A trading strategy for industrial CHPs on multiple power markets

International Transactions on Electrical Energy Systems

Volumn 24, Issue 5, 2014, Pages 677-697

  De Ridder, Fjo ^a,b   Claessens, Bert ^a,b  

^a VITO ^*  (Belgium)

^b FLEMISH INSTITUTE FOR TECHNOLOGICAL RESEARCH VITO   (Belgium)

Author keywords

bidding strategies; CHP; continuous intraday markets; day ahead markets; multiple markets; optimal stochastic control; power; trading

Indexed keywords

INSTALLATION; POWER GENERATION; PROBABILITY DENSITY FUNCTION; PROFITABILITY; STOCHASTIC CONTROL SYSTEMS; STOCHASTIC PROGRAMMING; STOCHASTIC SYSTEMS;

BIDDING STRATEGY; DAY AHEAD MARKET; MULTIPLE MARKETS; OPTIMAL STOCHASTIC CONTROL; POWER; TRADING;

POWER MARKETS;

EID: 84902549554     PISSN: None     EISSN: 20507038     Source Type: Journal    
DOI: 10.1002/etep.1725     Document Type: Article

References (41)

1. Lund H, Andersen AN,. Optimal designs of small CHP plants in a market with fluctuating electricity prices. Energy Conversion and Management 2005; 46 (6): 893-904.
2. Rolfsman B,. Combined heat-and-power plants and district heating in a deregulated electricity market. Applied Energy 2004; 78: 37-52.
3. Streckiene G, Martinaitis V, Andersen A, Katz J,. Feasibility of CHP-plants with thermal stores in the German spot market. Applied Energy 2009; 86: 2308-2316.
4. Rong A, Hakonen H, Lahdelma R,. A variant of the dynamic programming algorithm for unit commitment of combined heat and power systems. European Journal of Operational Research 2008; 190: 741-755.
5. Rong A, Lahdelma R, Grunow M,. An improved unit decommitment algorithm for combined heat and power systems. European Journal of Operational Research 2009; 195: 552-562.
6. Triki C, Beraldi P, Gross G,. Optimal capacity allocation in multi-auction electricity markets under uncertainty. Computers & Operational Research 2005; 32 (2): 201-217.
7. Swider DJ,. Simultaneous bidding in day-ahead auctions for spot energy and power systems reserve. International Journal of Electrical Power & Energy Systems 2007; 29: 470-479.
8. Ugedo A, Lobato E, Franco A, Rouco L, Fernandez-Caro J, Chofre J,. Strategic bidding in sequential electricity markets. IEEE Proceedings-Generation, Transmission and Distribution 2006; 153 (4): 431-442.
9. Plazas MA, Conejo AJ, Prieto FJ,. Multimarket optimal bidding for a power producer. IEEE Transactions on Power Systems 2005; 20 (4): 2041-2050.
10. Gröwe-Kuska N, Heitsch H, Römisch W,. Scenario reduction and scenario tree Construction for power management problem. Proc. IEEE Bologna Power Tech., Bologna, 2003.
11. Sadeh J, Mashhadi HR, Latifi MA,. A risk-based approach for bidding strategy in an electricity pay-as-bid auction. European Transactions on Electrical Power 2009; 19 (1): 39-55.
12. Conejo AJ, Nogales FJ, Arroyo JM,. Price-taker bidding strategy under price uncertainty. IEEE Transactions on Power Systems 2002; 17 (4): 1081-1088.
13. Rodriguez CP, Anders GJ,. Bidding strategy design for different types of electric power market participants. IEEE Transactions on Power Systems 2004; 19 (2): 964-971.
14. Philpott AB, Pettersen E,. Optimizing demand-side bids in day-ahead electricity markets. IEEE Transactions on Power Systems 2006; 21 (2): 488-498.
15. Fleten SE, Kristoffersen TK,. Stochastic programming for optimizing bidding strategies of a Nordic hydropower producer. European Journal of Operational Research 2007; 181 (2): 916-928.
16. Swider DJ, Weber C,. Bidding under price uncertainty in multi-unit pay-as-bid procurement auctions for power systems reserve. European Journal of Operational Research 2007; 181 (3): 1297-1308.
17. Rahimiyan M, Mashhadi HR,. Supplier's optimal bidding strategy in electricity pay-as-bid auction: Comparison of the Q-learning and a model-based approach. Electrical Power Systems Research 2008; 78 (1): 165-175.
18. Yamin HY, Altawil IA, Al-Ajlouni AF, Shahidehpour SM,. Risk-based self-scheduling for GenCos in the day-ahead competitive electricity markets. European Transactions on Electrical Power 2009; 19: 103-112.
19. Lamond BF, Boukhtouta A,. Neural approximation for the optimal control of a hydroplant with random inflows and concave revenues. Journal of Energy Engineering-ASCE 2005; 131 (7): 72-95.
20. Bellman R, Dreyfuss S,. Applied dynamic programming. Princeton University Press: Princeton, 1962.
21. Howard R,. Dynamic Programming and Markov Processes. Cambridge, USA: The MIT Press, 1960.
22. Shapiro A, Dentcheva D, Ruszczynski A,. Lectures on stochastic programming: modeling and theory. Society for Industrial Mathematics, 2009. (http://www2.isye.gatech.edu/people/faculty/Alex-Shapiro/SPbook.pdf).
23. Littman M, Dean T, Kaelbling L,. On the complexity of solving markov decision problems. Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence, 1995; 394-402.
24. Bertsekas D, Tsitsiklis J,. Neuro-Dynamic Programming, Optimization and Neural Computation Series, 3. Nashua, USA: Athena Scientific, 1996.
25. Powell W,. Approximate Dynamic Programming: Solving the curses of dimensionality, 2nd edn. Boston, USA: Wiley-Blackwell, 2011.
26. Busoniu L, Babuska R, De Schutter B, Ernst D,. Reinforcement learning and dynamic programming using function approximators. Boca Raton, USA: CRC Press, 2010.
27. Geurts P, Ernst D, Wehenkel L,. Extremely randomized trees. Machine Learning 2006; 63 (1): 3-42.
28. Sutton R, Barto A,. Reinforcement learning: An introduction. Cambridge, UK: Cambridge Univ Press, 1998.
29. Heitsch H, Römisch W,. Scenario tree modeling for multistage stochastic programs. Mathematical Programming 2009; 118 (2): 371-406.
30. Defourny B, Ernst D, Wehenkel L,. Multistage stochastic programming: A scenario tree based approach to planning under uncertainty, Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions, 2011. (http://www.montefiore.ulg.ac.be/~ernst/uploads/news/id149/MSPchap-preprint.pdf).
31. Shapiro A, Nemirovski A,. On complexity of stochastic programming problems, Continuous optimization. Springer, 2005; 111-146.
32. Ben-Tal A, El Ghaoui L, Nemirovski B,. Robust optimization. New Jersey, USA: Princeton University Press, 2009.
33. Rocha P, Kuhn D,. Multistage stochastic portfolio optimization in deregulated electricity markets using linear decision rules. European Journal of Operational Research, 2011.
34. Warrington J, Goulart P, Mariethoz M, Morari S,. Robust reserve operation in power systems using affine policies. Conference on Decision and Control, 2012.
35. Bertsekas D,. Dynamic Programming and Optimal Control, Vols. I and II, 3rd edn. Nashua, USA: Athena Scientific, 1995.
36. Edwin TJ,. Probability Theory: The Logic of Science. Cambridge, USA: Cambridge University Press, 2003.
37. Couchman P, Kouvaritakis B, Cannon M,. Gaming strategy for electric power with random demand. IEEE Transactions on Power Systems 2005; 20 (3): 1283-1292.
38. Li T, Shahidehpour M,. Strategic bidding of transmission-constrained GENCOs with incomplete information. IEEE Transactions on Power Systems 2005; 20 (1): 437-447.
39. http://www.belpex.be/index.php?id=78
40. Shapiro A, Dentcheva D, Ruszczynski A,. Stochastic Programming Modeling and Theory. MPS/SIAM Series on Optimization, 9. Society for Industrial and Applied Mathematics (SIAM): Philadelphia, PA, 2009.
41. Angarita JM, Usaola JG,. Combining hydro-generation and wind energy Biddings and operation on electricity spot markets. Electric Power Systems Research 2007; 77 (5-6): 393-400.