The objective of this study is to solve the simultaneous network reconfiguration and capacitor placement for loss reduction in distribution systems. The work employs a meta-heuristic method called Ant Colony Optimization (ACO). The ACO algorithm tries to emulate the behaviour of real ants by which they are able to identify the shortest path between a food source and their nest. The proposed app...

Optimal reconfiguration and capacitor placement are used to reduce power losses and keep the voltage within its allowable interval in power distribution systems considering voltage, current, and radial condition constraints. It is needed to solve two nonlinear discrete optimization problems simultaneously, so an intelligent algorithm is used to reach an optimum solution for network power losses...

Distribution system planning is extremely important for the end consumers of electricity; it is indeed become necessity to explore the area of real term planning of distribution system. The practical planning of distribution system incorporates the selection of optimal conductor size selection and capacitor placement in radial distribution network in distribution system. The load flow needs to ...

An interactive pareto optimal with advantage (IPOA) approach for bi-objective programming is proposed and applied on capacitor placement and sizing problem. Two main contradictory concerned which including cost and quality properties are considered as bi-objective programming formulation. The IPOA approach can provide a valuable trade-off pareto-optimal solution by following the intention of de...

Network Feeder Reconfiguration is the process of altering the topological structure of distribution feeders by changing the open/closed status of the tie and sectionalizing switches. In this paper, the Network Reconfiguration problem will be formulated as multi objective optimization problem with equality and inequality constraints. The proposed solution is based on optimization algorithms know...

This paper presents a new methodology using fuzzy and Real Coded Genetic Algorithm (RCGA) for the placement of capacitors on the primary feeders of the radial distribution systems to reduce the power losses and to improve the voltage profile. A two-stage methodology is used for the optimal capacitor placement problem. In the first stage, fuzzy approach is used to find the optimal capacitor loca...

A new formulation of bi-objective optimization for the general capacitor placement and sizing problem is presented. The objectives include energy loss reduction, investment cost minimization, and maximum voltage deviation improvement. The operating and expansion constraints of the system are considered for practical needed. Also, both fixed and switched types of capacitors are included. A parti...

The objective of this study is to solve the simultaneous network reconfiguration and capacitor placement for loss reduction in distribution systems. The work employs a meta-heuristic method called Ant Colony Optimization (ACO). The ACO algorithm tries to emulate the behaviour of real ants by which they are able to identify the shortest path between a food source and their nest. The proposed app...

Shunt capacitors are commonly used in distribution system for reactive power compensation. Different analytical, numerical programming, heuristic and artificial intelligent based techniques have been proposed in the literature for optimum shunt capacitor bank (SCB) placement. This paper will present a very detailed overview of optimum SCB placement techniques. Six different approaches of optimu...