Fast security risk assessment of the power system with wind power penetration

2014 ◽  
Vol 6 (5) ◽  
pp. 053101 ◽  
Author(s):  
Yao Duan ◽  
Buhan Zhang ◽  
Yifang Liu
Keyword(s):  
Risk Assessment ◽  
Power System ◽  
Wind Power ◽  
Security Risk ◽  
Security Risk Assessment

scholarly journals An Integrated LHS–CD Approach for Power System Security Risk Assessment with Consideration of Source–Network and Load Uncertainties

Processes ◽  
2019 ◽  
Vol 7 (12) ◽  
pp. 900
Author(s):  
Shiwei Xia ◽  
Liangyun Song ◽  
Yi Wu ◽  
Zhoujun Ma ◽  
Jiangping Jing ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Power System ◽  
Transmission Line ◽  
Wind Power ◽  
Thermal Power ◽  
System Security ◽  
Security Risk ◽  
Power System Security ◽  
Network Load ◽  
Security Risk Assessment

Large-scale wind power integrated into power grids brings serious uncertainties and risks for power system safe operation, and it is imperative to evaluate power system security risk pertinent to high-level of uncertainties. In this paper, a comprehensive source–network–load probabilistic model, representing the typical uncertainties penetrated in power generation transmission consumption portion, is firstly set for power system operation. Afterwards an integrated LHS–CD approach based on the Latin hypercube sampling (LHS) and Cholesky decomposition (CD) is tailored to effectively conduct the security risk assessment, in which the LHS is utilized to stratified sample the uncertainties of wind power and thermal power, transmission line outage, and load demands, while the CD part is adopted to address the correlations of uncertainties by rearranging the sampled matrix generated by LHS. Moreover, static voltage risk and transmission line overloaded risk index are properly defined for quantitatively evaluating power system operational security risk. Simulation results of a modified New England 39-bus system confirm that the proposed integrated LHS–CD approach is effective and efficient for power system security risk assessment with consideration of source–network–load demand uncertainties.

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