Flexible Interconnection Device Planning of Low-voltage Distribution Station Areas Based on Improved Supply Capability Indicators

ZHANG Rui; LIU Hengchao; ZHANG Guoju; GE Xuefeng; YU Miao

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Electric Power Construction ›› 2025

Flexible Interconnection Device Planning of Low-voltage Distribution Station Areas Based on Improved Supply Capability Indicators

ZHANG Rui¹, LIU Hengchao¹, ZHANG Guoju², GE Xuefeng³, YU Miao¹

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Abstract

[Objective] In order to realize the reasonable planning of low-voltage flexible interconnection devices, effectively solve the problem of load imbalance in distribution station areas and improve the supply capability of distribution networks, a supply capability assessment method considering the load distribution characteristics of distribution networks is proposed, and a flexible interconnection device planning model for low-voltage distribution station areas that comprehensively considers the power supply capability, construction efficiency and economy of distribution networks is established. [Methods] First, a model of distribution network supply capability with load growth is established, and an evaluation index for the efficiency of distribution network supply capability improvement is derived. Next, a flexible interconnection devices planning framework considering the improvement of supply capability, economy and load transfer constraints under distribution network reconfiguration is established and solved based on the NSGA-II algorithm. [Results] The results of the case study of IEEE 14 bus system with contact switches show that the planning model based on the proposed indicators can effectively improve the supply capability of the distribution network under actual load distribution. [Conclusions] Compared with the traditional power supply capacity indicators, the indicators proposed in this paper can effectively reflect the objective law of actual load distribution and growth in station areas. The planning method based on the proposed indicators can significantly improve the power supply capacity of the distribution network. The proposed indicators show that the access of flexible interconnection devices in low-voltage station areas can gradually eliminate the bottlenecks of power supply caused by the imbalance of the load ratio in station areas, and realize the efficient use of distribution network resources.

Key words

low voltage distribution network / distribution station areas / power supply capacity / flexible interconnection / planning

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ZHANG Rui, LIU Hengchao, ZHANG Guoju, GE Xuefeng, YU Miao. Flexible Interconnection Device Planning of Low-voltage Distribution Station Areas Based on Improved Supply Capability Indicators[J]. Electric Power Construction. 2025

References

[1] 韩肖清,李廷钧,张东霞,等.双碳目标下的新型电力系统规划新问题及关键技术[J].高电压技术, 2021,47(9):3036-3046.
[2] 李志勇,黄缙华,赵伟,等.面向配电网弹性提升的多端口E-SOP分布鲁棒优化配置[J].全球能源互联网,2024,7(05):541-549.
[3] 张勇军,刘子文,邓丰强.柔性互联配电网研究现状综述及其发展探索[J].广东电力,2020,33(12):3-13.
[4] 陈倩,王维庆,王海云.基于含分布式电源的配电网优化运行研究[J].电测与仪表,2023,60(11):19-28.
[5] 惠慧,李蕊,朱逸镝,等.含高比例分布式光伏的配电网多目标概率规划方法[J].电测与仪表,2023,60(11):2-10.
[6] 胡鹏飞,朱乃璇,江道灼,等.柔性互联智能配电网关键技术研究进展与展望[J].电力系统自动化, 2021,45(8):2-12.
[7] KIKUSATO H, FUJIMOTO Y, HANADA S, et al.Electric vehicle charging management using auction mechanism for reducing PV curtailment in distribution systems[J]. IEEE Transactions on Sustainable Energy, 2019, 11(3): 1394-1403.
[8] 宋毅,孙充勃,李鹏,等.基于智能软开关的有源配电网供电恢复方法[J].中国电机工程学报, 2018,38(15):4390-4398+4639.
[9] 马丽, 薛飞, 石季英, 等. 有源配电网分布式电源与智能软开关三层协调规划模型[J]. 电力系统自动化, 2018, 42(11): 86-93.
[10] 熊正勇, 陈天华, 杜磊, 等. 基于改进灵敏度分析的有源配电网智能软开关优化配置[J]. 电力系统自动化, 2021, 45(8): 129-137.
[11] 朱建昆,高红均,贺帅佳,等.考虑供电能力提升的低压配电网柔性互联规划[J].高电压技术, 2024,50(8):3545-3559.
[12] 郑国权,祝恩国,张海龙,等.基于主从博弈的高比例光伏配电台区柔性互联规划[J].电力建设, 2024,45(4):100-110.
[13] 彭寒梅,尹棠,肖千皓,等.高比例分布式电源配电网中低压柔性互联协调规划[J].中国电力, 2024,57(8):117-129.
[14] 肖峻,刚发运,黄仁乐,等.柔性配电网的最大供电能力模型[J].电力系统自动化,2017,41(05):30-38.
[15] 俞伟, 陈运, 胡晓哲, 等. 基于TSC的馈线接入用户容量计算方法[J]. 电力系统保护与控制, 2018, 46(8): 80-87.
[16] 肖峻,梁子钰,佘步鑫.配电网供电能力曲线的数学模型与形成机理[J].中国电机工程学报, 2021,41(9):3158-3173.
[17] 孙东雪,王主丁,田园,等.基于分区分压的配电网供电能力计算实用方法[J].电网技术, 2020,44(8):3081-3091.
[18] 高崇,周鹏,罗强,等.考虑实际负荷增长模式下的配电网供电能力评估方法[J].南方电网技术, 2023,17(7):115-124.
[19] 祖国强, 郝子源, 黄旭, 等. 考虑低压台区柔性互联的配电网最大供电能力[J]. 电力系统自动化, 2023, 47(7): 84-93.
[20] 赖海鹏,李志刚,于金雨,等.电力系统交流潮流线性化方法研究综述[J].山东电力技术,2024,51(04):12-26.
[21] 肖峻,谷文卓,郭晓丹,等.配电系统供电能力模型[J].电力系统自动化,2011,35(24):47-52.
[22] 林哲,胡泽春,宋永华.考虑N-1准则的配电网与分布式储能联合规划[J].中国电机工程学报, 2021,41(13):4390-4403.
[23] 祖国强,郝子源,王智爽,等.基于N-1安全域的配电台区电动汽车可充电裕量监测方法[J].供用电,2023,40(09):9-15.
[24] 方芹,杨建华,马龙,等.基于N-1准则的配电网重构分区评估分析[J].电网技术,2013,37(4):1090-1094.
[25] 黄代雄,汪志军,袁俑斌,等.考虑多源协同的主动配电网故障恢复策略[J].高压电器,2024,60(02):210-215+222.
[26] 肖峻,屈玉清,张宝强,等.N-0安全的城市配电网安全域与供电能力[J].电力系统自动化, 2019,43(17):12-19.
[27] 陈春,吴宜桐,李锰,等.基于网络拓扑有向遍历的配电网故障快速恢复方法[J].电力系统自动化, 2021,45(7):44-52.
[28] 孙超,吕奇,朱思曈,等.基于双层XGBoost算法考虑多特征影响的超短期电力负荷预测[J].高电压技术,2021,47(8):2885-2898.
[29] 闫照康,马刚,冯瑞,等.基于改进LSTM算法的综合能源系统多元负荷预测[J].分布式能源,2024,9(02):30-38.
[30] 李振坤,陈星莺,刘皓明,等.配电网供电能力的实时评估分析[J].电力系统自动化,2009,33(6):36-39+62.
[31] 王凯亮,何卓怡,叶健鹏,等.多电压等级电网协同规划的容载比优化配置方法[J/OL].南方电网技术,1-10[2024-07-27]. http://kns.cnki.net/kcms/detail/44.1643.tk.20240702.1642.006.html.
[32] 刘炜彬,梁咏秋,李锡刚,等.面向精细化规划的容载比参数优化方法研究[J/OL].电气工程学报,1-10[2024-07-27].http://kns.cnki.net/kcms/detail/10.1289.TM.20230712.1859.002.html.
[33] 祁琪,姜齐荣,许彦平.智能配电网柔性互联研究现状及发展趋势[J].电网技术,2020,44(12):4664-4676.
[34] 刘明波,程莹,林声宏.求解无功优化的内点线性和内点非线性规划方法比较[J].电力系统自动化, 2002,(01):22-26.
[35] 张勇,巩敦卫,张婉秋.一种基于单纯形法的改进微粒群优化算法及其收敛性分析[J].自动化学报, 2009,35(3):289-298.
[36] DEB K, PRATAP A, AGARWAL S, et al.A fast and elitist multiobjective genetic algorithm: NSGA-II[J]. IEEE Transactions on Evolutionary Computation, 2002, 6(2): 182-197.
[37] 陈程,林仕立,张先勇,等.基于NSGA-II算法的分布式冷热电联产系统低碳经济运行策略[J].广东电力,2023,36(10):10-18.
[38] 彭伟款,郭紫娟,张先勇,等.基于NSGA-II和模糊决策的交直流混合微电网多目标优化调度[J].广东电力,2023,36(02):42-51.
[39] 端木浚程,袁越.配电网孤岛划分的启发式方法[J].电测与仪表,2023,60(03):26-32.
[40] 冯士刚,艾芊.带精英策略的快速非支配排序遗传算法在多目标无功优化中的应用[J].电工技术学报,2007,(12):146-151.

Funding

National Key Research and Development Program of China(2023YFB2407400), Science and Technology Project of State Grid Corporation “High Power Density Flexible Interconnection Technology and Equipment for Distribution Grid” (2023YFB2407400)