Novel Common Mode Voltage Elimination Methods in Three-Phase Four-Wire Grid-Connected Inverters

التفاصيل البيبلوغرافية
العنوان: Novel Common Mode Voltage Elimination Methods in Three-Phase Four-Wire Grid-Connected Inverters
المؤلفون: Giovanna Oriti, Alexander L. Julian
المصدر: IEEE Transactions on Industry Applications. 59:1044-1053
بيانات النشر: Institute of Electrical and Electronics Engineers (IEEE), 2023.
سنة النشر: 2023
مصطلحات موضوعية: Model predictive control, State-space representation, Three-phase, Delta modulation, Computer science, Control and Systems Engineering, Electronic engineering, Inverter, Common-mode signal, Choke, Electrical and Electronic Engineering, Space vector modulation, Industrial and Manufacturing Engineering
الوصف: This paper presents the elimination of common mode (CM) conducted emissions in three-phase four-wire four-pole inverters connected to an AC distribution bus and operating in grid-following mode. Two novel control strategies are proposed and compared to the CM emission limits in the military standard 461G. Delta modulation and model predictive control both demonstrate elimination of the common mode voltage at the output of the three-phase four-pole inverter and the ability to meet the military standard’s requirements without a CM choke. The differential mode performance is comparable to that of three-dimensional space vector modulation, which does not cancel CM emissions. A physics-based model of the system was developed using state space equations to simulate the conducted emissions that can be expected with the two proposed methods. As the proposed methods result in increased switching frequency, wide bandgap devices were used to build a laboratory prototype, which successfully validate the simulated results.
تدمد: 1939-9367
0093-9994
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6499b3326b6d62c270d8de0c8cfd0b9
https://doi.org/10.1109/tia.2022.3211910
حقوق: CLOSED
رقم الأكسشن: edsair.doi.dedup.....e6499b3326b6d62c270d8de0c8cfd0b9
قاعدة البيانات: OpenAIRE