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Peng Cheng
College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, China

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Short Biography

PENG CHENG was born in 1972. He received M.S. and Ph.D. degrees in electrical machines and systems from Kuban State Technical University, Russia, in 1998 and 2003, respectively. His research interest includes special motor design and control, marine electric propulsion, dynamic analysis of ship power systems, winding and solar energy generation.

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Journal article
Published: 11 May 2021 in Energies
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Within large turboalternators, the excessive local temperatures and spatially distributed temperature differences can accelerate the deterioration of electrical insulation as well as lead to deformation of components, which may cause major machine malfunctions. In order to homogenise the stator axial temperature distribution whilst reducing the maximum stator temperature, this paper presents a novel non-uniform radial ventilation ducts design methodology. To reduce the huge computational costs resulting from the large-scale model, the stator is decomposed into several single ventilation duct subsystems (SVDSs) along the axial direction, with each SVDS connected in series with the medium of the air gap flow rate. The calculation of electromagnetic and thermal performances within SVDS are completed by finite element method (FEM) and computational fluid dynamics (CFD), respectively. To improve the optimization efficiency, the radial basis function neural network (RBFNN) model is employed to approximate the finite element analysis, while the novel isometric sampling method (ISM) is designed to trade off the cost and accuracy of the process. It is found that the proposed methodology can provide optimal design schemes of SVDS with uniform axial temperature distribution, and the needed computation cost is markedly reduced. Finally, results based on a 15 MW turboalternator show that the peak temperature can be reduced by 7.3 °C (6.4%). The proposed methodology can be applied for the design and optimisation of electromagnetic-thermal coupling of other electrical machines with long axial dimensions.

ACS Style

Ruiye Li; Peng Cheng; Hai Lan; Weili Li; David Gerada; Yingyi Hong. Stator Non-Uniform Radial Ventilation Design Methodology for a 15 MW Turbo-Synchronous Generator Based on Single Ventilation Duct Subsystem. Energies 2021, 14, 2760 .

AMA Style

Ruiye Li, Peng Cheng, Hai Lan, Weili Li, David Gerada, Yingyi Hong. Stator Non-Uniform Radial Ventilation Design Methodology for a 15 MW Turbo-Synchronous Generator Based on Single Ventilation Duct Subsystem. Energies. 2021; 14 (10):2760.

Chicago/Turabian Style

Ruiye Li; Peng Cheng; Hai Lan; Weili Li; David Gerada; Yingyi Hong. 2021. "Stator Non-Uniform Radial Ventilation Design Methodology for a 15 MW Turbo-Synchronous Generator Based on Single Ventilation Duct Subsystem." Energies 14, no. 10: 2760.

Journal article
Published: 30 June 2020 in Energies
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The extensive use of finite element models accurately simulates the temperature distribution of electrical machines. The simulation model can be quickly modified to reflect changes in design. However, the long runtime of the simulation prevents any direct application of the optimization algorithm. In this paper, research focused on improving efficiency with which expensive analysis (finite element method) is used in generator temperature distribution. A novel surrogate model based optimization method is presented. First, the Taguchi orthogonal array relates a series of stator geometric parameters as input and the temperatures of a generator as output by sampling the design decision space. A number of stator temperature designs were generated and analyzed using 3-D multi-physical field collaborative finite element model. A suitable shallow neural network was then selected and fitted to the available data to obtain a continuous optimization objective function. The accuracy of the function was verified using randomly generated geometric parameters to the extent that they were feasible. Finally, a multi-objective genetic optimization algorithm was applied in the function to reduce the average and maximum temperature of the machine simultaneously. As a result, when the Pareto front was compared with the initial data, these temperatures showed a significant decrease.

ACS Style

Ruiye Li; Peng Cheng; Yingyi Hong; Hai Lan; He Yin. Design Synchronous Generator Using Taguchi-Based Multi-Objective Optimization. Energies 2020, 13, 3337 .

AMA Style

Ruiye Li, Peng Cheng, Yingyi Hong, Hai Lan, He Yin. Design Synchronous Generator Using Taguchi-Based Multi-Objective Optimization. Energies. 2020; 13 (13):3337.

Chicago/Turabian Style

Ruiye Li; Peng Cheng; Yingyi Hong; Hai Lan; He Yin. 2020. "Design Synchronous Generator Using Taguchi-Based Multi-Objective Optimization." Energies 13, no. 13: 3337.

Journal article
Published: 18 December 2019 in Energies
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Renewable energy ship was regarded as one of the ship energy technologies with a good prospect. In order to study the application of solar and wind energy on ships in the marine environment and the impact of ship rolling on the system, the feasibility of applying solar energy and wind energy to ships was analyzed, and the structural composition of ship power system incorporating renewable energy source was studied. The model of the ship power system integrated with renewable energy was built in PSCAD/EMTDC simulation software. The layout of wind power generation system and photovoltaic power generation system was given for the actual ship, and the ship parameters and specific parameters of each simulation module were determined. It can be seen that the rolling of ship will cause fluctuations in the grid-connected power of the photovoltaic power generation system and the wind power generation system from the comparison of the simulation curves. Finally, a simulation experiment is provided to prove the access of the battery can well suppress the grid-connected power fluctuation caused by the rolling of the ship, which has an important impact on the stability of the ship power system with renewable energy.

ACS Style

Peng Cheng; Ning Liang; Ruiye Li; Hai Lan; Qian Cheng. Analysis of Influence of Ship Roll on Ship Power System with Renewable Energy. Energies 2019, 13, 1 .

AMA Style

Peng Cheng, Ning Liang, Ruiye Li, Hai Lan, Qian Cheng. Analysis of Influence of Ship Roll on Ship Power System with Renewable Energy. Energies. 2019; 13 (1):1.

Chicago/Turabian Style

Peng Cheng; Ning Liang; Ruiye Li; Hai Lan; Qian Cheng. 2019. "Analysis of Influence of Ship Roll on Ship Power System with Renewable Energy." Energies 13, no. 1: 1.

Journal article
Published: 04 May 2017 in Energies
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With the increasing penetration of wind power, not only the uncertainties but also the correlation among the wind farms should be considered in the power system analysis. In this paper, Clayton-Copula method is developed to model the multiple correlated wind distribution and a new point estimation method (PEM) is proposed to discretize the multi-correlated wind distribution. Furthermore, combining the proposed modeling and discretizing method with Hybrid Multi-Objective Particle Swarm Optimization (HMOPSO), a comprehensive algorithm is explored to minimize the power system cost and the emissions by searching the best placements and sizes of energy storage system (ESS) considering wind power uncertainties in multi-correlated wind farms. In addition, the variations of load are also taken into account. The IEEE 57-bus system is adopted to perform case studies using the proposed approach. The results clearly demonstrate the effectiveness of the proposed algorithm in determining the optimal storage allocations considering multi-correlated wind farms.

ACS Style

Shuli Wen; Hai Lan; Qiang Fu; David C. Yu; Ying-Yi Hong; Peng Cheng. Optimal Allocation of Energy Storage System Considering Multi-Correlated Wind Farms. Energies 2017, 10, 625 .

AMA Style

Shuli Wen, Hai Lan, Qiang Fu, David C. Yu, Ying-Yi Hong, Peng Cheng. Optimal Allocation of Energy Storage System Considering Multi-Correlated Wind Farms. Energies. 2017; 10 (5):625.

Chicago/Turabian Style

Shuli Wen; Hai Lan; Qiang Fu; David C. Yu; Ying-Yi Hong; Peng Cheng. 2017. "Optimal Allocation of Energy Storage System Considering Multi-Correlated Wind Farms." Energies 10, no. 5: 625.

Journal article
Published: 09 March 2016 in Inventions
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Due the concern about serious environmental pollution and fossil energy consumption, introducing solar generation into ship power systems has drawn greater attention. However, the penetration of solar energy will result in ship power system instability caused by the uncertainties of the solar irradiation. Unlike on land, the power generated by photovoltaic (PV) modules on the shipboard changes as the ship rolls. In this paper, a high-speed flywheel energy storage system (FESS) is modeled to smooth the PV power fluctuations and improve the power quality on a large oil tanker which contains a PV generation system, a diesel generator, a FESS, and various types of ship loads. Furthermore, constant torque angle control method combined with sinusoidal pulse width modulation (SPWM) approach is proposed to control the FESS charging and discharging. Different ship operating situations and the impact of the ship rolling is taken into consideration. The simulation results demonstrate the high efficiency and fast response of the flywheel energy storage system to enhance the stability of the proposed hybrid ship power system.

ACS Style

Hai Lan; Yifei Bai; Shuli Wen; David C. Yu; Ying-Yi Hong; Jinfeng Dai; Peng Cheng. Modeling and Stability Analysis of Hybrid PV/Diesel/ESS in Ship Power System. Inventions 2016, 1, 5 .

AMA Style

Hai Lan, Yifei Bai, Shuli Wen, David C. Yu, Ying-Yi Hong, Jinfeng Dai, Peng Cheng. Modeling and Stability Analysis of Hybrid PV/Diesel/ESS in Ship Power System. Inventions. 2016; 1 (1):5.

Chicago/Turabian Style

Hai Lan; Yifei Bai; Shuli Wen; David C. Yu; Ying-Yi Hong; Jinfeng Dai; Peng Cheng. 2016. "Modeling and Stability Analysis of Hybrid PV/Diesel/ESS in Ship Power System." Inventions 1, no. 1: 5.