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29 September 2020 Peak-shift Optimization Model and Pricing Strategies of Power Trading System in Bay Area
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Abstract

Zhu, W.; Gu, H.J.; Zhou, H.F.; Nie, Y.Q.; Peng, C.Y., and Xu, D.L., 2020. Peak-shift optimization model and pricing strategies of power trading system in bay area. In: Al-Tarawneh, O. and Megahed, A. (eds.), Recent Developments of Port, Marine, and Ocean Engineering. Journal of Coastal Research, Special Issue No. 110, pp. 34–37. Coconut Creek (Florida), ISSN 0749-0208.

The rapid economic development in coastal areas is inseparable from the support of the power trading system. It also poses increasing demands for the power, which results in obvious peaks and troughs in daily power consumption, and causing distribution pressure and power dissipation of the transmission network. Based on the power trading model in Daya Bay area, this paper explores the peak shift optimization model in this coastal area, and establishes a new power trading model to eliminate the impact of power grid monopoly on electricity prices. The results show that the orderly power use in the bilateral trading model can effectively alleviate peak problems in the power trading system; pricing of power system cannot use market bidding, and it must be conducive to the development of high-voltage or ultra-high-voltage power, and also optimized investment by grid companies. The research findings provide a theoretical basis for the realization of power trading between supply and marketing parties.

©Coastal Education and Research Foundation, Inc. 2020
Wen Zhu, Huijie Gu, Huafeng Zhou, Yongquan Nie, Chaoyi Peng, and Danli Xu "Peak-shift Optimization Model and Pricing Strategies of Power Trading System in Bay Area," Journal of Coastal Research 110(sp1), 34-37, (29 September 2020). https://doi.org/10.2112/JCR-SI110-008.1
Received: 1 January 2020; Accepted: 26 February 2020; Published: 29 September 2020
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