Integration of distributed energy resources, such as photovoltaics, has expanded rapidly within power distribution networks in recent years. Existing management architectures face great challenges in balancing data security and communication efficiency. To address this issue, the paper proposes a cloud-edge collaborative framework that caters to managing multiple distributed energy resources. Firstly, a two-stage structural design method is introduced to determine the optimal configuration of edge nodes for variable reduction. Secondly, a credit-based data interaction scheme considering inherent uncertainty of distributed energy resources is proposed to ensure trustworthy cloud-edge collaborative optimizations. The above work is expected to facilitate the in-depth application of cloud-edge collaboration in the energy scheduling field.

This paper proposes a new driving method for a switched reluctance motor (SRM) by using a standard full bridge. The windings in the SRM are connected in series to build a ring structure, where a controllable DC source is inserted. Based on the new structure, the theoretical analysis and calculation are made to determine the control parameters. Besides three-phase SRM, the new idea can also be applied to the SRMs with four and five phases. The new driving method is compared with the conventional method by simulation. The results show that with the new method, the ripple of torque and speed in the SRM reduces. The influence of the proposed method on the power rating and losses is then analyzed. The validation is also made to verify the application of the new method and the difference between the conventional driving method and the proposed method. The measured results match the simulated results well.

In order to reduce the torque ripple of a switched reluctance motor in the electric vehicles, a space vector pulse width modulation (SVPWM) driving method for the switched reluctance motor (SRM) is proposed. With a ring structure, a three-phase SRM can be driven by using a standard full-bridge power converter instead of the conventional asymmetric H-bridge. Based on this type of driving topology, an SVPWM method is applied for driving the SRM. The SVPWM method is compared to the conventional SRM driving method by using the asymmetric H-bridge, the results show that the SVPWM can reduce the torque ripple in the SRM effectively. The experimental validation is also made to verify the proposed driving topology and method, of which the results match well with the simulated results.

A direct torque control (DTC) strategy tailored for switched reluctance motor (SRM) with ring winding structure is proposed. In the proposed topology, stator voltage vectors are reconstructed, and explain the working modes of the SRM. Estimating the reference circulating current by a neural network, that flux magnitude and torque as inputs. With which, ensuring consistent direction of the three-phase winding currents. Circulating current control system and DTC control system of SRM with ring winding structure. Compared the performance of the SRM under various operating conditions in Simulink, validating the effectiveness of the control system.

A flat bottom current control method is introduced in this article for torque tipple and power loss reduction in a switched reluctance motor (SRM). The proposed driving method operates on the basis of a ring structure driving topology, which drives an SRM by a full-bridge inverter instead of a conventional asymmetric H-bridge, to reduce the cost of the driving system and improve the performance of the SRM. The proposed driving method generates the winding currents with flat bottom waveform, by injecting an additional second and fourth harmonic in the sinusoidal waveform currents, the equations of the flat bottom winding currents are then obtained. Based on the theoretical analysis and calculation, the flat bottom driving method reduces the copper loss, compared with the space vector PWM (SVPWM) driving method and the direct torque control (DTC) method, and generates smoother current commutation than the conventional pulse current driving method. The proposed driving method is validated with a 6/4 SRM through simulation and experimental system, of which the results are compared to that of the SVPWM driving method, conventional pulse current driving method, and DTC method, under different speed and load conditions.