Abstract
High wind power penetration presents a lot of challenges to the flexibility and reliability of power system operation. In this environment, various demand response (DR) programs have got much attention. As an effective measure of demand response programs, interruptible load (IL) programs have been widely used in electricity markets. This paper addresses the problem of impacts of the IL programs on the equilibrium outcomes of electricity wholesale markets with wind power. A Cournot equilibrium model of wholesale markets with wind power is presented, in which IL programs is included by a market demand model. The introduction of the IL programs leads to a non-smooth equilibrium problem. To solve this equilibrium problem, a novel solution method is proposed. Numerical examples show that IL programs can lower market price and its volatility significantly, facilitate the integration of wind power.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Farhangi, H.: The Path of the Smart Grid. IEEE Power and Energy Magazine 8(1), 19–28 (2010)
Rahimi, F., Ipakchi, A.: Demand Response as a Market Resource under the Smart Grid Paradigm. IEEE Trans. on Smart Grid 1(1), 82–88 (2010)
Cappers, P., Goldman, C., Kathan, D.: Demand Response in U.S. Electricity Markets: Empirical Evidence. Energy 35(4), 1526–1535 (2010)
Walawalkar, R., Fernands, S., Thakur, N.: Evolution and Current Status of Demand Response (DR) in Electricity Markets: Insights From PJM and NYISO. Energy 35(4), 1553–1560 (2010)
Chen, H., Billinton, R.: Interruptible Load Analysis Using Sequential Monte Carlo Simulation. IEE Proceedings-C, Generation, Transmission and Distribution 148(6), 535–539 (2001)
Yu, C.W., Zhang, S.H., Chung, T.S., Wong, K.P.: Modeling and Evaluation of Interruptible Load Programs in Electricity Markets. IEE Proceedings-C, Generation, Transmission and Distribution 152(5), 581–588 (2005)
Ventosa, M., Bayllo, A., Ramos, A., Rivier, M.: Electricity market modeling trends. Energy Policy 33(7), 897–913 (2005)
Helman, U.: Market Power Monitoring and Mitigation in the US Wholesale Power Markets. Energy 31(6-7), 877–904 (2006)
Li, G., Shi, J., Qu, X.: Modeling Methods for GenCo Bidding Strategy Optimization in the Liberalized Electricity Spot Market: A State-of-the-art Review. Energy 36(8), 4686–4700 (2011)
Chen, H., Wang, X.: Strategic Behavior and Equilibrium in Experimental Oligopolistic Electricity Markets. IEEE Trans. on Power Sysems 22(4), 1707–1716 (2007)
Badri, A., Rashidinejad, M.: Security Constrained Optimal Bidding Strategy of GenCos in Day Ahead Oligopolistic Power Markets: a Cournot-based Model. In: Electrical Engineering, pp. 1–10 (2012)
Chung, T.S., Zhang, S.H., Wong, K.P., Yu, C.W., Chung, C.Y.: Strategic Forward Contracting in Electricity Markets: Modelling and Analysis by Equilibrium Method. IEE Proceedings-C, Generation, Transmission and Distribution 151(2), 141–149 (2004)
Yu, C.W., Zhang, S.H., Wang, X., Chung, T.S.: Modeling and Analysis of Strategic Forward Contracting in Transmission Constrained Power Markets. Electrical Power Systems Research 80(3), 354–361 (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
An, X., Zhang, S., Li, X. (2013). Effects of Interruptible Load Program on Equilibrium Outcomes of Electricity Markets with Wind Power. In: Li, K., Li, S., Li, D., Niu, Q. (eds) Intelligent Computing for Sustainable Energy and Environment. ICSEE 2012. Communications in Computer and Information Science, vol 355. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37105-9_45
Download citation
DOI: https://doi.org/10.1007/978-3-642-37105-9_45
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-37104-2
Online ISBN: 978-3-642-37105-9
eBook Packages: Computer ScienceComputer Science (R0)