AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (701 KB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Open Access

Accommodating Uncertain Wind Power Investment and Coal-fired Unit Retirement by Robust Energy Storage System Planning

Dundun LiuShenxi Zhang( )Haozhong ChengLu LiuZheng WangDa SangRuijin Zhu
Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China
State Grid East China Branch, Shanghai 200002, China
State Grid Shanghai Municipal Electric Power Company, Shanghai 200002, China
Show Author Information

Abstract

Increasing wind power integration and coal-fired unit retirements increases the strain on the power system’s spinning reserve and increases the pressure on peak regulation. With the ability to stock extra power generation and supply the peak load, the energy storage system (ESS) can alleviate the rising demand on the spinning reserve and play an increasingly important role in the power system. In this paper, a tri-level robust ESS planning model is proposed to accommodate uncertain wind power investment as well as coal-fired unit retirement. The upper-level of this model is to determine the planning scheme of ESSs, which iteratively takes the worst-case scenario of wind power investment and coal-fired unit retirement into consideration. The middle-level and lower-level of this model are to make the optimal daily economic dispatch under the worst-case realizations of uncertainties. We derive an equivalent reformulation of the proposed robust ESS planning model and solve it with a dual column-and-constraint generation algorithm. Case studies are conducted using the IEEE RTS-79 system. The results demonstrate the superiority of the proposed planning method in comparison with other methods. Furthermore, the effects of the capital cost of ESS, the expected proportion of wind power, and the uncertainty budget on the development of ESS are studied. Taking the uncertainties of unit retirement and wind power investment into consideration achieves a better trade-off between the ESS investment cost and the operational cost.

References

[1]
National Energy Administration. Reports on wind power annual operation [Online]. Available: http://www.nea.gov.cn/2019-01/28/c_137780779.htm.Jan.2019.
[2]
Development and Reform Commission, National Energy Administration. Thirteenth five year plan for power sector development[Online]. Available: https://www.ndrc.gov.cn/fggz/fzzlgh/gjjzxgh/201706/t20170605_1196777.html.Jun.2017.
[3]
Y. Xu, M. Yin, Z. Y. Dong, R. Zhang, D. J. Hill, and Y. C. Zhang, “Robust dispatch of high wind power-penetrated power systems against transient instability,” IEEE Transactions on Power Systems, vol. 33, no. 1, pp. 174–186, Jan. 2018.
[4]
B. K. Chen and L. Z. Wang, “Robust transmission planning under uncertain generation investment and retirement,” IEEE Transactions on Power Systems, vol. 31, no. 6, pp. 5144–5152, Nov. 2016. .
[5]
F. J. Luo, K. Meng, Z. Y. Dong, Y. Zheng, Y. Y. Chen, and K. P. Wong, “Coordinated operational planning for wind farm with battery energy storage system,” IEEE Transactions on Sustainable Energy, vol. 6, no. 1, pp. 253–262, Jan. 2015. .
[6]
N. Zhang, X. Lu, M. B. McElroy, C. P. Nielsen, X. Y. Chen, Y. Deng, and C. Q. Kang, “Reducing curtailment of wind electricity in china by employing electric boilers for heat and pumped hydro for energy storage,” Applied Energy, vol. 184, pp. 987–994, Dec. 2016.
[7]
M. Ghofrani, A. Arabali, M. Etezadi-Amoli, and M. S. Fadali, “Energy storage application for performance enhancement of wind integration,” IEEE Transactions on Power Systems, vol. 28, no. 4, pp. 4803–4811, Nov. 2013. .
[8]
S. Bahramirad, W. Reder, and A. Khodaei, “Reliability-constrained optimal sizing of energy storage system in a microgrid,” IEEE Transactions on Smart Grid, vol. 3, no. 4, pp. 2056–2062, Dec. 2012. .
[9]
F. J. De Sisternes, J. D. Jenkins, and A. Botterud, “The value of energy storage in decarbonizing the electricity sector,” AppliedEnergy, vol. 175, pp. 368–379, Aug. 2016. .
[10]
P. Xiong and C. Singh, “Optimal planning of storage in power systems integrated with wind power generation,” IEEE Transactions on Sustainable Energy, vol. 7, no. 1, pp. 232–240, Jan. 2016.
[11]
A. J. Conejo, Y. H. Cheng, N. Zhang, and C. Q. Kang, “Long-term coordination of transmission and storage to integrate wind power,” CSEE Journal of Power and Energy Systems, vol. 3, no. 1, pp. 36–43, Mar. 2017.
[12]
N. Zhang, C. Q. Kang, D. S. Kirschen, Q. Xia, W. M. Xi, J. H. Huang, and Q. Zhang, “Planning pumped storage capacity for wind power integration,” IEEE Transactions on Sustainable Energy, vol. 4, no. 2, pp. 393–401, Apr. 2013.
[13]
S. Dehghan and N. Amjady, “Robust transmission and energy storage expansion planning in wind farm-integrated power systems considering transmission switching,” IEEE Transactions on Sustainable Energy, vol. 7, no. 2, pp. 765–774, Apr. 2016. .
[14]
R. A. Jabr, I. Džafić, and B. C. Pal, “Robust optimization of storage investment on transmission networks,” IEEE Transactions on Power Systems, vol. 30, no. 1, pp. 531–539, Jan. 2015. .
[15]
R. Fernández-Blanco, Y. Dvorkin, B. L. Xu, Y. S. Wang, and D. S. Kirschen, “Optimal energy storage siting and sizing: a wecc case study,” IEEE Transactions on Sustainable Energy, vol. 8, no. 2, pp. 733–743, Apr. 2017.
[16]
P. Fortenbacher, A. Ulbig, and G. Andersson, “Optimal placement and sizing of distributed battery storage in low voltage grids using receding horizon control strategies,” IEEE Transactions on Power Systems, vol. 33, no. 3, pp. 2383–2394, May 2018.
[17]
A. S. A. Awad, T. H. M. El-Fouly, and M. M. A. Salama, “Optimal ess allocation for load management application,” IEEE Transactions on Power Systems, vol. 30, no. 1, pp. 327–336, Jan. 2015.
[18]
Y. Yang, H. Li, A. Aichhorn, J. P. Zheng, and M. Greenleaf, “Sizing strategy of distributed battery storage system with high penetration of photovoltaic for voltage regulation and peak load shaving,” IEEE Transactions on Smart Grid, vol. 5, no. 2, pp. 982–991, Mar. 2014.
[19]
Y. Wang, N. Zhang, C. Q. Kang, M. Miao, R. Shi, and Q. Xia, “An efficient approach to power system uncertainty analysis with high-dimensional dependencies,” IEEE Transactions on Power Systems, vol. 33, no. 3, pp. 2984–2994, May 2018. .
[20]
A. Ben-Tal, A. Goryashko, E. Guslitzer, and A. Nemirovski, “Adjustable robust solutions of uncertain linear programs,” MathematicalProgramming, vol. 99, no. 2, pp. 351–376, Mar. 2004. .
[21]
R. W. Jiang, J. H. Wang, and Y. P. Guan, “Robust unit commitment with wind power and pumped storage hydro,” IEEE Transactions on Power Systems, vol. 27, no. 2, pp. 800–810, May .
[22]
A. Street, A. Moreira, and J. M. Arroyo, “Energy and reserve scheduling under a joint generation and transmission security criterion: an adjustable robust optimization approach,” IEEE Transactions on Power Systems, vol. 29, no. 1, pp. 3–14, Jan. 2014. .
[23]
J. Li, Z. Y. Li, F. Liu, H. X. Ye, X. M. Zhang, S. W. Mei, and N. C. Chang, “Robust coordinated transmission and generation expansion planning considering ramping requirements and construction periods,” IEEE Transactions on Power Systems, vol. 33, no. 1, pp. 268–280, Jan. 2018. .
[24]
D. Bertsimas, E. Litvinov, X. A. Sun, J. Y. Zhao, and T. X. Zheng, “Adaptive robust optimization for the security constrained unit commitment problem,” IEEE Transactions on Power Systems, vol. 28, no. 1, pp. 52–63, Feb. 2013. .
[25]
J. F. Benders, “Partitioning procedures for solving mixed-variables programming problems,” Numerische Mathematik, vol. 4, no. 1, pp. 238–252, Dec. 1962. .
[26]
B. Zeng and L. Zhao, “Solving two-stage robust optimization problems using a column-and-constraint generation method,” Operations Research Letters, vol. 41, no. 5, pp. 457–461, Sep. 2013. .
[27]
R. Mínguez and R. García-Bertrand, “Robust transmission network expansion planning in energy systems: improving computational performance,” European Journal of Operational Research, vol. 248, no. 1, pp. 21–32, Jan. 2016. .
[28]
National Development and Reform Commission and the National Energy Administration.Some opinions on speeding up the shutdown of small thermal power units[Online]. Available: http://www.gov.cn/zwgk/2007-01/26/content_509911.htm.Jan.2007.
[29]
Fujian Development and Refrom Commission. The 13th five-year plan for energy development of Fujian province [Online]. Available: http://fgw.fujian.gov.cn/xxgk/ghjh/ghdt/201611/t20161130_820871.htm.Nov.2016.
[30]
Zhejiang Development and Reform Commission. The 13th five-year plan for electric power development of Zhejiang province [Online]. Available: http://fzggw.zj.gov.cn/art/2016/9/19/art_1599544_30219029.html.Sep.2016.
[31]
Jiangsu Development and Reform Commission. The 13th five-year plan for electric power development of Jiangsu province [Online]. Available:http://fzggw.jiangsu.gov.cn/art/2016/12/30/art_292_6652626.html.Dec.2016.
[32]
IBM ILOG CPLEX[Online]. Available: https://www.ibm.com/products/ilog-cplex-optimization-studio.Jun.2020.
[33]
Gurobi optimizer[Online]. Available: http://www.gurobi.com.Jun.2020.
[34]
P. M. Subcommittee, “IEEE reliability test system,” IEEE Transactions on Power Apparatus and Systems, vol. 98, no. 6, pp. 2047–2054, Nov. 1979. .
[35]
R. D. Zimmerman, C. E. Murillo-Sanchez, and R. J. Thomas, “Matpower: Steady-state operations, planning, and analysis tools for power systems research and education,” IEEE Transactions on Power Systems, vol. 26, no. 1, pp. 12–19, Feb. 2011. .
[36]
J. Löfberg. Yalmip: A toolbox for modeling and optimization in matlab[Online]. Available: https://yalmip.github.io/.Jan.2016.
[37]
H.S. Oh, “Optimal planning to include storage devices in power systems,” IEEE Transactions on Power Systems, vol. 26, no. 3, pp. 1118–1128, Aug. 2011. .
CSEE Journal of Power and Energy Systems
Pages 1398-1407
Cite this article:
Liu D, Zhang S, Cheng H, et al. Accommodating Uncertain Wind Power Investment and Coal-fired Unit Retirement by Robust Energy Storage System Planning. CSEE Journal of Power and Energy Systems, 2022, 8(5): 1398-1407. https://doi.org/10.17775/CSEEJPES.2019.01890

796

Views

13

Downloads

4

Crossref

N/A

Web of Science

8

Scopus

0

CSCD

Altmetrics

Received: 22 September 2019
Revised: 19 February 2020
Accepted: 03 March 2020
Published: 06 April 2020
© 2019 CSEE
Return