Aos meus pais, Marcus e Beatriz, meus irmãos, Marcus Jr. e João Augusto, e toda minha família pelo apoio e compreensão todos esses anos. Aos meus irmãozinhos, Joe, a quem dedico este trabalho, Zora, Zelda e Jack por tantos anos de diversão. A Ebony por todo o seu amor e apoio que me fazem tão feliz. A todos os meus amigos que me acompanharam e incentivaram a seguir os estudos. Aos professores João Bosco, Madeleine e Virgílio, que tanto contribuíram em minha formação. A todos os demais professores e colegas da Universidade de São Paulo e da Universidade Federal do Triângulo Mineiro que contribuíram na realização deste trabalho.
This paper describes a particle swarm optimization-based method of multi-objective optimal phasor measurement unit's allocation in transmission systems. The allocation problem can be modeled in the binary domain and equated in to work with mono objective meta-heuristics without ignoring its multi-objective nature. Although the particle swarm optimization is more suited for continuous domain problems, with some adaptations, it can also perform well in allocation problems using few iterations. The algorithm and problem modeling adaptations, test systems' results and comparison with other algorithms in literature are presented and exhibits promising results for optimal monitor allocation in small and medium sized transmission systems.
Distributed Generators (DGs) have been used to improve quality and reliability of service in Distribution Systems (DSs). They can be used to reduce faults impact on System Average Interruption Duration Index by allowing the minimization of healthy out-ofservice (OFS) loads after the occurrence of permanent faults. IEEE also encourages power supply companies and customers to restore OFS loads by intentional islanding. This paper proposes a modification in recently proposed Multi-Objective Evolutionary Algorithm (MOEA) in subpopulation tables to combine intentional islanding of DGs with network reconfiguration to maximize restoration of OFS loads. The idea is to force intentional islanding whenever OFS heathy areas can be fully supplied by DGs. Simulation results (with a DS presented in the literature) have demonstrated the reliability of the MOEA new version to deal with service restoration problem in the presence of DGs.
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