Comprehensive Analysis of PV and Wind Energy Integration into MMC-HVDC Transmission Network

Md Ismail Hossain; Md Shafiullah; Fahad A. Al-Sulaiman; Mohammad A. Abido

doi:10.3390/su15010253

Comprehensive Analysis of PV and Wind Energy Integration into MMC-HVDC Transmission Network

Md Ismail Hossain, Md Shafiullah, Fahad A. Al-Sulaiman, Mohammad A. Abido^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

Renewable energy will play a vital role in greenhouse gas emissions reduction. However, renewable energy is located far away from the load center. Modular multilevel converter-(MMC) based VSC-HVDC systems became competitive for remotely located renewable energy grid integration. Unlike the average model for MMC and renewable energy side converter, this paper presents a detailed model-based control and analysis of the MMC-HVDC system for solar and wind energy integration. Furthermore, it optimally tracks PV energy employing the modified incremental conductance method and wind energy using field-oriented control. Instead of decoupled control, a feedforward controller is utilized to establish a standalone AC voltage for renewable energy grid integration. This work considers a doubly fed induction generator (DFIG), permanent magnet synchronous generator (PMSG), and squirrel cage induction generator (SCIG) for wind energy integration. The results from MATLAB/SIMULINK platform agree with the controller hardware in the loop results from RTDS-dSPACE platform. The results confirmed the optimum solar and wind energy tracking during wind speed, irradiance, and temperature variations. However, it improved the fault ride-through capability during balanced and unbalanced low voltage disturbances at the point of common coupling (PCC) of AC grid.

Original language	English
Article number	253
Journal	Sustainability
Volume	15
Issue number	1
DOIs	https://doi.org/10.3390/su15010253
State	Published - Jan 2023

Bibliographical note

Funding Information:
The authors acknowledge the support provided by Interdisciplinary Research Center in Renewable Energy and Power Systems (IRC-REPS), King Fahd University of Petroleum and Minerals, through the funded research project #INRE 2102. The authors also acknowledge the support of KACARE Energy Research and Innovation Center (ERIC), KFUPM, Saudi Arabia.

Publisher Copyright:
© 2022 by the authors.

Keywords

DFIG
HVDC
MMC
PMSG
PV
SCIG
field-oriented control

ASJC Scopus subject areas

Computer Science (miscellaneous)
Geography, Planning and Development
Renewable Energy, Sustainability and the Environment
Building and Construction
Environmental Science (miscellaneous)
Energy Engineering and Power Technology
Hardware and Architecture
Computer Networks and Communications
Management, Monitoring, Policy and Law

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.3390/su15010253

Cite this

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abstract = "Renewable energy will play a vital role in greenhouse gas emissions reduction. However, renewable energy is located far away from the load center. Modular multilevel converter-(MMC) based VSC-HVDC systems became competitive for remotely located renewable energy grid integration. Unlike the average model for MMC and renewable energy side converter, this paper presents a detailed model-based control and analysis of the MMC-HVDC system for solar and wind energy integration. Furthermore, it optimally tracks PV energy employing the modified incremental conductance method and wind energy using field-oriented control. Instead of decoupled control, a feedforward controller is utilized to establish a standalone AC voltage for renewable energy grid integration. This work considers a doubly fed induction generator (DFIG), permanent magnet synchronous generator (PMSG), and squirrel cage induction generator (SCIG) for wind energy integration. The results from MATLAB/SIMULINK platform agree with the controller hardware in the loop results from RTDS-dSPACE platform. The results confirmed the optimum solar and wind energy tracking during wind speed, irradiance, and temperature variations. However, it improved the fault ride-through capability during balanced and unbalanced low voltage disturbances at the point of common coupling (PCC) of AC grid.",

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N1 - Funding Information: The authors acknowledge the support provided by Interdisciplinary Research Center in Renewable Energy and Power Systems (IRC-REPS), King Fahd University of Petroleum and Minerals, through the funded research project #INRE 2102. The authors also acknowledge the support of KACARE Energy Research and Innovation Center (ERIC), KFUPM, Saudi Arabia. Publisher Copyright: © 2022 by the authors.

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Comprehensive Analysis of PV and Wind Energy Integration into MMC-HVDC Transmission Network

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

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