Title :
Network reconfiguration for loss reduction with distributed generations using PSO
Author :
Dahalan, W.M. ; Mokhlis, H.
Author_Institution :
Dept. of Marine Electr. Eng., Univ. Kuala Lumpur Malaysian Inst. of Marine Eng. Technol., Kuala Lumpur, Malaysia
Abstract :
This paper presents an effective method based on Particle Swarm Optimization (PSO) to identify the switching operation plan for feeder reconfiguration and optimum value of DG size simultaneously. The main objective is to reduce the real power losses and improve the bus voltage profile in the system while satisfying all the distribution constraints. A method based on PSO algorithm to determine the minimum configuration is presented and their impact on the network real power losses and voltage profiles are investigated. To demonstrate the validity of the proposed algorithm, computer simulations are carried out on 33 bus systems and the results are presented and compare with the Genetic Algorithm (GA) method.
Keywords :
distributed power generation; particle swarm optimisation; 33 bus systems; PSO; bus voltage profile; distributed generations; distribution constraints; feeder reconfiguration; loss reduction; network reconfiguration; optimum value; particle swarm optimization; power losses; switching operation plan; Algorithm design and analysis; Conferences; Distributed power generation; Particle swarm optimization; Power systems; Sociology; Statistics; Loss Reduction and Distributed Generation; Particle Swarm Optimization; Reconfiguration;
Conference_Titel :
Power and Energy (PECon), 2012 IEEE International Conference on
Conference_Location :
Kota Kinabalu
Print_ISBN :
978-1-4673-5017-4
DOI :
10.1109/PECon.2012.6450331