Hour-ahead energy resource scheduling optimization for smart power distribution networks considering local energy market
Energy resource management is a concept that should be considered in energy systems due to the significant penetration of dispersed energy resources. Thus, the efficiency in the electrical network operation can be improved and the end-user costs reduced. In this way, an energy resource aggregator pl...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-06-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722005005 |
| _version_ | 1818509528114659328 |
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| author | Bruno Canizes João Soares José Almeida Zita Vale |
| author_facet | Bruno Canizes João Soares José Almeida Zita Vale |
| author_sort | Bruno Canizes |
| collection | DOAJ |
| description | Energy resource management is a concept that should be considered in energy systems due to the significant penetration of dispersed energy resources. Thus, the efficiency in the electrical network operation can be improved and the end-user costs reduced. In this way, an energy resource aggregator plays an important role in managing the demand and generation flexibility which is meant for small producers under market-oriented environments. This research paper presents an energy resource management in intraday (hour-ahead) time horizon considering local market transactions between players. The optimization model is formulated as mixed-integer linear programming and solved in a deterministic way. To exemplify the implementation of the proposed model, a realistic medium voltage distribution network with 180 buses, high penetration of distributed energy resources, energy storage systems, and electric vehicle charging stations is considered. The results show the impact of the forecast errors as well as the contractual constraints between the aggregator and energy storage systems and electric vehicle charging stations in the intraday scheduling costs. |
| first_indexed | 2024-12-10T22:46:40Z |
| format | Article |
| id | doaj.art-206e92b7ad814aac9ea1723b75a65713 |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-12-10T22:46:40Z |
| publishDate | 2022-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-206e92b7ad814aac9ea1723b75a657132022-12-22T01:30:33ZengElsevierEnergy Reports2352-48472022-06-018575582Hour-ahead energy resource scheduling optimization for smart power distribution networks considering local energy marketBruno Canizes0João Soares1José Almeida2Zita Vale3GECAD Research Center, R. Dr. António Bernardino de Almeida 431, Porto, Portugal; Corresponding author.GECAD Research Center, R. Dr. António Bernardino de Almeida 431, Porto, PortugalGECAD Research Center, R. Dr. António Bernardino de Almeida 431, Porto, PortugalPolytechnic of Porto, Porto, PortugalEnergy resource management is a concept that should be considered in energy systems due to the significant penetration of dispersed energy resources. Thus, the efficiency in the electrical network operation can be improved and the end-user costs reduced. In this way, an energy resource aggregator plays an important role in managing the demand and generation flexibility which is meant for small producers under market-oriented environments. This research paper presents an energy resource management in intraday (hour-ahead) time horizon considering local market transactions between players. The optimization model is formulated as mixed-integer linear programming and solved in a deterministic way. To exemplify the implementation of the proposed model, a realistic medium voltage distribution network with 180 buses, high penetration of distributed energy resources, energy storage systems, and electric vehicle charging stations is considered. The results show the impact of the forecast errors as well as the contractual constraints between the aggregator and energy storage systems and electric vehicle charging stations in the intraday scheduling costs.http://www.sciencedirect.com/science/article/pii/S2352484722005005AggregatorElectric vehiclesEnergy resources managementLocal energy marketHour-aheadSmart distribution network |
| spellingShingle | Bruno Canizes João Soares José Almeida Zita Vale Hour-ahead energy resource scheduling optimization for smart power distribution networks considering local energy market Energy Reports Aggregator Electric vehicles Energy resources management Local energy market Hour-ahead Smart distribution network |
| title | Hour-ahead energy resource scheduling optimization for smart power distribution networks considering local energy market |
| title_full | Hour-ahead energy resource scheduling optimization for smart power distribution networks considering local energy market |
| title_fullStr | Hour-ahead energy resource scheduling optimization for smart power distribution networks considering local energy market |
| title_full_unstemmed | Hour-ahead energy resource scheduling optimization for smart power distribution networks considering local energy market |
| title_short | Hour-ahead energy resource scheduling optimization for smart power distribution networks considering local energy market |
| title_sort | hour ahead energy resource scheduling optimization for smart power distribution networks considering local energy market |
| topic | Aggregator Electric vehicles Energy resources management Local energy market Hour-ahead Smart distribution network |
| url | http://www.sciencedirect.com/science/article/pii/S2352484722005005 |
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