Abstract:

The mushrooming Distributed and Dispersed generation units are extending their supporting hands towards meeting the growing demands of the consumers day to day. But the efficient usage of the generators units is possible only if they are optimally located and sized. The aim of this project is to determine the optimal location and also the size of the distributed generation units to reduce the power losses in the system. Using pre-determined sensitivity indices, the distributed generation location is located. Sensitivity indices identify the most critical locations in the system where the installation of distributed generation can have the greatest impact on reducing power losses. By analyzing the sensitivity indices, the optimal locations for installing distributed generation can be identified. Genetic algorithm[10] is used to determine the optimal size of the distributed generation to minimize power losses. A computational method known as a "genetic algorithm" uses natural selection and evolution to optimize a solution. It is a powerful tool which finds the optimal solution in a large search space. MATLAB software is used to run the simulation. The loading of the distributed generation at the suggested location and size is able to generate the best results in terms of improving the voltage profile and minimising power loss, according to the numerical simulation.

Description:

Distributed generation, Genetic Algorithm, Voltage Stability Index