An Artificial Neural Network based Controller for MLC-UPQC with Power Angle Adjustment

被引：0

作者：

Kota, Venkata Reddy ^{[1
]}

Vinnakoti, Sudheer ^{[1
]}

机构：

[1] Jawaharlal Nehru Technol Univ Kakinada, Kakinada, Andhra Prades, India

来源：

TENCON 2017 - 2017 IEEE REGION 10 CONFERENCE | 2017年

关键词：

Artificial Neural Network (ANN); Levenberg-Marquardt back propagation (LMBP); Power Angle Control (PAC); Total harmonic distortion (THD); Unified Power Quality Conditioner (UPQC); QUALITY CONDITIONER; ACTIVE-FILTERS; COMPENSATION; SHUNT; PERFORMANCE; IMPROVEMENT; SYSTEMS; SERIES;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The conventional control schemes for Unified Power Quality Conditioner (UPQC) such as SRF-based control and pq-theory based control involves three-phase to two-phase transformations and complex calculations. This paper proposes an ANN controller for a Multilevel Converter based UPQC (MLC-UPQC) which eliminates the need for transformations and requirement of DSPs or FPGAs and thereby reduces the cost and complexity of the system. In this paper, a novel scheme for load reactive power sharing between shut and series converters by the adjustment of power angle is also discussed. This power angle adjustment reduces the size and cost of the shunt converter of UPQC without impacting the series converter. Simulations carried out in Matlab/Simulink support the applicability of the proposed scheme for UPQC.

引用

页码：250 / 255

页数：6

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