.png){kind=icon}
返回
Design and Realization of Controller for Static Switch in Microgrid Using Wavelet-Based TSK Reasoning
.png){kind=icon}
PRE
AI
DOI：10.1109/TII.2018.2804896.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
A microgrid may comprise several zones with local loads and distributed generation resources. If a fault occurs in a zone, then a static switch between the faulty and fault-free zones must be activated to detect/classify the faults and enable the breaker to open the circuit immediately. This paper presents a new method for designing a detection/classification module in a static switch using the Park Transform (PT), Multiresolution Analysis (MRA) and Takagi-Sugeno-Kang (TSK) fuzzy rules. Both wavelet coefficients/energies of the d-axis component, within 0.96-1.92 kHz, obtained by MRA and PT are employed to effectively detect and classify the fault types using the local fault signals near the static switch without a complicated communication system. The proposed TSK fuzzy rules, defined by the scenario data only, successfully classify the faults. The proposed method is verified by hardware-in-the-loop simulation using a real-time digital simulator and a realistic 5 kVA static switch. The proposed method is implemented in a Xilinx field-programmable gate array. Test results show that the proposed method is efficient in the real-time control environment of a microgrid.
Keyword:
Fuzzy reasoning
microgrid
multiresolution analysis (MRA)
static switch
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
9.9
论文数:
8.6K
被引数:
6.0W
机构
引用论文
sEMG-Based Identification of Hand Motion Commands Using Wavelet Neural Network Combined With Discrete Wavelet Transform基于sEMG的小波神经网络结合离散小波变换的手部运动指令识别
.png){kind=icon}
PREAI
分享收藏
A General Framework for FPGA-Based Real-Time Emulation of Electrical Machines for HIL Applications用于HIL应用的基于FPGA的电机实时仿真的通用框架
OAAI
OAAI分享收藏Design of a Generalized Control Algorithm for Parallel Inverters for Smooth Microgrid Transition Operation面向微电网平滑过渡运行的逆变器并联广义控制算法设计
PREAI
分享收藏FPGA Implementation of ADALINE-Based Speed Controller in a Two-Mass System基于ADALINE的双质量系统速度控制器的FPGA实现
PREAI
分享收藏A Hybrid Framework for Fault Detection, Classification, and Location-Part I: Concept, Structure, and Methodology用于故障检测，分类和定位的混合框架-第一部分: 概念，结构和方法
PREAI
分享收藏Fault Detection and Classification in EHV Transmission Line Based on Wavelet Singular Entropy基于小波奇异熵的超高压输电线路故障检测与分类
PREAI
分享收藏
查看更多内容