Intelligent Neural Network-Based Controller for Single-Phase Wind Energy Conversion System Using Two Winding Self-Excited Induction Generator

被引：23

作者：

Kalla, Ujjwal Kumar ^{[1
]}

Singh, Bhim ^{[1
]}

Murthy, S. S. ^{[1
]}

机构：

[1] Indian Inst Technol Delhi, Dept Elect Engn, New Delhi 110016, India

来源：

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS | 2016年 / 12卷 / 06期

关键词：

Neural network based control; power quality; single-phase self-excited induction generator (SEIG); voltage and frequency control; wind energy conversion system (WECS); CONTROL STRATEGY; ACTIVE-FILTER; POWER; VOLTAGE; FREQUENCY; INVERTER; DESIGN; DRIVEN; LOAD;

D O I：

10.1109/TII.2016.2591881

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper deals with a single-phase standalone wind energy conversion system using a two winding self-excited induction generator (SEIG). The proposed controller consists of a two leg voltage source converter (VSC) and a battery energy storage system (BESS) connected at its dc bus. The VSC-BESS system is controlled using an intelligent neural network-based control (INNBC) algorithm with a dynamic learning rate, depending upon the rate of change of load current to achieve an excellent dynamic as well as steady-state response of the system. The proposed control algorithm is implemented in real time using a digital signal processor. Simulated and experimental steady state and dynamic performances of proposed SEIG are presented with the proposed controller using the INNBC algorithm. The system voltage and frequency are maintained constant in all types of steady-state and dynamic loading conditions.

引用

页码：1986 / 1997

页数：12

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