Xinying Jiang

ORCID: 0009-0006-7581-5628
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About
Contact & Profiles
Research Areas
  • Microgrid Control and Optimization
  • Islanding Detection in Power Systems
  • Multilevel Inverters and Converters
  • COVID-19 epidemiological studies
  • Electricity Theft Detection Techniques
  • Power Systems Fault Detection
  • Thin-Film Transistor Technologies
  • COVID-19 Pandemic Impacts
  • HVDC Systems and Fault Protection
  • Smart Grid Energy Management
  • Silicon Carbide Semiconductor Technologies
  • Optical Network Technologies
  • Catalytic Processes in Materials Science
  • Electric Vehicles and Infrastructure
  • Power Systems and Renewable Energy
  • Advanced battery technologies research
  • Photovoltaic System Optimization Techniques
  • Electrocatalysts for Energy Conversion
  • Advancements in PLL and VCO Technologies
  • Photonic and Optical Devices

North China Electric Power University
2023-2025

University of Macau
2025

Seoul National University
2020

Daresbury Laboratory
1986

Accurate identification of fault control parameters (FCPs) in the inverter-interfaced renewable energy source (IIRES) is crucial for simulating characteristics and designing protection. However, accurate can be challenging due to correlation among FCPs. To address this issue, (COP) IIRES process comprehensively investigated s-domain time-domain first time, a multistage parameter method proposed. This partitions transients different time sequences state spaces, allowing COP decoupled FCPs...

10.1109/tpel.2023.3298064 article EN IEEE Transactions on Power Electronics 2023-08-01

The detailed model parameters are fundamental to fault characteristics analysis and protection design. Accurate acquisition of inverter controller is essential analyze the transient Inverter Interface Renewable Energy Sources (IIRESs). However, it challenging identify using three-phase current owing coupling relationship between phase-locked loop (PLL) inner loop. Given this, IIRESs considering non-linear different control loops investigated. A dynamic response difference-based parameter...

10.1109/tsg.2023.3308110 article EN IEEE Transactions on Smart Grid 2023-08-24

r e v a l s i g n f c t bond h changes with oxygen concentration.Films of m d composition (e.g.

10.1051/jphyscol:19868164 article EN Le Journal de Physique Colloques 1986-12-01

The correct model parameters play important role in fault characteristics analysis and protection design. It is a necessity to identify the based on external due problem of black-box. However, existing studies lack concerns nonlinear control system during transient, cannot transient converter. Therefore, inverter parameter identification method dynamic phase-locked loop (PLL) proposed this paper. revealed that influence process PLL model. Considering PLL, current established. A structural...

10.1049/icp.2023.2312 article EN IET conference proceedings. 2023-10-16

The current fault section positioning method in distribution networks faces challenges accurately locating segments when a large area of measurement data is missing or distorted at terminals. Therefore, for high-fault-tolerant based on multi-source information fusion and verification proposed. Firstly, the electrical characteristics are used to divide Feeder Terminal Units (FTU) Transformer (Transformer Units). TTU) reliability level electricity meter station area, so as reduce dimension...

10.1109/ceect59667.2023.10420745 article EN 2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT) 2023-12-15

Background: As a new approach to control COVID-19, we have conceptualised tech-powered model that pre-empts further infection by comprehensively identifying the infection's sources and traces. This aims quickly cap epidemic's curve instead of traditional flattening. We documented empirical evidence for this conceptualization.Methods: Data regarding daily incidences fatalities from outbreak 12 August 2020 were collected nine countries had reported their before 01 February 2020. Each country's...

10.2139/ssrn.3702939 article EN SSRN Electronic Journal 2020-01-01
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