiast with keen interest in network modelling and developing control systems for wind turbines.

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Journal article
Published: 01 February 2021 in Energies
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This paper proposes a Electro-Magnetic Transient (EMT) model of a 2 GW offshore network with the parallel operation of two Modular Multi-level Converter (MMC)—High Voltage Direct Current (HVDC) transmission links connecting four Offshore Wind Farms (OWFs) to two onshore systems, which represent a large scale power system. Additionally, to mitigate the challenges corresponding to voltage and frequency stability issues in large scale offshore networks, a Direct Voltage Control (DVC) strategy is implemented for the Type-4 Wind Generators (WGs), which represent the OWFs in this work. The electrical power system is developed in the power system simulation software RSCADTM, that is suitable for performing EMT based simulations. The EMT model of 2 GW offshore network with DVC in Type-4 WGs is successfully designed and it is well-coordinated between the control structures in MMCs and WGs.

ACS Style

Saran Ganesh; Arcadio Perilla; Jose Rueda Torres; Peter Palensky; Aleksandra Lekić; Mart Van Der Meijden. Generic EMT Model for Real-Time Simulation of Large Disturbances in 2 GW Offshore HVAC-HVDC Renewable Energy Hubs. Energies 2021, 14, 757 .

AMA Style

Saran Ganesh, Arcadio Perilla, Jose Rueda Torres, Peter Palensky, Aleksandra Lekić, Mart Van Der Meijden. Generic EMT Model for Real-Time Simulation of Large Disturbances in 2 GW Offshore HVAC-HVDC Renewable Energy Hubs. Energies. 2021; 14 (3):757.

Chicago/Turabian Style

Saran Ganesh; Arcadio Perilla; Jose Rueda Torres; Peter Palensky; Aleksandra Lekić; Mart Van Der Meijden. 2021. "Generic EMT Model for Real-Time Simulation of Large Disturbances in 2 GW Offshore HVAC-HVDC Renewable Energy Hubs." Energies 14, no. 3: 757.

Journal article
Published: 29 December 2020 in Applied Sciences
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The increase in Power Electronic (PE) converters due to the increase in offshore wind energy deployment have given rise to technical challenges (e.g., due to unprecedented fast dynamic phenomena) related to voltage and frequency stability in the power system. In the Offshore Wind Farms (OWFs), the currently available current injection-based voltage control for PE converters are not suitable for voltage control in PE dominated systems due to the absence of continuous voltage control and ineffectiveness during islanding. Moreover, in such power systems, the conventional controllers are not suitable for frequency control due to the absence of dynamic frequency control. The paper presents the Direct Voltage Control (DVC) strategy in a real-time environment to mitigate challenges related to voltage and frequency stability during islanding of OWFs. The control strategy is implemented in the average Electro-magnetic Transient (EMT) model of Type-4 Wind Generator (WG) in RSCAD® Version 5.011.1. It is compared with the benchmark model of the control strategy in DIgSILENT PowerFactoryTM 2019 SP2 (×64) in EMT platform. The comparison based on short-term voltage stability and reactive current injection reveals that both the models provide similar results, confirming the validation of the RSCAD model. Moreover, the detailed representation of the converters in the RSCAD model provides a better depiction of the real-world operation.

ACS Style

Saran Ganesh; Arcadio Perilla; Jose Rueda Torres; Peter Palensky; Mart Van Der Meijden. Validation of EMT Digital Twin Models for Dynamic Voltage Performance Assessment of 66 kV Offshore Transmission Network. Applied Sciences 2020, 11, 244 .

AMA Style

Saran Ganesh, Arcadio Perilla, Jose Rueda Torres, Peter Palensky, Mart Van Der Meijden. Validation of EMT Digital Twin Models for Dynamic Voltage Performance Assessment of 66 kV Offshore Transmission Network. Applied Sciences. 2020; 11 (1):244.

Chicago/Turabian Style

Saran Ganesh; Arcadio Perilla; Jose Rueda Torres; Peter Palensky; Mart Van Der Meijden. 2020. "Validation of EMT Digital Twin Models for Dynamic Voltage Performance Assessment of 66 kV Offshore Transmission Network." Applied Sciences 11, no. 1: 244.