Santiago Bernal-del Río, Riccardo Mereu, Juan Carlos Rivera, Gilberto Osorio-Gómez
{"title":"Optimization of Photovoltaic and Wind Energy Sources Sizing for Home Requirements in Non-interconnected Zones: A Colombian Case Study","authors":"Santiago Bernal-del Río, Riccardo Mereu, Juan Carlos Rivera, Gilberto Osorio-Gómez","doi":"10.12720/sgce.12.4.111-117","DOIUrl":null,"url":null,"abstract":": This document proposes a sustainable strategy for implementing different Non-Conventional Renewable Energy (NCRE) Sources in Non-Interconnected Zones to satisfy the most significant energy demand in these areas. The proposed approach establishes an optimization model to minimize the Loss Probability of Power Supply (LPSP) and improve the cost-benefit ratio of electricity generation with NCRE, considering different constraints, such as demand, technology costs, available environmental resources, energy storage, and technical limitations. A genetic algorithm that minimizes an objective function dependent on the LPSP and the Levelized Cost of Energy (LCOE) is developed, considering the energy models of a hybrid system composed of solar panels, horizontal axis wind turbines, and an energy storage system. The meteorological conditions for the study area, such as radiation, wind speed, and temperature, are considered, as well as the technical specifications of different models of the systems, to arrive at a solution that allows selecting the best alternatives for a user who wants to implement renewable energy in his household.","PeriodicalId":495173,"journal":{"name":"International Journal of Smart Grid and Clean Energy","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Smart Grid and Clean Energy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12720/sgce.12.4.111-117","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
: This document proposes a sustainable strategy for implementing different Non-Conventional Renewable Energy (NCRE) Sources in Non-Interconnected Zones to satisfy the most significant energy demand in these areas. The proposed approach establishes an optimization model to minimize the Loss Probability of Power Supply (LPSP) and improve the cost-benefit ratio of electricity generation with NCRE, considering different constraints, such as demand, technology costs, available environmental resources, energy storage, and technical limitations. A genetic algorithm that minimizes an objective function dependent on the LPSP and the Levelized Cost of Energy (LCOE) is developed, considering the energy models of a hybrid system composed of solar panels, horizontal axis wind turbines, and an energy storage system. The meteorological conditions for the study area, such as radiation, wind speed, and temperature, are considered, as well as the technical specifications of different models of the systems, to arrive at a solution that allows selecting the best alternatives for a user who wants to implement renewable energy in his household.