Methodology for monitoring voltage SAGs and SWELLs in power systems. / Metodologia para a monitoração eficiente de variações de tensão de curta duração em sistemas elétricos de potência.

AUTOR(ES)
DATA DE PUBLICAÇÃO

2007

RESUMO

This dissertation presents a methodology based on Genetic Algorithms and Fuzzy Mathematical Programming to determine the optimum number of power quality monitors and the locations they should be installed to measure Voltage Sags and Swells in transmission power networks. The methodology developed represents a tool for planning power networks, because it indicates the best way to allocate the power quality monitors, considering economical constraints. Similar to this, the methodology also determines the best configuration for a monitoring system when there are important busses to monitor and the number of monitors available is lower than the minimal needed to accomplish completely Observability. The work presented here also represents an important Genetic Algorithms application. With fuzzy mathematical programming it easily allows the definition of aspects to be considered in the monitoring problem and quickly suggests the best way to attend different objectives and operational restrictions. In order to validate the developed model proposed in this dissertation three electric power networks are assessed to determine the minimum number of power quality monitors as well as the locations where these devices should be installed. The levels of Redundancy and Observability are presented as well as the formulations used to achieve the results.

ASSUNTO(S)

sistemas de potência alocação de medidores monitors location qualidade de energia algoritmos genéticos fuzzy theory power quality power systems teoria dos conjuntos fuzzy genetic algorithms

ACESSO AO ARTIGO

Documentos Relacionados