Quantification and Allocation Model of Peak Regulation Cost for Power System with High Proportion of Renewable Energy

被引：0

作者：

Ye L. ^{[1
]}

Yao J. ^{[1
]}

Yang S. ^{[2
]}

Ouyang X. ^{[1
]}

Yin J. ^{[1
]}

Zhu X. ^{[1
]}

机构：

[1] College of Electrical and Information Engineering, Hunan University, Changsha

[2] College of Computer Science, Hunan University of Technology and Business, Changsha

来源：

Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2022年 / 46卷 / 15期

关键词：

cost allocation; net load; peak regulation; renewable energy generation; volatility;

D O I：

10.7500/AEPS20211217003

中图分类号：

学科分类号：

摘要：

The integration of high-proportion renewable energy requires higher peak regulation capability of power systems. Improving the cost allocation mechanism of peak regulation auxiliary services is conducive to promoting renewable energy accommodation. In this paper, from the perspective of net load fluctuations, a quantification and allocation model for peak regulation costs is established. Alternative scenarios without peak regulation demand are constructed to convert the load and renewable energy output curves into mean curves without fluctuations, respectively. Then, a scheduling optimization model including deep peak regulation and pumped storage units is established to calculate the peak regulation cost in different scenarios, and the difference between the system peak regulation cost in the two scenarios with and without peak regulation demand is taken as the marginal peak regulation cost caused by a single entity. Then the Shapley value is used to calculate the peak regulation cost caused by different entities. Finally, the peak regulation cost is allocated according to the incurrence degree of costs. The calculation example shows that the proposed quantification model of peak regulation cost can reflect the peak regulation cost caused by different entities or their peak regulation contribution value, and the cost allocation mechanism can transmit the peak regulation cost information. © 2022 Automation of Electric Power Systems Press. All rights reserved.

引用

页码：20 / 28

页数：8

共 29 条

[1] SHU Yinbiao, ZHANG Zhigang, GUO Jianbo, Et al., Study on key factors and solution of renewable energy accommodation［J］, Proceedings of the CSEE, 37, 1, pp. 1-9, (2017)
[2] Chongqing KANG, YAO Liangzhong, Key scientific issues and theoretical research framework for power systems with high proportion of renewable energy［J］, Automation of Electric Power Systems, 41, 9, pp. 2-11, (2017)
[3] LIU Yongqi, ZHANG Hongpeng, LI Qun, Et al., Design and practice of peak regulation ancillary service market for Northeast China power grid［J］, Automation of Electric Power Systems, 41, 10, pp. 148-154, (2017)
[4] DING Qiang, REN Yuan, HU Xiaojing, Et al., Design and practice of joint optimization mechanism for spot market and deep peak shaving regulation market of Shanxi in China［J］, Power System Technology, 45, 6, pp. 2219-2228, (2021)
[5] SHI Puxin, SHI Peiran, WANG Peiwen, Et al., Analysis and operation evaluation of power peak-shaving ancillary service market in North China ［J］, Automation of Electric Power Systems, 45, 20, pp. 175-184, (2021)
[6] SHI Xionghua, XUE Zhong, TANG Jian, Et al., Practice of peak regulation ancillary service market in Guangxi of China considering coordinative optimization of thermal power peak regulation resources［J］, Automation of Electric Power Systems, 45, 22, pp. 183-190, (2021)
[7] LIN Li, TIAN Xinyu, Analysis of deep peak regulation and its benefit of thermal units in power system with large scale wind power integrated［J］, Power System Technology, 41, 7, pp. 2255-2263, (2017)
[8] LIN Li, TIAN Xinyu, CAI Xuexuan, Gas unit deep peak regulation and power system energy efficiency in consideration of conditional cost［J］, Automation of Electric Power Systems, 42, 11, pp. 16-23, (2018)
[9] YANG Zhiping, LI Kerun, WANG Ningling, Et al., Economic analysis of peaking regulation of coal-fired generating units under big data［J］, Proceedings of the CSEE, 39, 16, pp. 4808-4818, (2019)
[10] Jun XIE, LI Zhenkun, ZHANG Meidan, Et al., Peaking value quantification and cost compensation for generators ［J］, Transactions of China Electrotechnical Society, 28, 1, pp. 271-276, (2013)

← 1 2 3 →