NDLI: A fuzzy logic framework for control of switched capacitors in distribution systems

Content Provider	IEEE Xplore Digital Library
Author	Ramakrishna, G. Rao, N.D.
Copyright Year	1995
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Calgary Univ., Alta., Canada (Ramakrishna, G.; Rao, N.D.)
Abstract	This paper proposes a fuzzy expert system for the multilevel control of switched capacitors installed on a distribution system with a nonconforming load profile. The control objectives are minimization of power system losses without violating the voltage security of the power system. Expert systems enhanced by fuzzy sets are used to determine the control variables corresponding to the given load values. The rules are adapted using a neural learner to build the rule set and train the membership functions. A load flow determines the corresponding state of the power system. The knowledge base chooses the design from a set of suboptimal solutions obtained from the load flow. The method is based on the application of fuzzy sets to sensitivities in expert systems to refine the solution. Initial trial runs using the above approach on a 30-bus distribution system are very encouraging. Simplicity, processing speed and ability to model load uncertainities make this approach a viable option for online VAr control.
Starting Page	676
Ending Page	679
File Size	421436
Page Count	4
File Format	PDF
ISBN	0780327667
ISSN	08407789
DOI	10.1109/CCECE.1995.526294
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-09-05
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy logic Capacitors Control systems Power system security Power systems Power system control Expert systems Fuzzy sets Load flow Hybrid intelligent systems
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Hardware and Architecture

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