in recent years, in iran and other countries the power systems are going to move toward creating a competition structure for selling and buying electrical energy. these changes and the numerous advantages of dgs have made more incentives to use these kinds of generators than before. therefore, it is necessary to study all aspects of dgs, such as size selection and optimal placement and impact o...

This paper has developed a novel multiobjective function for optimal sizing and sitting ofDistributed Generation (DG) units and capacitor banks in simultaneous mode to improve reliabilityand reduce energy losses. The proposed function consists of four objectives: Cost of Energy NotSupplied (CENS), System Average Interruption Duration Index (SAIDI), costs of energy loss andinvestment. A novel st...

The various optimal capacitor placement techniques on transmission and distributions lines for line losses reduction and enhancement of voltage stability in the power system network have been proposed so far in different papers. Optimal Capacitor placement is an optimization problem which has an objective to define the sizes and locations of capacitors to be installed. This paper focuses on the...

In the most recent heuristic methods, the high potential buses for capacitor placement are initially identified and ranked using loss sensitivity factors (LSFs) or power loss index (PLI). These factors or indices help to reduce the search space of the optimization procedure, but they may not always indicate the appropriate placement of capacitors. This paper proposes an efficient approach for t...

Optimal capacitor placement and network reconfiguration are well-known methods to minimize losses, enhance reliability, improve the voltage profile of electric distribution networks (EDNs). Distribution (DNR) consists altering system topology by changing states ties sectionalizing switches, while optimal capacitors (OPCAs) involves sizing finding location banks within for reactive power control...

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...

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...