Light Robust Planning for Generation Expansion Considering Flexibility Reformation of Thermal Power Unit

被引:0
作者
Ma L. [1 ]
Wu Y. [1 ]
Liang Y. [2 ]
Lou S. [1 ]
Dong C. [3 ]
机构
[1] State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan
[2] Power Dispatch and Control Center of China Southern Power Grid, Guangzhou
[3] Electric Power Dispatching and Control Center of Guangdong Power Grid Co., Ltd., Guangzhou
来源
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2020年 / 44卷 / 11期
基金
中国国家自然科学基金;
关键词
Flexibility reformation; Generation expansion planning; Light robust optimization; Wind power accommodation;
D O I
10.7500/AEPS20191101006
中图分类号
学科分类号
摘要
The uncertainty of wind power output brings great challenges to the planning and optimal operation of power system. The flexibility reformation of thermal power units can effectively improve the peak regulation capacity of the power system and promote the accommodation of wind power. The uncertain wind power output is modeled by box constraint and 1-norm constraint. By considering the technical advantages and economic cost of the flexibility reformation of thermal power units, from the perspective of the overall value of the power system, and based on the light robust optimization theory, a generation expansion planning model with the minimum sum of investment cost and system operation cost is established. The proposed model improves the conservative degree of the traditional robust planning model and improves the economy of the planning scheme. The improved model is analyzed in the improved IEEE-RTS24 node system and an actual system of a regional power grid. Results of the example verify the robustness and economy of the proposed model. © 2020 Automation of Electric Power Systems Press.
引用
收藏
页码:102 / 110
页数:8
相关论文
共 27 条
  • [1] China 2050 high renewable energy penetration scenario and roadmap study
  • [2] Integration and operation of wind power in 2018
  • [3] KANG Chongqing, YAO Liangzhong, Key scientific issues and theoretical research framework for power systems with high proportion of renewable energy, Automation of Electric Power Systems, 41, 9, pp. 2-11, (2017)
  • [4] LI Peng, YU Danwen, YANG Ming, Et al., Flexible look-ahead dispatch realized by robust optimization considering CVaR of wind power, IEEE Transactions on Power Systems, 33, 5, pp. 5330-5340, (2018)
  • [5] QIU Jing, DONG Zhaoyang, ZHAO Junhua, Et al., A risk-based approach to multi-stage probabilistic transmission network planning, IEEE Transactions on Power Systems, 31, 6, pp. 4867-4876, (2016)
  • [6] JUAN M, SILVA V, OCHOA L F, Et al., Evaluating the profitability of flexibility, 2012 IEEE Power and Energy Society General Meeting, pp. 1-8, (2012)
  • [7] LU Zongxiang, LI Haibo, QIAO Ying, Flexibility evaluation and supply/demand balance principle of power system with high-penetration renewable electricity, Proceedings of the CSEE, 37, 1, pp. 9-20, (2017)
  • [8] ZHAO Yongliang, LIU Ming, WANG Chaoyang, Et al., Increasing operational flexibility of supercritical coal-fired power plants by regulating thermal system configuration during transient processes, Applied Energy, 228, pp. 2375-2386, (2018)
  • [9] GARDARSDOTTIR S, GORANSSON L, NORMANN F, Et al., Improving the flexibility of coal-fired power generators: impact on the composition of a cost-optimal electricity system, Applied Energy, 209, pp. 277-289, (2018)
  • [10] LI Xingmei, ZHONG Zhiming, YAN Jie, Flexibility reformation planning of thermal power units with large-scale integration of wind power, Automation of Electric Power Systems, 43, 3, pp. 51-57, (2019)