Multi-objective evolutionary algorithm in tables for placement of SCADA and PMU considering the concept of Pareto Frontier

Autor: Julio A. D. Massignan, Alexandre C. B. Delbem, Marcos Paulo Vigliassi, Joao B. A. London
Rok vydání: 2019
Předmět:
Zdroj: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
ISSN: 0142-0615
DOI: 10.1016/j.ijepes.2018.10.026
Popis: The main concern of Metering Systems Planning (MSP) for state estimation is the determination of the number, type and location to install metering devices to attend performance requirements related to observability and measurement redundancy. Due to financial constraints, the MSP is a multi-objective, combinatorial optimization problem, which involves conflicting objectives of investment cost and performance requirements. This paper proposes a multi-objective formulation for the MSP problem and a method for its solution. The method combines a Multi-Objective Evolutionary Algorithm based on subpopulation tables with the properties of the so-called HΔ matrix. The method can solve the MSP problem considering the existence of only measurements from supervisory control and data acquisition system, only from Phasor Measurement Units (PMUs) or both types of measurements. Using the concept of Pareto Frontier the method enables the project of reliable metering systems (those guaranteeing system observability during normal operating conditions and in the presence of contingency situations that cause the loss of one or two measurements or one remote terminal unit or one PMU) and other three types of metering systems with different performance requirements and costs in only one execution. Simulation results with IEEE test systems and a Brazilian system validate the paper propositions.
Databáze: OpenAIRE
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