The population is speeding up and the demands for electrical energy are clearly increasing, this growth in load leads to higher power loss and Voltage drop. This paper is focused on a method to decrease the power losses and voltage profile improvement. The first suggested technique binary particle swarm optimization (BPSO) is utilized for solving the problem of the power loss minimization in network distribution. This work based on optimum position and sizing of the distribution generation (DG) units, shunt capacitor (SC) with network reconfiguration is applied to show the improvement of the network distribution efficiency. The MATLAB programming part and software package MATPOWER7 are used to simulate 69-bus and 33-bus test system with three different cases of loads and different number of DG and SC. The result showed a positive impact on system efficiency in comparison with other previous studies. This paper showed that increase of DG and capacitor does not usually give the best result although the increase of system cost, maintenance, and the units' distance for gas supplying.
The aim of this work is obtaining the optimal power flow for the Iraqi distribution network represented by AlRUSTAMIYA_Feeder09, through adding the capacitors to the system in order to reach the best improvement of voltage profile and power losses reduction. . A Fuzzy Logic (FLC)-Particle Swarm Optimization (PSO) controller was proposed to detect the optimal location and size of the capacitor banks in electrical distribution system. Three load variation levels were considered during the study those are 60%, 80%, and 100% load variation. From the obtained results it was very clear that the proposed intelligent algorithm was very accurate and efficient for obtaining the optimal location and size of the capacitors in the system.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.