为了满足对电网谐波治理的要求,提出了一种新颖的双18脉波整流器拓扑结构。首先介绍了其工作原理,然后分析了相移变压器的功能以及消谐原理,推导出进线电源中电流的解析表达式,最后对这种新型的拓扑结构进行了仿真和实验研究。仿真和实...为了满足对电网谐波治理的要求,提出了一种新颖的双18脉波整流器拓扑结构。首先介绍了其工作原理,然后分析了相移变压器的功能以及消谐原理,推导出进线电源中电流的解析表达式,最后对这种新型的拓扑结构进行了仿真和实验研究。仿真和实验的结果表明,这种双18脉冲整流器不仅能实现36脉波整流的效果,使其满足IEEE Standard 519-1992标准的要求,而且该拓扑结构还可以消除由于制造等原因而造成相移角误差所引起的残留在单个相移变压器中的第5、7等低次谐波。该拓扑结构具有优良的工作性能和良好的工业应用前景。展开更多
Typically,smart grid systems enhance the ability of conventional power system networks as it is vulnerable to several kinds of attacks.These vulnerabil-ities might cause the attackers or intruders to collapse the enti...Typically,smart grid systems enhance the ability of conventional power system networks as it is vulnerable to several kinds of attacks.These vulnerabil-ities might cause the attackers or intruders to collapse the entire network system thus breaching the confidentiality and integrity of smart grid systems.Thus,for this purpose,Intrusion detection system(IDS)plays a pivotal part in offering a reliable and secured range of services in the smart grid framework.Several exist-ing approaches are there to detect the intrusions in smart grid framework,however they are utilizing an old dataset to detect anomaly thus resulting in reduced rate of detection accuracy in real-time and huge data sources.So as to overcome these limitations,the proposed technique is presented which employs both real-time raw data from the smart grid network and KDD99 dataset thus detecting anoma-lies in the smart grid network.In the grid side data acquisition,the power trans-mitted to the grid is checked and enhanced in terms of power quality by eradicating distortion in transmission lines.In this approach,power quality in the smart grid network is enhanced by rectifying the fault using a FACT device termed UPQC(Unified Power Quality Controller)and thereby storing the data in cloud storage.The data from smart grid cloud storage and KDD99 are pre-pro-cessed and are optimized using Improved Aquila Swarm Optimization(IASO)to extract optimal features.The probabilistic Recurrent Neural Network(PRNN)classifier is then employed for the prediction and classification of intrusions.At last,the performance is estimated and the outcomes are projected in terms of grid voltage,grid current,Total Harmonic Distortion(THD),voltage sag/swell,accu-racy,precision,recall,F-score,false acceptance rate(FAR),and detection rate of the classifier.The analysis is compared with existing techniques to validate the proposed model efficiency.展开更多
以一起220 k V主变压器保护装置发电压互感器(TV)异常告警为例,说明三次谐波超标是引起装置TV异常的原因之一。经过进一步分析得出,当TV中性点装有消谐器时,消谐器会产生电压并在TV零序开口三角上显现出三次谐波,进而引起主变压器保护...以一起220 k V主变压器保护装置发电压互感器(TV)异常告警为例,说明三次谐波超标是引起装置TV异常的原因之一。经过进一步分析得出,当TV中性点装有消谐器时,消谐器会产生电压并在TV零序开口三角上显现出三次谐波,进而引起主变压器保护装置发TV异常告警。针对该类异常告警提出了解决对策,以确保变电站内主设备安全稳定运行。展开更多
文摘为了满足对电网谐波治理的要求,提出了一种新颖的双18脉波整流器拓扑结构。首先介绍了其工作原理,然后分析了相移变压器的功能以及消谐原理,推导出进线电源中电流的解析表达式,最后对这种新型的拓扑结构进行了仿真和实验研究。仿真和实验的结果表明,这种双18脉冲整流器不仅能实现36脉波整流的效果,使其满足IEEE Standard 519-1992标准的要求,而且该拓扑结构还可以消除由于制造等原因而造成相移角误差所引起的残留在单个相移变压器中的第5、7等低次谐波。该拓扑结构具有优良的工作性能和良好的工业应用前景。
文摘Typically,smart grid systems enhance the ability of conventional power system networks as it is vulnerable to several kinds of attacks.These vulnerabil-ities might cause the attackers or intruders to collapse the entire network system thus breaching the confidentiality and integrity of smart grid systems.Thus,for this purpose,Intrusion detection system(IDS)plays a pivotal part in offering a reliable and secured range of services in the smart grid framework.Several exist-ing approaches are there to detect the intrusions in smart grid framework,however they are utilizing an old dataset to detect anomaly thus resulting in reduced rate of detection accuracy in real-time and huge data sources.So as to overcome these limitations,the proposed technique is presented which employs both real-time raw data from the smart grid network and KDD99 dataset thus detecting anoma-lies in the smart grid network.In the grid side data acquisition,the power trans-mitted to the grid is checked and enhanced in terms of power quality by eradicating distortion in transmission lines.In this approach,power quality in the smart grid network is enhanced by rectifying the fault using a FACT device termed UPQC(Unified Power Quality Controller)and thereby storing the data in cloud storage.The data from smart grid cloud storage and KDD99 are pre-pro-cessed and are optimized using Improved Aquila Swarm Optimization(IASO)to extract optimal features.The probabilistic Recurrent Neural Network(PRNN)classifier is then employed for the prediction and classification of intrusions.At last,the performance is estimated and the outcomes are projected in terms of grid voltage,grid current,Total Harmonic Distortion(THD),voltage sag/swell,accu-racy,precision,recall,F-score,false acceptance rate(FAR),and detection rate of the classifier.The analysis is compared with existing techniques to validate the proposed model efficiency.
文摘以一起220 k V主变压器保护装置发电压互感器(TV)异常告警为例,说明三次谐波超标是引起装置TV异常的原因之一。经过进一步分析得出,当TV中性点装有消谐器时,消谐器会产生电压并在TV零序开口三角上显现出三次谐波,进而引起主变压器保护装置发TV异常告警。针对该类异常告警提出了解决对策,以确保变电站内主设备安全稳定运行。
