Probabilistic power flow calculation method for subway traction load based on quasi-Monte Carlo and semi-invariant method

The randomness of the subway traction load has a serious impact on the power quality of the distribution network. In order to evaluate the impact of subway traction load access on the voltage quality of the power grid, this paper first proposes the use of collaborative particle swarm optimization to identify the parameters of the subway traction load probability model. Then, a method using quasi-Monte Carlo simulation combined with semi-invariant to calculate the AC and DC power flow is obtained, and then the probability distribution of the 110KV incoming line node voltage of the traction power supply system is obtained. This method provides a theoretical basis for studying the probability assessment of grid voltage quality after traction load is connected. Finally, the practical examples of the actual power supply system prove the usability of the method in this paper.