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Featured researches published by Zhiling Liao.


computer science and information engineering | 2011

Improved Particle Swarm Optimization Algorithm Based on Periodic Evolution Strategy

Congli Mei; Jing Zhang; Zhiling Liao; Guohai Liu

This paper proposed a novel improved PSO algorithm based on an periodic evolution strategy (PSO-PES). From experiments, we observe that the novel search strategy enables the improved PSO to make use of swarm’s information on velocity more effectively to generate better quality solutions iteratively when compared to exiting PSO variants. And PSO-PES significantly improves the PSO’s performance and gives the better performance than original PSO. Another attractive property of the improved PSO is that it does not introduce any complex operations to the original simple PSO framework. The only difference from the standard PSO is the best solution will update by a periodic evolution strategy. PSO-PES is also simple and easy to implement like the original PSO.


Archive | 2014

Analysis of Power Loss in Transformerless Grid Connected PV Inverter

Zhiling Liao; Zhongqi Song; Dong Xu; Congli Mei; Guohai Liu

Efficiency is becoming increasingly important in grid connected photovoltaic inverter design. Transformer in grid connected inverter system is removed to improve the efficiency of the system. Traditional power loss calculation methods often neglected ripple current effects. However, photovoltaic inverters seldom operate at the maximum rated power due to variation of irradiation. Therefore, the ripple current effects on component power loss on the light load condition should not be neglected. The chapter analyzes the working principle of a transformerless grid connected inverter in detail, and establishes a mathematical model of component power loss which includes ripple current effects. An experimental prototype is made and experiment results verify the correctness of the theoretical analysis.


Electrical Measurement & Instrumentation | 2014

Control Strategy of Grid-Connected Inverter Suppressing Grid-Voltage Background Harmonics Based on the Improved Passive Damping Method

Zhiling Liao; Dong Xu; Shengdong Wang; Congli Mei; Guohai Liu

The traditional LCL-filter third-order system grid-connected inverter may cause the resonance phenomenon without damping. Also, it will be affected by the distorted grid-voltage background harmonics. In order to overcome the problem, a new control strategy is proposed. The chapter analyzes the current waveform performance of grid-connected inverter in the condition of grid-voltage background harmonics, which derive the feed-forward function for grid-connected inverter. The disadvantages of passive damping could be well solved by damping resistor virtualization of the original system, which realizes the active damping suppression of resonance. Simulation results based on the Heric single-phase transformerless grid-connected inverter verify the correctness of the theoretical analysis.


Archive | 2012

Isolated rapid turn-off metal oxide field effect transistor (MOFET) driving circuit

Zhiling Liao; Weidong Shi; Congli Mei; Zhongqi Song; Guohai Liu


Archive | 2012

Teaching experiment platform of multifunctional photovoltaic power generation system

Zhiling Liao; Congli Mei; Dong Xu; Zhaoyin Yang


Archive | 2012

Transformer winding vibration on-line monitoring and fault diagnosis method

Xiaosong Ye; Guohai Liu; Zhenfei Wu; Zhiling Liao; Ming Xing; Congli Mei


Archive | 2012

Online capacitor monitoring system based on partial discharge monitoring

Xiaosong Ye; Guohai Liu; Zhenfei Wu; Zhiling Liao; Ming Xing; Congli Mei


Archive | 2012

Teaching experiment platform of multifunctional wind and photovoltaic complementary power generation system

Zhiling Liao; Congli Mei; Dong Xu; Zhaoyin Yang


Chinese Journal of Chemical Engineering | 2017

Dynamic soft sensor development based on Gaussian mixture regression for fermentation processes

Congli Mei; Yong Su; Guohai Liu; Yuhan Ding; Zhiling Liao


Archive | 2012

Neural network inverse-based soft sensing method for compensation capacity and medium loss of capacitor and on-line monitoring

Xiaosong Ye; Guohai Liu; Zhenfei Wu; Zhiling Liao; Ming Xing; Congli Mei

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