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SCIENTIA SINICA Informationis, Volume 48, Issue 10: 1287-1299(2018) https://doi.org/10.1360/N112018-00061

Electricity pricing theory based on continuous time commodity model

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  • ReceivedJul 28, 2018
  • AcceptedSep 13, 2018
  • PublishedOct 25, 2018

Abstract

The theory of spot pricing forms the basis of power market design in several countries. However, this theory has two major drawbacks. First, it is based on the traditional hourly scheduling/dispatch model, it ignores the critical influence of time continuity in the electric power production/consumption on cost and power system operation, and it fails to address intertemporal constraints. The second drawback is that it assumes that electric products are homogeneous in the same dispatch period and cannot distinguish among the base, intermediate, and peak load powers with different technical and economic characteristics. This study aims to present a continuous time commodity model of electricity, which comprise spot pricing and load duration pricing methods, to overcome the abovementioned shortcomings of the spot pricing theory. Market optimization models in traditional electricity market theories were then changed accordingly from a static optimization problem to a functional optimization problem. The feasibility of load duration pricing was validated by strict mathematical derivation. The proposed theory and methods will provide new concepts and theoretical foundation for the development of electric power markets globally and in China.


Funded by

国家重点研发计划(2016YFB0900100)


References

[1] Schweppe F C, Caramanis M C, Tabors R D, et al. Spot Pricing of Electricity. Boston: Kluwer Academic Publishers, 1988. Google Scholar

[2] Bohn R E. Spot pricing of public utility services. Dissertation for Ph.D. Degree. Cambridge: Massachusetts Institute of Technology, 1982. Google Scholar

[3] Caramanis M, Bohn R, Schweppe F. Optimal Spot Pricing: Practice and Theory. IEEE Trans Power Apparatus Syst, 1982, PAS-101: 3234-3245 CrossRef ADS Google Scholar

[4] Chen H Y. Electricity cost analysis based on modified lagrangian relaxation optimization. Dissertation for Ph.D. Degree. Xi'an: Xi'an Jiaotong University, 2000. Google Scholar

[5] Perry R. Re: Secretary of Energy's Direction That the Federal Energy Regulatory Commission Issue Grid Resiliency Rules Pursuant to the Secretary's Authority Under Section 403 of the Department of Energy Organization Act. Washington, September 28, 2017.. Google Scholar

[6] U.S. Department of Energy (DOE). Grid Resiliency Pricing Rule. Docket No. RM17-3-000. 2017. https://www.energy.gov/downloads/notice-proposed-rulemaking-grid-resiliency-pricing-rule. Google Scholar

[7] U.S. Department of Energy (DOE). Staff Report to the Secretary on Electricity Markets and Reliability. 2017. https://energy.gov/downloads/download-staff-report-secretary-electricity-markets-and-reliability. Google Scholar

[8] Hogan W W. PJM Price Formation. Letter to Senior Vice President Operations & Markets of PJM Interconnection. 2017. http://www.pjm.com/-/media/library/reports-notices/special-reports/20171115-proposed-enhancements-to-energy-price-formation.ashx. Google Scholar

[9] Elmaghraby W, Oren S S. The Efficiency of Multi-Unit Electricity Auctions. EJ, 1999, 20 CrossRef Google Scholar

[10] Wang X F. Block bidding model based power market. Proc CSEE, 2001, 21: 1--6. Google Scholar

[11] 程其襄,张奠宙,魏国强,等. 实变函数与泛函分析基础(第三版). 北京: 高等教育出版社, 2010. Google Scholar

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