Parallel computing based distribution network reliability evaluation technology research

With the development of social economy and the expansion of distribution network scale, the demand of power supply reliability is gradually improving. However, the traditional reliability analysis of distribution network power supply is more suitable for the simplified small-scale system, which is difficult to meet the reliability calculation task of large-scale distribution network in the data age. In this paper, an analysis method based on Spark parallel computing platform is proposed, and the system reliability analysis is relied on Map-Reduce. Firstly, hash mapping the network topology data to determine every element's connection. Then the minimum cut-sets is determined by depth first search of each load point by Map-Reduce, and the reliability index is calculated according to the series parallel relationship of the components. On this basis, correcting the reliability index of the system by considering the influence of standby power supply and distribution automation equipment in network. Finally, the reliability of 10kV distribution network in a certain area is realized on the Spark platform, and the calculation speed and accuracy of the algorithm are verified.