Combinatorial optimization algorithm with coordínate search method to lócate and size distributed generation plants in a radial distribution electrical system

This work developed a hybrid optimization algorithm called Combinatorial Optimization with a Coordínate Search Method, which allows for finding the optimal locations and capacities of distributed generation plants in an electrical distribution network. The algorithm was validated in the IEEE 69-bus test system, compared with the Elephant Herding Optimization method. Three scenarios were defined that were executed on the test system. In the first scenario, up to four distributed generation plants were located, reducing the value of the objective function to 0.0177. In the second scenario, satisfactory solutions were found that satisfied critical voltage and current restraints in the electrical system. All stresses were between 1.00 and 1.05 per unit for the first case. In the second case, two lines had the maximum current to flow through them limited to 1.00 ampere. In the third scenario, the algorithm was executed in the presence of capacitor banks. In this case, satisfactory results were also obtained, with reagent consumption in one of the distributed generation plants.