Study on Spot Market Clearing Model of Regional Power Grid Considering AC/DC Hybrid Connection

被引：0
作者：
Peng C. [1 ]
Gu H. [1 ]
Zhu W. [1 ]
Xu D. [1 ]
Zhao W. [2 ]
Xia Q. [3 ]
Lai X. [4 ]
Dong C. [5 ]
机构：
[1] Power Dispatch and Control Center, China Southern Power Grid Co., Ltd., Guangzhou, 510670, Guangdong Province
[2] Electric Power Research Institute, China Southern Power Grid Co., Ltd., Guangzhou, 510670, Guangdong Province
[3] Department of Electrical Engineering, Tsinghua University, Haidian District, Beijing
[4] Tsinghua Sichuan Energy Internet Research Institute, Chengdu, 610000, Sichuan Province
[5] Beijing TsIntergy Technology Co., Ltd., Haidian District, Beijing
来源：
Dianwang Jishu/Power System Technology | 2020年 / 44卷 / 01期
关键词：
AC/DC hybrid; Clearing model; Regional electricity market; Spot market;
D O I：
10.13335/j.1000-3673.pst.2019.2258
中图分类号：
学科分类号：
摘要：
Different from the full AC line structure in provincial power grid, regional power grid is usually AC/DC hybrid. To build a spot market clearing model of regional power grid, this situation needs to consider. For this reason, this paper firstly analyses the differences between AC/DC hybrid power grid and pure AC power grid in design of spot electricity market, and puts forward corresponding AC/DC tie-line power optimization mechanism, framework agreement implementation power processing mechanism, tie-line loss processing mechanism, and tie-line transmission and distribution price processing mechanism. On this basis, combined with provincial spot market clearing model, a spot market clearing model of regional power grid considering AC/DC interconnection is constructed, including the security constraints of unit commitment, the security constraints of economic dispatch and node pricing model. Through joint clearing of regional power grids, optimal allocation of power resources can significantly improve social and economic benefits compared to single province market. Finally, an example is given to verify correctness and validity of the proposed model. © 2020, Power System Technology Press. All right reserved.
引用
收藏
页码：323 / 331
页数：8
相关论文
共 12 条
  • [1] Liang Z., Thoughts on the future development of southern regional power market, China Power Enterprise Management, 7, pp. 61-63, (2018)
  • [2] Zou P., Chen Q., Xia Q., Et al., Logical analysis of electricity spot market design in foreign countries and enlightenment and policy suggestions for China, Automation of Electric Power Systems, 38, 13, pp. 18-27, (2014)
  • [3] Motto A.L., Galiana F.D., Unit commitment with dual variable constraints, IEEE Transactions on Power Systems, 19, 1, pp. 330-338, (2004)
  • [4] Li L., Gu L., Zhao S., Et al., Electricity market clearing algorithm considering congestion elimination based on block bidding model, Electric Power Automation Equipment, 27, 4, pp. 1-5, (2007)
  • [5] Shang J., Zhang Z., Han G., Study on transaction model and mechanism of competitive regional electricity market part one transaction model and mechanism, participation mode for hydroelectricity participants and power system security checking mechanism, Automation of Electric Power Systems, 29, 12, pp. 7-14, (2005)
  • [6] Geng J., Wang X., Chen H., Et al., Market operation mode, rules and models for block bidding power market, Journal of Xi'an Jiaotong University, 37, 6, pp. 599-603, (2003)
  • [7] Zhang X., Chen Q., Ge R., Et al., Clearing model of electricity spot market considering flexible block orders, Automation of Electric Power Systems, 41, 24, pp. 41-47, (2017)
  • [8] Bahrami S., Wong V.W.S., Security-constrained unit commitment for AC-DC grids with generation and load uncertainty, IEEE Transactions on Power Systems, 33, pp. 2717-2732, (2018)
  • [9] Zhou M., Zhai J., Li G., Et al., Distributed dispatch approach for bulk AC/DC hybrid systems with high wind power penetration, IEEE Transactions on Power Systems, 33, pp. 3325-3336, (2018)
  • [10] Ge X., Hao G., Xia S., Et al., An optimal system scheduling method with high proportion of wind power, Power System Technology, 43, 2, pp. 41-51, (2019)
12