Generation Scheduling in Power Systems with Hydro Electric Plants
DOI:
https://doi.org/10.6000/1929-6002.2014.03.03.3Keywords:
Power system management, medium-term scheduling, market environment, bi-level approach, dynamic programming.Abstract
Medium-term generation scheduling is an important component of power systems operation and management. The traditional problem statement aimed at reducing the total production cost can hardly correspond to the market environment. The paper considers specific features of the problem statement for a wholesale electricity market environment. An approach is suggested to solve the problem on the basis of bi-level optimization models. Such models take into account possible distortion of economic and technical parameters of generating units. The proposed technique obtains equilibrium of the generation company’s interests to simulate the competitive behavior under the oligopoly electricity market. A mathematical statement of the problem supposes the application of a dynamic programming method. An algorithm for the stochastic dynamic programming application is developed. A numerical example is presented to demonstrate the applicability of the method and algorithm. The efficiency of the proposed approach is shown in comparison with the traditional generation scheduling technique.
References
Carraretto C. Power plant operation and management in a deregulated market. Energy 2006; 31: 1000-16. http://dx.doi.org/10.1016/j.energy.2005.02.009
Bushnell J. A mixed complementarity model of hydrothermal electricity competition in the western United States. Operations Res 2003; 51: 80-93. http://dx.doi.org/10.1287/opre.51.1.80.12800
Faria E, Barroso LA, Kelman R, Granville S, Pereira MV. Allocation of firm-energy rights among hydro plants: An Aumann–Shapley approach. IEEE Transactions on Power Systems 2009; 24: 541-51. http://dx.doi.org/10.1109/TPWRS.2009.2016376
Kelman R, Barroso LA, Pereira MV. Market power assessment and mitigation in hydrothermal systems. IEEE Transactions on Power Systems 2001; 16: 354-9. http://dx.doi.org/10.1109/59.932268
Villar J, Rudnick H. Hydrothermal market simulator using game theory: Assessment of market power. IEEE Transactions on Power Systems 2003; 18: 91-8. http://dx.doi.org/10.1109/TPWRS.2002.807061
Hobbs BF, Pang JS. Nash-Cournotequilibria in electric power markets with piecewise linear demand functions and joint constraints. Operation Res 2007; 55: 113-27. http://dx.doi.org/10.1287/opre.1060.0342
Ruiz C, Conejo AJ. Pool strategy of a producer with endogenous formation of locational marginal prices. IEEE Transactions on Power Systems 2009; 24: 1855-66. http://dx.doi.org/10.1109/TPWRS.2009.2030378
Weber JD, Overbye TJ. A Two-level optimization problem for analysis of market bidding strategies. Proceedings of the IEEE PES Summer Meeting; 1999: July 20; Edmonton, Canada; 2: 682-7.
Barquin J, Vazquez M. Cournot equilibrium calculation in power networks: An optimization approach with price response computation. IEEE Transactions on Power Systems 2008; 23: 317-26. http://dx.doi.org/10.1109/TPWRS.2008.919198
Dempe S. Annotated bibliography on bi-level programming and mathematical programs with equilibrium constraints. Optimization 2003; 52: 333-59. http://dx.doi.org/10.1080/0233193031000149894
Hobbs BF, Metzler CB, Pang J-S. Strategic gaming analysis for electric power systems: An MPEC approach. IEEE Transactions on Power Systems 2000; 15: 638-45. http://dx.doi.org/10.1109/59.867153
Bompard E, Lu W, Napoli R. Network constraint impacts on the competitive electricity markets under supply-side strategic bidding. IEEE Transactions on Power Systems 2006; 21: 160-70. http://dx.doi.org/10.1109/TPWRS.2005.857833
Nechaev I, Palamarchuk S. Mid-term generation scheduling on the basis of a bi-level optimization problem. Proceedings of the 12th International Conference on Environment and Electrical Engineering; 2013: May 5-8; Wroclaw, Poland; p. 237-42.
Nechaev I, Palamarchuk S. Midterm hydrothermal generation scheduling using nonlinear dynamic programming. Proceedings of the IEEE PowerTech Conference; 2013: June 16-20; Grenoble, France; paper A5455IN.
Hobbs BF. Linear complementararity models of Nash-Cournot competition in in bilateral and POOLCO power markets. IEEE Transactions on Power Systems 2001; 16: 194-202. http://dx.doi.org/10.1109/59.918286
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2014 Journal of Technology Innovations in Renewable Energy
This work is licensed under a Creative Commons Attribution 4.0 International License.
Policy for Journals/Articles with Open Access
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are permitted and encouraged to post links to their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
Policy for Journals / Manuscript with Paid Access
Authors who publish with this journal agree to the following terms:
- Publisher retain copyright .
- Authors are permitted and encouraged to post links to their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work .
