Available Capacity Analysis and Business Expansion Decision for Distribution Network Based on Depth-first Traversal

doi:10.12204/j.issn.1000-7229.2023.05.004

Abstract

Abstract:

Aiming at the current problems of the rough calculation of distribution network available capacity, reliance on personal experience, and failure to give full play to the decision-making of data empowerment, this study combines available capacity with the analysis of business expansion and proposes an available capacity analysis and optimization decision method of business expansion for distribution networks based on depth-first traversal. First, considering the seasonal and daily load characteristics in the substation area, the available capacities of the feeder and public transformer were calculated based on the depth-first traversal algorithm. Second, considering the multi-objective matching of the available capacity with the load curve, load balancing, and three-phase balance in the substation area, an optimization decision model of business expansion was established, and a refined optimal load access scheme from feeder zoning to the substation area was obtained. Finally, the simulation examples using IEEE standard distribution systems and an actual distribution network were used to verify the efficiency of the proposed available capacity calculation method. It was observed that the proposed method can effectively apply the available capacity analysis results to obtain a refined load access scheme considering multiple objectives.

Key words: distribution network, depth-first traversal, available capacity, load characteristics, business expansion, distribution station area

CLC Number:

TM715

XU Chengsi, DONG Shufeng, WU Zhenjie, HUA Yibo, TANG Jian, YANG Xingchao. Available Capacity Analysis and Business Expansion Decision for Distribution Network Based on Depth-first Traversal[J]. ELECTRIC POWER CONSTRUCTION, 2023, 44(5): 34-42.

Figures/Tables 7

Fig.1 Schematic diagram of distribution network

Fig.2 Flow chart of available capacity analysis based on depth first traversal

Table 1 Time consuming comparison of available capacity analysis

Table 2 Available capacity of IEEE 13-node system

Fig.3 Analysis results of available capacity considering timing characteristics

Fig.4 Business expansion load

Fig.5 Available capacity of feeder partition

References 30

[1]	董旭柱, 华祝虎, 尚磊, 等. 新型配电系统形态特征与技术展望[J]. 高电压技术, 2021, 47(9): 3021-3035.
	DONG Xuzhu, HUA Zhuhu, SHANG Lei, et al. Morphological characteristics and technology prospect of new distribution system[J]. High Voltage Engineering, 2021, 47(9): 3021-3035.
[2]	刘科研, 贾东梨, 王薇嘉, 等. 考虑分布式光伏电源接入模式的低压配电网不平衡线损计算方法[J]. 电力建设, 2021, 42(10): 129-138. doi: 10.12204/j.issn.1000-7229.2021.10.014
	LIU Keyan, JIA Dongli, WANG Weijia, et al. Calculation method of unbalanced line loss in low-voltage distribution network considering the access mode of distributed photovoltaic generation[J]. Electric Power Construction, 2021, 42(10): 129-138. doi: 10.12204/j.issn.1000-7229.2021.10.014
[3]	诸晓骏, 陈曦, 李妍, 等. 考虑电动汽车接入的主动配电网优化调度[J]. 电力工程技术, 2021, 40(3): 141-147.
	ZHU Xiaojun, CHEN Xi, LI Yan, et al. Optimal dispatching of active distribution network considering electric vehicle access[J]. Electric Power Engineering Technology, 2021, 40(3): 141-147.
[4]	ZHANG L S, LIU Y B, LIANG D L, et al. Local and remote cooperative control of hybrid distribution transformers integrating photovoltaics in active distribution networks[J]. IEEE Transactions on Sustainable Energy, 2022, 13(4): 2012-2026. doi: 10.1109/TSTE.2022.3179120 URL
[5]	王婷, 陈晨, 谢海鹏. 配电网对分布式电源和电动汽车的承载力评估及提升方法综述[J]. 电力建设, 2022, 43(9): 12-24. doi: 10.12204/j.issn.1000-7229.2022.09.002
	WANG Ting, CHEN Chen, XIE Haipeng. Review on evaluation and promotion methods of carrying capacity for distributed generation and electric vehicles in distribution network[J]. Electric Power Construction, 2022, 43(9): 12-24. doi: 10.12204/j.issn.1000-7229.2022.09.002
[6]	韦昊男. 电力公司业扩报装标准化管理系统设计与实现[D]. 成都: 电子科技大学, 2021.
	WEI Haonan. The design and realization of standardization management system of power company’s public equipment[D]. Chengdu: University of Electronic Science and Technology of China, 2021.
[7]	ZHANG C R, LI J Y, ZHANG Y J A, et al. Data-driven sizing planning of renewable distributed generation in distribution networks with optimality guarantee[J]. IEEE Transactions on Sustainable Energy, 2020, 11(3): 2003-2014. doi: 10.1109/TSTE.5165391 URL
[8]	SUN M, DONG S F, CAO Z J, et al. A path-based method for feeder partition available capability evaluation under N-1 security criterion[C]// 2017 IEEE Power & Energy Society General Meeting. July 16-20, 2017, Chicago, IL, USA. IEEE, 2018: 1-5.
[9]	XIAO J, QU Y Q, SONG C H, et al. Security region and total supply capability under N-0 for urban distribution network[C]// 2020 IEEE Power & Energy Society General Meeting (PESGM). August 2-6, 2020, Montreal, QC, Canada. IEEE, 2020: 1-5.
[10]	孙明, 董树锋, 夏圣峰, 等. 基于路径描述的馈线分区N-1可装容量计算方法[J]. 电力系统自动化, 2017, 41(16): 123-129.
	SUN Ming, DONG Shufeng, XIA Shengfeng, et al. Path description based calculation method for available capacity of feeder partition satisfied with N-1 security criterion[J]. Automation of Electric Power Systems, 2017, 41(16): 123-129.
[11]	朱嘉麒, 董树锋, 徐成司, 等. 考虑多次转供的配电网最大供电能力评估方法[J]. 电网技术, 2019, 43(7): 2275-2282.
	ZHU Jiaqi, DONG Shufeng, XU Chengsi, et al. Evaluation model of total supply capability of distribution network considering multiple transfers[J]. Power System Technology, 2019, 43(7): 2275-2282.
[12]	黄兵, 赵晋泉. 基于连续潮流的配电网供电能力评估[J]. 电力工程技术, 2019, 38(1): 14-18.
	HUANG Bing, ZHAO Jinquan. Power supply capability evaluation of distribution network based on continuation power flow[J]. Electric Power Engineering Technology, 2019, 38(1): 14-18.
[13]	孙伟卿, 黄福泉, 张巍. 考虑需求响应的馈线可开放容量评估[J]. 电力自动化设备, 2021, 41(6): 156-165.
	SUN Weiqing, HUANG Fuquan, ZHANG Wei. Evaluation of feeder available capacity considering demand response[J]. Electric Power Automation Equipment, 2021, 41(6): 156-165.
[14]	XIAO J, YOU S T, YUAN W D, et al. Optimal scheduling to improve load supply capability considering the integration of electric vehicles in active distribution system[C]// 2019 IEEE Innovative Smart Grid Technologies-Asia (ISGT Asia). May 21-24, 2019, Chengdu, China. IEEE, 2019: 3333-3338.
[15]	郭志民, 张永浩, 周兴华, 等. 考虑三相不平衡的低压用户业扩报装供电方案精准编制[J]. 电力系统保护与控制, 2018, 46(12): 71-76.
	GUO Zhimin, ZHANG Yonghao, ZHOU Xinghua, et al. Accurate compilation of power supply scheme for low voltage customer considering the three-phase unbalance[J]. Power System Protection and Control, 2018, 46(12): 71-76.
[16]	张小斐, 魏玲, 王自强, 等. 基于负荷特性的大用户业扩辅助分析方法[J]. 电测与仪表, 2019, 56(12): 44-48, 84.
	ZHANG Xiaofei, WEI Ling, WANG Ziqiang, et al. Auxiliary analysis method of power supply access for large consumers based on load characteristics[J]. Electrical Measurement & Instrumentation, 2019, 56(12): 44-48, 84.
[17]	HUANG D S, CHEN B J, HUANG T, et al. Open capacity enhancement model of medium voltage distribution network with mobile energy storage system[J]. IEEE Access, 2020, 8: 205061-205070. doi: 10.1109/Access.6287639 URL
[18]	徐世琨. 基于非序贯蒙特卡罗模拟的配电网信息物理系统可靠性分析[D]. 杭州: 浙江大学, 2019.
	XU Shikun. Reliability analysis of distribution network CPS based on non-sequential Monte-Carlo simulation[D]. Hangzhou: Zhejiang University, 2019.
[19]	中华人民共和国电力工业部.架空绝缘配电线路设计技术规程: DL/T 601—1996[S]. 北京: 中国电力出版社, 1996.
	Ministry of Power Industry of the People’s Republic of China.Design technique requlations for overhead distribution lines with insulated conductors: DL/T 601—1996[S]. Beijing: China Electric Power Press, 1996.
[20]	马国栋. 电线电缆载流量[M]. 2版. 北京: 中国电力出版社, 2013: 231-264.
[21]	LI J L, WANG X C, XIE C, et al. A novel method for seamless closed-loop load transfer in radial distribution networks[J]. IEEE Transactions on Industry Applications, 2023, 59(2): 2254-2265. doi: 10.1109/TIA.2022.3222284 URL
[22]	胡伟, 杨梓俊, 荆江平, 等. 计及N-1安全和网络重构的配网可开放容量评估[J]. 现代电力, 2020, 37(2): 125-132.
	HU Wei, YANG Zijun, JING Jiangping, et al. Open capacity evaluation of distribution network considering N-1 security criteria and network reconfiguration[J]. Modern Electric Power, 2020, 37(2): 125-132.
[23]	HONG H F, HU Z S, GUO R P, et al. Directed graph-based distribution network reconfiguration for operation mode adjustment and service restoration considering distributed generation[J]. Journal of Modern Power Systems and Clean Energy, 2017, 5(1): 142-149. doi: 10.1007/s40565-016-0198-3 URL
[24]	徐成司, 董树锋, 孙洲, 等. 基于网络简化和深度优先遍历的配电网路径搜索算法[J]. 电力系统自动化, 2017, 41(24): 170-176.
	XU Chengsi, DONG Shufeng, SUN Zhou, et al. A path searching algorithm for distribution network based on network simplification and depth first traversal[J]. Automation of Electric Power Systems, 2017, 41(24): 170-176.
[25]	MCMORRAN A W, LINCOLN R W, TAYLOR G A, et al. Addressing misconceptions about the common information model (CIM)[C]// 2011 IEEE Power and Energy Society General Meeting. July 24-28, 2011, Detroit, MI, USA. IEEE, 2011: 1-4.
[26]	朱剑锋, 缪万胜, 康介祥. 基于堆栈回溯的异常处理[J]. 计算机工程与设计, 2014, 35(12): 4176-4180.
	ZHU Jianfeng, MIAO Wansheng, KANG Jiexiang. Exception handling of VxWorks applications based on stack trace[J]. Computer Engineering and Design, 2014, 35(12): 4176-4180.
[27]	颜翰宇. 基于改进“二分法”的配电网线路故障快速处理策略研究[D]. 南宁: 广西大学, 2019.
	YAN Hanyu. Research on fast processing strategy of distribution line fault based on improved dichotomy[D]. Nanning: Guangxi University, 2019.
[28]	许鹏博. 非遍历反常扩散随机游走理论的模型、分析及蒙特卡洛算法模拟[D]. 兰州: 兰州大学, 2020.
	XU Pengbo. Random models, analyses in non-ergodic diffusion and Monte Carlo simulations[D]. Lanzhou: Lanzhou University, 2020.
[29]	国家质量监督检验检疫总局, 中国国家标准化管理委员会.电能质量三相电压不平衡: GB/T 15543—2008[S]. 北京: 中国标准出版社, 2009.
	General Administration of Quality Supervision, Inspection and Quarantine of the People’s Republic of China, Standardization Administration of the People’s Republic of China.Power quality three-phase voltage unbalance: GB/T 15543—2008[S]. Beijing: Standards Press of China, 2009.
[30]	李佩杰, 万海涛, 赵晓慧, 等. 定制化求解机组组合混合整数线性规划模型的固定—推断法[J]. 电力系统保护与控制, 2023, 51(2): 11-21.
	LI Peijie, WAN Haitao, ZHAO Xiaohui, et al. A customized fix and implicate method for mixed integer linear programming models of unit commitment problems[J]. Power System Protection and Control, 2023, 51(2): 11-21.