Active incremental update algorithm for abnormal information of photovoltaic power generation units
A proactive incremental update algorithm for abnormal information of photovoltaic power generation units is proposed to address the issues of extended update time and incomplete update results during the intensive abnormal information update operation of photovoltaic power generation units.Obtain effective incremental features through feature extraction,wavelet transform,and modulus maximum calculation;Build an incremental feature bag model and annotate it;Combining ant colony algorithm to search for abnormal information,calculating the minimum average bandwidth and optimal update path,and improving the data by dynamically updating compatible and decision-making abnormal information;Adopting a two-stage collective update scheme for incremental information collection and verification of incremental distribution to obtain proactive incremental update abnormal information.From the experimental results,it can be seen that the update delay of this algorithm does not exceed 40 seconds under all verification nodes,and it can ensure the integrity of the update results.
photovoltaic power generation unitabnormal informationactive incrementalupdate
万方数据
维普
