Impact of DG different types on the grid performance

Distributed generation (DG) is playing an important role in power system to improve the grid performance. Optimizing the locations of DGs is necessary to enhance the Grid performance and to avoid the degradation of the power system networks. The type of DG directly influences the penetration level and the placement of DG. In this study, genetic algorithm (GA) technique is proposed to find the optimum location for three different types of distributed generation, these types are synchronous generator, wind turbine and photovoltaic. The obtained results are also validated using Particle Swarm Optimization (PSO). Three different types of DGs will be penetrated individually to find their optimum location and investigate their impact on the grid performance. This approach will be applied on IEEE 13 bus system which is simulated using Power System Computer Aided Design (PSCAD) and Matlab software. GA and PSO are used to find the optimum solution of multi-objective function; the objective function combines the overall number of buses experience voltage sag, the number of buses experience voltage drop, the number of buses experience voltage less than 10%, the overall number of buses experience voltage swell and network power loss. Finally, results are analyzed, discussed and validated which show that the optimum locations of each DG will vary according to the type of DG but all of them will be around the load center. In the mean time, results showed that the highest grid overall performance was for synchronous generator DG and the lowest for photovoltaic DG.