Chengzhen Jia

ORCID: 0000-0001-7526-2492
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About
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Research Areas
  • Wind Turbine Control Systems
  • Energy Load and Power Forecasting
  • Wind Energy Research and Development
  • Frequency Control in Power Systems
  • Iron and Steelmaking Processes
  • Advanced Optical Sensing Technologies
  • Remote Sensing and LiDAR Applications
  • Magnetic Bearings and Levitation Dynamics
  • Marine and Coastal Research
  • Grey System Theory Applications
  • Microgrid Control and Optimization
  • Advanced Algorithms and Applications
  • Ship Hydrodynamics and Maneuverability
  • Maritime Navigation and Safety

Tsinghua University
2023

Shanxi University
2020-2021

At present, most of the pitch control methods are based on PI controller, system has poor disturbance resistance, and research variable parameter feedforward Light detection ranging (LIDAR) Linear Active Disturbance Rejection controller (LADRC) composite is rarely studied to reduce blade root load, so this paper conceives a hybrid intelligent adaptive approach wind turbine generator speed fluctuation its load. Specifically, we combine Radial Basis Neural Network Finite Impulse Response...

10.1016/j.renene.2021.01.065 article EN cc-by-nc-nd Renewable Energy 2021-01-18

During the coal-fired circulating fluidized bed unit participation in peak regulation process of power grid, thermal automatic control system assists operator to adjust mode focusing on pollutant and ignoring economy so that unit’s operating performance maintains a huge potential for deep mining. The high-dimensional coupling-related data characteristics boilers put forward more refined demanding requirements combustion optimization analysis open-loop guidance operation. Therefore, this...

10.3390/en16155674 article EN cc-by Energies 2023-07-28

With the real-time changes of wind speed and operating conditions, it is a challenge to fully tap active power regulation ability improve control performance automatic generation (AGC) in farm (WF). The essence tapping realise coordination complementarity each turbine's (WT's) dynamic adjustment (DAP). To address this, novel data mining method developed derive internal relations between WTs' output pitch angle, impeller angle during process, unified mechanism model established describe DAP...

10.1049/iet-gtd.2020.1141 article EN IET Generation Transmission & Distribution 2020-12-01

Extreme wind gust will cause turbines to overspeed and thus exceed the load limit, which reduces life of turbine also leads drastic fluctuations in output power, affecting power quality grid. because rotation blades affects evolution process speed, resulting gusts that make it difficult measure actual speed at rotor plane. Using LiDAR can advance, combined with traditional pitch control design feed-forward controller. then analyze evolution, get plane time series accordingly controller...

10.1109/peas58692.2023.10395137 article EN 2023-11-10

The traditional reference bias control (RBC) algorithm has the problem that rotor speed cannot be effectively controlled in case of sudden increase aerodynamic power, for which is caused by delay signal. In this paper, wind obtained LiDAR, and accurate pitch angle command using inverse system method, used feedforward large changes speed, generator well suppressed. Compared with RBC algorithm, method accelerates switching torque control, then improves dynamic characteristics transition region.

10.1109/peas58692.2023.10395638 article EN 2023-11-10

This paper analyzes the inertia response characteristics of Permanent Magnet Synchronous Generator (PMSG) based wind energy conversion system (WECS) with Virtual (VSG) control. It is found that WECS would be influenced by dynamic interaction VSG control loop and Maximum Power Point Tracking (MPPT) which widely applied in turbine to achieve maximum power under different speeds. The affects releasing accumulating rotor kinetic then may deteriorate WECS. Different MPPT structures can result...

10.1109/peas58692.2023.10395682 article EN 2023-11-10
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