Particle Swarm Optimization of Electricity Market Negotiating Players Portfolio

Tiago Pinto, Zita Vale, Tiago Sousa, Hugo Morais, Isabel Praca

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review


Energy systems worldwide are complex and challenging environments. Multi-agent based simulation platforms are increasing at a high rate, as they show to be a good option to study many issues related to these systems, as well as the involved players at act in this domain. In this scope the authors’ research group has developed a multi-agent system: MASCEM (Multi- Agent System for Competitive Electricity Markets), which performs realistic simulations of the electricity markets. MASCEM is integrated with ALBidS (Adaptive Learning Strategic Bidding System) that works as a decision support system for market players. The ALBidS system allows MASCEM market negotiating players to take the best possible advantages from each market context. However, it is still necessary to adequately optimize the players’ portfolio investment. For this purpose, this paper proposes a market portfolio optimization method, based on particle swarm optimization, which provides the best investment profile for a market player, considering different market opportunities (bilateral negotiation, market sessions, and operation in different markets) and the negotiation context such as the peak and off-peak periods of the day, the type of day (business day, weekend, holiday, etc.) and most important, the renewable based distributed generation forecast. The proposed approach is tested and validated using real electricity markets data from the Iberian operator – MIBEL.
Original languageEnglish
Title of host publicationHighlights of Practical Applications of Heterogeneous Multi-Agent Systems. : The PAAMS Collection
EditorsJ.M. Corchado
Publication date2014
ISBN (Print)978-3-319-07766-6
ISBN (Electronic)978-3-319-07767-3
Publication statusPublished - 2014
EventPAAMS 2014: 12th International Conference on Practical Applications of Agents and Multi-Agent Systems - University of Salamanca, Salamanca, Spain
Duration: 4 Jul 20146 Jul 2014


ConferencePAAMS 2014
LocationUniversity of Salamanca
SeriesCommunications in Computer and Information Science


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