A Model of Continuous Optimized Power Flow with DR

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Abstract:

A model of continuous optimized power flow (COPF) is proposed, concluding demand response (DR). According to different implementation mechanisms, a series of DR models are built, such as: time of use (TOU), real time price (RTP), critical peak price (CPP), and interruptible load (IL). The influences of these kinds of DR on power system are analyzed, including peak load reduction, cost reduction, and reservation optimization. The results show that: DR can cut the cost, reduce the peak load, and promote the reservation optimization.

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Periodical:

Advanced Materials Research (Volumes 805-806)

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452-457

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September 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] WANG Qingran, XIE Guohui, ZHANG Lizi. An Integrated Generation consumption Dispatch Model with Wind Power. [J]. Automation of Electric Power Systems. 2011. 35(5): 15-18.

Google Scholar

[2] The Brattle Group, Freeman, Sullivan&Co. Global Energy Partners. A national assessment of demand response potential [R]. Federal Energy Regulatory Commission Staff report. June (2009).

Google Scholar

[3] Keane,et al.Demand side resource operation on the Irish power system with high wind power penetration [J].Energy Policy,2011:2925–2934.

DOI: 10.1016/j.enpol.2011.02.071

Google Scholar

[4] Ramteen Sioshansi.Evaluating the Impacts of Real-Time Pricing on the Cost and Value of Wind Generation [J].IEEE Transactions on Power Systems,2010,25(2):741–748.

DOI: 10.1109/tpwrs.2009.2032552

Google Scholar

[5] ZHANG Qin, WANG Xifan, WANG Jian -xue, etc. Survey of Demand Response Research in Deregulated Electricity Markets[J]. Automation of Electric Power Systems. 2008. 32(3): 97-106.

Google Scholar

[6] PEI Li-jun. Analysis and experience of demand response operation mode and incentive mechanism overseas[J]. Power DSM: 2012. 15(2): 57-60.

Google Scholar

[7] Duncan S. Callaway and Ian A. Hiskens.Achieving Controll ability of Loads[J].Proceedings of the IEEE. 2011,99(1):184-199.

Google Scholar

[8] M.H. Albadi E.F. El-Saadany. A summary of demand response in electricity markets. [J]. Electric Power System Research. 2008. 78(11): 1989-(1996).

DOI: 10.1016/j.epsr.2008.04.002

Google Scholar

[9] Kathleen Spees, Lester B. Lave. Demand Response and Electricity Market Efficiency [J]. The Electric Journal. 2007. 20(3): 69-85.

DOI: 10.1016/j.tej.2007.01.006

Google Scholar

[10] Federal Energy Regulatory Commission. Assessment of demand response and advanced metering: 2006 staff report [EB/OL]. [2007-07-21]. http: /www. ferc. gov legal/staff-reports/ demand- response . pdf.

Google Scholar

[11] SUN Xin, TONG Ming-guang, ZHANG Qing-bo, etc. A Study on Management Model of Secondary Reserve for Ancillary services Market. [J]. Proceedings of CSEE. 2004. 24(3): 30-33.

Google Scholar