Impact Analysis of High Proportion of PV Access on Distribution Network

The access of a high proportion of distributed photovoltaics (PV) increases the uncertainty factors of the distribution network. In this paper, the correlation between distributed PV power and load power is considered, and the method of combining genetic algorithm (GA) and Latin hypercubic sampling (LHS) is used to obtain distributed PV power and load power sampling data that are relatively similar to the rank correlation coefficient of historical data. Then, combined with the data obtained from sampling and the related distribution network topology and line parameters, Newton Raphson's method is used to calculate the power flow of the distribution network, and then the probability power flow calculation method is evaluated. On this basis, the changes of various electrical indicators such as power flow in the distribution network with the access of distributed photovoltaic units and the probability exceeding the specified range are further analyzed.