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Direct driven wind energy conversion system based on hybrid excitation synchronous machine

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Journal of Shanghai University(English Edition) 2011年第6期15卷 562-567页

作者：叶斌英阮毅杨勇赵海花汤燕燕 School of Mechatronics Engineering and Automation Shanghai University School of Urban Railway Transportation Soochow University

A novel direct-drive type wind power generation system based on hybrid excitation synchronous machine（HESM）is introduced in this *** generator is connected to an uncontrollable rectifier,and a fully controlled voltage-sourceinverter is used to connect the system to utility *** intermediate DC bus exists between the rectifier and inverter.A new control strategy is proposed which achieves the maximum power point tracking（MPPT） with the control of excitation current of HESM and stabilizes the DC link voltage with the control of inverter output current ***-designed buck circuit is used to control the excitation current of HESM,and grid voltage-oriented vector control strategy is employed to realize the decoupling of the inverter output *** results and experiment in 3 kW lab prototype show an excellent static and dynamic performance of the proposed system.

关键词： maximum power point tracking(MPPT) wind energy conversion system direct-driven hybrid excitation

Hybrid Control Strategy for Matrix Converter Fed wind energy conversion system

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Circuits and systems 2016年第10期7卷 3038-3053页

作者： Jamna Ayadathil Jamuna Venkatesan Department of Electrical and Electronics Engineering Misrimal Navajee Munoth Jain Engineering College (Affiliated to Anna University) Chennai India Department of Electrical and Electronics Engineering Jerusalem College of Engineering (Affiliated to Anna University) Chennai India

In this paper, a hybrid control strategy for a matrix converter fed wind energy conversion system is presented. Since the wind speed may vary, output parameters like power, frequency and voltage may fluctuate. Hence it is necessary to design a system that regulates output parameters, such as voltage and frequency, and thereby provides a constant voltage and frequency output from the wind energy conversion system. Matrix converter is used in the proposed solution as the main power conditioner as a more efficient alternative when compared to traditional back-back converter structure. To control the output voltage, a vector modulation based refined control structure is used. A power tracker is included to maximize the mechanical output power of the turbine. Over current protection and clamp circuit input protection have been introduced to protect the system from over current. It reduces the spikes generated at the output of the converter. The designed system is capable of supplying an output voltage of constant frequency and amplitude within the expected ranges of input during the operation. The matrix converter control using direct modulation method, modified Venturini modulation method and vector modulation method was simulated, the results were compared and it was inferred that vector modulation method was superior to the other two methods. With the proposed technique, voltage transfer ratio and harmonic profile have been improved compared to the other two modulation techniques. The behaviour of the system is corroborated by MATLAB Simulink, and hardware is realized using an FPGA controller. Experimental results are found to be matching with the simulation results.

关键词： Hybrid Control Strategy wind energy conversion system Three Phase Matrix Converter Space Vector Modulation Over Current/Clamp Circuit Protection FPGA Controller

A Model-compensation ADRC strategy of wind energy conversion system with Direct-Driven PMSG

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A Model-compensation ADRC strategy of Wind Energy Conversion...

第37届中国控制会议

作者： Mengying Cao Shengquan Li Juan Li Yuanwang Wu Hongbing Sun School of Hydraulic Energy and Power Engineering Yangzhou University Key Laboratory of Measurement and Control of Complex systems of Engineering Ministry of Education Southeast University

This paper proposed two strategies based on the active disturbance synchronous controller（ADRC） designed for the WECS based on the direct-driven PMSG, which maximize the power output by tacking the optimal tip-speed ratio in real time. Since the direct-driven PMSG is a nonlinear system with a large amount of uncertainties and rapid dynamic variations, it is difficult to execute the model-based control designs. Considering these characteristics of the system, a basic ADRC strategy is proposed, which has a good performance without a detailed mathematical model of the system. Furthermore, considering the large changes in system dynamics and disturbances may substantially degrade the performance of WECS, a model-compensation ADRC strategy is presented, which incorporate the available model information into an extended state observer（ESO） to compensate the lumped disturbance efficiently. Simulation results show that, compared with the traditional ADRC strategy, the proposed ADRC has a stronger robustness against uncertain dynamics and external disturbances.

关键词： wind energy conversion system Permanent magnet synchronous generator Maximum power tracking Active disturbance rejection controller Model-compensation

Intelligent Inverse Control to Maximum Power Point Tracking Control Strategy of wind energy conversion system

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Intelligent Inverse Control to Maximum Power Point Tracking ...

2011 Chinese Control and Decision Conference（CCDC）

作者： Tai Li,Z.C Ji (Institute of Electrical Automation,Jiangnan University,214122,Wuxi,China)

When the wind speed is below the rated value,the rbf neural network inverse controller is designed to achieve maximum power point tracking （MPPT） for wind energy conversion system,the simulation model is built based on the Matlab /*** results show that power coefficient and tip speed ratio has high accuracy of tracking the optimal power value,what’s more,the neural network inverse control method is compared with conventional pi control,and the wind energy conversion system has better dynamic with the ann’s controller than that with pi’s.

关键词： Maximum Power Point Tracking Neural Network Inverse Control wind energy conversion system

Robust Optimal Framework for Doubly Fed Induction Generator with Uncertain Dynamics

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Protection and Control of Modern Power systems 2024年第5期9卷 129-141页

作者： Yongfeng Lü Xiaowei Zhao Priyank Shah College of Electrical and Power Engineering Taiyuan University of TechnologyTaiyuan 030024China Intelligent Control and Smart energy(ICSE)Research Group School of EngineeringThe University of WarwickCoventry CV47ALUK

A robust optimal framework is designed herein to mitigate the oscillatory dynamics in a doubly fed induction generator(DFIG)even in the presence of network disturbances and input *** address uncertain dynamics,herein,a novel transformation formula is developed for a wind energy conversion *** unscented Kalman filter is applied to estimate the un-measured internal states of the wind energy conversion system using terminal *** detailed convergence and stability analyses of the presented framework are investigated to validate its ***,comparative modal analyses are carried out to demonstrate the improvement in the damping of critical low-frequency oscillatory modes using the presented *** simulation results demonstrate satisfactory performance under various operating scenarios,such as increasing and decreasing wind speed and varying the terminal *** comparative performance is demonstrated to validate the effectiveness of the presented framework over that of the state-of-the-art *** Terms—Optimal control,power system,renew-able energy sources,wind energy conversion system,doubly fed induction generator.

关键词： Optimal control power system renew-able energy sources wind energy conversion system doubly fed induction generator

Stochastic Distribution Control for the Permanent Magnet Synchronous Generator based Variable Speed wind energy conversion systems 25th

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Stochastic Distribution Control for the Permanent Magnet Syn...

第25届中国控制与决策会议

作者： Jianhua Zhang Ye Tian Mifeng Ren Jinfang Zhang Guolian Hou School of Control and Computer Engineering North China Electric Power University

ISBN: (纸本)9781467355339

In this paper, the nonlinear dynamic model of the wind energy conversion system （WECS） is established. Due to the non-Gaussian randomness in the WECS introduced by the wind speed, stochastic distribution controller is designed for both maximum power point tracking （MPPT） and attenuation of disturbance. Compared with conventional PI controller, the effectiveness of the proposed approach is verified by some experimental results.

关键词： wind energy conversion system Probability Density Function Entropy Stochastic Control

wind energy conversion systems using Fuzzy Sliding Mode Control

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Wind Energy Conversion Systems using Fuzzy Sliding Mode Cont...

2011 Chinese Control and Decision Conference（CCDC）

作者： Qi Chen,LiangHai Chen,LinGao Wang 1.Faculty of Electronic and Electrical Engineering,Huaiyin Institute of Technology,Jiangsu,Huai''an,P.R.China,223003

The paper describes a manner in which the energy-reliability optimization of wind energy conversion system’s operation can be achieved by means of the fuzzy sliding mode *** appropriate sliding surface has been found in the speed-power plane,which allows the operation more or less close to the optimal regimes *** is more,by torque controlling the generator,an energy-reliability optimization of the wind turbine behavior is *** simulation results demonstrate that the proposed control method can not only maximize the wind energy capture ratio below the rated wind speed but can also make the system operate smoothly.

关键词： wind energy conversion system Fuzzy sliding mode control speed-power

A Novel Hybrid MPPT for wind energy conversion systems Operating under Low Variations in wind Speed

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energy and Power Engineering 2020年第12期12卷 716-728页

作者： Paul Abena Malobe Philippe Djondine Pascal Ntsama Eloundou Hervé Abena Ndongo Department of Physics Faculty of Science The University of Ngaoundéré Ngaoundéré Cameroon Department of Physics Higher Teacher Training College of Bertoua The University of Ngaoundéré Bertoua Cameroon

This manuscript presents a new approach MPPT (Maximum Power Point Tracking) for improving and optimizing the performance of a wind energy conversion system (WECS) operating for small variations in wind speed by combining sliding mode control and fuzzy logic control. The proposed method consists of optimizing the sliding mode controller by the fuzzy controller. The main purpose of the Sliding Mode control-Fuzzy Logic controller (SM-FL) is to ensure the robustness (by eliminating certain disadvantages of the sliding mode control such as the phenomenon of chattering) and the stability of the control system in the case of small variations in conditions atmospheric (here variation of the wind). Our system consists of a wind turbine, a Permanent Magnet Synchronous Generator (PMSG) and a DC-DC boost converter connected to a continuous load. The performances of the method suggested are compared with those of fuzzy logic and fuzzy-Proportional Integral (FL-PI) in term speed of convergence, of tracking time and tracking efficiency. The results of numerical simulation of our system confirmed the best performance of this method.

关键词： MPPT Sliding Mode-Fuzzy Logic Controller wind energy conversion system Chattering

Optimal operation of microgrid using hybrid differential evolution and harmony search algorithm

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Frontiers in energy 2016年第3期10卷 355-362页

作者： S. SURENDER REDDY Jae Young PARK Chan Mook JUNG Department of Railroad and Electrical Engineering Woosong University Republic of Korea Department of Railroad and Civil Engineering Woosong UniversityRepublic of Korea

This paper proposes the generation scheduling approach for a microgrid comprised of conventional generators, wind energy generators, solar photovoltaie （PV） systems, battery storage, and electric vehicles. The electrical vehicles （EVs） play two different roles： as load demands during charging, and as storage units to supply energy to remaining load demands in the MG when they are plugged into the microgrid （MG）. wind and solar PV powers are intermittent in nature; hence by including the battery storage and EVs, the MG becomes more stable. Here, the total cost objective is minimized considering the cost of conventional generators, wind generators, solar PV systems and EVs. The proposed optimal scheduling problem is solved using the hybrid differential evolution and harmony search （hybrid DE-HS） algorithm including the wind energy generators and solar PV system along with the battery storage and EVs. Moreover, it requires the least investment.

关键词： battery storage electric vehicles (EVs),microgrid (MG) optimal scheduling solar photovoltaic(PV) system wind energy conversion system