Abstract:It is necessary to analyze the safety bearing capacity of power outages before arranging dispatch plans to prevent dispatch plans from overload, balance the heavy work of power outages with security margin of power grid operation, and ensure the execution of dispatch plans. The development of big data theories and technologies provide theoretical basis and technical conditions for safety bearing capacity analysis of power outages. Firstly, this paper introduced the big data sources for safety bearing capacity analysis of power outages, and analyzed the major factors which impacted the safety bearing capacity of power outages by studying historical big data. Secondly, this paper presented the model and method to analyze the safety bearing capacity of power outages based on neural network, in which the number of dispatch plans was directly evaluated through green safety region, yellow early-warning region and red dangerous region. Finally, an application case in Shandong power grid was given. The case shows that the method presented by this paper could guide dispatch plans arrangement effectively, improve work efficiency significantly, alleviate the dependence on personal experience, and have great significance for strict execution of dispatch plans and risk control of power grid outages.