考虑系统灵活性的储能-输电线路扩展联合规划

doi:10.11930/j.issn.1004-9649.202007062

中国电力 ›› 2021, Vol. 54 ›› Issue (4): 158-167.DOI: 10.11930/j.issn.1004-9649.202007062

考虑系统灵活性的储能-输电线路扩展联合规划

李佳明¹, 李文启², 鲁宗相¹, 乔颖¹, 高东学², 刘韶林²

1. 电力系统及发电设备控制和仿真国家重点实验室（清华大学）, 北京 100084;
2. 国网河南省电力公司, 河南郑州 450052

收稿日期:2020-07-17 修回日期:2020-07-24 发布日期:2021-04-23
作者简介:李佳明(1998-),男,博士研究生,从事电力系统灵活性建模与分析、电力储能运行与规划研究,E-mail:jm-li19@mails.tsinghua.edu.cn;李文启(1963-),男,高级工程师(教授级),从事规模化储能技术应用、大电网安全稳定研究,E-mail:liwenqi@ha.sgcc.com.cn;鲁宗相(1974-),男,通信作者,博士,副教授,从事电力系统可靠性、风电/太阳能发电并网分析与控制、分布式电源及微电网、能源与电力宏观规划研究,E-mail:luzongxiang98@tsinghua.edu.cn;乔颖(1981-),女,博士,副教授,从事新能源、分布式发电、电力系统安全与控制研究,E-mail:qiaoying@tsinghua.edu.cn
基金资助:
国家电网有限公司科技项目(多点布局分布式储能系统在电网的聚合效应研究及应用示范，52170217000M)

Joint Expansion Planning of Energy Storage and Transmission Considering Power System Flexibility

LI Jiaming¹, LI Wenqi², LU Zongxiang¹, QIAO Ying¹, GAO Dongxue², LIU Shaolin²

1. State Key Laboratory of Control and Simulation of Power System and Generation Equipments (Tsinghua University), Beijing 100084, China;
2. State Grid Henan Electric Power Company, Zhengzhou 450052, China

Received:2020-07-17 Revised:2020-07-24 Published:2021-04-23
Supported by:
This work is supported by Science and Technology Project of State Grid Corporation of China ( Research and Application Demonstration of the Aggregation Effect of Multipoint Distributed Energy Storage in Power Grid, No.52170217000M)

摘要/Abstract

摘要： 强随机波动性的高比例风光电源接入及输送网络规划需要兼顾电力电量平衡和灵活性平衡，经典的输电线路扩展难以满足要求，储能-输电联合规划成为新的解决方案。建立基于灵活性定量评估的储能与输电线路扩展联合优化规划方法。首先，从灵活性角度分析“储-输”联合规划在兼顾电力电量平衡和灵活调节能力上的技术特点和优势；然后，建立考虑灵活性的“储-输”联合规划模型，并提出启发式与数学规划相结合的求解方法；最后，基于改进的Garver-6算例系统进行算法验证，结果表明：在高比例可再生能源场景下，“储-输”联合规划具备更好的经济性；储能有效改善了系统的上调灵活性，但成本是制约其规划容量扩大的重要因素。

关键词: 高比例新能源, 电池储能, 容量配置, 灵活性, 储-输联合规划

Abstract: In order to accommodate high-penetration wind & PV power sources with strong fluctuation and randomness, the access of renewables and planning of transmission grids not only need to consider the balance of electricity, but also the balance of flexibility capacity. On this occasion, the conventional method of transmission expansion cannot economically realize the above-said objectives, thus joint expansion planning of energy storage and transmission becomes the new solution. A joint expansion planning method for energy storage and transmission based on quantitative assessment of flexibility is established. Firstly, from the perspective of flexibility, we qualitatively analyze the technical characteristics and advantages of the joint ‘storage-transmission’ planning in power balance and flexible adjustment capacity. Then, a joint storage-transmission planning model considering flexibility is established, and the solution method is given with combination of heuristic and mathematical programming. Finally, the feasibility of the proposed method is verified based on the modified Garver-6 system. The results show that under the scenario of high-penetration of renewable energy sources, the joint ‘storage-transmission’ planning has better economy. The energy storage can effectively improve the system’s up-regulation flexibility, but the cost is an important factor for restricting its planning capacity.

Key words: high penetration renewable energy, BESS, capacity allocation, flexibility, joint planning of energy storage and transmission

李佳明, 李文启, 鲁宗相, 乔颖, 高东学, 刘韶林. 考虑系统灵活性的储能-输电线路扩展联合规划[J]. 中国电力, 2021, 54(4): 158-167.

LI Jiaming, LI Wenqi, LU Zongxiang, QIAO Ying, GAO Dongxue, LIU Shaolin. Joint Expansion Planning of Energy Storage and Transmission Considering Power System Flexibility[J]. Electric Power, 2021, 54(4): 158-167.

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参考文献

[1] International Energy Agency. World energy outlook (WEO) 2019[R]. 2019.
[2] KOLTSAKLIS N E, DAGOUMAS A S, PANAPAKIDIS I P. Impact of the penetration of renewables on flexibility needs[J]. Energy Policy, 2017, 109: 360-369.
[3] 鲁宗相, 李海波, 乔颖. 高比例可再生能源并网的电力系统灵活性评价与平衡机理[J]. 中国电机工程学报, 2017, 37(1): 9-20
LU Zongxiang, LI Haibo, QIAO Ying. Flexibility evaluation and supply/demand balance principle of power system with high-penetration renewable electricity[J]. Proceedings of the CSEE, 2017, 37(1): 9-20
[4] ENGLISH J, NIET T, LYSENG B, et al. Flexibility requirements and electricity system planning: assessing inter-regional coordination with large penetrations of variable renewable supplies[J]. Renewable Energy, 2020, 145: 2770-2782.
[5] LU Zongxiang, LI Haibo, QIAO Ying. Probabilistic flexibility evaluation for power system planning considering its association with renewable power curtailment[J]. IEEE Transactions on Power Systems, 2018, 33(3): 3285-3295.
[6] 程耀华, 张宁, 王佳明, 等. 面向高比例可再生能源并网的输电网规划方案综合评价[J]. 电力系统自动化, 2019, 43(3): 33-42, 57
CHENG Yaohua, ZHANG Ning, WANG Jiaming, et al. Comprehensive evaluation of transmission network planning for integration of high-penetration renewable energy[J]. Automation of Electric Power Systems, 2019, 43(3): 33-42, 57
[7] HAAS J, CEBULLA F, CAO K, et al. Challenges and trends of energy storage expansion planning for flexibility provision in low-carbon power systems - a review[J]. Renewable and Sustainable Energy Reviews, 2017, 80: 603-619.
[8] NIKOOBAKHT A, AGHAEI J, SHAFIE-KHAH M, et al. Assessing increased flexibility of energy storage and demand response to accommodate a high penetration of renewable energy sources[J]. IEEE Transactions on Sustainable Energy, 2019, 10(2): 659-669.
[9] 元博, 张运洲, 鲁刚, 等. 电力系统中储能发展前景及应用关键问题研究[J]. 中国电力, 2019, 52(3): 1-8
YUAN Bo, ZHANG Yunzhou, LU Gang, et al. Research on key issues of energy storage development and application in power systems[J]. Electric Power, 2019, 52(3): 1-8
[10] 赵健, 王奕凡, 谢桦, 等. 高渗透率可再生能源接入系统中储能应用综述[J]. 中国电力, 2019, 52(4): 167-177
ZHAO Jian, WANG Yifan, XIE Hua, et al. An overview of energy storage applications in power systems with high penetration renewable energy resources[J]. Electric Power, 2019, 52(4): 167-177
[11] CONLON T, WAITE M, MODI V. Assessing new transmission and energy storage in achieving increasing renewable generation targets in a regional grid[J]. Applied Energy, 2019, 250: 1085-1098.
[12] MARINAKIS A, EVRENOSOGLU C Y, OUDALOV A, et al. Role of transmission expansion and energy storage in the context of scenarios with high shares of variable renewables[C]//2018 15th International Conference on the European Energy Market (EEM). Lodz, Poland. IEEE, 2018: 1-5.
[13] BUSTOS C, SAUMA E, DE LA TORRE S, et al. Energy storage and transmission expansion planning: substitutes or complements?[J]. IET Generation, Transmission & Distribution, 2018, 12(8): 1738-1746.
[14] WANG Siyuan, GENG Guangzhao, JIANG Quanyuan. Robust Co-planning of energy storage and transmission line with mixed integer recourse[J]. IEEE Transactions on Power Systems, 2019, 34(6): 4728-4738.
[15] 郑静, 文福拴, 李力, 等. 计及风电场和储能系统联合运行的输电系统扩展规划[J]. 电力系统自动化, 2013, 37(1): 135-142
ZHENG Jing, WEN Fushuan, LI Li, et al. Transmission system expansion planning considering combined operation of wind farms and energy storage systems[J]. Automation of Electric Power Systems, 2013, 37(1): 135-142
[16] ZHANG Chengming, CHENG Haozhong, LIU Lu, et al. Coordination planning of wind farm, energy storage and transmission network with high-penetration renewable energy[J]. International Journal of Electrical Power & Energy Systems, 2020, 120: 105944.
[17] SIMA C A, POPESCU M O, POPESCU C L, et al. Integrating energy storage systems and transmission expansion planning in renewable energy sources power systems[C]//2019 54th International Universities Power Engineering Conference (UPEC). Bucharest, Romania. IEEE, 2019: 1-6.
[18] 黄英, 刘宝柱, 王坤宇, 等. 考虑风电接纳能力的储输联合规划[J]. 电网技术, 2018, 42(5): 1480-1489
HUANG Ying, LIU Baozhu, WANG Kunyu, et al. Joint planning of energy storage and transmission network considering wind power accommodation capability[J]. Power System Technology, 2018, 42(5): 1480-1489
[19] 叶健民, 蔡京陶, 王若愚, 等. 考虑风电场接入的输电网与储能扩展鲁棒规划[J]. 南方电网技术, 2019, 13(3): 25-32
YE Jianmin, CAI Jingtao, WANG Ruoyu, et al. Expansion robust planning of transmission network and energy storage considering wind farm integration[J]. Southern Power System Technology, 2019, 13(3): 25-32
[20] 李昀昊, 王建学, 曹晓宇, 等. 面向风电场-储能-输电网联合规划的机会约束IGDT模型[J]. 电网技术, 2019, 43(10): 3715-3724
LI Yunhao, WANG Jianxue, CAO Xiaoyu, et al. A chance-constrained IGDT model for joint planning of wind farm, energy storage and transmission[J]. Power System Technology, 2019, 43(10): 3715-3724
[21] 张宁, 代红才, 胡兆光, 等. 考虑系统灵活性约束与需求响应的源网荷协调规划模型[J]. 中国电力, 2019, 52(2): 61-69
ZHANG Ning, DAI Hongcai, HU Zhaoguang, et al. A source-grid-load coordinated planning model considering system flexibility constraints and demand response[J]. Electric Power, 2019, 52(2): 61-69
[22] 李海波, 鲁宗相, 乔颖, 等. 大规模风电并网的电力系统运行灵活性评估[J]. 电网技术, 2015, 39(6): 1672-1678
LI Haibo, LU Zongxiang, QIAO Ying, et al. Assessment on operational flexibility of power grid with grid-connected large-scale wind farms[J]. Power System Technology, 2015, 39(6): 1672-1678
[23] 郑爽, 杨晓楠, 句荣滨, 等. 两种启发式电网规划算法的比较与改进[J]. 电力系统保护与控制, 2019, 47(17): 109-116
ZHENG Shuang, YANG Xiaonan, GOU Rongbin, et al. Comparison and improvement of two heuristic algorithms for power network planning[J]. Power System Protection and Control, 2019, 47(17): 109-116
[24] GARVER L L. Transmission network estimation using linear programming[J]. IEEE Transactions on Power Apparatus and Systems, 1970, PAS-89(7): 1688-1697.
[25] 丁逸行, 徐青山, 吕亚娟, 等. 考虑需量管理的用户侧储能优化配置[J]. 电网技术, 2019, 43(4): 1179-1186
DING Yixing, XU Qingshan, LV Yajuan, et al. Optimal configuration of user-side energy storage considering power demand management[J]. Power System Technology, 2019, 43(4): 1179-1186

考虑系统灵活性的储能-输电线路扩展联合规划

Joint Expansion Planning of Energy Storage and Transmission Considering Power System Flexibility

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Joint Expansion Planning of Energy Storage and Transmission Considering Power System Flexibility

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