HYRES: A Multi-Objective Optimization Tool for Proper Configuration of Renewable Hybrid Energy Systems

Katheryn Donado, Loraine Navarro, Christian G. Quintero M. and Mauricio Pardo
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Katheryn Donado: Dept. of Electrical and Electronics Engineering, Universidad del Norte, Barranquilla 081007, Colombia
Loraine Navarro: Dept. of Electrical and Electronics Engineering, Universidad del Norte, Barranquilla 081007, Colombia
Christian G. Quintero M.: Dept. of Electrical and Electronics Engineering, Universidad del Norte, Barranquilla 081007, Colombia
Mauricio Pardo: Dept. of Electrical and Electronics Engineering, Universidad del Norte, Barranquilla 081007, Colombia

Energies, 2019, vol. 13, issue 1, 1-20

Abstract: This paper presents the Hybrid Renewable Energy System (HYRES), a powerful tool to contribute to the viability analysis of energy systems involving renewable generators. HYRES considers various input parameters related to climatic conditions, statistical reliability, and economic views; in addition to offering multi-objective optimizations using Genetic Algorithms (GAs) that have a better cost-benefit ratio than mono-objective optimization, which is the technique used in several commercial systems like HOMER, a worldwide leader in microgrid modeling. The use of intelligent techniques in HYRES allows optimal sizing of hybrid renewable systems with wind and solar energy generators adapted to different conditions and case studies. The elements that affect the system design like buying and selling energy from/to the grid and the use of storage units can be included in system configuration according to the need. Optimization approaches are selectable and include Initial Cost, Life Cycle Cost, Loss of Power Probability, and Loss of Power Supply Probability.

Keywords: adaptability; computational tool for renewable systems; genetic algorithms; hybrid wind-solar energy system; reliability; multi-objective optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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