Multi-Layer Agent-Based Decision Making Model with Incomplete Information Game Theory to Study the Behavior of Market Participants for Sustainability

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2015

Autores

Shafie khah, M (Autor) Outra; Catalao, JPS (Autor) FEUP

Ata de Conferência Internacional

Título: 2015 48TH HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES (HICSS)

Páginas: 856-865

48th Annual Hawaii International Conference on System Sciences (HICSS)

Kauai, HI, JAN 05-08, 2015

Indexação

ISI Web of Knowledge - 3 Citações

Scopus - 3 Citações

Outras Informações

ID Authenticus: P-00G-QEH

DOI: 10.1109/hicss.2015.108

Abstract (EN): This paper presents a new stochastic multi-layer agent-based decision making model to study the behavior of market participants in the future smart grid. In the agent-based model proposed, wholesale market players are modeled in the first layer. The players include renewable/sustainable power producers, optimizing the bidding/offering strategies to participate in the electricity markets. In the second layer, responsive customers include electric vehicle owners and consumers who participate in demand response programs, being modeled as independent agents. The objective of the responsive customers is to increase their benefit while retaining welfare. The interaction between market players in day-ahead and real-time markets is modeled using an incomplete information game theory algorithm. According to the high uncertainty of resources and customers' behavior, the model is developed using a stochastic framework. A case study containing wind power producers, aggregators and retailers providing demand response is considered to confirm the usefulness of the proposed multi-layer model.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 10