A Genetic Algorithm Based Approach for Optimal Allocation of Distributed Generations in Power Systems for Voltage Sensitive Loads

Connecting green power sources to power grid are gradually becoming popular. Proper placement and sizing of these energy sources is important in order to obtaining their maximum potential benefits. There have been studies to allocate the DG, in which loads are generally modeled as constant power or constant current types of loads. Since most of the distribution system loads are uncontrolled and dependent on the voltage and frequency of the system. Accordingly in this study a methodology has been presented that uses genetic algorithm to optimally place the DGs in terms of locations and sizes so as to minimize the per unit locational charges for active power at buses by incorporating different voltage dependent static load models. The presence of DG sources at distribution level has changed the characteristics of distribution network from passive to active. Nodal pricing and per unit locational charges often used in the pricing of shortterm operation in transmission are good candidates to consider in distribution. Several simulation studies have been conducted on radial feeder as well as networked systems with single DG and multiple DG separately, subjected to no voltage violation at any of the buses.