Postdoc Haoran Zhao (RTDS)-Photo:Torben Nielsen

Wind power control and integration into large-scale power system

Wind power, as an alternative to fossil fuels, is plentiful, renewable, widely distributed and clean, and produces no Green House Gas (GHG) emissions during operation. Recently, it has achieved rapid development due to the fast increasing of energy demand and accelerating depletion of the word fossil fuels. 

Due to the inherent variability and uncertainty, wind power integration into the grid brings challenges for power systems, particularly when the wind power penetration level is high. The challenges exist in many aspects, such as reliability, power quality and stability.

The main objective of this study is to investigate the coordinated control of wind power and its integration into large-scale power system. Around the main objective, the relevant research fields including the wind turbine modeling and control, wind farm modeling and control, multi-terminal DC Grid for Wind Power Integration, and Hardware In the Loop (HIL) test in RTDS.

Completion date: October 2016.

Publikationer rss feed

2022
 

A dual-driven linear modeling approach for multiple energy flow calculation in electricity–heat system

Tian, Hang ; Zhao, Haoran ; Liu, Chunyang ; Chen, Jian ; Wu, Qiuwei ; Terzija, Vladimir
in: Applied Energy, vol: 314

Type: Journal article (Peer reviewed)

Status: Published     |    Year: 2022     |    DOI: https://doi.org/10.1016/j.apenergy.2022.118872

  PDF

Distributed Collaborative Optimization of a Multi-Region Integrated Energy System Based on Edge Computing Unit

Wang, Mengxue ; Zhao, Haoran ; Tian, Hang ; Wu, Qiuwei
in: Frontiers in Energy Research, vol: 10

Type: Journal article (Peer reviewed)

Status: Published     |    Year: 2022     |    DOI: https://doi.org/10.3389/fenrg.2022.846006

2018
 

Adaptive Control of Wind Turbines for Maximum Power Point Tracking

Zhao, Haoran ; Wu, Qiuwei
part of: Modeling and Modern Control of Wind Power, pages: 133-149, 2018

Type: Book chapter (Peer reviewed)

Status: Published     |    Year: 2018     |    DOI: https://doi.org/10.1002/9781119236382.ch7

 

Clustering‐based Wind Turbine Generator Model Linearization

Zhao, Haoran ; Wu, Qiuwei
part of: Modeling and Modern Control of Wind Power, pages: 117-132, 2018

Type: Book chapter (Peer reviewed)

Status: Published     |    Year: 2018     |    DOI: https://doi.org/10.1002/9781119236382.ch6

  PDF

Combined active and reactive power control in an operation of a wind farm

Zhao, Haoran ; Wu, Qiuwei ; Huang, Shaojun ; Liu, Zhaoxi
Patent no.: WO2018115431, Date: 2018-06-28

Type: Patent

Status: Published     |    Year: 2018

 

Distributed Model Predictive Active Power Control of Wind Farms

Zhao, Haoran ; Wu, Qiuwei
part of: Modeling and Modern Control of Wind Power, pages: 151-173, 2018

Type: Book chapter (Peer reviewed)

Status: Published     |    Year: 2018     |    DOI: https://doi.org/10.1002/9781119236382.ch8

  PDF

Distributed Optimization based Dynamic Tariff for Congestion Management in Distribution Networks

Huang, Shaojun ; Wu, Qiuwei ; Zhao, Haoran ; Li, Canbing
in: IEEE Transactions on Smart Grid, vol: 10, issue: 1, pages: 184-192

Type: Journal article (Peer reviewed)

Status: Published     |    Year: 2018     |    DOI: https://doi.org/10.1109/TSG.2017.2735998

  PDF

Enhanced Voltage Control of VSC-HVDC Connected Offshore Wind Farms Based on Model Predictive Control

Guo, Yifei ; Gao, Houlei ; Wu, Qiuwei ; Zhao, Haoran ; Østergaard, Jacob ; Shahidehpour, Mohammad
in: IEEE Transactions on Sustainable Energy, vol: 9, issue: 1

Type: Journal article (Peer reviewed)

Status: Published     |    Year: 2018     |    DOI: https://doi.org/10.1109/TSTE.2017.2743005

  PDF

Fatigue load minimization in an operation of a wind farm

Zhao, Haoran ; Wu, Qiuwei ; Huang, Shaojun ; Liu, Zhaoxi
Patent no.: WO2018115423, Date: 2018-06-28

Type: Patent

Status: Published     |    Year: 2018

  PDF

Hierarchical Control of Thermostatically Controller Loads for Primary Frequency Control

Zhao, Haoran ; Wu, Qiuwei ; Huang, Shaojun ; Zhang, Hengxu ; Xue, Yusheng
in: IEEE Transactions on Smart Grid, vol: 9, issue: 4, pages: 2986-2998

Type: Journal article (Peer reviewed)

Status: Published     |    Year: 2018     |    DOI: https://doi.org/10.1109/TSG.2016.2624509