2010
DOI: 10.1109/tpwrs.2010.2042734
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Multiobjective Optimization and Fuzzy Logic Applied to Planning of the Volt/Var Problem in Distributions Systems

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Cited by 96 publications
(40 citation statements)
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“…There have been numerous proposed methods [8][9][10][11][12][13][14], numerous studies of deployed systems [13][14][15][16][17][18][19][20], and many vendors offer CVR based systems [23][24][25][26]. For the purposes of this analysis, a CVR scheme that has been published in the IEEE Transactions on Power Systems and is openly available has been selected [11].…”
Section: Methods Of Conservation Voltage Reductionmentioning
confidence: 99%
“…There have been numerous proposed methods [8][9][10][11][12][13][14], numerous studies of deployed systems [13][14][15][16][17][18][19][20], and many vendors offer CVR based systems [23][24][25][26]. For the purposes of this analysis, a CVR scheme that has been published in the IEEE Transactions on Power Systems and is openly available has been selected [11].…”
Section: Methods Of Conservation Voltage Reductionmentioning
confidence: 99%
“…The PT categorizations have designated in this paper by DG placement (DGP) . Followed by VAR compensation and power quality (VPQ) [53][54][55][56][57][58][59][60][61][62][63][64][65][66][67][68][69][70]. Moreover, component (protection and automation devices) placement, modern grid reinforcement and upgrades (CRU) [71][72][73][74][75][76][77][78][79][80][81][82][83][84][85][86][87][88][89].…”
Section: Paper Contributionmentioning
confidence: 99%
“…The Multi-objective genetic algorithm (SPEA2) incremented by fuzzy logic is used in [6] to control automatic voltage regulators (AVRs) banks and capacitors in distribution systems for different load conditions, dealing with the combinatorial multi-objective optimization problem. Reference [7] presents a PSO-based (particle swarm optimization) optimization approach to find the optimal dispatch of a ULTC, substation capacitors, and feeder capacitors for volt/VAR control in a distribution system.…”
Section: Introductionmentioning
confidence: 99%