Chang Xie

A Local Loss Reduction Method Based on Injected Power Sensitivity

As an important economic indicator of power system, the reduction of the line loss rate has important significance for improving power transmission efficiency and saving energy. This paper put forward a local loss reduction method based on injected power sensitivity, which can reduce the loss of local lines quickly and effectively by adjusting the injected active power of generator nodes and the injected reactive power of reactive power compensation nodes in order to meet the requirements of safety and economic. First, this method established the model of loss reduction rate, which can transform the problem of reducing the line loss rate into the problem of adjusting the power injection. Then it determined the generator nodes and the reactive power compensation nodes which need to adjust during the process of the loss reduction by sensitivity calculation. Finally, it calculated the adjustment of injected power according to the principle of equal and opposite adjustment in pairs. Through analyzing the example of IEEE 118 node system, this method was proved the effectiveness and rapidity.

An Auto-Generated Method of Day-Ahead Forecast Powerflow for Security Correction of Power Grid Maintenance Scheduling

Traditional method of security correction of power grid maintence scheduling exists problems, such as rough calculations, larger error of the results.The using of day-head forecast powerflow for security correction of power grid maintence scheduling will solve the above problem. This paper presents a auto-generated methods of day-ahead forecast power flow for security correction of power grid maintence scheduling, which will automatically generate the day-head forecast power flow and improve the precision and accuracy of security correction work of power grid maintence scheduling. Fistly, based on the powerflow calculation model of security correction of power grid maintence scheduling, analysis the Parameters constitute of day-head power grid normal operation method. Secondly, auto-generate the Parameters used for day-head forecast powerflow calculation by data processing and data fitting of Multiple Data Sources.Thirdly, by automatic adjust of the power, auto-generate the day-head forecast power flow. By calculating a practical example, this paper comparative analysis of day-head forecast powerflow, off-line powerflow and actual powerflow. The result verify the validity and practicability of this method.