Enhancing Power Grid System Analysis with Medium Voltage Cascaded H-Bridge Motor Driver Dynamic Model

Author:

Alahmad Adil1,Kacar Firat1,Uzunoglu Cengiz Polat1,Mastorakis Nikos2

Affiliation:

1. Electrical and Electronics Engineering Department, Istanbul University-Cerrahpasa, 34320 Avcılar, Istanbul, TURKEY

2. English Language Faculty of Engineering, Technical University of Sofia, Clement Ohridski 8, 1000 Sofia, BULGARIA

Abstract

Medium voltage cascaded H-Bridge motor drives (MV-CHBMD) are popular with renewable applications because of their scalability, reliability, and modularity. The MV-CBHMDs are used in different medium voltage applications and significantly affect grid flexibility, performance, and efficiency. Even with the famous use of MV-CHBMD, the provided simulation models need to be more detailed to cover grid connection dynamic investigations. This study provides a dynamic design of MV-CHBMD, connected with the power grid source and induction motor (IM) with load, which provides a compliance large-scale analysis for the dynamic act of the power grid system. The proposed model of dynamic MV-CHBMD is suitable for power system studies. The model provides an analytical analysis of the grid connection with the cascaded H-bridge motor driver (CHBMD) and IM on the load side of the driver. It accurately represents the dynamic of the total system under different disturbances. The main factors affected during any perturbation are variable frequency and voltage, which are deeply considered in the proposed model. A simulation analysis verifies the model’s accuracy, reliability, and effectivity. The mode sensitivity analysis depends on the impact of the variable parameters on the system acting and responding. The proposed model is easily insertable in the extensive grid-simulating system, which provides more accurate results in power grid dynamic studies.

Publisher

World Scientific and Engineering Academy and Society (WSEAS)

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3