Research On Dps Impedance Calculation Method And Simulation Software

Power system impedance is an important technical parameter to measure stability of DC power system (DPS), this parameter is of great practical significance to DPS design and stability analysis. Simulation software based on research of impedance stability theory and testing method make stability theory applied to practical power system design and stability analysis, at the same time, using of simulation software avoids the inconvenience of online testing and Impact to normal operation system. So the research and design of simulation software have some practical value and application prospect.In this paper, we have mainly exploratory research in DPS'stability theory, research methods, the system model and experimental Methods. We research the impact of impedance matching to DPS'stability from basic theory, software simulation and circuit experiment, in order to verify the accuracy of impedance criterion and the reliability of simulation software, we acquire multiple sets of experimental data and summarize frequency characteristics of power supply output impedance and the load input impedance by comparing. This paper analysis reasons of instability when impedance relation does not match the 6dB criterion.Based on the research to DPS'characteristics and impedance theory, this paper builds mathematical models of bus voltage, bus current and excitation current signal. The simulation software achieves two functions: bus voltage simulation test and index distribution of load impedance. The simulation software can output time domain and frequency domain waveforms of bus voltage when given power output impedance and input impedance, what's more, it can propose stability impedance indicator when given power data of source and loads.Power system impedance testing is one of difficulties in stability study, this paper discusses the basic principle of impedance test system, designs experimental circuit and verifies correctness of impedance criterion and practicality of Simulation Software by detailed analysis to experiment results and data errors.