Indian Journal of Science and Technology
Year: 2015, Volume: 8, Issue: 35, Pages: 1-6
Mohammad Mohammadinodoushan1*, Ali Asghar Ghadimi2, Abolfazl Salami3, Hamid Reza Alirezaei1 and Alireza Mohammadi-Nodooshan4
1Electrical Engineering Department, Science and Research Branch, Islamic Azad University, Tehran, Iran; [email protected], [email protected]
2 Electrical Engineering Department, Arak University, Arak, Iran; [email protected]
3 Electrical Engineering Department, Arak University of Technology, Arak, Iran; [email protected]
4 Department of Electrical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran; [email protected]
Background/Objectives: Several advantages of Distributed Generation (DG) have created incentives to increase DG penetration in distribution networks. In order to meet this requirement, Coordinated Reconfiguration and Voltage Control (CRVC) is used in this paper. Methods: To do so, simulations are done in two parts. In the first part, the power loss of a distribution system is decreased through CRVC, and in the second part, DG allowable capacity is increased through CRVC. In order to decrease the computational time for finding the best network configuration and voltage control devices values, modified Binary Particle Swarm Optimization (BPSO) is used. The method has been tested on a 33-bus radial distribution system. Findings and Improvements: Simulation results in both two parts show the efficiency of the method. In the first part, CRVC method could decrease power loss 33%. In the second part, the DG allowable penetration is increased 140% thorough CRVC. This shows that this method is more robust than various techniques that have been proposed to increase DG allowable capacity in the past. Moreover, without using complex voltage control methods, CRVC improved the voltage of all busses considerably. Furthermore, simulations verified the decrease in computational time for reconfiguration which is an important challenge in using reconfiguration.
Keywords: Binary Particle Swarm Optimization, Distributed Generation, Loss Reduction, Reconfiguration, Voltage Control
Subscribe now for latest articles and news.