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Paulo E. T. Martins
Departamento de Engenharia Elétrica e de Computação, Universidade de São Paulo (USP), São Carlos, SP
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Mário Oleskovicz
Departamento de Engenharia Elétrica e de Computação, Universidade de São Paulo (USP), São Carlos, SP
Keywords:
Power Quality Meters, Fault Location, Short-circuits, Voltage Sags, Allocation of Meters
Abstract
This paper presents a Binary Integer Linear Programming (BILP) formulation for the problem of optimal allocation of meters, considering two objectives: minimizing the number of meters and maximizing the number of identifiable faults. The problem was tested on a 15-bus European Medium Voltage System of CIGRÉ, considering the inclusion of a distributed generator and the possibility of operating the system as a weekly meshed network. The optimization problem was solved through the Algorithm for Bicriteria Discrete Optimization (ABCDO), to obtain an exact Pareto Front. Next, the Nondominated Sorting Genetic Algorithm (NSGA-II) was used to find different equivalent solutions for each Pareto Front point. The meter allocations obtained were used to feed a fault locating algorithm based on voltage measurements. The results presented allocations with one or two meters, reaching hit rates in the fault location close to 90%. Further, this work found optimal positions for the meters regardless of the topology variations, which is interesting for the application in modern distribution networks.
