Leonardo W. Oliveira

Reconfiguração ótima de sistemas de distribuição para minimização de perdas de energia

Este artigo apresenta um algoritmo para a reconfiguracao otima de Sistemas de Distribuicao de Energia Eletrica (SDE), com o objetivo de minimizar a perda total de energia considerando diferentes niveis de carregamento. Trata-se de um problema de programacao nao linear inteira mista onde a variavel discreta e modelada como uma funcao continua. Como consequencia, o problema proposto e resolvido atraves de um algoritmo passo a passo, onde em cada passo e utilizado o Metodo Primal-Dual de Pontos Interiores. Os multiplicadores de Lagrange sao utilizados para compor o indice de sensibilidade no processo de reconfiguracao. O algoritmo proposto e testado em tres sistemas encontrados na literatura.

Planning of Renewable Generation in Distribution Systems Considering Daily Operating Periods

This paper presents an optimization approach for planning of renewable generation in energy distribution systems. The considered generations are based on wind turbines and photovoltaic panels. The objective is to determine the optimal placement of the renewable distributed generation aiming at minimizing the investment and operational costs in a long term planning. The proposed approach represents the stochastic behavior of the renewable resources by handling historical data to determine the wind and photovoltaic capacity factors. The method for obtaining such factors considers the daily load periods, which allows representing the availability of the energetic resources in different periods. The optimization method is based on the bioinspired metaheuristic known as artificial immune system. Two systems of the literature and practical wind and solar data from Brazil are used to assess the proposed approach.

Static transmission network expansion planning of electric power systems using the firefly optimization

This paper proposes a method based on Firefly Optimization (FO) to solve the static transmission network expansion planning (STNEP) of electric power systems. For this purpose, this paper has used heuristics information so as to reduce the search space and therefore increasing the efficiency of the bio-inspired optimization process. The proposed methodology can be divided into two steps: (1) Firstly, the reduced set of routes is obtained through the heuristics information, in order to identify relevant path for expansion and to reduce the search space; (2) The other one, the Firefly Optimization (FO) uses the heuristic information provided by the first step in order to find the minimum expansion investment cost. The proposed methodology is applied to the Garver system and two real equivalent South and Southeastern Brazilian systems.

Fault Classification in Distribution Systems Bsaed on Fault Current Angles

This paper presents an intelligent fault classification scheme to distribution systems by using artificial neural networks associated with fault current angles information. The objective is to classify series, shunt and simultaneous faults with cable either on the source or on the load side. Results show that the scheme is efficient to detect cable disruption, improving distribution system security. The IEEE distribution test feeders are used to show the effectiveness of the proposed approach.

Despacho Econômico com Zonas de Operação Proibidas através de Otimização Bioinspirada

Resumo O Despacho Econômico (DE) é um importante processo no planejamento e operação do sistema elét rico de potência, pois consiste no atendimento à demanda ao menor custo operacional possível. Este trabalho propõe a u tilização da metaheurística bioinspirada Bat Algorithm para solucionar o problema do despacho econômico descontínuo, devido à consideração da Zona de Operação Proibida (ZOP). Alg uns estudos de casos são apresentados para validar a me todologia proposta.