A data processing method for reactive power optimization of distribution network
A technology for optimizing data and processing methods, applied in the field of distribution network, can solve problems such as difficulty in fully utilizing big data, and achieve the effects of preventing accident expansion, preventing accidents, and ensuring voltage quality
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[0044] The technical solutions provided by the present invention will be further described below in conjunction with the accompanying drawings.
[0045] DG output and load data in the distribution network reactive optimization have the characteristics of randomness and uncertainty, different from the traditional single value representation, and the large data is more tended to use the interval or probability density function. Provide a more systematic, comprehensive data support. Distributed power supply and load prediction of distribution networks have particularity, and its data is complicated, and it is difficult to directly fit its probability density function. The present invention is intended to process the distribution network DG drainage and load data, converting it to the data format represented by the probability density function, and establishs data support for the distribution network.
[0046] The distribution mesh in which the distribution network provided by the pre...
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