NDLI: Heuristic Algorithm to Solve the Short Term Transmission Network Expansion Planning

Content Provider	IEEE Xplore Digital Library
Author	Rider, M.J. Gallego, L.A. Romero, R. Garcia, A.V.
Copyright Year	2007
Description	Author affiliation: Dept. of Electr. Energy Syst., State Univ. of Campinas, Campinas (Rider, M.J.)
Abstract	In this paper, a method for solving the short term transmission network expansion planning problem is presented. This is a very complex mixed integer nonlinear programming problem that presents a combinatorial explosion in the search space. In order to find a solution of excellent quality for this problem, a constructive heuristic algorithm is presented in this paper. In each step of the algorithm, a sensitivity index is used to add a circuit (transmission line or transformer) or a capacitor bank (fixed or variable) to the system. This sensitivity index is obtained solving the problem considering the numbers of circuits and capacitors banks to be added (relaxed problem), as continuous variables. The relaxed problem is a large and complex nonlinear programming and was solved through a higher order interior point method. The paper shows results of several tests that were performed using three well-known electric energy systems in order to show the possibility and the advantages of using the AC model.
Starting Page	1
Ending Page	7
File Size	256148
Page Count	7
File Format	PDF
ISBN	142441296X
ISSN	19325517
DOI	10.1109/PES.2007.385441
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-06-24
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Heuristic algorithms Power system planning Mathematical model Reactive power Stability analysis Power transmission lines Distributed parameter circuits Capacitors Propagation losses Process planning mixed integer nonlinear programming Transmission network expansion planning AC model constructive heuristic algorithms
Content Type	Text
Resource Type	Article

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