基于深度优先遍历的配电网可开放容量分析和业扩报装决策

doi:10.12204/j.issn.1000-7229.2023.05.004

电力建设 ›› 2023, Vol. 44 ›› Issue (5): 34-42.doi: 10.12204/j.issn.1000-7229.2023.05.004

基于深度优先遍历的配电网可开放容量分析和业扩报装决策

徐成司¹(), 董树锋²(), 吴振杰¹, 华一波², 唐剑¹, 杨兴超¹

1.国网浙江省电力有限公司杭州供电公司, 杭州市 310016
2.浙江大学电气工程学院,杭州市 310027

收稿日期:2022-08-08 出版日期:2023-05-01 发布日期:2023-04-27
通讯作者: 董树锋(1982),男,博士,副教授,主要研究方向为主动配电网分析,E-mail:dongshufeng@zju.edu.cn
作者简介:徐成司(1995),男,硕士,主要研究方向为配电网规划与运行、配电网供电能力分析,E-mail:924094856@qq.com;
吴振杰(1975),男,硕士,高级工程师,主要研究方向为电力系统调度控制、继电保护;
华一波(1998),女,硕士研究生,主要研究方向为综合能源系统规划与运行、综合需求响应;
唐剑(1975),男,硕士,高级工程师,主要研究方向为电力系统调度控制与自动化技术;
杨兴超(1982),男,高级工程师,主要研究方向为电力大数据、监控信息分析。
基金资助:
国家自然科学基金资助项目(52077193)

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

XU Chengsi¹(), DONG Shufeng²(), WU Zhenjie¹, HUA Yibo², TANG Jian¹, YANG Xingchao¹

1. Hangzhou Power Supply Company of State Grid Zhejiang Electricity Power Co., Ltd., Hangzhou 310016, China
2. College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China

Received:2022-08-08 Online:2023-05-01 Published:2023-04-27
Supported by:
National Natural Science Foundation of China(52077193)

摘要/Abstract

摘要：

针对当前配电网可开放容量计算粗略、业扩报装依赖人工经验、未能有效发挥数据赋能决策的问题,将可开放容量与业扩报装分析相结合,提出基于深度优先遍历的配电网可开放容量计算和业扩报装优化决策方法。首先,考虑季节和日负荷特性,基于深度优先遍历算法计算包含季节和日内时序特性的配电网馈线分区和台区公变可开放容量。其次,考虑可开放容量与负荷曲线相匹配、负载均衡、台区三相平衡等多目标,建立业扩报装优化决策模型,得到馈线分区至台区两个层次的精细化负荷最优接入方案。最后,采用IEEE标准配电系统和某实际配电网络的算例,分析验证了所提可开放容量计算方法的高效性,所提业扩报装决策方法能够有效应用可开放容量分析结果,得到兼顾多目标的精细化负荷接入方案。

关键词: 配电网, 深度优先遍历, 可开放容量, 负荷特性, 业扩报装, 配电台区

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

中图分类号:

TM715

徐成司, 董树锋, 吴振杰, 华一波, 唐剑, 杨兴超. 基于深度优先遍历的配电网可开放容量分析和业扩报装决策[J]. 电力建设, 2023, 44(5): 34-42.

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.

图/表 7

图1 配电网接线示意图

Fig.1 Schematic diagram of distribution network

图2 基于深度优先遍历的可开放容量分析流程

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

表1 可开放容量分析耗时对比

Table 1 Time consuming comparison of available capacity analysis

表2 IEEE 13节点系统可开放容量

Table 2 Available capacity of IEEE 13-node system

图3 考虑时序特性的可开放容量分析结果

Fig.3 Analysis results of available capacity considering timing characteristics

图4 业扩报装负荷

Fig.4 Business expansion load

图5 馈线分区可开放容量

Fig.5 Available capacity of feeder partition

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基于深度优先遍历的配电网可开放容量分析和业扩报装决策

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

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