Distributed neural network enhanced power generation strategy of large-scale wind power plant for power expansion

Dong, Zhen; Li, Zhongguo; Liang, Zhongchao; Xu, Yiqiao; Ding, Zhengtao

doi:10.1016/j.apenergy.2021.117622

Cited by 5 publications

(1 citation statement)

References 26 publications

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“…Generally, the output three-phase voltage of the generator needs to be regulated by a rectifier and a DC/DC converter and finally be stored in a battery or supercapacitor. In the above design, the optimized external resistance is constant, which can be implemented by the DC/DC converter using the fractional open-circuit voltage (FOCV) technology (Dong et al, 2023). The FOCV controls the input voltage of the DC/DC converter to a constant scale of the open-circuit voltage, which can implement an approximately constant equivalent resistance of the circuit.…”

Section: Optimization Results and Discussionmentioning

confidence: 99%

Energy harvesting potential assessment and systematic design for energy-regenerative shock absorbers on railway freight wagons

Dong,

Zhang,

et al. 2023

Journal of Intelligent Material Systems and Structures

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A large amount of vibration energy is dissipated in the secondary suspension systems of railway freight wagons, which can be harvested as renewable power supplies to serve more smart devices for onboard applications. This paper explores the vibration energy harvesting potential of freight wagons and deals with the systematic design issues of energy-regenerative shock absorbers (ERSAs). By considering the ERSA force interaction and realistic track irregularity, a vehicle-track coupled model is established to predict a more accurate vibration response. The parameter sensibility analysis reveals that the operation speed, vehicle load, and track irregularity are the most critical factors that can significantly affect the power generation performance. In addition, vibration energy harvesting potential assessment is conducted on American, German, and Chinese track spectrums and several field-measured freight lines, indicating an average power potential ranging from 33 to 960 W per absorber with a full-loaded freight wagon running at 90 km/h. Finally, a systematic design approach for ERSAs is proposed based on the prior feasibility assessment, a hybrid Grey Wolf Optimization and Particle Swarm Optimization (GWO-PSO) algorithm, and the vehicle-ERSA coupled model. The digital twin of an ERSA has been established and validated by a series of experimental tests. Taking the average power as the objective and setting the suspension vibration velocity, maximum generator rotation velocity, and maximum ERSA force as constraints, the optimized ERSA exhibits an output power of 63 W and 20.22% shock absorption on the secondary suspension. Meanwhile, the GWO-PSO has demonstrated an enhanced exploration ability than the conventional GWO in dealing with the constrained optimization problem of the ERSA design.

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Section: Optimization Results and Discussionmentioning

confidence: 99%