The independent system operator (ISO) is a key element in the deregulated structure with one of the responsibilities of transmission congestion management (CM). The ISO opts market based solutions to manage congestion receiving bids from generation companies (GENCOs) as well as distribution companies (DISCOMs) to reschedule their generation and relocate demand. The nodal prices increases during the congestion hours and the demand response to nodal prices will be an effective tool for the control of congestion. In this paper, demand response-based CM has been proposed for a mix of pool and bilateral electricity market model. The linear bid curves have been considered for demand bids to respond to the congestion in the network. The bilateral demand has been obtained with minimum deviations in their preferred schedule. The impact of flexible alternating current transmission system (FACTS) devices viz static var compensator (SVC) and thyristor controlled series compensator (TCSC) has also been considered for demand management during congestion. Multi-line congestion cases have been considered to study the impact on demand response without and with FACTS devices. The proposed approach has been tested on the IEEE 24 bus test system.
. Demand response based congestion management in a mix of pool and bilateral electricity market model[J]. Frontiers in Energy, 0, (): 164-178.
Ashwani KUMAR, Charan SEKHAR. Demand response based congestion management in a mix of pool and bilateral electricity market model. Front Energ, 0, (): 164-178.
Shahidepour M, Alomoush M. Restructured Electrical Power Systems, Operation, Trading, and Volatility. New York: Marcel Dekker, Inc., 2001
2
Singh H, Hao S, Papalexopoulos A. Transmission congestion management in competitive markets. IEEE Transactions on Power Systems , 1998, 13(2): 672-680 doi: 10.1109/59.667399
3
Bompard E, Carpenato E, Chicco G, Gross G. The Role of load demand elasticity in congestion management and pricing. In: Proceedings of IEEE PES 2000 Summer Meeting. Seattle , 2000, 2229-2234
4
Hao S, Shirmohammadi D. Congestion management with Ex Ante pricing for decentralized markets. IEEE Transactions on Power Systems , 2002, 17(4): 1030-1036 doi: 10.1109/TPWRS.2002.804944
5
Alomoush M I, Shahidehpour S M. Fixed transmission rights for zonal congestion management. IEE Proceedings. Generation, Transmission and Distribution , 1999, 146(5): 471-476 doi: 10.1049/ip-gtd:19990441
6
Alomoush M I, Shahidehpour S M. Generalized model for fixed transmission rights auction. Electric Power Systems Research , 2000, 54(3): 207-220 doi: 10.1016/S0378-7796(99)00085-1
7
Shirmohammadi D, Wollenberg B, Vojdani A, Sandrin P, Pereira M, Rahimi F, Schneider T, Stott B. Transmission dispatch and congestion management in the emerging energy market structures. IEEE Transactions on Power Systems , 1998, 13(4): 1466-147 4 doi: 10.1109/59.736292
8
Fang R S, David A K. Transmission congestion management in an electricity market. IEEE Transactions on Power Systems , 1999, 14(3): 877-883 doi: 10.1109/59.780898
9
Fang R S, David A K. Optimal dispatch under transmission contracts. IEEE Transactions on Power Systems , 1999, 14(2): 732-737 doi: 10.1109/59.761905
10
Srivastava S C, Kumar P. Optimal power dispatch in deregulated market considering congestion management. In: Lai L L ed. Proceedings of International Conference on Electric Utility Deregulation and Restructuring and Power Technologies , London: IEEE, 2000, 53-59
11
Christie R D, Wollenberg B F, Wangstien I. Transmission management in the deregulated environment. Proceedings of the IEEE , 2000, 88(2): 170-195 doi: 10.1109/5.823997
12
Bompard E, Correia P, Gross G, Amelin M. Congestion-management schemes: A comparative analysis under a unified framework. IEEE Transactions on Power Systems , 2003, 18(1): 346-352 doi: 10.1109/TPWRS.2002.807077
13
Kumar A, Srivastava S C, Singh S N. Congestion management in competitive power markets—A bibliographical survey. Electric Power Systems Research , 2005, 76(1-3): 153-164 doi: 10.1016/j.epsr.2005.05.001
14
Kumar A, Srivastava S C, Singh S N. A zonal congestion management approach using real and reactive power rescheduling. IEEE Transactions on Power Systems , 2004, 19(1): 554-562 doi: 10.1109/TPWRS.2003.821448
15
Kumar A, Srivastava S C, Singh S N. A zonal congestion management approach using AC transmission congestion distribution factors. Electric Power Systems Research , 2004, 72(1): 85-93 doi: 10.1016/j.epsr.2004.03.011
16
Huang G M, Yan P. TCSC and SVC as re-dispatch tools for congestion management and TTC improvement. In: Proceedings of IEEE Power Engineering Society Winter Meeting, New York , 2002, 660-665
17
Yesuratnam G, Pushpa M. Congestion management for security oriented power system operation using generation rescheduling. In: Proceedings of IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), Singapore , 2010, 287-292
18
Albadi M H, El-Saadany E F. A summary of demand response in electricity markets. Electric Power Systems Research , 2008, 78(11): 1989-1996 doi: 10.1016/j.epsr.2008.04.002
19
Affonso C M, da Silva L C P. Potential benefits of implementing load management to improve power system security. International Journal of Electrical Power & Energy Systems , 2010, 32(6): 704-710 doi: 10.1016/j.ijepes.2010.01.004
20
Yousefi A, Nguyen T T, Zareipour H, Malik O P. Congestion management using demand response and FACTS devices. International Journal of Electrical Power & Energy Systems , 2012, 37(1): 78-8 5 doi: 10.1016/j.ijepes.2011.12.008
21
Kumar A, Sekhar C. DSM based congestion management in pool electricity markets with FACTS devices. Energy Procedia , 2012, 14(1): 94-100 doi: 10.1016/j.egypro.2011.12.901
22
Brooke A, Kendrick D, Meeraus A, Raman R, Rasenthal R E. A User’s Guide (GAMS Software). Washington: GAMS Development Corporation, 1998
23
Ferris M C. MATLAB and GAMS: interfacing optimization and visualization software. 1999-05-26, http://pages.cs.wisc.edu/~ferris/matlabgams.pdf
24
Subcommittee P, 0. IEEE Reliability Test System. IEEE Transactions on Power Apparatus and Systems , 1979, PAS-98(6): 2047-2054 doi: 10.1109/TPAS.1979.319398
25
Gyugyi L, Hingorani N G. Understanding FACTS: Concept and Technology of Flexible AC Transmission System. Piscataway, NJ: IEEE Press, 2001
26
Acha E, Fuerte-Esquivel C R, Ambize-Perez H, Angeles-Camacho C. FACTS: Modelling and Simulation in Power Networks. New York: John Wiley & Sons, 2002
27
Sharma A K, Chanana S. New multi-objective optimization problem for secure bilateral transaction determination with UPFC in hybrid electricity markets. Electric Power Components and systems , 2008, 36(6): 555-574
28
Grossmann I E, Viswanathan J, Vecchietti A, Raman R, Kalvelagen E. CONOPT Solver. Washington D C: GAMS Development Corporation, 2002
29
Grossmann I E, Viswanathan J, Vecchietti A, Raman R, Kalvelagen E. DICOPT: A Discrete Continuous Optimization Package. Washington D C: GAMS Development Corporation, 2003
