A novel index and hybrid optimization approach for optimal placement of multiple DGs in reconfigured distribution networks
A novel approach is anticipated in this paper for optimal feeder reconfiguration and placement of DG units in distribution system with an objective of reduction of real power losses while satisfying operating constraints. Selective Particle Swarm Optimization algorithm (SPSO), modified version of Binary Particle Swarm Optimization algorithm, is used to obtain reconfigured distribution network. A novel analytical technique has been proposed to solve DG placement problem. The proposed analytical technique for optimal DG placement is developed based on a new mathematical formulation. Type-I and type-II DG units are used here. The results of the proposed technique are validated on IEEE 69 bus distribution system. The level of DG penetration is also considered in a range of 0–50% of total system load. A novel index is also proposed which incorporates level of DG penetration and % reduction in real power losses. The results are promising when compared with recently proposed algorithms.