Distributed generations planning in distribution networks using genetic algorithm-based multi-objective optimization

The role of distributed generations (DGs) in a modern scenario is very useful for improving the system performances indexes like minimization of the total real and reactive power losses (ILP, and ILQ) of the system, voltage profile improvement (IVD), better voltage regulation (IVR), increasing the short circuit current capacity (ILC) and apparent power intake in the distribution networks. In this paper the novelty of the DGs are placed and sized with genetic algorithm (GA) in distribution network for improving system performance indexes. The system performance indexes such as ILP, ILQ, IVD, ILC, and IVR are considered for the planning of DGs. In this proposed work, 16-bus, 37-bus, 69-bus test systems is considered as a test systems, and constant impedance (Z), current (I), and power (P) load models is considered as a load. The proper placing of DGs in the distribution networks meets the challenge of more demand for electricity which can be achieved with enhanced load ability of the system with voltage stability and frequency stability also.