Study and optimization design of steam turbine generator suitable for small-scale lead-bismuth fast reactors

IF 2 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Iet Generation Transmission & Distribution Pub Date : 2025-01-21 DOI:10.1049/gtd2.13361
Peng Cheng, Hongen Zhang, Wenfei Guo, Zhao Wang
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Abstract

Compared with traditional reactors, lead-bismuth fast reactors have broader development prospects. Based on the operating characteristics of these reactors, this article proposes a design scheme for steam turbine generators suitable for small-scale lead-bismuth fast reactors. To achieve the design requirements of high efficiency and high-power density for steam turbine generators simultaneously, a multi-objective optimization method based on a feedforward neural network surrogate model is proposed. First, the generator losses and power density are analyzed to obtain the structural parameters that affect the generator optimization objectives. The selected structural parameters are then subjected to sensitivity analysis and data sampling. Subsequently, a feedforward neural network model is used to replace the finite element model, and based on this, a multi-objective genetic algorithm is employed to globally optimize the efficiency and power density of the generator. The final preferred scheme is obtained from the solved Pareto solution set. Meanwhile, the finite element method is used to verify and analyze the optimization results. The optimization results show that while ensuring the generator efficiency, the power density is further improved. Finally, the temperature rise of the generator is analyzed, and the results show that the temperature distribution of the generator is reasonable.

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来源期刊
Iet Generation Transmission & Distribution
Iet Generation Transmission & Distribution 工程技术-工程:电子与电气
CiteScore
6.10
自引率
12.00%
发文量
301
审稿时长
5.4 months
期刊介绍: IET Generation, Transmission & Distribution is intended as a forum for the publication and discussion of current practice and future developments in electric power generation, transmission and distribution. Practical papers in which examples of good present practice can be described and disseminated are particularly sought. Papers of high technical merit relying on mathematical arguments and computation will be considered, but authors are asked to relegate, as far as possible, the details of analysis to an appendix. The scope of IET Generation, Transmission & Distribution includes the following: Design of transmission and distribution systems Operation and control of power generation Power system management, planning and economics Power system operation, protection and control Power system measurement and modelling Computer applications and computational intelligence in power flexible AC or DC transmission systems Special Issues. Current Call for papers: Next Generation of Synchrophasor-based Power System Monitoring, Operation and Control - https://digital-library.theiet.org/files/IET_GTD_CFP_NGSPSMOC.pdf
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