A Normalized Risk Analysis Method for Distribution Systems Based on Latin Hypercube Random Sampling

The extensive integration of distributed photovoltaic power sources has changed the power supply structure and operation mode of traditional distribution networks. Actively studying the factors affecting the operational risks of distribution networks containing distributed photovoltaic power sources can help improve the safety and reliability of distribution networks. In response to the risk impact of large-scale distributed photovoltaic power grid connection with randomness and volatility in output power on distribution network operation, a probabilistic power flow calculation method considering the power uncertainty of distributed photovoltaic power sources was carried out, and a random output model of distributed photovoltaic power sources was established. Taking the Donggang area power grid in Dandong City, Liaoning Province as an example, the Latin hypercube random sampling method was used to simulate the operation scenario, Obtain the probability of normalized risk in distribution networks for different scenarios, and then analyze the risk characteristics of distribution networks.