Haijiao Wang

Xinxiang Medical University

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

Renewable energy transmission by HVDC across the continent: system challenges and opportunities

CSEE Journal of Power and Energy Systems (2017)

Jian Sun Mingjie Li Zhigang Zhang Tao Xu Jingbo He

Rapid development of renewable energy in China is driving a major shift in the characteristics and control requirements of the electricity grid. Since the best renewable energy resources are far away from load centers in the east and southeast, transmission over long distances is required. Over 20 high-voltage DC (HVDC) transmission lines, with a combined capacity exceeding 150 GW, are in operation or are currently under construction. This rapid expansion of new generation and transmission capacities based on power electronics starts to change the characteristics of the grid, especially in areas where they concentrate, creating new stability problems and operational challenges. New system theories and technologies are required to support the development and operation of a future grid that relies more and more on power electronics. This paper highlights the characteristics of power electronics as used in renewable energy generation and HVDC transmission systems, discusses the impacts of these power-electronics-based assets on grid stability and operational requirements, and identifies opportunities for the development of both new system theories and system technologies to support a national energy policy that emphasizes the use of clean energy.

Transmission system

10.17775/cseejpes.2017.01200

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Citations (272)

pH‐Responsive Pt@mSiO₂@CaP Core–Shell Nanoplatforms for Synergistic Chemo‐ and Photothermal Therapy

Particle & Particle Systems Characterization (2023)

Junlei Wang Danyang Li Qing Xu Haijiao Wang Chengfeng Liang

Part. Part. Syst. Charact. 2022, 39, 2200097 DOI: 10.1002/ppsc.202200097 In the published version of this article, all of the authors are listed as corresponding authors. This is a mistake, and the only corresponding author should be Nina Jiang. The correct affiliations are therefore as follows: J. L. Wang, D. Y. Li, Q. Xu, H. J. Wang, C. F. Liang, X. Y. Zhang, A. Z. Chen, N. N. Jiang College of Chemical Engineering Huaqiao University Xiamen 361021, P. R. China E-mail: [email protected] S.-B. Wang, A. Z. Chen, N. N. Jiang Fujian Provincial Key Laboratory of Biochemical Technology (Huaqiao University) Xiamen 361021, P. R. China

Zhàng

Mistake

Chen

10.1002/ppsc.202388097

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Disaggregation-driven far-red BODPIY dye for selective G4 DNA structures detection

Tetrahedron Letters (2024)

Yansong Chen Hao-Wen Cao Jingzhi Li Haiwen Chen Lu-Yu Li

Far-red

10.1016/j.tetlet.2024.155033

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Active Control Strategy for Wind Farm Systems to Prevent Sub/super-Synchronous Oscillations

2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES) (2021)

Haijiao Wang Liu Chun

In recent years, the sub/super- synchronous oscillations problem has emerged as an important operational risk in the large-scale wind power systems of China. Some practical solutions that are mainly based on the control parameters improvements of wind turbine generators have been taken to prevent the oscillations. However, due to the complex operation conditions and continuous development of wind power, these off-line measurements cannot completely eliminate the potential oscillations risks. This paper is to propose an on-line stability analysis and active control method for large-scale wind power systems to prevent the sub/super-synchronous oscillation. At first, two-input two-output (TITO) system model and multi-input multi-output (MIMO) system model are presented for wind farm system, as well as the corresponding stability analysis approach. Then, an active control strategy for wind farm systems to prevent oscillations are proposed, which contains system level control and farm level control. Finally, the effectiveness of the proposed method is verified by the detailed time-domain simulation of a multiple wind farms system defined based on actual wind power base in China.

Oscillation (cell signaling)

Tie line

10.1109/aeees51875.2021.9403139

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Citations (3)

A rapid microwave synthesis of green-emissive carbon dots with solid-state fluorescence and pH-sensitive properties

Royal Society Open Science (2018)

Tingting Yu Haijiao Wang Chongzheng Guo Yan-Li Zhai Jianzhou Yang

The emerging carbon quantum dots (CQDs) have been attracting significant attention for their prominent fluorescence, excellent stability and outstanding biocompatibility. Here, we report a facile one-step synthesis of highly fluorescent CQDs by using phthalic acid and triethylenediamine hexahydrate as precursors through a simple microwave-assisted method. The reaction time needed is only 60 s, which is less time-consuming than most previous reports. The phthalic acid with a benzene ring can improve the photoluminescence properties of CQDs as it can provide foreign sp2 conjugating units, and then finally result in long-wavelength emission. The synthesized CQDs were fully characterized by transmission electron microscopy, X-ray photoelectron spectroscopy and Fourier transform infrared spectroscopy. Besides, the impacts of different freed ratio on physical and chemical properties of CQDs were investigated in detail. The prepared CQDs exhibited strong green fluorescence with a broad maximum emission wavelength. The quantum yields of the CQDs can reach 16.1% in aqueous solution and they were successfully used in cell imaging with good biocompatibility. Moreover, in solid state, the CQDs with the feed ratio of 1 : 0.5 showed a strong green-yellow fluorescence which may have great potential to fabricate optoelectronic devices. Furthermore, the prepared CQDs also showed high pH sensitivity and can act as a fluorescence nanosensor for pH sensing.

Biocompatibility

Nanosensor

Phthalic acid

Carbon fibers

Quantum yield

Biological Imaging

Nanomaterials

10.1098/rsos.180245

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Citations (68)

The Value of Diagnosis and Treatment to Sequestered Lumbar Disc Herniation by Way of CT and MRI

China Foreign Medical Treatment (2011)

Haijiao Wang

Objective To investigate the value of diagnosis and treatment to sequestered lumbar disc herniation by way of CT and MRI.Methods Review the CT and MRI of 55 sequestered lumbar disc herniations.Results The meet ratio of CT is 76.36%,the meet ratio of MRI is 100%.Conclusion MRI is the most effective way to diagnose sequestered lumbar disc herniation.MRI should be choosed when intraspinal spot appear above or under lumbar disc,or when the result of CT is inconsistent with Clinical check.And MRI examination to determine the operative procedures have clear guidance.

Lumbar disc herniation

Disc herniation

Source

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Tuning the push-pull dyes: Construction of polarity insensitive probes for G4 DNA

Dyes and Pigments (2024)

Haiwen Chen Su'an Tan Jingzhi Li Lu-Yu Li Zekai Li

Polarity (international relations)

10.1016/j.dyepig.2024.112407

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An Overview on Small-Signal Modeling and Stability Analysis Methods of Voltage-Source Converter Grid-Connected System

2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES) (2021)

Haijiao Wang Huadong Sun Xinyu Lu

As the proportion of renewable energy sources such as photovoltaic and wind power generation in the power system continues increasing, the stability problems caused by the control of voltage-source converters (VSCs) have been increasingly emerging. At present, there are divergent opinions on the small-signal modeling and stability analysis methods for VSC grid-connected system, and there is a lack of consensus. This paper summarizes the latest developments in different modeling and analysis methods for VSC grid-connected system, analyze the relationships and differences between different methods, and theoretical analysis and time-domain simulation are presented to prove the accuracy and consistency of different methods when applied to system stability analysis.

SIGNAL (programming language)

10.1109/aeees51875.2021.9403103

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Citations (2)

A recurrent neural network‐based rotor displacement estimation method for eight‐pole active magnetic bearing

IET Electric Power Applications (2024)

Longyuan Fan Zicheng Liu Haijiao Wang Dong Jiang Y. P. Chen

Abstract Active magnetic bearing (AMB) is a key technology in high‐speed rotating machines for rotor suspension, where the displacement sensors play a crucial role in detecting and controlling the rotor position. However, the traditional displacement sensors have the problems of high cost, large volume and poor reliability. To solve these problems, this paper proposes an innovative solution that utilises a recurrent neural network (RNN) to estimate the rotor displacement from the current in the AMB controller. The proposed method offers high‐quality prediction performance for the rotor displacement which is close to the high precision eddy current displacement sensors. The mathematical model of AMB is analysed to provide guidance in historical current data acquisition and design of RNN. The input dimensions and the architecture of the neural network are optimised to improve both prediction accuracy and computational complexity. Experimental results validate the effectiveness of the algorithm and demonstrate that the proposed method has high accuracy, robustness and generalisation ability.

Magnetic bearing

10.1049/elp2.12499

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Retraction notice to "Long non-coding RNA LINC00460 promotes epithelial ovarian cancer progression by regulating microRNA-338–3p" [Biomed. Pharmacother. 108 (2018) 1022–1028]

Biomedicine & Pharmacotherapy (2022)

Xiaoxia Liu Jihong Wen Haijiao Wang Yanli Wang

10.1016/j.biopha.2022.113354

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Citations (0)