Probabilistic available transfer capability evaluation for power systems including high penetration of wind power

2014 ◽  
Author(s):  
Xin Fang ◽  
Fangxing Li ◽  
Ningchao Gao
Keyword(s):  
Power Systems ◽  
Wind Power ◽  
Available Transfer Capability ◽  
High Penetration ◽  
Transfer Capability ◽  
Capability Evaluation

scholarly journals Probabilistic available transfer capability assessment in power systems with wind power integration

2020 ◽  
Vol 14 (11) ◽  
pp. 1912-1920
Author(s):  
Xin Sun ◽  
Zhongbei Tian ◽  
Yufei Rao ◽  
Zhaohui Li ◽  
Pietro Tricoli
Keyword(s):  
Power Systems ◽  
Wind Power ◽  
Available Transfer Capability ◽  
Wind Power Integration ◽  
Transfer Capability

scholarly journals Quantification of operating reserves with high penetration of wind power considering extreme values

2020 ◽  
Vol 10 (2) ◽  
pp. 1693
Author(s):  
Johan S. Obando ◽  
Gabriel González ◽  
Ricardo Moreno
Keyword(s):  
Power Systems ◽  
Wind Power ◽  
Extreme Values ◽  
Extreme Value Distribution ◽  
Test System ◽  
Generalized Extreme Value Distribution ◽  
Mixed Integer ◽  
Linear Quadratic ◽  
High Penetration ◽  
Range Of Values

The high integration of wind energy in power systems requires operating reserves to ensure the reliability and security in the operation. The intermittency and volatility in wind power sets a challenge for day-ahead dispatching in order to schedule generation resources. Therefore, the quantification of operating reserves is addressed in this paper using extreme values through Monte-Carlo simulations. The uncertainty in wind power forecasting is captured by a generalized extreme value distribution to generate scenarios. The day-ahead dispatching model is formulated as a mixed-integer linear quadratic problem including ramping constraints. This approach is tested in the IEEE-118 bus test system including integration of wind power in the system. The results represent the range of values for operating reserves in day-ahead dispatching.

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