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Electricity market and renewable energy integration: An agent-based conceptual model

Title
Electricity market and renewable energy integration: An agent-based conceptual model
Type
Article in International Conference Proceedings Book
Year
2013
Authors
José Carlos Sousa
(Author)
FEUP
João Tomé Saraiva
(Author)
FEUP
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Conference proceedings International
Pages: 101-108
1st International Workshop on Simulation for Energy, Sustainable Development and Environment, SESDE 2013, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2013
Athens, 25 September 2013 through 27 September 2013
Indexing
Publicação em ISI Web of Science ISI Web of Science
Scientific classification
FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering
CORDIS: Technological sciences > Engineering > Electrical engineering
Other information
Authenticus ID: P-009-CK5
Abstract (EN): The emergence of electricity markets and the opportunities consequently created have radically modified the operation planning activities of Power Systems. As direct result, there is the need for developing new methods to meet in an efficient way the requirements of generation companies, so to respond adequately to new challenges such as market competition. Agent-based models have been proposed in the literature as surrogate to equilibrium models when the problem is too complex to be addressed within a traditional equilibrium framework. Driven by this trend, this paper discusses and proposes a conceptual model following the agent paradigm that deals with the inherent complexity of electricity markets. The devised model proved to be robust enough to represent key features of our study domain and is ready to be actually developed in a computational tool to help generation companies to build their short-medium term operation decisions in a more sounded and robust way.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 8
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Operation Planning of Hydro Power Plants Using Agent Based Models (2014)
Article in International Conference Proceedings Book
José Carlos Sousa; João Tomé Saraiva; Rosaldo Rossetti; Zafeiris Kokkinogenis
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