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Under smart grid, a new programming method of friendly power distribution system is proposed in this paper considering the voltage tolerance of customer equipment under short time power quality disturbances. Due to the uncertainty of power quality during the change of power system structure, the assessment of potential cost caused by customers' equipment failures under possible disturbances for different planning schemes is proposed. The programming method based on customer cost including the potential costs is correlated with the disturbances and voltage tolerant level of customer equipment. Based on maximum entropy principle and fuzzy analysis method, the compatibility between system disturbance and equipment is studied also. This method has been applied to RBT Bus2 distribution system. The results validate that the planned distribution system considering the customer potential losses is with more comprehensive benefit. [ABSTRACT FROM PUBLISHER]

Based on comparison analysis in programs of Cloud Computing and Grid Computing ,this paper has studied the effects produced by Cloud Computing on the extension and the development of Grid Computing programming, and the programming ,the implementation and the consideration points which should be taken in the application process of Cloud Computing was proposed. Firstly, Cloud Computing, for general computing, is Internet-Oriented ;secondly, Cloud is added with virtualization technology ,which made previous distributed- technologies such as grid technology as infrastructure and greatly improved the abstract level ;lastly, Cloud Computing is a applied technology for commercials, and it requires less strictly in the coupling than Grid Computing. However, the Grid Computing is mainly used in the field of scientific computing which is specific and identified. Moreover, its infrastructure needed to be constructed on its own characteristic, with its abstract level is not high enough. Therefore, the programming method and key points applied are different. Keywords: grid computing cloud computing programming method. [ABSTRACT FROM AUTHOR]