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 contribution | Análisis Multicriterio para Calidad y Confiabilidad en Sistema Eléctrico |
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Original language | English (US) |
Title of host publication | Digital Technology for Smart Grid Innovative Algorithmic Solutions for Engineering Problems |
Publisher | Editorial Universitaria Abya-Yala |
Pages | 56-119 |
Number of pages | 64 |
ISBN (Print) | 978-9978-10-875-8 |
State | Published - 26 Jan 2024 |
Keywords
- Electrical systems
- Energy
- Girei
- Innovative algorithmic solutions
- Network planning
CACES Knowledge Areas
- 317A Electricity and Energy