Distributed Quasi-Dynamic State Estimation Incorporating Distributed Energy Resources

doi:10.1109/NAPS.2018.8600662

	Distributed Quasi-Dynamic State Estimation Incorporating Distributed Energy Resources
	Xie, Boqi 1; Meliopoulos, A. P. Sakis 1; Zhong, Chiyang 1; Liu, Yu2 ; Sun, Liangyi 1; Xie, Jiahao 1
	2018
会议录名称	2018 NORTH AMERICAN POWER SYMPOSIUM (NAPS)
发表状态	已发表
DOI	10.1109/NAPS.2018.8600662
摘要	Deployment of distributed energy resources (DERs) introduces more dynamics to the distribution system, and brings system operators more challenges in monitoring and controlling the distribution system. These challenges can be addressed by developing methods for real time extraction of the operating state and model of the system, that is advanced state estimators for distribution systems with high penetration of DERs. This paper presents an object-oriented Distributed Quasi-Dynamic State Estimator (DQDSE) that employs three-phase detailed models and enables data from sensors to be streamed and used by the DQDSE. Based on three-phase detailed quasi-dynamic models that track slow dynamics (e.g., controls of power electronics, electromechanical transients of motors, etc.), DQDSE forms network measurement model by using network wise measurements, performs quasi-dynamic state estimation, and provides the best estimate of the distribution system states. The proposed DQDSE has the following advantages: (1) detailed modeling approach ensures accurate results even when accommodating unbalanced and asymmetric systems; (2) the measurement set of DQDSE contains measurements from sensors as well as other measurement types to increase redundancy; (3) the distributed architecture of DQDSE enables fast data processing. The paper presents the method via an illustrative example that substantiates the effectiveness of DQDSE.
关键词	distributed quasi-dynamic state estimation distributed energy resources object-oriented three-phase detailed model
出版地	345 E 47TH ST, NEW YORK, NY 10017 USA
会议地点	Fargo, ND
会议日期	9-11 Sept. 2018
URL	查看原文
收录类别	CPCI ; CPCI-S ; EI
语种	英语
WOS研究方向	Energy & Fuels ; Engineering
WOS类目	Energy & Fuels ; Engineering, Electrical & Electronic
WOS记录号	WOS:000458721400124
出版者	IEEE
EI入藏号	20190806536696
EI主题词	Data handling ; Real time systems ; State estimation
EI分类号	Energy Resources and Renewable Energy Issues:525.1 ; Digital Computers and Systems:722.4 ; Data Processing and Image Processing:723.2 ; Control Systems:731.1
原始文献类型	Proceedings Paper
来源库	IEEE
引用统计	正在获取...
文献类型	会议论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/29639
专题	信息科学与技术学院_PI研究组_刘宇组
通讯作者	Xie, Boqi
作者单位	1.Georgia Inst Technol, Sch Elect & Comp Engn, Atlanta, GA 30332 USA 2.ShanghaiTech Univ, Sch Informat Sci & Technol, Shanghai 201210, Peoples R China
推荐引用方式 GB/T 7714	Xie, Boqi,Meliopoulos, A. P. Sakis,Zhong, Chiyang,et al. Distributed Quasi-Dynamic State Estimation Incorporating Distributed Energy Resources[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2018.