Effect of agent's action domain repesentation method in agent-based electricity market simulation

Asia-Pacific Power and Energy Engineering Conference, APPEEC

Volumn , Issue , 2009, Pages

  Jing, Zhaoxia ^a   Chen, Haoyong ^a   Ngan, H W ^b   Wang, Jianhui ^c  

^a SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^c ARGONNE NATIONAL LABORATORY   (United States)

Author keywords

Action domain; Bid format; Electricity market; Market mechanism; Reinforcement learning

Indexed keywords

ACTION DOMAIN; AGENT BASED; AGENT BASED SIMULATION; BID FORMAT; CLEARING PRICE; DOMAIN REPRESENTATIONS; ELECTRICITY MARKET; ELECTRICITY MARKET SIMULATION; GENERATING METHODS; GENERATOR SYSTEMS; LEARNING METHODS; MARKET MECHANISM; MARKET POWER; MODEL AGENTS; SIMULATION RESULT;

PACKET NETWORKS; REINFORCEMENT; REINFORCEMENT LEARNING;

COMMERCE;

EID: 84869985839     PISSN: 21574839     EISSN: 21574847     Source Type: Conference Proceeding    
DOI: 10.1109/APPEEC.2009.4918312     Document Type: Conference Paper

References (11)

1. J. Wang, A. Botterud, G. Conzelmann, and V. Koritarov, "Market Power Analysis in the EEX Electricity Market: An Agent-Based Simulation Approach," IEEE PES General Meetings, Page(s): l - 8, July 20-24, 2008.
2. School of Electrical Engineering, Cornell University, Ithaca, NY, "PowerWeb user's manual," http://www.pserc.cornell.edu/powerweb/.
3. D. Koesrindartoto, J. Sun, L. Tesfatsion, "An Agent-Based Computational Laboratory for Testing the Economic Reliability of Wholesale Power Market Designs," IEEE Power Engineering Society Conference Proceedings, SF, CA, June 12-16, 2005, pp. 1-7,. 2005.
4. G. Grozev, D. Batten, M. Anderson, G. Lewis, J.P.T. Mo & J. Katzfey, "NEMSIM: Agent-based simulator for Australia's national Electriciy," http://www.cmmt.csiro.au/research/papers/abstract.cfm/664.
5. M. B. Cain and F. L. Alvarado, "Implications of Cost and Bid Format on Electricity Market Studies: Linear Versus Quadrati Costs," Large Engineering Systems Conference on Power Engineering, July 2004, Halifax Canada., pp. 2-6, July 2004.
6. N. Fabra, N.H. von der Fehr and D. Harbord., "Modeling electricity auctions," The Electricity Journal, pp. 72-81, Aug/Sep. 2002.
7. James Nicolaisen, V. Petrov, and L. Tesfatsion, "Market power and efficiency in a computational electricity marekt with discriminatory double side auctionTestfatsion," IEEE Transanctions on Evolutionary Computation, vol. 5, no. 5, pp. 504-523, Oct. 2001.
8. A.J. Bagnall and G.D. Smith, "A Multiagent Model of the UK Market in electricity generation," IEEE Transanctions on Evolutionary Computation, vol. 9, no. 3, pp. 522-536, Oct. 2005.
9. M.B. Naghibi-Sistani, M.R. Akbarzadeh-T., M.H. Javidi-D.B. and H. Rajabi-Mashhadi, "Q-adjusted annealing for Q-learning of bid selection in market-based multisource power systems," IEE Proceedings-Generation, Transmission and Distribution, vol. 153, no. 6, pp. 653-660, 05.
10. As. Rahimi-Kian, B. Sadeghi, and R.J. Thomas, "Q-Learning Based Supplier-Agents for Electricity Markets," IEEE Power Engineering Society General Meeting, 2005., pp. 420-427, June 2005
11. A.C. Tellidou, A.G. Bakirtzis, "Agent-based analysis of monopoly power in electricity markets," International Conference on Intelligent Systems Applications to Power Systems, 2007. ISAP 2007, pp. 1-6, Nov. 2007