Algorithm of inclusion and interchange of variables for capacitors placement

Abril, Ignacio Pérez

doi:10.1016/j.epsr.2017.03.027

Cited by 12 publications

(1 citation statement)

References 32 publications

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“…This work presents a substantial improvement of the variables' inclusion and interchange algorithm (VIIA) for capacitors placement [23] that considers circuits with harmonic distortion. Several load states are considered and fixed and switched capacitors are employed in optimization.…”

Section: Introductionmentioning

confidence: 99%

Capacitors placement in distribution systems with nonlinear load by using the variables’ inclusion and interchange algorithm

Abril

2021

DYNA

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This work presents a substantial improvement of the variables’ inclusion and interchange algorithm (VIIA) for capacitors placement that considers circuits with harmonic distortion. Several load states are considered, and fixed and switched capacitors are employed in optimization. All the pertinent constraints of voltage magnitude, total harmonic distortion, individual harmonic distortion, and of overstress of capacitors are implemented. The here defined global harmonic-distortion index states the distance to the feasibility or the unfeasibility of a solution with respect the harmonic distortion constraints. The inclusion in the sequential quadratic programming sub-problem of an inequality linear constraint on this global harmonic-distortion index, allows the determining of solutions that comply with the harmonic distortion related constraints. A comparison of the solutions of various examples obtained by the presented method with the best solutions obtained by the Matlab’s genetic algorithm shows the effectiveness of this method.

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Section: Introductionmentioning

confidence: 99%

Capacitors placement in distribution systems with nonlinear load by using the variables’ inclusion and interchange algorithm

Abril

2021

DYNA

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Optimal capacitor allocation in distribution networks for minimization of power loss and overall cost using water cycle algorithm and grey wolf optimizer

Sampangi

Jayabarathi

2020

Int Trans Electr Energ Syst

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Summary In recent years, reactive power compensation techniques are receiving more attention across the globe from both the distribution network operators and research groups due to its ability in the reduction of network power loss, voltage deviation, and enhancement of voltage stability. In this paper, two novel and robust optimization techniques implemented for solving optimal capacitor (OC) allocation problem in various distribution networks are water cycle algorithm (WCA) and grey wolf optimizer (GWO). To crisscross the feasibility, GWO and WCA techniques are tested on practical Indian 28‐bus, 47‐bus, and 52‐bus and standard 33‐bus, 69‐bus, and 85‐bus radial distribution networks with uniformly varying load levels. The simulation results obtained by WCA and GWO are compared with other techniques like inclusion and interchange variable (IIV), direct search algorithm (DSA), and teaching and learning–based optimization (TLBO) and found to be better. In addition, from the obtained results, the algorithm's efficiency is evaluated in terms of exploration and exploitation, and convergence characteristics and computational time are discussed.

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Capacitor placement by variables' inclusion and interchange improved algorithm

Abril

2020

Int Trans Electr Energ Syst

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Summary Very diverse optimization methods have been used to determining the optimal capacitor placement in distribution systems. Most of these methods analyze the use of fixed capacitor banks on circuits with only one load state. Other contributions consider the compensation with capacitors switched at different load levels. Almost all previous works represent the load as constant power with respect to voltage variations. This work improves the variables' inclusion and interchange algorithm with a new voltage‐dependent model that considers the variation of active and reactive load with the increase of voltage due to the capacitor placement. The load model used in this work can represent the load by a generalized function of the voltage, in which the constant power load, the constant current load, or the constant impedance load are particular cases. This voltage‐dependent model is the fundamental novelty of the method. The presented algorithm maximizes the annual cost saving in a circuit with several load levels by determining the locations, sizes, and control in time of the needed fixed and switched capacitors. The optimization is constrained with the bounds of minimum and maximum voltages. The capacitor placement solutions proposed by the developed method for various examples of four known circuits are compared with several of the most recently published solutions for these examples. The comparison shows the effectiveness of this method. The solutions obtained for different models of loads show the importance of considering, in the optimization, the load dependence with voltage.

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Algorithm of inclusion and interchange of variables for capacitors placement

Cited by 12 publications

References 32 publications

Capacitors placement in distribution systems with nonlinear load by using the variables’ inclusion and interchange algorithm

Capacitors placement in distribution systems with nonlinear load by using the variables’ inclusion and interchange algorithm

Optimal capacitor allocation in distribution networks for minimization of power loss and overall cost using water cycle algorithm and grey wolf optimizer

Capacitor placement by variables' inclusion and interchange improved algorithm

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