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Dynamic coordination of photovoltaic-storage-charging in transportation service areas considering photovoltaic fluctuation

Zhang Lei, Cao Lipeng, Yang Wenyong, Yu Yang, Pan Yuanxuan

Opto-Electronics Review

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2026

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Vol. 34, No. 3

art. no. 1615

EN

This article proposes a dynamic coordination and scheduling method for photovoltaic, energy storage, and charging systems in highway service areas. Based on the topology of the DC distribution network in the service area, we analyse the dynamic characteristics of each element, characterise the photovoltaic stochastic process using beta distribution and construct a multi-objective model. The objectives include maximising photovoltaic integration, minimising output tracking deviation and system operating costs, and maximising energy storage revenue, as well as integrating photovoltaic output, energy storage state of charge, and charging load fluctuations into an uncertainty set, embedding robust constraints to enhance anti-interference, and combining fuzzy membership functions with an improved whale optimisation algorithm to achieve multi-objective optimisation. Simulation results show that this method effectively smooths the peak to valley load, reducing the peak load to below 300 kW and reducing the peak to valley difference to 200 kW. Under various fluctuation scenarios, the photovoltaic utilization rate exceeds 90%, energy storage output is safe, and user comfort loss remains stable between 0.102 and 0.113. This study provides a dynamic scheduling solution for energy systems in the field of transportation services, balancing renewable energy integration, economic efficiency, safety, and user experience.

2

Parallel collaboration and closed-loop control of a cursor using multimodal physiological signals

Ye Zeqi, Yu Yang, Zhang Yiyun, Liu Yingxin, Sun Jianxiang, Zhou Zongtan, Zeng Ling-Li

Biocybernetics and Biomedical Engineering

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2024

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Vol. 44, no. 3

470--480

EN

This paper explores the parallel collaboration of multimodal physiological signals, combining eye tracker output signals, motor imagery, and error-related potentials to control a computer mouse. Specifically, a parallel working mechanism is implemented in the decision layer, where the eye tracker manages cursor movements, and motor imagery manages click functions. Meanwhile, the eye tracker output signals are integrated with electroencephalography data to detect the idle state for asynchronous control. Additionally, error-related potentials evoked by visual feedback, are detected to reduce the cost of error corrections. To efficiently collect data and provide continuous evaluations, we performed offline training and online testing in the designed paradigm. To further validate the practicability, we conducted online experiments on the real-world computer, focusing on a scenario of opening and closing files. The experiments involved seventeen subjects. The results showed that the stability of the eye tracker was optimized from 67.6% to 95.2% by the designed filter, providing the support for parallel control. The accuracy of motor imagery conducted simultaneously with fixations reached 93.41 ± 2.91%, proving the feasibility of parallel control. Furthermore, the real-world experiments took 45.86 ± 14.94 s to complete three movements and clicks, and showed a significant improvement compared to the baseline experiment without automatic error correction, validating the practicability of the system and the efficacy of error-related potentials detection. Moreover, this system freed users from the stimulus paradigm, enabling a more natural interaction. To sum up, the parallel collaboration of multimodal physiological signals is novel and feasible, the designed mouse is practical and promising.

3

Transformer-based cross-modal multi-contrast network for ophthalmic diseases diagnosis

Yu Yang, Zhu Hongqing

Biocybernetics and Biomedical Engineering

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2023

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Vol. 43, no. 3

507--527

EN

Automatic diagnosis of various ophthalmic diseases from ocular medical images is vital to support clinical decisions. Most current methods employ a single imaging modality, especially 2D fundus images. Considering that the diagnosis of ophthalmic diseases can greatly benefit from multiple imaging modalities, this paper further improves the accuracy of diagnosis by effectively utilizing cross-modal data. In this paper, we propose Transformerbased cross-modal multi-contrast network for efficiently fusing color fundus photograph (CFP) and optical coherence tomography (OCT) modality to diagnose ophthalmic diseases. We design multi-contrast learning strategy to extract discriminate features from crossmodal data for diagnosis. Then channel fusion head captures the semantically shared information across different modalities and the similarity features between patients of the same category. Meanwhile, we use a class-balanced training strategy to cope with the situation that medical datasets are usually class-imbalanced. Our method is evaluated on public benchmark datasets for cross-modal ophthalmic disease diagnosis. The experimental results demonstrate that our method outperforms other approaches. The codes and models are available at https://github.com/ecustyy/tcmn.

4

Simultaneous determination of carbofuran and 3-hydroxycarbofuran in duck liver by an UPLCMS/MS

Chen Siyuan, Yu Yang, Ma Jianshe, Wen Congcong, Wang Xianqin, Zhou Quan

Acta Chromatographica

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2021

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Vol. 33, no. 4

354--360

EN

Carbofuran is a carbamate pesticide, a broad-spectrum, high-efficiency, low-residue, and highly toxic insecticide, acaricide, and nematicide, widely used in agriculture. Carbofuran is most harmful to birds, and birds or insects killed by furan poisoning can be killed by secondary poisoning after being foraged by raptors, small mammals, or reptiles. In this paper, an UPLC-MS/MS method was developed for the determination of carbofuran and its metabolite, 3-hydroxycarbofuran, in duck liver. Liver tissue was first ground into a homogenate and then passed through ethyl acetate liquid-liquid extraction processing samples. Multiple reaction monitoring (MRM) mode was used for quantitative analysis, m/z 222.1 → 165.1 for carbofuran, m/z 238.1 → 180.9 for 3-hydroxycarbofuran and m/z 290.2 → 198.2 for an internal standard. The standard curves of carbofuran and 3-hydroxycarbofuran in duck liver were within a range of 2-2000 ng/g, where the linearity was good, the lower limit of quantification was 2 ng/ g. The intra-day precision of carbofuran and 3-hydroxycarbofuran was <14%, and the inter-day precision was <13%, the accuracy range was between 91.8 and 108.9%, the average extraction efficiency was higher than 75.1% with a matrix effect between 93.4 and 107.7%. The developed method was applied to a situation of suspected duck poisoning at a local farm.

5

Numerical simulation of borehole Stoneley wave refection by a fracture based on variable grid spacing method

Ou Weiming, Wang Zhuwen, Ning Qinqin, Xu Fanghui, Yu Yang

Acta Geophysica

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2019

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Vol. 67, no. 4

1119--1129

EN

In this paper, the finite difference method is used to model the Stoneley wave refection by a horizontal fracture in a borehole. The fracture shape is described by some finite difference grids. Therefore, the fracture aperture can be varied in the radial direction, thus extending previous researches on the assumption that the fracture aperture is constant throughout the fracture. Finite difference grids can also be used to describe a fracture which extends a finite distance in the radial direction. In addition, the finite difference algorithm can deal with the problem of inhomogeneous formation. Therefore, it allows the variation of formation elasticity in the model. Fine grids are needed to describe the small fracture aperture, and variable grid spacing is employed by finite difference method to improve computational efficiency. The Stoneley wave propagation is simulated by the variable grid spacing finite difference method in several models with variable fracture aperture, finite extension fracture and models with heterogeneous formation. The variable grid spacing finite difference method is validated through a comparison with real axis integration method and the analytical method. We get some conclusions by simulating and investigating effects of the variation of fracture aperture, the fracture of finite extension and inhomogeneity of formation on the Stoneley wave refection. Although the fracture aperture changes along the fracture extension direction, the refection coefficient of Stoneley wave is mainly controlled by the fracture aperture near the borehole. The Stoneley wave in the fracture is reflected back into the borehole, by the tip of finite extension fracture, which results in some notches in the refection coefficient curve. If the Stoneley wave propagates from the formation with small elastic modulus to the formation with large elastic modulus, the refection coefficient of Stoneley wave will be larger than that of homogeneous model with small elastic modulus. And if Stoneley wave propagates from the formation with large elastic modulus to the formation with small elastic modulus, the refection coefficient of Stoneley wave will be smaller that of homogeneous model with large elastic modulus. These results provide some basis for the use of Stoneley wave to detect the fracture properties in formation.