Realistic Multi-agent Simulation of Competitive Electricity Markets
作者： Tiago Pinto , Gabriel Santos , Zita Vale , Isabel Praca , Fernando Lopes
DOI: 10.1109/DEXA.2014.36
关键词:
摘要: The dynamism and ongoing changes that the electricity markets sector is constantly suffering, enhanced by huge increase in competitiveness, create need of using simulation platforms to support operators, regulators, involved players understanding dealing with this complex environment. This paper presents an market simulator, based on multi-agent technology, which provides advanced framework for study real operation, interactions between players. MASCEM (Multi-Agent Simulator Competitive Electricity Markets) uses data creation realistic scenarios, allow impacts implications transformations bring different countries. Also, development upper-ontology communication participating agents, means integration simulator other frameworks, such as MAN-REM Negotiation Risk Management Markets). A case platform results from several systems tools presented, a scenario data, simulating MIBEL environment, comparing performance results.
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sci-hub.se 参考文章(26)
Hugo Algarvio, Fernando Lopes, Risk Management and Bilateral Contracts in Multi-agent Electricity Markets practical applications of agents and multi agent systems. pp. 297- 308 ,(2014) , 10.1007/978-3-319-07767-3_27
Gabriel Santos, Tiago Pinto, Zita Vale, Hugo Morais, Isabel Praça, Upper Ontology for Multi-Agent Energy Systems' Applications distributed computing and artificial intelligence. pp. 617- 624 ,(2013) , 10.1007/978-3-319-00551-5_73
Mohammad Shahidehpour, Hatim Yamin, Zuyi Li, Market Operations in Electric Power Systems : Forecasting, Scheduling, and Risk Management Wiley. ,(2002)
Gregory Piatetsky-Shapiro, Usama M. Fayyad, Padhraic Smyth, From data mining to knowledge discovery: an overview knowledge discovery and data mining. pp. 1- 34 ,(1996)
R.D. Zimmerman, R.J. Thomas, PowerWeb: a tool for evaluating economic and reliability impacts of electric power market designs ieee pes power systems conference and exposition. pp. 1562- 1567 ,(2004) , 10.1109/PSCE.2004.1397612
Tiago Pinto, Isabel Praça, Zita Vale, Hugo Morais, Tiago M. Sousa, Strategic bidding in electricity markets: An agent-based simulator with game theory for scenario analysis Computer-Aided Engineering. ,vol. 20, pp. 335- 346 ,(2013) , 10.3233/ICA-130438
Gabriel Santos, Isabel Praca, Tiago Pinto, Sergio Ramos, Zita Vale, Scenarios generation for multi-agent simulation of electricity markets based on intelligent data analysis intelligent agents. pp. 5- 12 ,(2013) , 10.1109/IA.2013.6595183
G. Migliavacca, SREMS: a short-medium run electricity market simulator based on game theory and incorporating network constraints ieee powertech conference. pp. 813- 818 ,(2007) , 10.1109/PCT.2007.4538420
I. Praca, C. Ramos, Z. Vale, M. Cordeiro, MASCEM: a multiagent system that simulates competitive electricity markets IEEE Intelligent Systems. ,vol. 18, pp. 54- 60 ,(2003) , 10.1109/MIS.2003.1249170
SEPIA. A simulator for electric power industry agents IEEE Control Systems Magazine. ,vol. 20, pp. 53- 69 ,(2000) , 10.1109/37.856179