A Probabilistic Load Flow Considering Transmission Network Contingency

Power system security analysis is an important part of power system operation and control. For a long time power system stability analysis has been based on the uncertainty of the trend calculated. However, the system load changes, equipment investment of time, Network topology uncertain factors such as the increasingly prominent, In this context, the power system stability analysis if the uncertainty flow calculation method, on the request of a large number of possible scenarios for a large number of programs to calculate the time, it is hard to bear and the overall system is very difficult to reflect the situation.A new method for probabilistic power flow considering transmission network contingency is proposed for the purpose of removing the unrealistic assumptions of conventional analytical PLF techniques. Normalized Coefficient of Probability has been taken to avoid the small number probability. The proposed method is based on the Cumulant and Gram-Charlier series method for probabilistic load flow to obtain accurate probability. Line faults are simulated by suitable power injections at corresponding nodes, so avoiding to compute admittance matrix again. It proved the effectiveness by Typical of 14 node system simulation.