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Copyright of Petroleum Refinery Engineering is the property of Petroleum Refinery Engineering Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The frequency regulation capability of wind turbines is insufficient to satisfy the needs of grid frequency regulation. The characteristics of energy storage， such as flexible control， substantial throughput capacity， and rapid response rates， can effectively complement wind turbine limitations. Thereby， these facets advocate for incorporating an integrated wind-and-storage system in the practice of grid frequency control. This paper delves into the principles and control strategies associated with the participation of wind turbines and energy storage in the regulation of power system frequency. It outlines the principles and features of energy storage participating in frequency regulation， as well as models for frequency control and the control strategies. Moreover， the paper scrutinizes the characteristics and effects of different and hybrid energy storage systems. Subsequently， it elucidates the principles of frequency control for wind turbines and various control strategies， classifying the control modes of wind turbines into： variable-pitch control， rotor kinetic energy control， and unified control. In conclusion， the current state of advancements and prospects in this field are summarized and envisioned.

In high-penetration wind power generation systems， accurately assessing the support potential for virtual inertia of energy storage and fully releasing its energy reserves to render the systems active in grid frequency regulation are crucial for ensuring the systems’ frequency safety and stability. To achieve this， a dynamic frequency response model for wind-storage power generation systems to calculate the system’s time of safe frequency rise and fall and the extreme values of frequency deviation. Next， considering the constraints on the safe operating condition of the state of charge （SOC） during energy storage， the virtual inertia of energy storage during the time of safe frequency rise and fall is quantitatively evaluated. Moreover， an active frequency support technology for energy storage based on fixed-frequency control is introduced， aiming to fully exploit the frequency support capability of energy storage during the frequency drop and recovery periods. Finally， a simulation model of high-penetration wind power generation systems is constructed for validation. Under the proposed control strategy， energy storage can provide effective inertia support and offer sustained frequency response， thereby significantly enhancing the systems’ frequency stability.

Copyright of Zhejiang Electric Power is the property of Zhejiang Electric Power Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Engineering for Thermal Energy & Power / Reneng Dongli Gongcheng is the property of Journal of Engineering for Thermal Energy & Power and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In order to improve the anti-interference ability and control accuracy of wind power brake, the improved active disturbance rejection control and Kalman filter algorithm are proposed based on the traditional three-closed-loop system. The traditional "large bandwidth, small error" is improved to "small bandwidth, small error" by introducing the speed tracking condition in the extended state observer to improve the observation efficiency of the observer. A new exponential reaching law sliding mode control is introduced into the error feedback control rate to enhance the control effect. The Kalman filter algorithm is introduced into the current loop to reduce the current noise. The mathematical model of the electric braking system is established by MATLAB/Simulink, and compared with the traditional active disturbance rejection control strategy and PID control strategy. The results showed that the improved control strategy can improve the response speed and reduce the starting torque and current noise. The brake showed good control effect and anti-interference ability under different operating conditions, which enhanced the system's stability and dynamic performance. [ABSTRACT FROM AUTHOR]

Copyright of Power Generation Technology is the property of Power Generation Technology Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Computer Measurement & Control is the property of Magazine Agency of Computer Measurement & Control and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Wind power generation is different from traditional power generation in which wind power output is highly stochastic and spatio-temporally dependent. In the optimal scheduling problem of wind power grid-connected power system, ensuring the optimal execution of power scheduling in different wind power scenarios is the key of the decision-making problem. Therefore, high quality wind power scenario generation is of great importance. The spatiotemporal correlation of the output power of wind power plants are characterized based on Gaussian stochastic process and spatiotemporal covariance function, and the joint probability distribution is established by the Pair Copula model, and specific scenarios are implemented by the method of empirical probability inverse transformation. A variety of scene metrics of the generated scene are generated, which verifies the superiority of the generated scene. Finally, based on the modified IEEE 6-bus system, a mixed integer programming model for the unit output of the power system is established to solve the problems in different scenarios and verify the economic advantages of the scenario generation method in the dispatching problem of wind power grid connection.

Copyright of Journal of Shanghai Jiao Tong University (1006-2467) is the property of Journal of Shanghai Jiao Tong University Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Experimental Technology & Management is the property of Experimental Technology & Management Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Electric Machines & Control / Dianji Yu Kongzhi Xuebao is the property of Electric Machines & Control and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Taking small and medium-sized switched reluctance wind turbines as the research object, aiming at the requirements of the rapidity and accuracy of the maximum power point tracking control under different wind speed conditions during the generation process, a maximum power point tracking control strategy based on adaptive weighted grey Wolf optimization PID algorithm was proposed. When the external wind speed changes, the optimal speed of the wind turbine is calculated according to the real-time wind speed. The difference between the actual speed and the weighted adaptive gray wolf PID control algorithm is used as the input of the closed-loop PID control parameter of the speed, so as to output the optimal duty ratio of the voltage pulse width modulation and realize the maximum power point tracking control under the variable wind speed. The simulation results show that compared with the traditional PID control, the adaptive weighted grey wolf optimization PID algorithm can quickly and accurately achieve the maximum power point tracking control under the condition of wind speed change. [ABSTRACT FROM AUTHOR]

Copyright of Machine Tool & Hydraulics is the property of Guangzhou Mechanical Engineering Research Institute (GMERI) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Large Electric Machine & Hydraulic Turbine is the property of Large Electric Machine & Hydraulic Turbine Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Engineering for Thermal Energy & Power / Reneng Dongli Gongcheng is the property of Journal of Engineering for Thermal Energy & Power and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Clean Coal Technology is the property of Clean Coal Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In response to the problem of reduced system inertia and insufficient frequency regulation capacity due to large-scale wind power connection to the grid, an integrated control strategy scheme for wind turbine inertia support and primary frequency regulation is proposed. In this scheme, the load reduction control of wind turbine is adjusted based on the characteristics of wind turbine slurry distance angle, and the reserve capacity required for wind turbine frequency modulation is reserved, which further solves the combination problem between the frequency change of the power grid and the virtual moment of inertia in the load reduction mode. In addition, the wind turbine speed protection is considered to set the static adjustment coefficient, and combined with the inertia support control, to achieve the wind turbine integrated frequency control strategy. The co-simulation model including wind farm is built in MATLAB/Simulink platform. The results show that the wind turbine can quickly provide virtual rotational inertia support to the grid, reduce the rate of change of the initial grid frequency perturbation, and regulate the output power according to the adjusted static regulation differential coefficients to improve the frequency stability of the wind power connected to the grid, which verifies the rationality of the proposed control strategy. [ABSTRACT FROM AUTHOR]

At present, the installed capacity of new energy power generation equipment shows a trend of rapid growth. A higher proportion of new energy generation will make the power grid show the characteristics of high impedance, low inertia, weak damping and low short circuit ratio. However, traditional double-fed wind power converter usually adopts current source control mode, which is difficult to adapt to the increasingly harsh operating environment of power grid. Therefore, this paper studies a voltage source control mode of double-fed wind power converter, compares its performance with current source converter control mode, and proposes a switching method between voltage source converter control mode and current source converter control mode in the case of high voltage ride-through and low voltage ride-through. Through real-time network voltage monitoring, the converter control modes of voltage source and current source can be smoothly switched. Simulation results show that the proposed control scheme has good steady-state and dynamic performance, and can adapt to the requirements of new energy grid-connection.

Copyright of Electric Power Automation Equipment / Dianli Zidonghua Shebei is the property of Electric Power Automation Equipment Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Machine Tool & Hydraulics is the property of Guangzhou Mechanical Engineering Research Institute (GMERI) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The participation of wind power in grid frequency support is pivotal to maintaining the safe and stable operation of the grid. MATLAB， as common simulation software， can only build small-scale power system models containing wind power， and the simulation speed is low. To carry out wind power frequency support control research in MATLAB and improve the research efficiency， a fast simulation model based on the simplified model of wind turbine and grid frequency response model is constructed. Then， a method is proposed to obtain the SFR （system frequency response） model excluding the wind power frequency support. Finally， the validity and efficiency of the fast simulation model are verified by the example. The results show that the frequency response of the constructed fast simulation model is consistent with the complete power system model， and the simulation speed of the wind farm can be increased by more than 130 times when a single unit equivalent is used， and by nearly 1，100 times when all units of the wind farm are retained， which significantly improves the efficiency of wind power participation in grid frequency support research under MATLAB software.

Copyright of Electric Drive is the property of Electric Drive Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Electric Machines & Control / Dianji Yu Kongzhi Xuebao is the property of Electric Machines & Control and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The power control can not meet the control target due to the prediction error of wind power generation. Based on the difference of power prediction error and confidence interval between different new energy power stations, an optimal control strategy for active power of wind farms was proposed. The strategy used historical data to evaluate the prediction error distribution and confidence interval of wind power, and introduced confidence interval constraints to establish a wind power active optimization model to realize active power distribution, so as to realize the complementary prediction errors among wind farms with asymmetric error distribution. Combined with the actual data of a wind power based in a province in China, a simulation example was designed to verify the rationality and effectiveness of the proposed strategy. The results show that the proposed method can effectively improve the control performance of wind power active power, and the control deviation in the simulation example can be reduced by about 10%, which is helpful to reduce the risk of wind power active power control deficiency.

Copyright of Electric Drive is the property of Electric Drive Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of East China University of Science & Technology is the property of Journal of East China University of Science & Technology Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In view of the effect of the volatility and randomness of wind power on the dispatching of the power grid, a neural network-based wind power reserve capacity estimation model is proposed. In this model, the weights of each link layer in BP neural network are optimized by particle swarm optimization algorithm to improve the prediction of wind power value in the future. The Pearson correlation coefficient is used to extract the influence factors which are positively correlated with the prediction error, and then the multiple linear regression method is used to associate the extracted influencing factors to calculate the reserve capacity of wind power. The simulation results show that 80% of the prediction error is within the estimation range of the model, further verifying the effectiveness of the model. [ABSTRACT FROM AUTHOR]

The power control can not meet the control target due to the prediction error of wind power generation. Based on the difference of power prediction error and confidence interval between different new energy power stations, an optimal control strategy for active power of wind farms was proposed. The strategy used historical data to evaluate the prediction error distribution and confidence interval of wind power, and introduced confidence interval constraints to establish a wind power active optimization model to realize active power distribution, so as to realize the complementary prediction errors among wind farms with asymmetric error distribution. Combined with the actual data of a wind power based in a province in China, a simulation example was designed to verify the rationality and effectiveness of the proposed strategy. The results show that the proposed method can effectively improve the control performance of wind power active power, and the control deviation in the simulation example can be reduced by about 10%,which is helpful to reduce the risk of wind power active power control deficiency. [ABSTRACT FROM AUTHOR]

Copyright of Electric Machines & Control / Dianji Yu Kongzhi Xuebao is the property of Electric Machines & Control and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Electric Machines & Control / Dianji Yu Kongzhi Xuebao is the property of Electric Machines & Control and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Electric Power Automation Equipment / Dianli Zidonghua Shebei is the property of Electric Power Automation Equipment Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Wind energy is one of the mainstream types of renewable energy. At present, the majority of the traditional wind turbines could only make use of the near-earth wind energy. However, the high-altitude wind energy has a greater value and potential for its high stability and large storage of energy. The research of exploiting high-altitude wind energy is starting up in China while there are studies about the usage of high-altitude wind energy across the world and some are in the process of flight test. The research on the variation and development of the altitude wind energy system(AWES) is conducted which contains an analysis of crosswind mode, an introduction of typical AWES abroad in last decade, a discussion of critical points including tether, accuracy control, multifunctional ground station and comprehensive optimization as a foundation for future development and further research on this direction.

Copyright of Control Theory & Applications / Kongzhi Lilun Yu Yinyong is the property of Editorial Department of Control Theory & Applications and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Electric Power Automation Equipment / Dianli Zidonghua Shebei is the property of Electric Power Automation Equipment Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Natural Gas & Oil is the property of Editorial Department of Natural Gas & Oil and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Electric Machines & Control / Dianji Yu Kongzhi Xuebao is the property of Electric Machines & Control and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Experimental Technology & Management is the property of Experimental Technology & Management Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Experimental Technology & Management is the property of Experimental Technology & Management Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The following aspects were reviewed: the development status of wind and solar hybrid power generation, the research method on power system low frequency oscillation, the influence of power system small signal stability with integration of wind and solar hybrid power, as well as improving the control strategy of stability of wind and solar hybrid power generation. Therefore, the research direction of the future low frequency oscillation analysis and control could be obtained as follow: the study of the dynamic characteristics of wind turbine and the interaction of traditional power system dynamic characteristic; the influence of wind and solar hybrid system capacity and the corresponding energy storage system on the low frequency oscillation characteristics; the influence factors of wind and solar hybrid power generation system on the damping characteristics of the interconnected systems; the design and parameter optimization of the controller to improve the damping characteristics of the system with integration of wind and solar hybrid power generation. [ABSTRACT FROM AUTHOR]

In order to enable the static synchronous compensator (STATCOM) to perform its maximum function quickly, effectively and safely during an asymmetrical fault, a positive and negative sequence network decoupling space vector (SVPWM) control strategy is proposed in this paper. On the one hand, the control strategy can compensate the negative sequence current during the asymmetrical fault On the other hand, the decoupling can accurately compensate the reactive load. Meanwhile, the application of space vector pulse width modulation (SVPWM) also improves the utilization factor of DC side voltage. The simulation results indicate that the proposed control strategy not only reduces the fluctuation of the DC side voltage of the STATCOM, prevents the device from withdrawing from the network during the asymmetrical fault, but also compensates the negative sequence current and eliminates the fluctuation quantities in the energy transmission, strengthening STATCOM reactive compensation ability during the asymmetric fault, maintaining the stability of the voltage at the place of grid-connection of the wind power system. [ABSTRACT FROM AUTHOR]

Copyright of Piezoelectrics & Acoustooptics is the property of Piezoelectric & Acoustooptic and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The common fault types of wind turbines and wind farms and fault analysis theory are summed up, and in light of the dispersion of the wind turbines’ fault diagnosis system, the future development direction of wind turbines’ fault diagnosis technology was put forward. That is to integrate monitoring and management system in which the existing single wind farms distribute sparsely and establish a unified complete real-time and history database through heterogeneous data collection, storage and management technology. Based on the complete management database of wind farms, on-line monitoring system for wind turbines’ key subsystem is developed, and then integrated and optimized. It is to achieve fault prediction of wind farm intelligent expert with self-learning ability based on data fusion method. [ABSTRACT FROM AUTHOR]

Copyright of Piezoelectrics & Acoustooptics is the property of Piezoelectric & Acoustooptic and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Harbin University of Science & Technology is the property of Journal of Harbin University of Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Aiming at the problem of unsatisfactory air flowed and high temperature of local part inside the wind turbine nacelle, the numerical simulation technique was investigated. After the analysis of heat source and flow characteristics, the simplified 3 dimensional model was established. And then, a method was presented to process the numerical simulation, which based on the computational fluid dynamic and thermodynamics. The cooling performance of different models was evaluated by CFD software. The result indicates that the original model has defective which causes poor cooling performance at high-temperature zone; the optimization model gives new flow distribution, it causes the increase of air flux and velocity at the core zone, the overall temperature of nacelle decreases as well. [ABSTRACT FROM AUTHOR]

Copyright of Electric Machines & Control / Dianji Yu Kongzhi Xuebao is the property of Electric Machines & Control and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Aiming at the problem that the original off-grid type wind power generation systems in some remote areas were in urgent need of expansion, a novel common DC bus cascade rectifier device was proposed, and the simultaneous parallel operation of two generators can be achieved based on the device. The topological structure of the novel cascade rectifier device, the commutation process of the generator's current, and the computing method of duty cycle were studied. The relationship between the speed of generator and the output average voltage of uncontrolled rectifying circuit was established. The operating states in series or in parallel of the two generators were analyzed and concluded in detail. Meanwhile, the switching method of state based on the hysteresis loop principle was proposed. In addition, the system was verified by simulation using Matlab. The results indicate that the device can change the working modes of the two generators according to the different speed of the generators, expand the speed adjustable range of generators and increase the capacity of system effectively, at the same time, the device allows that the duty cycle of power switching device operates in the reasonable range, avoids the occurrence of narrow pulse, decreases the high-order harmonics and improves the system performance. [ABSTRACT FROM AUTHOR]