A Three Decades of Marvellous Significant Review of Power Quality Events Regarding Detection &Classification  

作　　者：Mian Khuram Ahsan Tianhong Pan Zhengming Li 

机构地区：[1]School of Electrical Information & Engineering, Jiangsu University, Zhenjiang, China

出　　处：《Journal of Power and Energy Engineering》2018年第8期1-37,共37页电力能源（英文）

摘　　要：Around the globe, the necessity of green supply with a dedicated standard quality thrust of consumers is increasing day by day. The advancement in technology urges the electrical power system to deliver a high-quality rated undistorted sinusoidal current, the voltage at a constant desired standard frequency to its consumers. The present paper reveals a complete and inclusive study of power quality events, such as automatic classification and signal processing via creative techniques and the noises effect on the detection and classification of power quality disturbances. It’s planned to make a possible list for quick reference to obtain an extensive variety on the condition & status of available research for detection and classification for young engineers, designers and researchers who enter in the power quality field. The current extensive study is supported by a critical review of more than 200 publications on detection and classification techniques of power quality disturbances.Around the globe, the necessity of green supply with a dedicated standard quality thrust of consumers is increasing day by day. The advancement in technology urges the electrical power system to deliver a high-quality rated undistorted sinusoidal current, the voltage at a constant desired standard frequency to its consumers. The present paper reveals a complete and inclusive study of power quality events, such as automatic classification and signal processing via creative techniques and the noises effect on the detection and classification of power quality disturbances. It’s planned to make a possible list for quick reference to obtain an extensive variety on the condition & status of available research for detection and classification for young engineers, designers and researchers who enter in the power quality field. The current extensive study is supported by a critical review of more than 200 publications on detection and classification techniques of power quality disturbances.

关 键 词：POWER QUALITY Feature Extraction POWER QUALITY Disturbances POWER QUALITY EVENTS CLASSIFIER 

分 类 号：R73[医药卫生—肿瘤]