NDLI: A Novel Method for Online Nodal Load Estimation of Middle Voltage Distribution Networks

Content Provider	IEEE Xplore Digital Library
Author	Jianzhong Wu Yixin Yu
Copyright Year	2006
Description	Author affiliation: Sch. of Electr. Eng. & Autom., Tianjin Univ. (Jianzhong Wu; Yixin Yu)
Abstract	A novel method is proposed for solving online nodal load estimation of middle voltage distribution networks systematically. Firstly the solution strategies are introduced, and then the algorithm is presented. The proposed method consists of three phases that are crude load estimation, load forecasting and robust load estimation. Three load allocation methods are offered in crude load estimation phase which can provide crude load values. A case-based fuzzy-neural network is utilized in load forecasting phase for supplying nodal load forecasting values. Robust load estimation has been robustified synthetically in both structure space and measurement space, which can effectively withstand the influence of gross errors and many small errors. The three phases of load estimation cooperate closely and form a closed-cycle information flow. The proposed method can run online and can provide reliable and consistent load data set for control and management of distribution networks
Starting Page	7622
Ending Page	7626
File Size	473300
Page Count	5
File Format	PDF
ISBN	1424403324
DOI	10.1109/WCICA.2006.1713449
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Voltage Phase estimation Load forecasting Robustness Automation Extraterrestrial measurements Electronic mail Intelligent control robust estimation power systems distribution networks load estimation load forecasting
Content Type	Text
Resource Type	Article

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