Control Strategy of Parallel Systems with Efficiency Optimisation in Switched Reluctance Generators

IF 1.7

Power Electronics and Drives Pub Date : 2021-01-01 DOI:10.2478/pead-2021-0003

X. Zan, Hang Lin, Guanqun Xu, Tiejun Zhao, Yinsheng Gong

{"title":"Control Strategy of Parallel Systems with Efficiency Optimisation in Switched Reluctance Generators","authors":"X. Zan, Hang Lin, Guanqun Xu, Tiejun Zhao, Yinsheng Gong","doi":"10.2478/pead-2021-0003","DOIUrl":null,"url":null,"abstract":"Abstract To solve motor heating and life shortening of parallel switched reluctance generator (SRG) induced by uneven output currents due to different external characteristics, we generally adopt current sharing control (CSC) to make each parallel generator undertake large load currents on average to improve the reliability of parallel power generation system. However, the method usually causes additional loss of power because it does not consider the efficiency characteristics of each parallel generator. Therefore, with the efficiency expression for the parallel system of SRG established and analysed, the control strategy based on differential evolution (DE) algorithm is proposed as a mechanism by which to enhance generating capacity and reliability of multi-machine power generation from the perspective of efficiency optimisation. We re-adjust the reference current of each parallel generator to transform the working point of each generator and implement the efficiency optimisation of parallel system. The performance of the proposed control method is evaluated in detail by the simulation and experiment, and comparison with traditional CSC is carried out as well.","PeriodicalId":373546,"journal":{"name":"Power Electronics and Drives","volume":"102 1","pages":"0"},"PeriodicalIF":1.7000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Power Electronics and Drives","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/pead-2021-0003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

Abstract

Abstract To solve motor heating and life shortening of parallel switched reluctance generator (SRG) induced by uneven output currents due to different external characteristics, we generally adopt current sharing control (CSC) to make each parallel generator undertake large load currents on average to improve the reliability of parallel power generation system. However, the method usually causes additional loss of power because it does not consider the efficiency characteristics of each parallel generator. Therefore, with the efficiency expression for the parallel system of SRG established and analysed, the control strategy based on differential evolution (DE) algorithm is proposed as a mechanism by which to enhance generating capacity and reliability of multi-machine power generation from the perspective of efficiency optimisation. We re-adjust the reference current of each parallel generator to transform the working point of each generator and implement the efficiency optimisation of parallel system. The performance of the proposed control method is evaluated in detail by the simulation and experiment, and comparison with traditional CSC is carried out as well.

查看原文本刊更多论文

开关磁阻发电机并联系统效率优化控制策略

摘要为了解决由于外部特性不同导致并联开关磁阻发电机(SRG)输出电流不均匀导致电机发热和寿命缩短的问题，一般采用电流分担控制(CSC)的方法，使每台并联发电机平均承担较大的负载电流，以提高并联发电系统的可靠性。然而，由于该方法没有考虑到每台并联发电机的效率特性，通常会造成额外的功率损失。因此，在建立并分析了SRG并联系统效率表达式的基础上，提出了基于差分进化(DE)算法的控制策略，从效率优化的角度提高多机发电的发电能力和可靠性。通过重新调整各并联发电机的参考电流，实现各并联发电机工作点的转换，实现并联系统的效率优化。通过仿真和实验对所提控制方法的性能进行了详细评价，并与传统的控制方法进行了比较。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Power Electronics and Drives

自引率

0.00%

发文量