Title :
Probabilistic evaluation of static voltage stability taking account of the variation of load and stochastic distributed generations
Author :
Ke-yan Liu ; Lijuan Hu ; Wanxing Sheng
Author_Institution :
China Electr. Power Res. Inst., Beijing, China
Abstract :
The impact of renewable distributed generation on power system is an hot topic in smart grid. Accounting for the uncertainties of wind power and load, a probabilistic evaluation method was proposed for static voltage stability based on two-point estimate method (2PEM) and continuous power flow. By 2PEM, the probabilistic problems could be handled as those corresponding to deterministic problems. The continuous power flow method was to get the load margin and PV curves with iterations for static voltage stability. The numerical results of IEEE 33-bus test system show that the proposed method maintains a high accuracy and reduces the computation burden.
Keywords :
distributed power generation; iterative methods; load flow; photovoltaic power systems; power system stability; probability; smart power grids; wind power plants; 2PEM; IEEE 33-bus test system; PV curves; continuous power flow method; iterations; load margin; load variation; power system; probabilistic evaluation method; renewable distributed generation; smart grid; static voltage stability; stochastic distributed generations; two-point estimate method; wind power uncertainties; Random variables;
Conference_Titel :
Electrical Machines and Systems (ICEMS), 2013 International Conference on
Conference_Location :
Busan
Print_ISBN :
978-1-4799-1446-3
DOI :
10.1109/ICEMS.2013.6754444