Adaptive particle swarm optimization approach to simultaneous reconfiguration and shunt capacitor allocation in radial distribution network

Simultaneous radial distribution network reconfiguration (RDNR) and shunt capacitor allocation (SCA) is one of the compensation techniques that are used for getting an improved structure with reduced real power loss enhanced voltage stability. This study presents a novel adaptive particle swarm optimisation (APSO) technique simultaneous RDNR SCA, which complex nonlinear problem. Unlike conventional optimization (PSO) in initial population particles randomly generated, fundamental loop concept to populate search space APSO candidate branches each tie switch (open branch) loop. The preselected graph theory. done mitigate infeasible configurations process also ensure conditions radiality satisfied. effectiveness proposed SCA demonstrated on standard IEEE 33-bus Nigerian Ayepe 34-bus RDNs using six event cases. efficacy further validated comparison observed simulation results reported similar work implemented established algorithms like binary (IBPSO), modified pollinated flower algorithm (MFPA) mixed integer linear programming (MILP). result comparative reveals outperforms selected most considered