Typical Scene Division of Low-voltage Platform Area Based on Resource Endowment and Load Characteristics
With the increasing access ratio of photovoltaic and electric vehicles in the distribution network,these non-linear and random loads have a significant impact on the operation of the distribution platform area,frequently causing power quality problems such as three-phase imbalance,voltage fluctuation and harmonics.In view of the difference in the source and load composition of different distribution stations,the power quality problems and causes are also different.To solve these problems,this study proposes a typical scene division method for low-voltage stations based on resource endowment and load characteristics.First,the operation characteristics of the distribution stations in different scenarios are analyzed,and then the K-means clustering method is used.By analyzing the examples based on K-means clustering,we can accurately identify the root causes of the power quality problems in the demonstration stations,thus verifying the effectiveness of the proposed method.
distribution networkphotovoltaicelectric vehicleslow-voltage platform areaK-means clusteringload characteristicspower quality
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