Multicriteria Analysis for Quality and Reliability in Electrical System

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Chapter 3 presents the multicriteria decision methodology as a practical approach to solving engineering problems that require an optimal joint solution. This method addresses the challenges posed by optimization problems with multiple variables and conflicting objectives or criteria. Multicriteria practices assist in identifying and evaluating a set of solutions, enabling decision-makers to select the best alternative among the contradictory criteria. The chapter describes the proposed multicriteria decision methodology for solving optimization problems in electric power distribution systems. Two practical issues are analyzed as examples: optimal reactive power compensation and optimal placement of reclosing devices. These problems involve analyzing multiple variables related to essential aspects of Electrical Engineering, such as efficiency, reliability, and power quality. The analysis includes power flow calculations and other engineering studies based on the proposed objectives. The method’s effectiveness is demonstrated through its ability to handle the complexities and conflicts among the different variables. In summary, the multicriteria decision methodology is a valuable tool for solving engineering problems that require an optimal solution. Considering multiple variables and their potential conflicts, this method provides decision-makers with alternative solutions and helps them achieve the best balance among the conflicting criteria.
Translated title of the contributionAnálisis Multicriterio para Calidad y Confiabilidad en Sistema Eléctrico
Original languageEnglish (US)
Title of host publicationDigital Technology for Smart Grid Innovative Algorithmic Solutions for Engineering Problems
PublisherEditorial Universitaria Abya-Yala
Pages56-119
Number of pages64
ISBN (Print)978-9978-10-875-8
StatePublished - 26 Jan 2024

Keywords

  • Girei
  • Energy
  • Network planning
  • Electrical systems
  • Innovative algorithmic solutions

CACES Knowledge Areas

  • 317A Electricity and Energy

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