Strategic bidding in Colombian Electricity market using a multi-agent learning approach

2008 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA

Volumn , Issue , 2008, Pages

  Gallego, Luis ^a,b   Duarte, O ^a,b   Delgadillo, Andres ^b  

^a UNIVERSIDAD NACIONAL DE COLOMBIA   (Colombia)

^b PAAS UN ^*

Author keywords

Agent based computational economics; Bidding prices; Electricity market; Reinforcement learning

Indexed keywords

ACTION SPACES; AGENT-BASED COMPUTATIONAL ECONOMICS; BIDDING BEHAVIOR; BIDDING PRICES; BIDDING STRATEGY; COLOMBIANS; COMPLEX FUNCTIONS; DC POWER FLOW; ELECTRICITY MARKET; GENERATION COMPANIES; LEARNING CAPABILITIES; MARKET PRICE; MULTI-AGENT LEARNING; MULTI-AGENT MODEL; NEW INDICES; POWER MARKETS; POWER SYSTEM OPERATIONS; Q-LEARNING; SOFTCOMPUTING TECHNIQUES; STRATEGIC BIDDING;

COMMERCE; COSTS; EDUCATION; LARGE SCALE SYSTEMS; MULTI AGENT SYSTEMS; REINFORCEMENT; REINFORCEMENT LEARNING; RISK ANALYSIS; RISK PERCEPTION; SOFT COMPUTING;

LEARNING ALGORITHMS;

EID: 67650467127     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/TDC-LA.2008.4641706     Document Type: Conference Paper

References (15)

1. A. Bagnall and G. Smith, "A multi-agent model of the uk market in electricity generation," IEEE Transactions on Evolutionary Computation, vol. 9, no. 5, pp. 522-536, Oct 2005.
2. A. Bakistzis and A. Tellidou, "Agent-based simulation of power markets under uniform and pay-as-bid pricing rules using reinforcement learning," in 2006 Power Systems Conference and Exposition, 2006.
3. J. Bower and D. Bunn, "A model-based comparison of pool and bilateral market mechanisms for electricity trading," Energy Journal, vol. 21, no. 3, pp. -, 2000.
4. R. Z. Carlos Murillo and D. Gan, "Matpower 3.2," http://www.pserc.cornell.edu, 2007.
5. J. Day and D. Bunn, "Divestiture of generation assets in the electricity pool of england and wales: A computational approach to analyzing market power," Journal of Regulatory Economics, vol. 19, no. 2, pp. 123-141,2001.
6. L. Gallego and A. Delgadillo, "Agent learning methodology for generators in an electricity market," IEEE Power Engineering Society. IEEE PES General Meeting, July 2008.
7. L. Gallego and O. Duarte, "Modeling of bidding prices using soft computing techniques," 2008 IEEE PES Transmission and Distribution Conference and Exposition, 2008.
8. M. Naghibi, "Application of q-learning with temperature variation for bidding strategies in market based power systems," Energy Conversion and Management, no. 47, pp. 1529-1538, 2006.
9. J. Nicolaisen, V. Petrov, and L. Tesfatsion, "Market power and efficiency in a computational electricity market with discriminatory double-auction pricing," IEEE Transactions on Evolutionary Computation, vol. 5, pp. 504-523, 2001.
10. F. Oliveira and D. Bunn, "Agent-based simulation: An application to the new electricity trading arrangements of england and wales," IEEE Transactions on Evolutionary Computation, vol. 5, pp. 493-503, 2001.
11. Y. Shun-kun and Y. Jia-hai, "Agent-based computational economics: Methodology and its application in electricity market research," in IEEE PES General Meeting, July 2005.
12. L. Tesfatsion, "Agent-based computational economics: Growing economies from the bottom up," Arificial Life, vol. 8, no. 1, pp. 55-82, 2002.
13. UPME, "Costos indicativos de generación eléctrica en colombia," Unidad de Planeación Minero Energetica, Tech. Rep., 2005.
14. C. J. . Watkins, "Learning from delayed rewards," Ph.D. dissertation, University of Cambridge, Psychology Department, 1989.
15. G. Xiong and T. Hashiyama, "An electricity supplier bidding strategy through q-learning," . I. Power Engineering Society Summer Meeting, Ed.