The Combined Generation-Consumption Scheduling Mode Considering Price-Responsive and Interruptible Loads

Abstract:

In order to provide reserve power supply, consumption dispatch can be integrated into the conventional generation dispatch model. This serves as a feasible approach in connecting intermittent power sources such as hydropower into the power grid. An integrated generation-consumption dispatch model with hydropower is presented considering the consumption dispatch mode, such as consumption stimulation, interruptible load management, and price response, etc. Practical case studies show that price-responsive loads and interruptible loads tend to exert great influence on the load distribution which lead to a reallocation of generation among thermal generation units, run-of-river and storage hydropower generation units, which favours the total reservoir storage of the system so that the overall system operational economy can be improved.

• Periodical: Applied Mechanics and Materials (Volumes 448-453)
• Pages: 2740-2746
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.448-453.2740
• Online since: October 2013
• Authors: Yang Yang*, Li Zi Zhang
• Keywords: Hydrothermal Power System, Integrated Generation-Consumption Dispatch, Interruptible Load Management, Price-Responsive Load

References

[1] Laurence D.J., Neenan B.F., The status of demand response in New York, Proc. IEEE Power Engineering Society General Meeting, 2003, 2270–2274.

DOI: 10.1109/pes.2003.1270975

[2] The Nordpool website: http: /www. nordpool. no.

[3] Bunn D.W., Forecasting loads and prices in competitive power markets, Proc. IEEE, 2000, 163–169.

DOI: 10.1109/5.823996

[4] Ju Ge, Lizi Zhang, Pareto optimally model of reserve market including interruptible load as participants, Automation of Electric Power Systems, 30(9), 2006, 34-37. (In Chinese).

[5] Haiying Li, Yuzeng Li, Shaohua Zhang. Model and algorithm of transmission congest ion management based on interruptible load, Automation of Electric Power Systems, 30(10), 2006, 17-21. (In Chinese).

[6] Uturbey W., Simo ˜es Costa, A.J. A, Short term hydrothermal coordination in the presence of price-responsive loads, Proc. IEEE Power Tech Conf., St. Petersburg, 2005, 25-30.

DOI: 10.1109/ptc.2005.4524761

[7] Jiekang Wu, Tang Li, Stochastic optimization scheduling method for hydrothermal power systems with stochastic loads, Proceedings of the CSEE, 32(28), 2012 36-43. (In Chinese).

[8] Hongyu Wu, Xiaohong Guan, Qiaozhu Zhai, Short-term hydrothermal scheduling using mixed-integer linear programming, Proceedings of the CSEE, 29(28), 2009 36-43. (In Chinese).

[9] Franco P.E.C., Carvalho M.F., Soares S. A, Network flow model for short-term hydrothermal scheduling problems, IEEE Trans. Power Syst., 9(2), 1994, 1016-1022.

DOI: 10.1109/59.317642

[10] Soares S., Salmazo C.T., Minimum loss predispatch model for hydroelectric power systems, IEEE Trans. Power Syst., 12 (3), 1997, 1220-1228.

DOI: 10.1109/59.630464

[11] Orrego N.J., Almeida K.C., Zurn H.H., Short term hydrothermal scheduling under bilateral contracts, Proc. IEEE Power Tech Conf., Porto, Portugal, 2001, 10-13.

DOI: 10.1109/ptc.2001.964615

[12] Wei H., Sasaki H., Kubokawa J., Large scale hydrothermal optimal power flow problems based on interior point nonlinear programming, IEEE Trans. Power Syst., 15(1), 2000, 396-403.

DOI: 10.1109/59.852150

[13] He Tzer J, An economic dispatch model incorporating wind power, IEEE Trans on Energy Conversi on , 23(2), 2008, 603-611.

[14] Soder L, Reserve margin planning in a wind-hydro-thermal power system, IEEE Trans. on Power Systems, 8(2), 1993, 564-571.

DOI: 10.1109/59.260826

[15] The ILOG CPLEX, 2008. [EB/OL]. [2012-09-11]. http: /www. ilog. com/products/cplex.

DOI: 10.1287/orms.2007.06.08