Advanced Search
DING Xiuxiang, LIN Wei, CHEN Kuncan, XIE Huiling. Capacity Sizing Method and Economic Analysis of Energy Storage in Substations Meeting N-1 Criterion of Main Transformers[J]. SOUTHERN ENERGY CONSTRUCTION, 2023, 10(2): 78-85. DOI: 10.16516/j.gedi.issn2095-8676.2023.02.011
Citation: DING Xiuxiang, LIN Wei, CHEN Kuncan, XIE Huiling. Capacity Sizing Method and Economic Analysis of Energy Storage in Substations Meeting N-1 Criterion of Main Transformers[J]. SOUTHERN ENERGY CONSTRUCTION, 2023, 10(2): 78-85. DOI: 10.16516/j.gedi.issn2095-8676.2023.02.011

Capacity Sizing Method and Economic Analysis of Energy Storage in Substations Meeting N-1 Criterion of Main Transformers

More Information
  • Received Date: July 14, 2022
  • Revised Date: August 31, 2022
  • Available Online: March 12, 2023
  •   Introduction  In order to solve the problem of the short-term heavy load of main transformers in substations caused by the high peak load of the power grid with the relatively reasonable average-load-rate and increasing utilization hours of the substations, delay the construction investment of the power grid and ensure the economic operation of the power grid, a capacity sizing method of energy storage in substations is proposed in this paper, which meets the power supply requirements with N-1 main transformers.
      Method  Firstly, a capacity sizing mathematical model of energy storage was built for peak load shaving of the load operation curve and reducing the maximum load rate of the transformer. Then, the capacity sizing economic objective function of lithium ion electrochemical energy storage was constructed to compare the construction investment of lithium ion electrochemical energy storage and main transformer expansion and analyze the economy of energy storage capacity sizing. Finally, in combination with the actual condition of substations, the energy storage capacity and its feasible construction cost in economy is proposed.
      Result  Through analysis, with the decreasing of unit cost of lithium ion electrochemical energy storage in the future, the energy storage power can be considered in accordance with the substation capacity of 15% and charging and discharging time of 2 hours. When the unit cost of the energy storage system is decreased to about RMB 1 200/ kWh, the economic advantage of energy storage construction is obvious.
      Conclusion  The capacity sizing method of energy storage proposed can solve the problem of short-term heavy load in substations effectively, and has better economy than conventional power transmission and transformation projects.
  • [1]
    许志军, 臧鹏程, 白格平, 等. 考虑风储联合运行系统经济性的储能配置优化 [J]. 内蒙古电力技术, 2022, 40(4): 47-53. DOI: 10.19929/j.cnki.nmgdljs.2022.0064.

    XU Z J, ZANG P C, BAI G P, et al. Energy storage configuration optimization considering economy of wind-storage combined operation system [J]. Inner Mongolia Electric Power, 2022, 40(4): 47-53. DOI: 10.19929/j.cnki.nmgdljs.2022.0064.
    [2]
    邵建林, 郑明辉, 郭宬昊, 等. 双碳目标下燃煤热电联产机组储能技术应用分析 [J]. 南方能源建设, 2022, 9(3): 102-110. DOI: 10.16516/j.gedi.issn2095-8676.2022.03.012.

    SHAO J L, ZHENG M H, GUO C H, et al. Application analysis of energy storage technology for coal-fired combined heat and power generation under carbon peak and neutrality goal [J]. Southern Energy Construction, 2022, 9(3): 102-110. DOI: 10.16516/j.gedi.issn2095-8676.2022.03.012.
    [3]
    张秀钊, 李林耘, 杨玉琴, 等. 考虑需求响应与储能系统的联合调峰优化策略 [J]. 内蒙古电力技术, 2022, 40(4): 68-73. DOI: 10.19929/j.cnki.nmgdljs.2022.0067.

    ZHANG X Z, LI L Y, YANG Y Q, et al. Joint peak shaving optimization strategy considering demand response and energy storage system [J]. Inner Mongolia Electric Power, 2022, 40(4): 68-73. DOI: 10.19929/j.cnki.nmgdljs.2022.0067.
    [4]
    李建林, 李雅欣, 周喜超. 电网侧储能技术研究综述 [J]. 电力建设, 2020, 41(6): 77-84. DOI: 10.12204/j.issn.1000-7229.2020.06.010.

    LI J L, LI Y X, ZHOU X C. Summary of research on grid-side energy storage technology [J]. Electric Power Construction, 2020, 41(6): 77-84. DOI: 10.12204/j.issn.1000-7229.2020.06.010.
    [5]
    张东辉, 徐文辉, 门锟, 等. 储能技术应用场景和发展关键问题 [J]. 南方能源建设, 2019, 6(3): 1-5. DOI: 10.16516/j.gedi.issn2095-8676.2019.03.001.

    ZHANG D H, XU W H, MEN K, et al. Application scenarios of energy storage and its key issues in development [J]. Southern Energy Construction, 2019, 6(3): 1-5. DOI: 10.16516/j.gedi.issn2095-8676.2019.03.001.
    [6]
    刘畅, 卓建坤, 赵东明, 等. 利用储能系统实现可再生能源微电网灵活安全运行的研究综述 [J]. 中国电机工程学报, 2020, 40(1): 1-18. DOI: 10.13334/j.0258-8013.pcsee.190212

    LIU C, ZHUO J K, ZHAO D M, et al. A review on the utilization of energy storage system for the flexible and safe operation of renewable energy microgrids [J]. Proceedings of the CSEE, 2020, 40(1): 1-18. DOI: 10.13334/j.0258-8013.pcsee.190212
    [7]
    杨俊, 黄际元, 黄珂丽, 等. 基于电网主变重载率的多储能电站规划方法 [J]. 电器与能效管理技术, 2021(12): 34-41. DOI: 10.16628/j.cnki.2095-8188.2021.12.006.

    YANG J, HUANG J Y, HUANG K L, et al. Multi-energy storage power station planning method based on overload ratio of main transformer [J]. Electrical & Energy Management Technology, 2021(12): 34-41. DOI: 10.16628/j.cnki.2095-8188.2021.12.006.
    [8]
    朱寰, 程亮, 陈琛, 等. 多重应用场景下的电网侧储能需求评估方法 [J]. 电力建设, 2019, 40(9): 35-42. DOI: 10.3969/j.issn.1000-7229.2019.09.005.

    ZHU H, CHENG L, CHEN C, et al. Assessment method for grid-side storage demand under multiple application scenarios [J]. Electric Power Construction, 2019, 40(9): 35-42. DOI: 10.3969/j.issn.1000-7229.2019.09.005.
    [9]
    郭威, 修晓青, 李文启, 等. 计及多属性综合指标与经济性的电网侧储能系统选址配置方法 [J]. 电力建设, 2020, 41(4): 53-62. DOI: 10.3969/j.issn.1000-7229.2020.04.007.

    GUO W, XIU X Q, LI W Q, et al. Siting and configuration methods for grid-side energy storage system considering multi-attribute comprehensive indices and economy [J]. Electric Power Construction, 2020, 41(4): 53-62. DOI: 10.3969/j.issn.1000-7229.2020.04.007.
    [10]
    栗峰, 郝雨辰, 周昶, 等. 电网侧电化学储能调度运行及其关键技术 [J]. 供用电, 2020, 37(6): 82-90. DOI: 10.19421/j.cnki.1006-6357.2020.06.013.

    LI F, HAO Y C, ZHOU C, et al. Dispatching operation and key technologies analysis of electrochemical energy storage on grid side [J]. Distribution & Utilization, 2020, 37(6): 82-90. DOI: 10.19421/j.cnki.1006-6357.2020.06.013.
    [11]
    高啸天, 匡俊, 楚攀, 等. 化学电源及其在储能领域的应用 [J]. 南方能源建设, 2020, 7(4): 1-10. DOI: 10.16516/j.gedi.issn2095-8676.2020.04.001.

    GAO X T, KUANG J, CHU P, et al. Chemical power sources and their applications in energy storage fields [J]. Southern Energy Construction, 2020, 7(4): 1-10. DOI: 10.16516/j.gedi.issn2095-8676.2020.04.001.
    [12]
    陈浩, 孙春顺, 余志勇, 等. 考虑储能的变电站优化规划 [J]. 电力学报, 2014, 29(4): 313-317+321. DOI: 10.13357/j.cnki.jep.002385.

    CHEN H, SUN C S, YU Z Y, et al. Substation optimization planning with energy storage [J]. Journal of Electric Power, 2014, 29(4): 313-317+321. DOI: 10.13357/j.cnki.jep.002385.
    [13]
    MURTY V V S N, KUMAR A. Multi-objective energy management in microgrids with hybrid energy sources and battery energy storage systems [J]. Protection and Control of Modern Power Systems, 2020, 5(2): 1-20. DOI: 10.1186/s41601-019-0147-z.
    [14]
    BAGGU M M, NAGARAJAN A, CUTLER D, et al. Coordinated optimization of multiservice dispatch for energy storage systems with degradation model for utility applications [J]. IEEE Transactions on Sustainable Energy, 2019, 10(2): 886-894. DOI: 10.1109/tste.2018.2853673.
    [15]
    WATSON J D, WATSON N R, LESTAS I. Optimized dispatch of energy storage systems in unbalanced distribution networks [J]. IEEE Transactions on Sustainable Energy, 2018, 9(2): 639-650. DOI: 10.1109/tste.2017.2752964.
    [16]
    向育鹏, 卫志农, 孙国强, 等. 基于全寿命周期成本的配电网蓄电池储能系统的优化配置 [J]. 电网技术, 2015, 39(1): 264-270. DOI: 10.13335/j.1000-3673.pst.2015.01.040.

    XIANG Y P, WEI Z N, SUN G Q, et al. Life cycle cost based optimal configuration of battery energy storage system in distribution network [J]. Power System Technology, 2015, 39(1): 264-270. DOI: 10.13335/j.1000-3673.pst.2015.01.040.
    [17]
    吴小刚, 刘宗歧, 田立亭, 等. 基于改进多目标粒子群算法的配电网储能选址定容 [J]. 电网技术, 2014, 38(12): 3405-3411. DOI: 10.13335/j.1000-3673.pst.2014.12.021.

    WU X G, LIU Z Q, TIAN L T, et al. Energy storage device locating and sizing for distribution network based on improved multi-objective particle swarm optimizer [J]. Power System Technology, 2014, 38(12): 3405-3411. DOI: 10.13335/j.1000-3673.pst.2014.12.021.
    [18]
    尤毅, 刘冬, 钟清, 等. 主动配电网储能系统的多目标优化配置 [J]. 电力系统及其自动化, 2014, 38(18): 46-52. DOI: 10.7500/aeps20130722009.

    YOU Y, LIU D, ZHONG Q, et al. Multi-objective optimal placement of energy storage systems in an active distribution network [J]. Automation of Electric Power Systems, 2014, 38(18): 46-52. DOI: 10.7500/aeps20130722009.
    [19]
    安东, 杨德宇, 武文丽, 等. 基于改进多目标蜉蝣算法的配网电池储能系统最优选址定容 [J]. 电力系统保护与控制, 2022, 50(10): 31-39. DOI: 10.19783/j.cnki.pspc.211224.

    AN D, YANG D Y, WU W L, et al. Optimal location and sizing of battery energy storage systems in a distribution network based on a modified multi-objective mayfly algorithm [J]. Power System Protection and Control, 2022, 50(10): 31-39. DOI: 10.19783/j.cnki.pspc.211224.
    [20]
    陆立民, 褚国伟, 张涛, 等. 基于改进多目标粒子群算法的微电网储能优化配置 [J]. 电力系统保护与控制, 2020, 48(15): 116-124. DOI: 10.19783/j.cnki.pspc.191172.

    LU L M, CHU G W, ZHANG T, et al. Optimal configuration of energy storage in a microgrid based on improved multi-objective particle swarm optimization [J]. Power System Protection and Control, 2020, 48(15): 116-124. DOI: 10.19783/j.cnki.pspc.191172.
  • Related Articles

    [1]LIN Yan, LI Bin, LUO Haodong, XIANG Kui, ZHU Guangtao. Research on Operation Mode of Energy Storage System for Thermonuclear Fusion Power Plant[J]. SOUTHERN ENERGY CONSTRUCTION, 2024, 11(3): 110-116. DOI: 10.16516/j.ceec.2024.3.12
    [2]WANG Fan, LI Binsi, XIA Tongling, PENG Min, WANG Shaoyong. Economic Research on Energy Storage Auxiliary Frequency Regulation of Lithium Iron Phosphate Battery for 2 × 600 MW Coal-fired Unit in Guangdong[J]. SOUTHERN ENERGY CONSTRUCTION, 2023, 10(6): 71-77. DOI: 10.16516/j.gedi.issn2095-8676.2023.06.008
    [3]ZHENG Kaiyun, CHI Jiecheng, ZHANG Xuefeng. Concept Research of Compressed Air Energy Storage Power Plant Coupled with Pumped Hydro Storage[J]. SOUTHERN ENERGY CONSTRUCTION, 2023, 10(2): 18-25. DOI: 10.16516/j.gedi.issn2095-8676.2023.02.003
    [4]Shaokuan CAI. Discussion on Energy Storage Solutions Under the New Power System[J]. SOUTHERN ENERGY CONSTRUCTION, 2022, 9(S1): 17-23. DOI: 10.16516/j.gedi.issn2095-8676.2022.S1.003
    [5]LUO Zhibin, SUN Xiao, SUN Xiang, LIN Haizhou, ZHU Guangtao. The Coupling Development of Hydrogen and Energy Storage Technology: Opportunities and Challenges[J]. SOUTHERN ENERGY CONSTRUCTION, 2022, 9(4): 24-31. DOI: 10.16516/j.gedi.issn2095-8676.2022.04.003
    [6]LIANG Zhanpeng, XIANG Kui, LI Hua, ZHU Guangtao. Applicability Analysis of Energy Storage Techniques for CFETR Fusion Power Plant[J]. SOUTHERN ENERGY CONSTRUCTION, 2022, 9(2): 53-62. DOI: 10.16516/j.gedi.issn2095-8676.2022.02.007
    [7]Xiaotian GAO, Jun KUANG, Pan CHU, Kening SUN. Chemical Power Sources and Their Applications in Energy Storage Fields[J]. SOUTHERN ENERGY CONSTRUCTION, 2020, 7(4): 1-10. DOI: 10.16516/j.gedi.issn2095-8676.2020.04.001
    [8]Ming LI, Fengshun JIAO, Changxiang REN, Rui ZHAO. China′s Power Auxiliary Service Market Mechanism and the Economics of Energy Storage Systems Participating in Auxiliary Services[J]. SOUTHERN ENERGY CONSTRUCTION, 2019, 6(3): 132-138. DOI: 10.16516/j.gedi.issn2095-8676.2019.03.022
    [9]Donghui ZHANG, Wenhui XU, Kun MEN, Shuqing ZHANG, Sibin LU. Application Scenarios of Energy Storage and Its Key Issues in Development[J]. SOUTHERN ENERGY CONSTRUCTION, 2019, 6(3): 1-5. DOI: 10.16516/j.gedi.issn2095-8676.2019.03.001
    [10]Huanran WANG. Theoretical Analysis of a Novel Compressed Air Energy Storage System[J]. SOUTHERN ENERGY CONSTRUCTION, 2015, 2(2): 15-19. DOI: 10.16516/j.gedi.issn2095-8676.2015.02.003
  • Cited by

    Periodical cited type(2)

    1. 韩少卫,洪卫华,李传江. 变电站蓄电池远程充放电装置的应用. 自动化应用. 2024(12): 156-158 .
    2. 刘颖熙,欧阳章智,吴小刚,刘永军. 基于层次分析法的“零碳”变电站选址研究. 能源研究与利用. 2024(05): 51-56 .

    Other cited types(0)

Catalog

    XIE Huiling, 361925404@qq.com

    1. On this Site
    2. On Google Scholar
    3. On PubMed

    Article Metrics

    Article views (518) PDF downloads (78) Cited by(2)

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return