Power and Energy

This dataset is shared for capacitor C and ESR estimation using convolution neural network. The dataset is collected in a experimental modular moultilevel converter, which includes the capacitor voltage at low and medium frequency band, and the arm current. Wavelet transform is used to transfer the time series data to images, which present the inherent data features to image patterns. In a degraded capacitor, the C decreases and the ESR increases, which result in different image patterns.

This research presents a multi-channel phase shift inductor-inductor-capacitor (LLC) resonant converter with a wide input and output voltage range that has been specially optimized for fuel cell applications. The worst-case minimum stack voltage and the battery voltage range were used to determine the optimal parameters of the LLC converter. The voltage gain of the converter operating at a constant power was considered, and an algorithm for such a calculation is proposed.

This letter proposes a virtual slack bus Newton-Raphson power flow (VSB-NRPF) algorithm serving for the PF analysis of droop-controlled medium-voltage direct current (MVDC) systems operating in islanded mode without a slack bus. In the proposed algorithm, one of the original power, current, power/voltage and current/voltage buses is assumed to be a virtual slack bus with an initial rated dc voltage, the value of which is corrected based on the actual PF balance equation at the original bus.

Nowadays, decentralized organization has become the emerging characteristic for AC-DC hybrid distribution systems (DS) facilitated by modern power electronic and information & communication techniques. This urges the DS to drop the centralized power supplying mode. In substitution, the DS is divided and operated as several self-adequacy subnetworks. In this paper, a two-stage Wasserstein distributionally robust optimization (WDRO) framework is proposed to provide a dynamic regionalization strategy for unbalanced AC-DC hybrid DSs.