In recent years, with the large-scale grid connection of wind power, wind power as an important factor to load forecasting should not be overlooked; A least squares-support vector machine (LSSVM) has been improved for the region including wind power, based on the influence from the load caused by the changes of wind and the characteristics between load and wind power. The method uses the models of least squares-support vector machine to classify and build different models , and gets the integration of each model for equivalent load forecasting, which provides the reference for the region including wind power.
The accurate evaluation of distribution system reliability plays an important role in distribution system planning. The existing method doesn’t consider the influence of different inclement weather. This paper proposed a new method for evaluation of distribution system anti-disaster ability in inclement weather. Firstly, the influence of the system components in inclement weather was analyzed according to the physical situation; then the relationship between the breakdown probability of the components and the meteorological parameters was studied on the basis of the components quality. Secondly, considering the characteristics of distribution system, the probability of continuous failure was discussed by the minimal path method. Finally the evaluation indices were introduced to represent the distribution system anti-disaster ability. The simulation results show the laws between the distribution system’s anti-disaster ability and the changing meteorological parameters.
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