研究目的
Investigating the probabilistic short-circuit current (PSCC) in active distribution networks considering the low voltage ride-through (LVRT) of photovoltaic generation.
研究成果
The paper reveals the effect of low voltage disconnection on system short-circuit current from the perspective of probability, providing an effective basis for system equipment selection. The proposed method can comprehensively grasp the probability distribution of the system short-circuit current, offering more objective results compared to precise calculation methods under human specific conditions.
研究不足
The study assumes that the probability density functions of random variables t and U are equivalent to the evenly distributed probability density functions in probability theory. The actual low voltage ride-through capability of different types of inverters may vary, and the study's assumption may not fully capture this variability.
1：Experimental Design and Method Selection:
The study analyzes the changing trajectory of the equivalent internal potential of photovoltaic generation during LVRT using short-circuit current characteristics and Thevenin equivalent circuit in the transient state. The probability density function by the maximum entropy method is used to characterize the stochastic process of low voltage disconnection of photovoltaic generation.
2：Sample Selection and Data Sources:
The study uses two cases of 9-node and 34-node distribution network to verify the effectiveness of the method.
3：List of Experimental Equipment and Materials:
MATLAB/Simulink is used for simulation modeling.
4：Experimental Procedures and Operational Workflow:
The study proposes a calculation method of PSCC in active distribution network considering the uncertainty of low voltage ride-through of photovoltaic generation based on the fault information.
5：Data Analysis Methods:
The study uses the maximum entropy method to determine the probability density functions of random variables t and U.
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