2008
DOI: 10.1109/tpwrd.2007.911185
|View full text |Cite
|
Sign up to set email alerts
|

Genetically Optimized Fuzzy Placement and Sizing of Capacitor Banks in Distorted Distribution Networks

Abstract: Abstract-A genetic algorithm (GA), in conjunction with fuzzy logic (FL) (approximate reasoning), is proposed for simultaneous improvement of power quality (PQ) and optimal placement and sizing of fixed capacitor banks in distribution networks with nonlinear loads imposing voltage and current harmonics. Economic cost is defined as the objective function and includes the cost of power losses, energy losses, and that of the capacitor banks while the voltage limits, number/size of installed capacitors at each bus,… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
65
0
2

Year Published

2012
2012
2023
2023

Publication Types

Select...
6
2

Relationship

0
8

Authors

Journals

citations
Cited by 56 publications
(67 citation statements)
references
References 23 publications
0
65
0
2
Order By: Relevance
“…A four-stage methodology based on SA, GA, TS and the hybrid GA-Fuzzy logic algorithm to solve a combinatorial optimization problem with a non-differential objective function is presented in [55]. The solution methodologies are preceded by a sensitivity analysis to select the candidate capacitor installation locations.…”
Section: Hybrid Artificial Intelligent Techniquesmentioning
confidence: 99%
“…A four-stage methodology based on SA, GA, TS and the hybrid GA-Fuzzy logic algorithm to solve a combinatorial optimization problem with a non-differential objective function is presented in [55]. The solution methodologies are preceded by a sensitivity analysis to select the candidate capacitor installation locations.…”
Section: Hybrid Artificial Intelligent Techniquesmentioning
confidence: 99%
“…Many methods have been proposed to analyze and eliminate the harmonic impact produced by nonlinear loads [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]. Among them, harmonic analysis is one of the most powerful tools for harmonic impact analysis.…”
Section: Introductionmentioning
confidence: 99%
“…Owing to the unbalanced line sections and loads in distribution systems, a three-phase harmonic analysis method is essential to accurately analyze the harmonic impact on distribution systems [7][8][9][10][11][12]. The harmonic analysis is also the basic tool for harmonic filter design and harmonic resonance mitigation and has to be done repeatedly for each harmonic order [13][14][15][16]; therefore, the accuracy and efficiency are both important issues for a well-designed harmonic analysis method. Conventional harmonic analysis methods [7][8][9][10][11] don't consider the special topological characteristics of distribution systems such as the unbalanced loads and radial network structure; therefore, the solution accuracy cannot be further improved and computational time cannot be effectively reduced.…”
Section: Introductionmentioning
confidence: 99%
“…However, in radial distribution systems, the presence of harmonic distortion have to be considered for compensating reactive power by adding shunt capacitors. Because the installation of shunt capacitors in the distorted distribution systems can cause resonances, increase active power loss, extensive reactive power demand, and overvoltage, if determining the location and size of capacitors without considering the presence of harmonics in the systems [2].…”
Section: Introductionmentioning
confidence: 99%
“…Many research have taken into account the presence of harmonic current and voltage to optimize the placement and size of shunt capacitors using different methods, such as Genetic Algorithm(GA) [1], Genetic Algorithm with Fuzzy Logic (GA-FL) [2] and Fuzzy Set Theory (FST) [3] in a balanced three-phase systems. Moreover, in unbalanced three-phase system, Particle Swarm Optimization (PSO) [4] and Harmony Search Approach (HSA) [5] have been applied to find the optimal location and size of shunt capacitors in the distorted distribution systems.…”
Section: Introductionmentioning
confidence: 99%