RESEARCH ON OPTIMIZATION STRATEGY OF HESS SITE AND CAPACITY SELECTION IN DISTRIBUTION SYSTEM WITH RENEWABLE ENERGY ACCESS

Sun Donglei, Zhao Long, Sun Kaiqi, Wang Yan, Sun Yi, Wang Yao

Acta Energiae Solaris Sinica ›› 2024, Vol. 45 ›› Issue (1) : 423-432.

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Acta Energiae Solaris Sinica ›› 2024, Vol. 45 ›› Issue (1) : 423-432. DOI: 10.19912/j.0254-0096.tynxb.2022-1445

RESEARCH ON OPTIMIZATION STRATEGY OF HESS SITE AND CAPACITY SELECTION IN DISTRIBUTION SYSTEM WITH RENEWABLE ENERGY ACCESS

  • Sun Donglei1, Zhao Long1, Sun Kaiqi2, Wang Yan1, Sun Yi1, Wang Yao1
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Abstract

To select HESS site and capacity in distribution system with renewable energy access, a two-layer optimization model considering the property of HESS is constructed, which thereby improving the operation economy and stability of the system. Firstly, this paper selects battery and super-capacitor to form HESS and connect it to the distribution system to give full play to the high-efficiency charging and discharging and high-energy throughput characteristics of HESS. Secondly, a two-layer optimization model for HESS site and capacity selection considering the property of HESS is proposed. The upper layer aims at the minimum LCC of the HESS, and take the configuration capacity and access location as the optimization variables, in which the operation cost needs to be calculated by the lower layer; the lower optimization aims to minimize the network loss, establish a SOCP model, and feed backs the planning results to the upper layer. Finally, case studies are carried out on the IEEE 33-bus distribution network, compared with ESS, the proposed HESS and its configuration strategy can effectively improve the operational stability of the distribution network under the high proportion of renewable energy access, while ensuring the operation economy of the distribution network.

Key words

renewable energy / energy storage / site selection / life cycle cost / SOCP / distribution system

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Sun Donglei, Zhao Long, Sun Kaiqi, Wang Yan, Sun Yi, Wang Yao. RESEARCH ON OPTIMIZATION STRATEGY OF HESS SITE AND CAPACITY SELECTION IN DISTRIBUTION SYSTEM WITH RENEWABLE ENERGY ACCESS[J]. Acta Energiae Solaris Sinica. 2024, 45(1): 423-432 https://doi.org/10.19912/j.0254-0096.tynxb.2022-1445

References

[1] 卓振宇, 张宁, 谢小荣, 等. 高比例可再生能源电力系统关键技术及发展挑战[J]. 电力系统自动化, 2021, 45(9): 171-191.
ZHUO Z Y, ZHANG N, XIE X R, et al.Key technologies and developing challenges of power system with high proportion of renewable energy[J]. Automation of electric power systems, 2021, 45(9): 171-191.
[2] 乔亮波, 张晓虎, 孙现众, 等. 电池-超级电容器混合储能系统研究进展[J]. 储能科学与技术, 2022, 11(1): 98-106.
QIAO L B, ZHANG X H, SUN X Z, et al.Advances in battery-supercapacitor hybrid energy storage system[J]. Energy storage science and technology, 2022, 11(1): 98-106.
[3] 毛志宇, 蒋叶, 李培强, 等. 基于改进灰狼算法的配电网储能优化配置[J]. 电力系统及其自动化学报, 2022, 34(6): 1-8.
MAO Z Y, JIANG Y, LI P Q, et al.Optimal configuration of energy storage in distribution network based on improved gray wolf algorithm[J]. Proceedings of the CSU-EPSA, 2022, 34(6): 1-8.
[4] 刘宇宸. 飞轮-蓄电池混合储能系统调频特性研究[D]. 北京: 华北电力大学, 2021.
LIU Y C.Research on frequency modulation characteristics of flywheel-battery hybrid energy storage system[D]. Beijing: North China Electric Power University, 2021.
[5] LI J H, ZHANG Z S, SHEN B X, et al.The capacity allocation method of photovoltaic and energy storage hybrid system considering the whole life cycle[J]. Journal of cleaner production, 2020, 275: 122902.
[6] 周建宇, 闫林芳, 刘巨, 等. 基于一致性理论的直流微电网混合储能协同控制策略[J]. 中国电机工程学报, 2018, 38(23): 6837-6846, 7118.
ZHOU J Y, YAN L F, LIU J, et al.A cooperative control strategy for DC microgrid based on consensus algorithm[J]. Proceedings of the CSEE, 2018, 38(23): 6837-6846, 7118.
[7] 李瑞民, 张新敬, 徐玉杰, 等. 风光互补系统中混合储能容量优化配置研究[J]. 储能科学与技术, 2019, 8(3): 512-522.
LI R M, ZHANG X J, XU Y J, et al.Research on optimal configuration of hybrid energy storage capacity for wind-solar generation system[J]. Energy storage science and technology, 2019, 8(3): 512-522.
[8] 尚龙龙, 魏碧桧, 王伟, 等. 主动配电网储能动态配置规划方法[J]. 电力系统保护与控制, 2020, 48(17): 84-92.
SHANG L L, WEI B H, WANG W, et al.A planning method of dynamic energy storage configuration in an active distribution network[J]. Power system protection and control, 2020, 48(17): 84-92.
[9] 张晴. 平抑风电波动的混合储能容量配置和经济性评估[D]. 长沙: 湖南大学, 2017.
ZHANG Q.Capacity determination and economic evaluation of hybrid energy storage system for smoothing wind power fluctuations[D]. Changsha: Hunan University, 2017.
[10] 杨子龙, 宋振浩, 潘静, 等. 分布式光伏/储能系统多运行模式协调控制策略[J]. 中国电机工程学报, 2019, 39(8): 2213-2220, 4.
YANG Z L, SONG Z H, PAN J, et al.Multi-mode coordinated control strategy of distributed PV and energy storage system[J]. Proceedings of the CSEE, 2019, 39(8): 2213-2220, 4.
[11] MA W, WANG W, WU X Z, et al.Control strategy of a hybrid energy storage system to smooth photovoltaic power fluctuations considering photovoltaic output power curtailment[J]. Sustainability, 2019, 11(5): 1324.
[12] ZHU Y X, ZHUO F, SHI H T.Power management strategy research for a photovoltaic-hybrid energy storage system[C]//2013 IEEE ECCE Asia Downunder. Melbourne, VIC, Australia, 2013: 842-848.
[13] ZHAO J Y, ZHENG T X, LITVINOV E.A unified framework for defining and measuring flexibility in power system[J]. IEEE transactions on power systems, 2016, 31(1): 339-347.
[14] YAN N, ZHANG B, LI W, et al.Hybrid energy storage capacity allocation method for active distribution network considering demand side response[J]. IEEE transactions on applied superconductivity, 2019, 29(2): 1-4.
[15] 孟赫. 配电网储能系统优化配置方法研究[D]. 天津: 天津大学, 2019.
MENG H.Research on optimal configuration of energy storage systems indistribution networks[D]. Tianjin: Tianjin University, 2019.
[16] 王守相, 王凯, 赵歌. 平抑有源配电网功率波动的储能配置与控制方法研究综述[J]. 储能科学与技术, 2017, 6(6): 1188-1195.
WANG S X, WANG K, ZHAO G.Configuration and control of energy storage system for fluctuation mitigation in an active distribution network: a review[J]. Energy storage science and technology, 2017, 6(6): 1188-1195.
[17] 葛乐, 袁晓冬, 王亮, 等. 面向配电网优化运行的混合储能容量配置[J]. 电网技术, 2017, 41(11): 3506-3513.
GE L, YUAN X D, WANG L, et al.Capacity configuration of hybrid energy storage system for distribution network optimal operation[J]. Power system technology, 2017, 41(11): 3506-3513.
[18] 王盼宝. 低压直流微电网运行控制与优化配置研究[D]. 哈尔滨: 哈尔滨工业大学, 2016.
WANG P B.Research on autonomous control and optimal sizing of low-voltage DC microgrids[D]. Harbin: Harbin Institute of Technology, 2016.
[19] 王守相, 张善涛, 王凯, 等. 计及分时电价下用户需求响应的分布式储能多目标优化运行[J]. 电力自动化设备, 2020, 40(1): 125-132.
WANG S X, ZHANG S T, WANG K, et al.Multi-objective optimal operation of distributed energy storage considering user demand response under time-of-use price[J]. Electric power automation equipment, 2020, 40(1): 125-132.
[20] 桑丙玉, 姚良忠, 李明杨, 等. 基于二阶锥规划的含大规模风电接入的直流电网储能配置[J]. 电力系统保护与控制, 2020, 48(5): 86-94.
SANG B Y, YAO L Z, LI M Y, et al.Research on energy storage system planning of DC grid with large-scale wind power integration[J]. Power system protection and control, 2020, 48(5): 86-94.
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