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Your search keyword '"Shen, Yang-Wu"' showing total 13 results
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13 results on '"Shen, Yang-Wu"'

1. Electromagnetic Transient Model and Parameters Identification of PMSG-Based Wind Farm

Author

Shen Yang-Wu, Zhang Jian, Cui Ting, Mao Xun, Chen Yuan-Yang, Wang Ding, Zuo Jian, and Pi Ao

Subjects
State variable, Computer science, 020209 energy, 020208 electrical & electronic engineering, Phasor, Initialization, Rotor speed, 02 engineering and technology, Turbine, Steam turbine, Control theory, 0202 electrical engineering, electronic engineering, information engineering, Torque, Steady state equivalent circuit
Abstract

In order to study the equivalent electromagnetic transient characteristics of PMSG-based wind farm, the structure, control strategy and coordinates transformation method of PMSG-based wind turbine generator are analyzed in this paper. To this end, a detailed electromagnetic transient model of PMSG-based wind turbine generator is established. The steady state equivalent circuit, phasor graph and initializing method of state variable are developed. Then, the process of parameters identification using genetic algorithm is introduced. Since in the transient process, the change of rotor speed is very small, and the input mechanical torque of the wind turbine can be approximately considered constant. Therefore, the parameters of the mechanical torque need not to be identified, which greatly reduces the number of parameters involved in the identification and improves the convergence speed of the algorithm and the stability of the identification results. Finally, a simulation example is given to illustrate the effectiveness of the proposed electromagnetic transient model and the parameters identification method.

Published
2019

2. Load Frequency Control Strategy for Wind Power Grid-connected Power Systems Considering Wind Power Forecast

Author

Shen Yang-Wu, Wang Yang-Guang, Wang Ding, Mao Xun, Pi Ao, Zuo Jian, and Cui Ting

Subjects
Wind power, business.industry, Computer science, 020209 energy, 020208 electrical & electronic engineering, Automatic frequency control, PID controller, 02 engineering and technology, Kalman filter, Grid, Electric power system, Control theory, 0202 electrical engineering, electronic engineering, information engineering, Kalman filter algorithm, MATLAB, business, computer, Physics::Atmospheric and Oceanic Physics, computer.programming_language
Abstract

Due to the strong random of wind power, the much higher request is put forward for the power system load frequency control. Taking the interconnected power grid with wind power as the research object, the load frequency control strategy based on the wind power prediction by Kalman filter is proposed to reduce the influence in the system frequency caused by wind power. The Kalman filter algorithm is used to predict the wind power at first. Then, the forecasted wind power is employed for the load frequency controller design. Furthermore, the load frequency control model interconnected power system is established. This control scheme is applied to a four-area power system considering three areas integrated wind power. The simulation results which are carried on MATLAB/Simulink, show that the proposed load frequency control strategy based on Kalman filter wind power prediction can effectively reduce the frequency fluctuation and keep the system frequency fluctuation in a small range. Simulation results also show its outperformances when compared with the conventional PID based load frequency control.

Published
2019

5. Finite Control Set Model Predictive Control for Complex Energy System with Large-Scale Wind Power

Author

Shen, Yang Wu, Yuan, Jin Rong, Shen, Fei Fan, Xu, Jia Zhu, Li, Chen Kun, Wang, Ding, Shen, Yang Wu, Yuan, Jin Rong, Shen, Fei Fan, Xu, Jia Zhu, Li, Chen Kun, and Wang, Ding

Abstract

Complex energy systems can effectively integrate renewable energy sources such as wind and solar power into the information network and coordinate the operation of renewable energy sources to ensure its reliability. In the voltage source converter-based high voltage direct current system, the traditional vector control strategy faces some challenges, such as difficulty in PI parameters tuning and multiobjective optimizations. To overcome these issues, a finite control set model predictive control-based advanced control strategy is proposed. Based on the discrete mathematical model of the grid-side voltage source converter, the proposed strategy optimizes a value function with errors of current magnitudes to predict switching status of the grid-side converter. Moreover, the abilities of the system in resisting disturbances and fault recovery are enhanced by compensating delay and introducing weight coefficients. The complex energy system in which the wind power is delivered by the voltage source converter-based high voltage direct current system is modeled by Simulink and simulation results show that the proposed strategy is superior to the tradition PI control strategy under various situations, such as wind power fluctuation and fault occurrences.

Published
2019

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