A5101909119- Advanced Algorithms and Applications
- Power Systems and Renewable Energy
- Microgrid Control and Optimization
- Advanced Sensor and Control Systems
- Industrial Technology and Control Systems
- Photovoltaic System Optimization Techniques
- Wind Turbine Control Systems
- Advanced Battery Technologies Research
- Solar Radiation and Photovoltaics
- Smart Grid Security and Resilience
- Smart Grid Energy Management
- solar cell performance optimization
- Machine Learning and ELM
- Adaptive Control of Nonlinear Systems
- Metaheuristic Optimization Algorithms Research
- Fault Detection and Control Systems
- Smart Grid and Power Systems
- Sensorless Control of Electric Motors
- High-Voltage Power Transmission Systems
- Network Security and Intrusion Detection
- Power Systems and Technologies
- Electric and Hybrid Vehicle Technologies
- Software-Defined Networks and 5G
- Stability and Control of Uncertain Systems
- Frequency Control in Power Systems
Yanshan University
2015-2025
Bridge University
2022
Wuhan Institute of Technology
2017
Southeast University
2012
Tân Tạo University
2006
Chongqing Municipal Government
2004-2005
Heilongjiang Academy of Land Reclamation Sciences
2005
Feminist Archive North
2002-2003
China University of Mining and Technology
2002
Zhaotong University
2002
With increasing wind power in systems, impact of subsynchronous resonance (SSR) on generator is interest. This study presents the models a double-fed induction (DFIG)-based turbine series-compensated network for SSR study. For DFIG (induction machine), effect (IGE) most important factor SSR. The control scheme IGE proposed this and parameters also studied detail. Eigenvalue analysis conducted to speeds, series compensation levels phenomena. Time-domain simulations are performed...
Summary The chicken swarm optimization algorithm is a new biology algorithm, but its high‐dimensional operation usually causes deviation and the iteration time of optimizing little long. An improved proposed. In initial positions are arranged according to chaotic sequence; therefore, uniformity ergodicity population enhanced. Adaptive inertia weight introduced update rule hens; thus, speed global search ability local following coefficient chicks changed into random quantity, so risk falling...
This paper proposes an SOC estimation method for lithium battery, which combines the online parameter identification and improved particle filter algorithm. Targeted at degradation issue in filtering, grey wolf optimization is introduced to optimize distribution. Its strong global ability ensures diversity, effectively suppresses degradation, improves filtering accuracy. The recursive least square with forgetting factor also update model parameters a real-time manner, further accuracy of...
In this paper, a parameter identification method of photovoltaic cell model based on improved lion swarm optimization is presented. Lion novel intelligent algorithm proposed in recent years, but it has problems such as local optimum and slow convergence. To overcome limitations, we can combine the tent chaotic map, adaptive search strategy to further improve ability avoid trapping optimum. The simulation standard test function shows that performance superior other six algorithms. Then...
In this paper, we present a new method for state of charge (SOC) estimation, which was based on neural network and the master-slave adaptive unscented Kalman filter algorithm. First, second-order Thevenin model batteries established. order to improve fitting accuracy between open circuit voltage SOC battery, used fit nonlinear relationship, instead frequently polynomial model. To solve problems that noise variance is fixed estimation not high in traditional extended methods, master...
The state of charge (SOC) lithium batteries is an important parameter battery management systems. We aim at the problem that noise variance fixed during estimation by unscented Kalman filter (UKF), which leads to low accuracy. Lithium SOC based on UKF and whale optimization algorithm (WOA) proposed. first WOA used identify parameters model. WOA–UKF estimate battery, in observed process are updated through second WOA, thereby accuracy improved. experimental results verify effectiveness...
By identifying the parameters of electronic circuit, parametric fault diagnosis power circuits can be realized. Many intelligent optimization algorithms are used to identify but most them have defects slow convergence rate and easy fall into local minimum. Moth flame algorithm is a novel swarm intelligence bionic based on behavior moth positioning, which also has above drawbacks. In order improve performance algorithm, when updating position, firstly moves in straight line optimal then Levy...