Agent Strategies in Smart Energy Markets - PowerTAC 2016

Bibliographic Details
Main Author: João Pedro Pascoal Pinheiro da Silva
Publication Date: 2016
Format: Master thesis
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: https://hdl.handle.net/10216/85755
Summary: The current energy models and infrastructures need to be restructured in order to face the changes in energy consumption, production and management. The adoption of renewable power sources combined with the capability of a more reasonable and autonomous participation on the grid lead to this energy revolution. These changes demand improvements in the way participants act, not only related to the physical electricity grid, but mainly regarding the related services, as energy markets. Since there is no real-life market to test new approaches for smart grid markets, simulations should be used. This work focus on the PowerTAC simulation framework, a top-of-the-art platform in which competitors develop broker agents to enact market companies. In this context, the tariff composition problem plays a fundamental role since customers (both real and simulated) interact with the market by selecting a tariff. Brokers should seek for creating and updating tariffs to be competitive and still profitable. Broker's performance is given by its market share and profit on the market. Current competitors use a centralized approach, with focus on single features to compose tariffs. In this work an alternative approach to this problem is presented. We propose the creation of a Broker that is inherently a Multi-Agent System - a broker composed by different specialist agents that evaluate different features to compose the final tariff. To validate the results from our work we will analyse the results from the participation of our broker on the PowerTAC, firstly in a local version of the competition against previous years public competitors and secondly, by trying to qualify to the annual competition.
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spelling Agent Strategies in Smart Energy Markets - PowerTAC 2016Engenharia electrotécnica, electrónica e informáticaElectrical engineering, Electronic engineering, Information engineeringThe current energy models and infrastructures need to be restructured in order to face the changes in energy consumption, production and management. The adoption of renewable power sources combined with the capability of a more reasonable and autonomous participation on the grid lead to this energy revolution. These changes demand improvements in the way participants act, not only related to the physical electricity grid, but mainly regarding the related services, as energy markets. Since there is no real-life market to test new approaches for smart grid markets, simulations should be used. This work focus on the PowerTAC simulation framework, a top-of-the-art platform in which competitors develop broker agents to enact market companies. In this context, the tariff composition problem plays a fundamental role since customers (both real and simulated) interact with the market by selecting a tariff. Brokers should seek for creating and updating tariffs to be competitive and still profitable. Broker's performance is given by its market share and profit on the market. Current competitors use a centralized approach, with focus on single features to compose tariffs. In this work an alternative approach to this problem is presented. We propose the creation of a Broker that is inherently a Multi-Agent System - a broker composed by different specialist agents that evaluate different features to compose the final tariff. To validate the results from our work we will analyse the results from the participation of our broker on the PowerTAC, firstly in a local version of the competition against previous years public competitors and secondly, by trying to qualify to the annual competition.2016-07-152016-07-15T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://hdl.handle.net/10216/85755TID:201308509engJoão Pedro Pascoal Pinheiro da Silvainfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-27T19:22:41Zoai:repositorio-aberto.up.pt:10216/85755Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T23:16:41.159953Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Agent Strategies in Smart Energy Markets - PowerTAC 2016
title Agent Strategies in Smart Energy Markets - PowerTAC 2016
spellingShingle Agent Strategies in Smart Energy Markets - PowerTAC 2016
João Pedro Pascoal Pinheiro da Silva
Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electronic engineering, Information engineering
title_short Agent Strategies in Smart Energy Markets - PowerTAC 2016
title_full Agent Strategies in Smart Energy Markets - PowerTAC 2016
title_fullStr Agent Strategies in Smart Energy Markets - PowerTAC 2016
title_full_unstemmed Agent Strategies in Smart Energy Markets - PowerTAC 2016
title_sort Agent Strategies in Smart Energy Markets - PowerTAC 2016
author João Pedro Pascoal Pinheiro da Silva
author_facet João Pedro Pascoal Pinheiro da Silva
author_role author
dc.contributor.author.fl_str_mv João Pedro Pascoal Pinheiro da Silva
dc.subject.por.fl_str_mv Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electronic engineering, Information engineering
topic Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electronic engineering, Information engineering
description The current energy models and infrastructures need to be restructured in order to face the changes in energy consumption, production and management. The adoption of renewable power sources combined with the capability of a more reasonable and autonomous participation on the grid lead to this energy revolution. These changes demand improvements in the way participants act, not only related to the physical electricity grid, but mainly regarding the related services, as energy markets. Since there is no real-life market to test new approaches for smart grid markets, simulations should be used. This work focus on the PowerTAC simulation framework, a top-of-the-art platform in which competitors develop broker agents to enact market companies. In this context, the tariff composition problem plays a fundamental role since customers (both real and simulated) interact with the market by selecting a tariff. Brokers should seek for creating and updating tariffs to be competitive and still profitable. Broker's performance is given by its market share and profit on the market. Current competitors use a centralized approach, with focus on single features to compose tariffs. In this work an alternative approach to this problem is presented. We propose the creation of a Broker that is inherently a Multi-Agent System - a broker composed by different specialist agents that evaluate different features to compose the final tariff. To validate the results from our work we will analyse the results from the participation of our broker on the PowerTAC, firstly in a local version of the competition against previous years public competitors and secondly, by trying to qualify to the annual competition.
publishDate 2016
dc.date.none.fl_str_mv 2016-07-15
2016-07-15T00:00:00Z
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