Voltage sag is considered to be the most serious hazard of power quality and can produce a harmful effect in electrical power system stability. Distributed Generation which used in this paper is playing an important role in power system to improve the grid performance. Grid performance and avoiding degradation the power system networks depend probably on the locations of DGs, hence, optimizing the DGs locations are necessary. In this paper Genetic algorithm is used for DGs locations optimization. The type of DG will directly influence the penetration level “size” and the locations of DGs. Three different DGs “synchronous generator, wind turbine and photo voltaic” will be penetrated individually to find their optimum location and compare their performances on the power system grid and investigate their impact in mitigation voltage sag. This approach will be applied on IEEE 13 bus system which is simulated using PSCAD software. Genetic Algorithm is 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% and the overall number of buses experience voltage swell which Matlab software is used for simulation. Finally, Results are analyzed and discussed 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.
Ayman Soliman, Electronics Research Institute, Egypt
This paper is part of the ACSEE2013 Conference Proceedings (View)
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