DocumentCode
570321
Title
Research on component-based approach load modeling based on energy management system and load control system
Author
Zhu, Lin ; Li, Xinran ; Ouyang, Hui ; Wang, Yanan ; Liu, Weijian ; Shao, Kun
Author_Institution
Coll. of Electr. & Inf. Eng., Changsha, China
fYear
2012
fDate
21-24 May 2012
Firstpage
1
Lastpage
6
Abstract
In allusion to the fact that the heavy and inaccuracy workload as well as the problems which are lack of accuracy and practical applicability of model based on conventional component-based approach load modeling, this paper applies the theory of fuzzy C means clustering and pattern recognition, with full use of the power information from consumer side collected by the load control system in power marketing department, to conduct the primary assortment for industry consumer and the choiceness for typical industry consumer. After that, the investigation and statistics of industry parameters of typical consumers should be performed. Associated the substation power information provided by the energy management system (i.e. EMS), from which the industry composition proportion of substation is obtained, with the classic characteristics of electrical equipment, a high efficient component-based approach modeling platform is developed by the proposed method. And now the platform is applied on Hunan power grid.
Keywords
load regulation; pattern recognition; power grids; power system management; power system simulation; substations; Hunan power grid; component-based approach load modeling; component-based approach modeling; electrical equipment; energy management system; fuzzy C means clustering; industry composition proportion; load control system; pattern recognition; power marketing; substation; Energy management; Industries; Load flow control; Load modeling; Object oriented modeling; Servers; Substations; Component-based approach; EMS; Fuzzy clustering; Load control system; Load modeling; Modeling platform; Power system;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Smart Grid Technologies - Asia (ISGT Asia), 2012 IEEE
Conference_Location
Tianjin
Print_ISBN
978-1-4673-1221-9
Type
conf
DOI
10.1109/ISGT-Asia.2012.6303137
Filename
6303137
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