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Abstract. In this paper, considering the load, wind power and photo voltaic timing characteristics, stablishes a planning model containing distributed power energy storage device. In the planning model, the minimization of the total cost including the initial investment, fuel costs, net loss costs, environmental damage costs, operation and maintenance costs and power purchase costs. To improve the acceptance ability of the distribution network, and to ensure the economy. Then, using the particle swarm optimization algorithm to solve a typical example, to show that the model and the proposed method is correct and effective.

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A new method about location for single-phase grounding fault is proposed in this paper which is based on wide-area synchronizing information. This method is based on the line model of distributed parameters in distribution network, and constructs a fault location function according to the relations between fault current and fault distance. The transverse fault current which is corresponding to the hypothetic fault distance can be obtained using the synchronized information of the currents and voltages from two ends of a line, and the maximum transverse fault current can be obtained also using the interactive search algorithm on the whole line, the distance which is corresponding to the maximum of the transverse fault current is the fault distance. Through a lot of computer simulations using the MATLAB and field experiments, the results show that the method is dependable and high precision. Furthermore, the new method can be generalized to the other fault types Key words ： distribution network; single-phase grounding fault; fault location; wide-area measurement; synchronizing information zhirui LIANG was born in 1959, he is a professer of North China Electric Power University; the director of Power Supply Teaching and Research Section. Meanwhile, he is a member of city power supply special committee of Chinese Society of Electrical Engineering.His areas of interest in research are power system analysis, the mesurement and analysis of electrical equipment parameters and the technology of intellectualized examination and control. yu MU was born in 1985, she is a graduate student of North China Electric Power University.Her areas of interest in research are power System and its automation.

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