NDLI: Evolutionary techniques, a sensitivity-based approach for handling discrete variables in reactive power planning

Content Provider	IEEE Xplore Digital Library
Author	Ionescu, C.F. Bulac, C. Eremia, M. Roscia, M.
Copyright Year	2012
Description	Author affiliation: Department of Design and Technology of the University of Bergamo, 5 Marconi Street, 24044 Dalmine, Italy (Roscia, M.) \|\| Electrical Power Systems Department of the University “Politehnica” Bucharest, 313 Spl. Independentei, Romania (Ionescu, C.F.; Bulac, C.; Eremia, M.)
Abstract	The paper proposes an application of an optimization evolutionary technique, improved Differential Evolution, to reactive power planning. This problem could be formulated mathematically as a nonlinear, non smooth, mixed-integer, multi-objective optimization problem. The main objective deals with the minimization of the real power losses that result in a better reactive power dispatch and improving the voltage profile across the system and keeping the control variables in their operational limits. Here we use an approach to deal with discrete variables, Mixed Integer Hybrid Differential Evolution (MIHDE), a modified Differential Evolution algorithm. The proposed approach has been tested in a modified version of two electric networks, the Nordic 32, 60 bus and IEEE 118 bus system.
Starting Page	476
Ending Page	480
File Size	1168324
Page Count	5
File Format	PDF
ISBN	9781467319447
ISSN	21640610
e-ISBN	9781467319430
DOI	10.1109/ICHQP.2012.6381296
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Indexes Planning Educational institutions Optimization MATLAB Computational efficiency Reactive Power Planning Active Power Loss Minimization Mixed Integer Hybrid Differential Evolution
Content Type	Text
Resource Type	Article

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