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A virtual reservoir electricity market design applied to the Brazilian system using an Agent Based Model

Title
A virtual reservoir electricity market design applied to the Brazilian system using an Agent Based Model
Type
Article in International Conference Proceedings Book
Year
2015
Authors
Felipe Alves Calabria
(Author)
FEUP
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João Tomé Saraiva
(Author)
FEUP
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Conference proceedings International
Pages: 1-5
12th International Conference on the European Energy Market
Lisboa, 19 a 22 de Maio de 2015
Indexing
Publicação em ISI Proceedings ISI Proceedings
Publicação em ISI Web of Knowledge ISI Web of Knowledge - 0 Citations
Publicação em ISI Web of Science ISI Web of Science
INSPEC
Scientific classification
FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering
CORDIS: Technological sciences > Engineering > Electrical engineering
Other information
Authenticus ID: P-00K-Q9X
Abstract (EN): This paper discusses the current Brazilian electricity market, brings out some dilemmas that should be examined in order to implement a more market-oriented approach, and describes a new market design to overcome these issues. The proposed market design is based on virtual reservoirs and aims at enhancing the flexibility to enable market participants to comply with their contracts, while still ensuring the efficient use of the water and maintaining the current level of the security of supply. In addition, to simulate the behavior of the market participants in this new framework, an Agent-Based Model - ABM where agents use reinforcement Q-Learning - is developed and applied to a case study that includes a centralized dispatch as currently exists in Brazil. The results obtained so far show that this new design is suitable to allow hydros managing their commercial contract commitments with extra flexibility.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 5
License type: Click to view license CC BY-NC
Documents
File name Description Size
EEM15_FelipeCalabria_final 90.58 KB
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