This work proposes a two-stage immune algorithm that embeds the compromise programming to perform multi-objective optimal capacitor placement. A new problem formulation model that involves fuzzy sets to reflect the imprecise nature of objectives and incorporates multiple planning requirements is presented. The proposed approach finds a set of noninferior (Pareto) solutions rather than any singl...

This paper introduces a new stochastic optimization framework based bat algorithm (BA) to solve the optimal distribution feeder reconfiguration (DFR) as well as the shunt capacitor placement and sizing in the distribution systems. The objective functions to be investigated are minimization of the active power losses and minimization of the total network costs an. In order to consider the uncert...

Optimal capacitor allocation in distribution systems has been studied for a long times. It is an optimization problem which has an objective to define the optimal sizes and locations ofcapacitors to be installed.This paper presents a new methodology using particle swarm optimization (PSO) Algorithm for the placement of capacitors on the distribution systems to reduce the power losses and to imp...

The present day ever escalating power demand moves the operating point ofthe distribution networks in vicinity of voltage stability boundaries.Any small reactive unbalance between generation and demandmay trigger instability, which makes magnitude to fallslowly until a rapid change occurs. This paper presents an adaptive dragonflyoptimization based method for placement shunt capacitor banks wit...

<span lang="EN-US">Voltage stability represents one of the main issues in electrical power system. Under voltage load shedding (UVLS) has long been regarded as most successful techniques to prevent collapse. However, ordinary schemes do not consider different models and decreasing ‎economic cost that resulted from disconnection, so dual with reactive compensation are needed. Usually loads...