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Publication Type : Journal Article
Publisher : IEEE Transactions on Power Delivery
Source : IEEE Transactions on Power Delivery, vol. 30, pp. 1677-1685, 2015.
Keywords : active power demand, annual energy loss reduction, bus voltage, Clustering algorithms, DG, Distributed generation (DG), Distributed power generation, distribution line system reconfiguration, distribution system reconfiguration, DSR, Energy loss, energy losses, fuzzy C-means clustering, fuzzy C-means clustering algorithm, fuzzy set theory, genetic algorithm (GA), Integer programming, load flow, load variability, minimisation, Minimization, mixed integer nonlinear programming optimization problem, nonlinear programming, Optimization, pattern clustering, power balance, power distribution lines, power grid automation, Power grids, power loss minimization, Reactive power, reactive power demand, Switches, variable distributed generation profiles
Campus : Amritapuri
School : School of Engineering
Department : Electrical and Electronics
Year : 2015
Abstract : In this paper, a new formulation for distributionsystem reconfiguration (DSR) is proposed for minimizing theannual energy losses considering the variability in active andreactive power demand and distributed generation (DG) profiles.A fuzzy C-means clustering algorithm is used to obtain representativecentroids from annual DG and power demand profiles.The DSR study is formulated as a mixed-integer nonlinear programmingoptimization problem and tested on a 33-bus and an84-bus system. The minimization is subject to the power balance,bus voltage, and distribution system radiality constraints. Usingthis formulation, a single optimum configuration that minimizesannual energy losses is found and shown to be different fromthe optimum configuration, found in previous literature, whichfocuses on minimizing power losses at peak or average loads. Inaddition, the prospective advantages of grid automation on DSRare demonstrated to provide further energy loss reduction byincluding the possibility of interchanging a predefined number ofconfigurations that minimize annual energy losses.
Cite this Research Publication : A. M. Tahboub, Dr. V. Ravikumar Pandi, and Zeineldin, H. H., “Distribution System Reconfiguration for Annual Energy Loss Reduction Considering Variable Distributed Generation Profiles”, IEEE Transactions on Power Delivery, vol. 30, pp. 1677-1685, 2015.