Yu Jiang
5 Papers
Yu Jiang is an academic researcher. The author has contributed to research in topics: Scheduling (production processes) & Computer science. The author has an hindex of 1, co-authored 3 publications.
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Papers
Data‐driven optimal scheduling for underground space based integrated hydrogen energy system
TL;DR: In this article , a deep deterministic policy gradient (DDPG)-based optimal scheduling method for underground space-based integrated hydrogen energy systems (IHESs) is proposed, where the energy management problem is formulated as a Markov decision process to characterize the interaction between environmental states and policy.
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The Key Equipment of Low-Frequency Four-Phase Independent Power System: Topology Structure and Control Strategy of Four-Phase Voltage Source Converter
Di Zhu,Chuang Liu,Zhongchen Pei,Jingyue Wang,Yu Jiang +4 more
- 04 Nov 2022
TL;DR: In this article , the average model of the proposed converter topology and the grid-forming and grid-following control strategy based on two-phase independent control is discussed. And the smooth switching method of low-frequency four-phase to three-phase mode under line fault and operation maintenance conditions is analyzed respectively.
Model-Free Predictive Control of Dual Active Bridge Converter Based on Sliding-Mode Observer Considering Parameters’ Uncertainty
Abstract: The strong parameter dependency of model predictive control (MPC), despite its capability to enhance dynamic performance in dual-active-bridge (DAB) converters, remains a critical limitation. To overcome the parameters’ uncertainty of DAB, this article proposes a model-free predictive control (MFPC) method integrated with a sliding-mode observer (SMO). First, to enhance the steady-state efficiency of the DAB converter, optimization strategies for natural zero-voltage switching (ZVS) and full ZVS are proposed under the constraint of minimum current stress. A comprehensive analysis of the advantages and disadvantages of both methods is conducted, and the most efficiency-optimal approach is selected based on experimental results. Second, an ultralocal model of the DAB converter is established, which innovatively consolidates all uncertainties into a unified lumped disturbance. A full-order SMO is employed to estimate the lumped disturbance in real time, replacing traditional parameter identification techniques. This reduces computational burden while enhancing system robustness. Finally, experimental comparisons with other schemes validate the effectiveness and superiority of the proposed method.
Soft-Switched Single-Stage Bidirectional High-Frequency Isolated DC-AC Converter
Yu Jiang,Chuang Liu,Rutian Wang +2 more
- 22 Jun 2025