Home > Papers

 
 
Comparison Studies on Access Points of Wind Farms Based on N-k Cascading Risks
Liu Zhe #,Jia Hongjie *,Zeng Yuan,Xu Tao
Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072
*Correspondence author
#Submitted by
Subject:
Funding: Tianjin Municipal Science and Technology (No.No. 09JCZDJC25000), Special Fund of the National Basic Research Program of China (No.No. 2009CB219701, No. 2010CB234608), Specialized Research Fund for the Doctoral Program of Higher Education (No.No. 20090032110064)
Opened online:28 December 2012
Accepted by: none
Citation: Liu Zhe,Jia Hongjie,Zeng Yuan.Comparison Studies on Access Points of Wind Farms Based on N-k Cascading Risks[OL]. [28 December 2012] http://en.paper.edu.cn/en_releasepaper/content/4507970
 
 
With the accelerating expansion of wind power in China, a rational assessment method of wind farm access points plays an active role in guiding power system planning and operation. The traditional deterministic security analysis method is difficult to take the uncertainty of wind power into account, recently risk analysis method has aroused extensive concern of researchers. The alteration of power flow after outage is used to calculate the severity index of lines in contingency set, which is considered as the selection principle of cascading outage chain in this paper. And N-k cascading risk assessment method considering the uncertainty of wind speed is used to analysis the security of different planning schemes of wind farm access points. At the same time, the risks of energy storage devices integrated on the side of wind farm is also studied. With analyzing the risk level of power system, the methodology for determining reasonable and efficient energy storage configuration is also proposed. Finally, the correctness and effectiveness of the proposed method is validated by a modified IEEE-RTS system.
Keywords:Cascading outage; Risk assessment; Wind power; Energy storage
 
 
 

For this paper

  • PDF (0B)
  • ● Revision 0   
  • ● Print this paper
  • ● Recommend this paper to a friend
  • ● Add to my favorite list

    Saved Papers

    Please enter a name for this paper to be shown in your personalized Saved Papers list

Tags

Add yours

Related Papers

Statistics

PDF Downloaded 290
Bookmarked 0
Recommend 5
Comments Array
Submit your papers