DOI QR코드

DOI QR Code

Two-Stage Model for Security Network-Constrained Market Auction in Pool-Based Electricity Market

  • Kim, Mun-Kyeom (Dept. of Energy System Engineering, Chung-Ang University)
  • 투고 : 2017.05.15
  • 심사 : 2017.08.16
  • 발행 : 2017.11.01

초록

This paper presents a two-stage market auction model in a pool-based electricity market, which explicitly takes into account the system network security. The security network-constrained market auction model considers the use of corrective control to yield economically efficient actions in the post-contingency state, while ensuring a certain security level. Under this framework, the proposed model shows not only for quantifying the correlation between secure system operation and efficient market operation, but also for providing transparent information on the pricing system security for market participants. The two-stage market auction procedure is formulated using Benders decomposition (BD). In the first stage, the market participants bid in the market for maximizing their profit, and the independent system operator (ISO) clears the market based on social welfare maximization. System network constraints incorporating post-contingency control actions are described in the second stage of the market auction procedure. The market solutions, along with the BD, yield nodal spot prices (NSPs) and nodal congestion prices (NCPs) as byproducts of the proposed two-stage market auction model. Two benchmark systems are used to test and demonstrate the effectiveness of the proposed model.

키워드

참고문헌

  1. Alexander W. Dowling, Ranjeet Kumar and Victor M. Zavala, "A multi-scale optimization framework for electricity market participation," Applied Energy, vol. 190, pp. 147-164, Mar. 2017. https://doi.org/10.1016/j.apenergy.2016.12.081
  2. Alvarado Fernando, Hu Yi, Ray Dennis, Stevenson Rodney and Cashman Eileen, "Engineering Foundations for the Determination of Security Costs," IEEE Trans. Power Syst, vol. 6, no. 3, pp. 1175-1182, Aug. 1992.
  3. Kaye RJohn, Wu Felix F and Varaiya Pravin, "Pricing for system security," IEEE Trans. Power Syst, vol. 10, no. 2, pp. 575-583, May. 1995. https://doi.org/10.1109/59.387891
  4. Abheejeet. Mohapatra, P.R. Bijwe and Bijaya.Ketan. Panigrahi, "Optimal Power Flow with Multiple Data Uncertainties," Electric Power Systems Research, vol. 95, pp. 160-167, Feb. 2013. https://doi.org/10.1016/j.epsr.2012.06.017
  5. Haifeng Liu, Leigh Tesfatsion and Ali. A. Chowdhury, "Locational marginal pricing basics for restructured wholesale power market," IEEE PES GM2009 Conference, Calgary, Alberta, Canada, July 2009.
  6. Vanusa Alves de Sousa, Edmea Cassia Baptista and Geraldo.R.M. da Costa, "Multiobjective optimization for pricing system security in electricity market," Electric Power Systems Research, vol. 84, no. 1, pp. 159-164, Mar. 2012. https://doi.org/10.1016/j.epsr.2011.11.001
  7. Milano Federico, Canizares Claudio A and Invernizzi Marco, "Multiobjective optimization for pricing system security in electricity markets," IEEE Trans. Power Syst, vol. 18, no. 2, pp. 596-604, May 2013.
  8. Jae-kun Lyu, Mun Kyeom Kim and Jong Keun Park, "Security Cost Analysis with Linear Ramp Model using Contingency Constrained Optimal Power Flow," Journal of Electrical Engineering & Technology, vol. 4, no. 3, pp.353-359, Sep. 2009. https://doi.org/10.5370/JEET.2009.4.3.353
  9. Nima Amjady and Hossein Sharifzadeh, "Security constrained optimal power flow considering detailed generator model by a new robust differential evolution algorithm," Electric Power Systems Research, vol. 81, no. 2, pp. 740-749, Feb. 2011. https://doi.org/10.1016/j.epsr.2010.11.005
  10. Yury Dvorkin, Pierre Henneaux, Daniel S. Kirschen and Hrvoje Pandzic, "Optimizing Primary Response in Preventive Security-Constrained Optimal Power Flow," IEEE Systems Journal, no. 99, pp. 1-10, Mar. 2016.
  11. MunKyeom Kim, Don Hur and Jong Keun Park, "Determination of Available Transfer Capability using Multi-objective Contingency Constrained Optimal Power Flow with Post-contingency Corrective Rescheduling," Electrical Engineering, vol. 90, no. 4, pp. 243-253, Apr. 2008. https://doi.org/10.1007/s00202-007-0064-4
  12. Ricardo Fernandez Blanco, Jose Manuel Arroyo and Natalia Alguacil, "A Unified Bilevel Programming Framework for Price-Based Market Clearing Under Marginal Pricing," IEEE Trans. Power Syst, vol. 27, no. 1, pp. 517-525, Feb. 2012. https://doi.org/10.1109/TPWRS.2011.2161348
  13. Alexis L. Motto, Francisco D. Galiana, Antonio J. Conejo and Jose M. Arroyo, "Network-Constrained Multiperiod Auction for a Pool-Based Electricity Market," IEEE Trans. Power Syst, vol. 17, no. 3, pp. 646-653, Aug. 2002. https://doi.org/10.1109/TPWRS.2002.800909
  14. Andrija T. Saric, Frederic H. Murphy, Allen L. Soyster and Aleksandar M. Stankovic, "Two-Stage Stochastic Programming Model for Market Clearing With Contingencies," IEEE Trans. Power Syst, vol. 24, no. 3, pp.1266-1278, Aug. 2009. https://doi.org/10.1109/TPWRS.2009.2023267
  15. S. Vani, R. Kopperundevi, T. Thilagavathi, R. Kabeel Arun Presath and R. Rajathy, "Two-Stage Stochastic Programming Model for Market Clearing With Contingencies," IEEE Students' Conf. Electr, Electron and Computer Science, pp.1-5, Mar. 2012.
  16. F. Capitanescu, J. L. Martinez Ramos, Patrick. Panciatici, D. Kirschen, Alejandro. Marano Marcolini, L. Platbrood and Louis. Wehenkel, "State-of-the-art, challenges, and future trends in security constrained optimal power flow," Electric Power Systems Research, vol. 81, no. 8, pp.1731-1741, Aug. 2011. https://doi.org/10.1016/j.epsr.2011.04.003
  17. MunKyeom Kim and Don Hur, "Decompositioncoordination strategy to improve power transfer capability of interconnected systems," International Journal of Electrical Power & Energy Systems, vol. 33, no. 10, pp. 1638-1647, Dec. 2011. https://doi.org/10.1016/j.ijepes.2011.06.028
  18. Bahman Bahmani-Firouzi, Sajjad Sharifinia, Rasoul Azizipanah-Abarghooee, and Taher Niknam, "Scenario-Based Optimal Bidding Strategies of GENCOs in the Incomplete Information Electricity Market Using a New Improved Prey-Predator Optimization Algorithm," IEEE Systems Journal, vol. 9, no. 4, pp. 1485-1495, Dec. 2015. https://doi.org/10.1109/JSYST.2014.2320972
  19. Matcha. Murali, Matam. Sailaja Kumari and Maheswqrapu. Sydulu, "Optimal spot pricing in electricity market with inelastic load using constrained bat algorithm," International Journal of Electrical Power & Energy Systems, vol. 62, pp. 897- 911, Nov. 2014. https://doi.org/10.1016/j.ijepes.2014.05.023
  20. MunKyeom Kim, "A New Approach to Short-term Price Forecast Strategy with an Artificial Neural Network Approach: Application to the Nord Pool," Journal of Electrical Engineering & Technology, vol. 10, no. 4, pp. 1480-1491, Jul. 2015. https://doi.org/10.5370/JEET.2015.10.4.1480
  21. Wu Yu-Ci, Debs Atif S and Marsten Roy E, "A direct nonlinear predictor-corrector primal-dual interior point algorithm for optimal power flows," IEEE Transactions on Power Syst, vol. 9, no. 2, pp. 876- 883, May 1994. https://doi.org/10.1109/59.317660
  22. Kai Xie, YongHua Song, Stonham John, Erkeng Yu and Guangyi Liu, "Decomposition model and interior point methods for optimal spot pricing of electricity in deregulation environments," IEEE Transactions on Power Syst, vol. 15, no. 1, pp. 39-50, Feb. 2000. https://doi.org/10.1109/59.852099
  23. Chen Hong, "Security cost analysis in electricity markets based on voltage security criteria and webbased implementation, University of Waterloo, Waterloo, Canada, 2003.
  24. SungSu Kim, MunKyeom Kim and JongKeun Park, "Consideration of multiple uncertainties for evaluation of available transfer capability using fuzzy continuation power flow," International Journal of Electrical Power & Energy Systems, vol. 30, no. 10, pp. 581-593, Dec. 2008. https://doi.org/10.1016/j.ijepes.2008.08.004
  25. Generalized Algebraic Modeling Systems (GAMS), .