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| Probabilistic Evaluation of Short-Circuit Currents in Active Distribution Grids Considering Low Voltage Ride-Through Uncertainty of Photovoltaic |
| Li Yuze1, Zhou Niancheng1, Hou Jiansheng2, Wu Jiafang1, Gong Li2 |
1. State Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing University Chongqing 400044 China;
2. Jinhua Electric Power Design Institute Co. Ltd Jinhua 321016 China |
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Abstract The short-circuit current of photovoltaic power generations is determined by the sag of grid-connected voltage and low voltage ride-through during the fault, however both voltage and low voltage ride-through are uncertain. Short-circuit current characteristics of photovoltaic power generations, under different terminal voltage sags, is analyzed. Considering uncertainty of low voltage ride-through ability, the normal distribution probability density function is used to characterize the random characteristics of photovoltaic power generation, then a stochastic evaluation model of low-voltage off-grid is established. Moreover, based on Monte Carlo method, a probabilistic evaluation method of short-circuit currents in active distribution grids, considering low voltage ride-through uncertainty, is proposed. The probability distribution of short-circuit current in the system is determined by short-circuit current characteristics of photovoltaic generations, low-voltage off-grid model and fault conditions. Finally, the method is verified by calculation examples with 13-node and 50-node respectively. In addition, the proposed method comprehensively considers random factors of faults occurrence and low-voltage off-grid, therefore the obtained results can accurately reflect the actual short-circuit current level in power system.
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Received: 16 January 2019
Published: 12 February 2020
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2020, Vol. 35 
