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Extracting the charging loads of residential electric vehicle (EV) clusters and identifying their charging patterns can help grid operators develop effective regulation strategies. The duration of the power consumption event (PCE) and the interval between adjacent events are used to characterize the difference in the stochastic behavior of the load pattern between the EV cluster and the air conditioner (AC) cluster. An event detection method based on skipping power difference is proposed, which can effectively identify changing edges of the PCE. A training-free non-intrusive load extracting (NILE) algorithm based on bounding-box fitting and load signatures is proposed, which can automatically identify the start time, the end time and the power amplitude of the charging event. The validity of the NILE algorithm is verified by multiple performance metrics on the real data set.INDEX TERMS Bounding-box fitting, electric vehicle, load pattern, non-intrusive load extracting.

In order to deal with the problem of massive historical multi-station SCADA data storage in distribution management system, this paper proposes a data compression method for power distribution system based on tensor Tucker decomposition. Firstly, to maintain the high-dimensional spatial structure of multi-station SCADA data of distribution management system in the presentation stage, we establish a thirdorder tensor representation model of multi-station SCADA data. Then, a historical SCADA data compression method for distribution management system based on tensor tucker decomposition is proposed. This method can compress the data while maintaining the spatial intrinsic structure of multi-station SCADA data. Finally, the effectiveness of the method is verified using real data. And, the results of comparison with singular value decomposition method and principal component analysis method show that the proposed method is superior to the traditional method. INDEX TERMS Multi-station SCADA data, tensor tucker decomposition, data compression, power distribution system, spatial intrinsic structure.

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To solve the oxygen supply problem of proton exchange membrane fuel cell (PEMFC), this paper presents a reduced-order active disturbance rejection control method for PEMFC air intake system based on the estimation of oxygen excess ratio(EOER-RADRC). First, a control-oriented third-order nonlinear model was established based on PEMFC air intake system. Then, based on the control-oriented model, the disturbance extended state observer was designed to solve the problem of unmeasured cathode pressure parameters in the calculation of oxygen excess ratio (OER), and realize the real-time estimation of OER. Next, aiming at the large phase lag of active disturbance rejection control (ADRC), a reduced-order ADRC method based on reduced-order extended state observer was proposed by a variable substitution technique. So, the proposed method reduces the observation phase lag and improves the dynamic response performance under good antidisturbance ability. Finally, the simulation and hardware-in-the-loop experience results showed that the proposed method has an excellent control effect compared with other methods.