| 引用本文: | 韩 力,罗张尧,金 钊,袁 春,卢 彬,潘小兵.定子双绕组风力感应发电机优化设计方法[J].电力自动化设备,2015,35(3): |
| HAN Li,LUO Zhangyao,JIN Zhao,YUAN Chun,LU Bin,PAN Xiaobing.Optimal design of dual stator-winding induction generator for wind power[J].Electric Power Automation Equipment,2015,35(3): |
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| 摘要: |
| 结合定子双绕组感应发电机（DWIG）在风力发电场合的运行特点，建立了风力DWIG的优化设计模型，提出了相应的优化目标、优化变量及约束条件。针对粒子群优化算法早熟收敛的问题，提出了一种具有向成功和失败双重学习能力的遗传-粒子群综合算法（GPSMA）。在此基础上，分别以转速范围内的控制绕组电流及额定效率为优化目标，利用GPSMA对一台18.5 kW的DWIG进行了优化设计，并对2套优化方案进行了分析。结果表明，优化之后的样机的控制绕组电流最大值下降了62.7 % 或额定效率提高了0.94 %，说明GPSMA有助于DWIG优化设计。 |
| 关键词: 感应发电机 定子双绕组感应发电机 风电 遗传－粒子群综合算法 发电机 设计 优化 |
| DOI： |
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| 基金项目:基金项目：军用特种电源军队重点实验室开放课题资助项目（MSPS2013-01） |
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| Optimal design of dual stator-winding induction generator for wind power |
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HAN Li1, LUO Zhangyao1,2, JIN Zhao3, YUAN Chun3, LU Bin1, PAN Xiaobing3
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1.State Key Laboratory of Power Transmission Equipment & System Security and New Technology，Chongqing University，Chongqing 400044，China;2.Wanzhou Power Supply Branch Company，State Grid Chongqing Electric Power Company，Chongqing 404000，China;3.Key Laboratory of Special Power Supply，Chongqing Communication Institute，Chongqing 400035，China
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| Abstract: |
| According to the operational characteristics of DWIG （Dual stator-Winding Induction Generator） for wind power，an optimal design model is established and the corresponding optimization objectives，optimization variables and constraints are put forward. Aiming at the premature convergence problem of PSO（Particle Swarm Optimization） algorithm，a GPSMA （Genetic-Particle Swarm Memetic Algorithm） is proposed，which learns from both success and failure. An 18.5 kW DWIG is optimized by GPSMA with the control winding current within speed range and the rated efficiency as its optimization objective respectively and the results of two optimization schemes are analyzed，which show that，the maximum control winding current of the optimized prototype decreases by 62.7 % or its rated efficiency increases by 0.94 %，verifying the effectiveness of GPSMA in the optimal design of DWIG. |
| Key words: induction generator dual stator-winding induction generator wind power GPSMA electric generators design optimization |
