2019-11-202019-11-202018-09-02OLIVEIRA, Victoria Yukie Matsunaga de. Orientadora: Carolina de Mattos Affonso. 2019. 90 f. Orientadora: Carolina de Mattos Affonso. Tese (Doutorado em Engenharia Elétrica) - Instituto de Tecnologia, Universidade Federal do Pará, Belém, 2019. Disponível em: http://repositorio.ufpa.br/jspui/handle/2011/12077. Acesso em:.https://repositorio.ufpa.br/handle/2011/12077This thesis presents a novel Cuckoo Search (CS) algorithm called Cuckoo-GRN (Cuckoo Search with Genetically Replaced Nests), which incorporates the benefits of genetic algorithm (GA) into the CS algorithm. The proposed method handles the abandoned nests from CS more efficiently by genetically replacing them, significantly improving the performance of the algorithm by establishing optimal balance between diversification and intensification. The algorithm is used for the optimal location and size of distributed generation units in a distribution system, in order to minimise active power losses while improving system voltage stability and voltage profile. The allocation of single and multiple distribution generation units is considered. The proposed algorithm is extensively tested in mathematical benchmark functions as well as in the 33-bus and 119-bus distribution systems. Simulation results show that Cuckoo-GRN can lead to a substantial performance improvement over the original CS algorithm and others techniques currently known in literature, regarding not only the convergence but also the solution accuracy.Acesso AbertoSistemas de distribuiçãoGeração distribuída (GD)Algoritmos genéticosCuckoo search (busca de cuco)Substituição genética de ninhosAlocação ótimaDistribution systemsDistribution generationGenetics algorithmsCuckoo searchGenetic replacement of nestsOPtimal allocationTeseCNPQ::ENGENHARIAS::ENGENHARIA ELETRICAINTELIGÊNCIA COMPUTACIONALSISTEMAS DE ENERGIA ELÉTRICA