Research on Optimization Model and Generation Coal-Saving Effect of Tiered Pricing of Household Electricity Structures

Hui Juan Zhang; Zhong Fu Tan; Hui Xu; He Yin

doi:10.4028/www.scientific.net/AMM.389.126

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 389Research on Optimization Model and Generation...

Research on Optimization Model and Generation Coal-Saving Effect of Tiered Pricing of Household Electricity Structures

Abstract:

For a long time, there is serious cross-subsidization among the power sales prices in China, and tiered pricing of household electricity is a new price measure for power consumption equity, resources utilization rationality and then achieving resources conservation and environmental protection. Based on demand side response theory, the optimization model of tiered pricing of household electricity with objective function of minimum household electricity consumption was built, and the coal-saving effect of tiered pricing was studied. The results of case study indicate that energy and coal saving effect of tiered pricing is remarkable.

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Periodical:

Applied Mechanics and Materials (Volume 389)

Pages:

126-130

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.389.126

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Online since:

August 2013

Authors:

Hui Juan Zhang, Zhong Fu Tan, Hui Xu, He Yin

Keywords:

Coal Saving Effect, Demand Response, Electricity Price Optimization, Generation Structure, Tiered Electricity Pricing

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References

[1] HUANG Hai-tao, ZHANG Li-zi, QIAO Hui-ting, DU Ning. A method to determine step-shaped electricity consumption levels for residential area based on Variable-Density Clustering. In: Power System Technology, Vol. 34, Issue 11 (2010), pp.111-116.

Google Scholar

[2] HUANG Hai-tao. Design model for residential block electricity pricing structure and level. In: East China Electric Power, Vol. 40, Issue 5 (2012), pp.721-727.

Google Scholar

[3] ZHU Ke-ding, SONG Yi-hang, TAN Zhong-fu, WU Hai-lin. Design Optimization Model for Tiered Pricing of Household Electricity Consumption. In: East China Electric Power, Vol. 39, Issue 6 (2011), pp.826-867.

Google Scholar

[4] LI Yuan, LUO Qin, SONG Yi-qun, XU Jian, CAI Lei, GU Jun. Tiered pricing mechanism based on Fuzzy demand response. In: East China Electric Power, Vol. 40, Issue 3(2012), pp.367-372.

Google Scholar

[5] LI Yuan, LUO Qin, SONG Yi-qun, XU Jian, CAI Lei, GU Jun. Study on tiered level determination of TOU & tiered pricing for residential electricity based on demand response. In: Power System Protection and Control, Vol. 40, Issue 18(2010), pp.65-68.

Google Scholar

[6] HUANG Hai-tao. A joint pptimization model of residential Time-of-Use block electricity rate. In: Power System Technology, Vol. 36, Issue 10(2012), pp.253-258.

Google Scholar