Economic Analysis of Peaking Regulation of Coal-fired Generating Units Under Big Data

被引：0

作者：

Yang Z. ^{[1
]}

Li K. ^{[1
]}

Wang N. ^{[1
]}

Li R. ^{[2
]}

Jin Z. ^{[1
]}

Yang M. ^{[1
]}

Guo X. ^{[1
]}

机构：

[1] National Thermal Power Engineering & Technology Research Center, North China Electric Power University, Changping District, Beijing

[2] Ningxia Jingneng Ningdong Electric Power Co., Ltd, Yinchuan, 750000, Ningxia Hui Autonomous Region

来源：

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2019年 / 39卷 / 16期

基金：

中国国家自然科学基金;

关键词：

Compensation price; Forecast analysis; Levelized cost of energy (LCOE); Peak regulation economy; Thermal power unit;

D O I：

10.13334/j.0258-8013.pcsee.181175

中图分类号：

学科分类号：

摘要：

With the continuous development of new energy and power system, the peak adjustment situation of energy network is becoming more and more serious. Under the new normal, frequent and deep peak adjustment and especially the high coal price has made serious challenges to thermal Power units. In order to explore the economy of the thermal power unit in peak regulation and meet the adverse effects of peak regulation, a real-time levelized cost of energy (LCOE) model was proposed; the benefit calculation model and the compensation price forecasting model were established. With the use of data mining methods such as sliding window and the BP neural network, this paper has made the forecast analysis on the real-time LCOE of the case unit, and finally obtained the compensation price that in different conditions to provide data reference for the peak regulation of the units. © 2019 Chin. Soc. for Elec. Eng.

引用

页码：4808 / 4818

页数：10

共 19 条

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