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This paper introduces a new rotor design for the easy insertion and removal of rotor windings. The shape of the rotor is optimized based on a surrogate method in order to achieve low power loss under the maximum power output. The synchronous machine with the new rotor is evaluated in 2-D finite element software and validated by experiments. This rotor shows great potential for reducing the maintenance and repair costs of synchronous machines, making it particularly suited for low-cost mass production markets including gen-sets, steam turbines, wind power generators, and hybrid electric vehicles.
Tiejiang Yuan; Nan Yang; Wei Zhang; Wenping Cao; Ning Xing; Zheng Tan; Guofeng Li. Improved Synchronous Machine Rotor Design for the Easy Assembly of Excitation Coils Based on Surrogate Optimization. Energies 2018, 11, 1311 .
AMA StyleTiejiang Yuan, Nan Yang, Wei Zhang, Wenping Cao, Ning Xing, Zheng Tan, Guofeng Li. Improved Synchronous Machine Rotor Design for the Easy Assembly of Excitation Coils Based on Surrogate Optimization. Energies. 2018; 11 (5):1311.
Chicago/Turabian StyleTiejiang Yuan; Nan Yang; Wei Zhang; Wenping Cao; Ning Xing; Zheng Tan; Guofeng Li. 2018. "Improved Synchronous Machine Rotor Design for the Easy Assembly of Excitation Coils Based on Surrogate Optimization." Energies 11, no. 5: 1311.
This paper presents a doubly fed induction generator (DFIG) wind power system with hydrogen energy storage, with a focus on its virtual inertia adaptive control. Conventionally, a synchronous generator has a large inertia from its rotating rotor, and thus its kinetic energy can be used to damp out fluctuations from the grid. However, DFIGs do not provide such a mechanism as their rotor is disconnected with the power grid, owing to the use of back-to-back power converters between the two. In this paper, a hydrogen energy storage system is utilized to provide a virtual inertia so as to dampen the disturbances and support the grid’s stability. An analytical model is developed based on experimental data and test results show that: (1) the proposed method is effective in supporting the grid frequency; (2) the maximum power point tracking is achieved by implementing this proposed system; and, (3) the DFIG efficiency is improved. The developed system is technically viable and can be applied to medium and large wind power systems. The hydrogen energy storage is a clean and environmental-friendly technology, and can increase the renewable energy penetration in the power network.
Tiejiang Yuan; Jinjun Wang; Yuhang Guan; Zheng Liu; Xinfu Song; Yong Che; Wenping Cao. Virtual Inertia Adaptive Control of a Doubly Fed Induction Generator (DFIG) Wind Power System with Hydrogen Energy Storage. Energies 2018, 11, 904 .
AMA StyleTiejiang Yuan, Jinjun Wang, Yuhang Guan, Zheng Liu, Xinfu Song, Yong Che, Wenping Cao. Virtual Inertia Adaptive Control of a Doubly Fed Induction Generator (DFIG) Wind Power System with Hydrogen Energy Storage. Energies. 2018; 11 (4):904.
Chicago/Turabian StyleTiejiang Yuan; Jinjun Wang; Yuhang Guan; Zheng Liu; Xinfu Song; Yong Che; Wenping Cao. 2018. "Virtual Inertia Adaptive Control of a Doubly Fed Induction Generator (DFIG) Wind Power System with Hydrogen Energy Storage." Energies 11, no. 4: 904.
This paper introduces a new rotor design for the easy insertion and removal of the rotor windings. The shape of the rotor is optimized based on surrogate method in order to achieve the lowest power loss under the maximum power output. The performance of the new rotor is examined in 2-D finite element software and validated by experiments. This rotor shows good potentials for reducing the maintenance and repair costs of synchronous machines, making it suitable for manufacturers within the mass production markets such as gen-sets, steam turbines, wind power generators and hybrid electric vehicles.
Tiejiang Yuan; Nan Yang; Wenping Cao; Zheng Tan; Guofeng Li; Xueguan Song. New Synchronous Machine Rotor Design for Easy Insertion of Excitation Coils Based on Surrogate optimization. 2018, 1 .
AMA StyleTiejiang Yuan, Nan Yang, Wenping Cao, Zheng Tan, Guofeng Li, Xueguan Song. New Synchronous Machine Rotor Design for Easy Insertion of Excitation Coils Based on Surrogate optimization. . 2018; ():1.
Chicago/Turabian StyleTiejiang Yuan; Nan Yang; Wenping Cao; Zheng Tan; Guofeng Li; Xueguan Song. 2018. "New Synchronous Machine Rotor Design for Easy Insertion of Excitation Coils Based on Surrogate optimization." , no. : 1.
A modular switched-capacitor (SC) DC-DC converter (MSCC) is introduced in this paper. It is designed to boost a low input voltage to a high voltage level and can be applied for photovoltaics and electric vehicles. This topology has high extensibility for high voltage gain output. The merits of the converters also lie in the fault tolerance operation and the voltage regulation with a minimum change in the duty ratio. Those features are built in when designing the modules and then integrating these into the DC-DC converter. Converter performance including voltage gain, voltage and current stress are focused and tested. The converter is modelled analytically, and its control algorithm is analyzed in detailed. Both simulation and experiment are carried out to verify the topology under normal operation and fault mode operation.
Zhengzhao He; Tiejiang Yuan; Wenping Cao; Zhengyu Lin. High Step-up Modular Switched-Capacitor DC-DC Converter with Fault Tolerance Capability. 2018, 1 .
AMA StyleZhengzhao He, Tiejiang Yuan, Wenping Cao, Zhengyu Lin. High Step-up Modular Switched-Capacitor DC-DC Converter with Fault Tolerance Capability. . 2018; ():1.
Chicago/Turabian StyleZhengzhao He; Tiejiang Yuan; Wenping Cao; Zhengyu Lin. 2018. "High Step-up Modular Switched-Capacitor DC-DC Converter with Fault Tolerance Capability." , no. : 1.
This paper presents a wind-methanol-fuel cell system with hydrogen storage. It can manage various energy flow to provide stable wind power supply, produce constant methanol, and reduce CO2 emissions. Firstly, this study establishes the theoretical basis and formulation algorithms. And then, computational experiments are developed with MATLAB/Simulink (R2016a, MathWorks, Natick, MA, USA). Real data are used to fit the developed models in the study. From the test results, the developed system can generate maximum electricity whilst maintaining a stable production of methanol with the aid of a hybrid energy storage system (HESS). A sophisticated control scheme is also developed to coordinate these actions to achieve satisfactory system performance.
Tiejiang Yuan; Qingxi Duan; Xiangping Chen; Xufeng Yuan; Wenping Cao; Juan Hu; Quanmin Zhu. Coordinated Control of a Wind-Methanol-Fuel Cell System with Hydrogen Storage. Energies 2017, 10, 2053 .
AMA StyleTiejiang Yuan, Qingxi Duan, Xiangping Chen, Xufeng Yuan, Wenping Cao, Juan Hu, Quanmin Zhu. Coordinated Control of a Wind-Methanol-Fuel Cell System with Hydrogen Storage. Energies. 2017; 10 (12):2053.
Chicago/Turabian StyleTiejiang Yuan; Qingxi Duan; Xiangping Chen; Xufeng Yuan; Wenping Cao; Juan Hu; Quanmin Zhu. 2017. "Coordinated Control of a Wind-Methanol-Fuel Cell System with Hydrogen Storage." Energies 10, no. 12: 2053.
With the increasing penetration of renewable energy in power systems, fluctuation of renewable energy power plants has great influence on stability of the system, and renewable power curtailment is also becoming more and more serious due to the insufficient consumptive ability of local power grid. In order to maximize the utilization of renewable energy, this paper focuses on the generation scheduling optimization for a wind-solar-thermal hybrid system considering that the produced energy will be transmitted over a long distance to satisfy the demands of the receiving end system through ultra-high voltage (UHV) transmission lines. Accordingly, a bilevel optimization based on a non-cooperative game method is proposed to maximize the profit of power plants in the hybrid system. Users in the receiving end system are at the lower level of the bilevel programming, and power plants in the transmitting end system are at the upper level. Competitive behavior among power plants is formulated as a non-cooperative game and the profit of power plant is scheduled by adjusting generation and bidding strategies in both day-ahead markets and intraday markets. In addition, generation cost, wheeling cost, and carbon emissions are all considered in the non-cooperative game model. Moreover, a distributed algorithm is presented to obtain the generalized Nash equilibrium solution, which realizes the optimization in terms of maximizing profit. Finally, several simulations are implemented and analyzed to verify the effectiveness of the proposed optimization method.
Tiejiang Yuan; Tingting Ma; Yiqian Sun; Ning Chen; Bingtuan Gao. Game-Based Generation Scheduling Optimization for Power Plants Considering Long-Distance Consumption of Wind-Solar-Thermal Hybrid Systems. Energies 2017, 10, 1260 .
AMA StyleTiejiang Yuan, Tingting Ma, Yiqian Sun, Ning Chen, Bingtuan Gao. Game-Based Generation Scheduling Optimization for Power Plants Considering Long-Distance Consumption of Wind-Solar-Thermal Hybrid Systems. Energies. 2017; 10 (9):1260.
Chicago/Turabian StyleTiejiang Yuan; Tingting Ma; Yiqian Sun; Ning Chen; Bingtuan Gao. 2017. "Game-Based Generation Scheduling Optimization for Power Plants Considering Long-Distance Consumption of Wind-Solar-Thermal Hybrid Systems." Energies 10, no. 9: 1260.