Title :
Optimal reconfiguration of electrical distribution network using selective particle swarm optimization algorithm
Author :
Tandon, Ankush ; Saxena, D.
Author_Institution :
Dept. of Electr. Eng., Malaviya Nat. Inst. of Technol. Jaipur, Jaipur, India
Abstract :
This paper presents an effective methodology to optimally reconfigure an electrical distribution network. Selective Particle Swarm Optimization (SPSO) algorithm is proposed to find the optimal combination of switches that results in a radial configuration with minimum system power loss. SPSO is a modified Binary Particle Swarm Optimization (BPSO) with selective search space. Comparative analysis of SPSO with BPSO for network reconfiguration, under four different loading conditions, namely base, light, medium and heavy, on IEEE 69 bus system is presented to demonstrate the suitability of the proposed method. It is observed that SPSO outperforms BPSO in terms of quality of solution, voltage profile, convergence characteristics and time elapsed to complete optimization process.
Keywords :
IEEE standards; distribution networks; particle swarm optimisation; IEEE 69 bus system; SPSO algorithm; base loading condition; binary particle swarm optimization; electrical distribution network; heavy loading condition; light loading condition; medium loading condition; minimum system power loss; modified BPSO; optimal network reconfiguration; radial configuration; selective particle swarm optimization; selective search space; Convergence; Genetic algorithms; Loading; Minimization; Optimization; Particle swarm optimization; Switches; Binary Particle Swarm Optimization (BPSO); Distribution Networks; Network Reconfiguration (NR); Particle Swarm Optimization (PSO); Selective Particle Swarm Optimization (SPSO);
Conference_Titel :
Power, Control and Embedded Systems (ICPCES), 2014 International Conference on
Print_ISBN :
978-1-4799-5910-5
DOI :
10.1109/ICPCES.2014.7062806
