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需求侧响应对降低发电成本的效益估计

DOI: 10.13334/j.0258-8013.pcsee.2014.07.023, PP. 1198-1205

Keywords: 需求侧响应,负荷曲线,混合整数规划,安全约束机组组合

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Abstract:

实施分时电价的重要目的之一是鼓励用户调整其用电模式,即做出负荷响应。由此希望诱导出更为合理的系统总负荷曲线,即使得电力生产中的总发电成本、煤耗及排放量更小。在实施分时电价前对这种潜在效益做出某种估计,找到最满意的总负荷曲线,对于制定合理的电价至关重要。为此,对负荷响应导致的发电成本降低效益提出了一种估计方法。该方法基于求解一种特殊形式的安全约束机组组合问题而实现,同时也得到了使总发电成本最低的最优系统总负荷曲线。有关数值试验结果验证了方法的有效性。由于电价曲线与负荷曲线之间的密切联系,所以该方法可以为制定合理的电力定价策略提供参考。

References

[1]  Albadi M H, El-Saadany E F.A summary of demand response in electricity markets[J].Electric Power Systems Research, 2008, 78(11):1989-1996.
[2]  Sheen J N, Chen C S, Yang J K.Time-of-use pricing for load management programs in Taiwan Power Company [J].IEEE Transactions on Power Systems, 1994, 9(1):388-396.
[3]  Zeng S, Li J, Ren Y.Research of time-of-use electricity pricing models in china:a survey[C]// IEEE International Conference on Industrial Engineering and Engineering Management.Singapore:IEEE, 2008:2191-2195.
[4]  He Y Q , David A K.Time-of-use electricity pricing based on global optimization for generation expansion planning[C]//Proceedings of the 4th International Conference on Advances in Power System Control, Operation and Management.London:IEE, 1997(2):668-673.
[5]  Tang Y, Song H, Hu F, et al.Investigation on TOU pricing principles[C]//Transmission and Distribution Conference and Exhibition:Asia and Pacific.Dalian, China:IEEE/PES, 2005:1-9.
[6]  Choi J Y, Rim S H, Park J K.Optimal real time pricing of real and reactive powers[J].IEEE Transactions on Power Systems, 1998, 13(4):1226-1231.
[7]  Sæle H, Grande O S.Demand response from household customers: Experiences from a pilot study in Norway [J].IEEE Transactions on Smart Grid, 2011, 2(1):102-109.
[8]  Samadi P, Mohsenlan-rad A, Schober R, et al.Optimal real-time pricing algorithm based on utility maximization for smart grid[C]//2010 First IEEE International Conference on Smart Grid Communication.Gaithersburg, MD:IEEE, 2010:415-420.
[9]  Crew M A, Fernando C S, Kleindorfer P R.The theory of peak-load pricing:a survey[J].Journal of Regulatory Economics, 1995, 8(3):215-248.
[10]  Conejo A J, Morales J M, Baringo L.Real-time demand response model[J].IEEE Trans. on Smart Grid, 2010, 1(3):236-242.
[11]  Fahrioglu M, Alvarado F L.Using utility information to calibrate customer demand management behavior models[J].IEEE Trans. on Power Systems, 2001, 16(2):317-322.
[12]  Jia-hai Y.Customer response under time-of-use electricity pricing policy based on multi-agent system simulation [C]//Power Systems Conference and Exposition, 2006.Atlanta, GA, USA:IEEE PES, 2006:814 -818.
[13]  Kirschen D S, Strbac G, Cumperayot P, et al. Factoring the elasticity of demand in electricity prices[J].IEEE Trans. on Power Systems, 2000, 15(2):612-617.
[14]  Zhu Z, Tang J, Lambotharan S, et al.An integer linear programming based optimization for home demand-side management in smart grid[C]//Innovative Smart Grid Technologies(ISGT).Washington, DC, USA:IEEE PES, 2012:1-5.
[15]  Shaw J J.A direct method for security-constrained unit commitment[J].IEEE Trans. on Power Systems, 1995, 10(3):1329-1342.
[16]  Guan X, Guo S, Zhai Q.The conditions for obtaining feasible solutions to security-constrained unit commitment problems[J].IEEE Trans. on Power Systems, 2005, 20(4):1746-1756.
[17]  Guan X, Zhai Q, Papalexopoulos A.Optimization based methods for unit commitment:Lagrangian relaxation versus general mixed integer programming[C]//Power Engineering Society General Meeting.Toronto, Ontario, Canada:IEEE, 2003:1095-1100.
[18]  Zhai Q, Guan X, Yang J.Fast unit commitment based on optimal linear approximation to nonlinear fuel costs:error analysis and applications[J].Electric Power Systems Research, 2009, 79(11):1604-1613.

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