Publication
Optimal energy management of a microgrid system
| datacite.subject.fos | Engenharia e Tecnologia::Engenharia do Ambiente | pt_PT |
| dc.contributor.advisor | Pereira, Ana I. | |
| dc.contributor.advisor | Lima, José | |
| dc.contributor.advisor | Boukli-Hacene, Fouad | |
| dc.contributor.author | Amoura, Yahia | |
| dc.date.accessioned | 2021-07-14T14:12:52Z | |
| dc.date.available | 2021-07-14T14:12:52Z | |
| dc.date.issued | 2021 | |
| dc.description | Mestrado de dupla diplomação com École Superieure en Sciences Appliquées | pt_PT |
| dc.description.abstract | A smart management strategy for the energy ows circulating in microgrids is necessary to economically manage local production and consumption while maintaining the balance between supply and demand. Finding the optimum set-points of the various generators and the best scheduling of the microgrid generators can lead to moderate and judicious use of the powers available in the microgrid. This thesis aims to apply an energy management system based on optimization algorithms to ensure the optimal control of microgrids by taking as main purpose the minimization of the energy costs and reduction of the gas emissions rate responsible for greenhouse gases. Two approaches have been proposed to nd the optimal operating setpoints. The rst one is based on a uni-objective optimization approach in which several energy management systems are implemented for three case studies. This rst approach treats the optimization problem in a uni-objective way where the two functions price and gas emission are treated separately through optimization algorithms. In this approach the used methods are simplex method, particle swarm optimization, genetic algorithm and a hybrid method (LPPSO). The second situation is based on a multiobjective optimization approach that deals with the optimization of the two functions: cost and gas emission simultaneously, the optimization algorithm used for this purpose is Pareto-search. The resulting Pareto optimal points represent di erent scheduling scenarios of the microgrid system. | pt_PT |
| dc.description.abstract | Uma estrat egia de gest~ao inteligente dos uxos de energia que circulam numa microrrede e necess aria para gerir economicamente a produ c~ao e o consumo local, mantendo o equil brio entre a oferta e a procura. Encontrar a melhor programa c~ao dos geradores de microrrede pode levar a uma utiliza c~ao moderada e criteriosa das pot^encias dispon veis na microrrede. Esta tese visa desenvolver um sistema de gest~ao de energia baseado em algoritmos de otimiza c~ao para assegurar o controlo otimo das microrredes, tendo como objetivo principal a minimiza c~ao dos custos energ eticos e a redu c~ao da taxa de emiss~ao de gases respons aveis pelo com efeito de estufa. Foram propostas duas estrat egias para encontrar o escalonamento otimo para funcionamento. A primeira baseia-se numa abordagem de otimiza c~ao uni-objetivo no qual v arios sistemas de gest~ao de energia s~ao implementados para tr^es casos de estudo. Neste caso o problema de otimiza c~ao e baseado na fun c~ao pre co e na fun c~ao emiss~ao de gases. Os m etodos de otimiza c~ao utilizados foram: algoritmo simplex, algoritmos gen eticos, particle swarm optimization e m etodo h brido (LP-PSO). A segunda situa c~ao baseia-se numa abordagem de otimiza c~ao multi-objetivo que trata a otimiza c~ao das duas fun c~oes: custo e emiss~ao de gases em simult^aneo. O algoritmo de otimiza c~ao utilizado para este m foi a Procura de Pareto. Os pontos otimos de Pareto resultantes representam diferentes cen arios de programa c~ao do sistema de microrrede. | pt_PT |
| dc.identifier.tid | 202744230 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10198/23725 | |
| dc.language.iso | eng | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | pt_PT |
| dc.subject | Renewable energies | pt_PT |
| dc.subject | Microgrid | pt_PT |
| dc.subject | Hybrid energy system | pt_PT |
| dc.subject | Energy management system | pt_PT |
| dc.subject | Optimization algorithms | pt_PT |
| dc.subject | Set-points | pt_PT |
| dc.subject | Cost | pt_PT |
| dc.subject | Emissions | pt_PT |
| dc.title | Optimal energy management of a microgrid system | pt_PT |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| person.familyName | Amoura | |
| person.givenName | Yahia | |
| person.identifier.ciencia-id | 1C1C-915D-DB4E | |
| person.identifier.orcid | 0000-0002-8811-0823 | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | masterThesis | pt_PT |
| relation.isAuthorOfPublication | 653c4356-dd18-4680-9774-da86a446d0e5 | |
| relation.isAuthorOfPublication.latestForDiscovery | 653c4356-dd18-4680-9774-da86a446d0e5 | |
| thesis.degree.name | Energias Renováveis e Eficiência Energética | pt_PT |
Files
Original bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- Amoura_Yahia.pdf
- Size:
- 4.89 MB
- Format:
- Adobe Portable Document Format