配电网柔性度对分布式发电消纳的影响规律和机理分析

doi:10.11930/j.issn.1004-9649.202311092

中国电力 ›› 2024, Vol. 57 ›› Issue (10): 36-45.DOI: 10.11930/j.issn.1004-9649.202311092

• 面向现代智慧配电网的二次系统规划 • 上一篇下一篇

配电网柔性度对分布式发电消纳的影响规律和机理分析

梁海深¹(), 王康丽¹(), 宋红宇¹(), 郝金娜¹, 肖峻²()

1. 国网天津市电力公司宝坻供电分公司，天津　301800
2. 天津天大求实电力新技术股份有限公司，天津　300392

收稿日期:2023-11-20 录用日期:2024-02-18 发布日期:2024-10-23 出版日期:2024-10-28
作者简介:梁海深（1989—），男，硕士，工程师，从事智能配电网规划运行研究，E-mail：lianghaishen@126.com
王康丽（1991—），女，硕士，工程师，从事“双碳”与新型电力系统建设研究，E-mail：wkl_hd426@163.com
宋红宇（1990—），男，学士，工程师，从事电网运行方式分析与管理，E-mail：964934754@qq.com
肖峻（1971—），男，博士，教授，博士生导师，从事智能配电系统规划与运行技术研究，E-mail：xiaojun@tju.edu.cn
基金资助:
国网天津市电力公司科技项目（宝坻-研发-2023-01）；国家自然科学基金资助项目（基于安全边界的配电系统高效运行理论，52177105）。

Influence Rules and Mechanism Analysis of Distribution Network Flexibility Degree on Distributed Generator Accommodation

Haishen LIANG¹(), Kangli WANG¹(), Hongyu SONG¹(), Jinna HAO¹, Jun XIAO²()

1. State Grid Tianjin Baodi Electric Power Supply Company, Tianjin 301800, China
2. Tianjin Tianda Qiushi Electric Power High Technology Co., Ltd., Tianjin 300392, China

Received:2023-11-20 Accepted:2024-02-18 Online:2024-10-23 Published:2024-10-28
Supported by:
This work is supported by State Grid Tianjin Electric Power Company (No.Baodi-development-2023-01) and National Natural Science Foundation of China (Operational Theory of High Efficiency Distribution System based on Security Boundary, No.52177105)

摘要/Abstract

摘要：

电力电子柔性化和分布式发电（DG）消纳是配电网研究的2个热点问题，揭示了配电网柔性度对DG消纳的影响规律和机理。首先，介绍了配电网柔性度的概念，并改进了柔性度的定义。然后，以典型接线模式和IEEE RBTS-Bus4扩展算例为研究对象，观察随柔性度升高时DG消纳率的变化，并分析规律和机理。研究发现，配电网柔性化并非都能提升DG消纳，存在一个起效条件：智能软开关（soft open point，SOP）某一侧馈线存在DG相对负荷的盈余，同时另一侧存在DG缺额。然而满足起效条件后，消纳率和柔性度之间的规律性仍未显现。提出分析消纳提升限制条件和按SOP安装次序观察的2种方法，发现了隐藏的规律：当存在消纳提升可用空间且无SOP容量限制下，或者同一SOP安装次序下，柔性度和消纳率才具有正相关关系。发现的规律机理为指导配电网的柔性化发展和DG消纳提供了新的理论依据。

关键词: 配电网, 柔性度, 智能软开关, 分布式发电, 消纳, 规律, 机理

Abstract:

Two hot topics in distribution network research are power electronics flexibility and distributed generator (DG) accommodation. This paper revealed the influence rules and their mechanisms of distribution network flexibility degree on DG accommodation. Firstly, the concept of distribution network flexibility degree was introduced, and its definition was improved. Then, by taking typical wiring modes and the expanded IEEE RBTS-Bus4 test system as the research objects, the change in the DG accommodation ratio was observed as the flexibility degree started from 0, and the rules and mechanisms were analyzed. The results show that not all distribution network flexibility can improve DG accommodation, and there is an effective condition. In other words, there is a surplus of DG relative load in the feeder on one side of the soft open point (SOP) and a DG shortage on the other side. However, the regularity between the DG accommodation ratio and flexibility degree doesn’t appear after the effective condition is met. This paper thus proposes two approaches, namely analyzing the restriction conditions of DG accommodation increase and observing SOP installation order, and finds the hidden rules: The flexibility degree and DG accommodation ratio have a positive correlation when there is available space for DG accommodation increase, without the SOP capacity restriction, or when they are in the same SOP installation order. The rules and mechanisms found in this paper provide a new theoretical basis for guiding the flexible development and DG accommodation of distribution networks.

Key words: distribution network, flexibility degree, soft open point, distributed generator, accommodation, rule, mechanism

梁海深, 王康丽, 宋红宇, 郝金娜, 肖峻. 配电网柔性度对分布式发电消纳的影响规律和机理分析[J]. 中国电力, 2024, 57(10): 36-45.

Haishen LIANG, Kangli WANG, Hongyu SONG, Jinna HAO, Jun XIAO. Influence Rules and Mechanism Analysis of Distribution Network Flexibility Degree on Distributed Generator Accommodation[J]. Electric Power, 2024, 57(10): 36-45.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202311092

https://www.electricpower.com.cn/CN/Y2024/V57/I10/36

图/表 14

参考文献 24

1	李鹏, 王瑞, 冀浩然, 等. 低碳化智能配电网规划研究与展望[J]. 电力系统自动化, 2021, 45 (24): 10- 21.
	LI Peng, WANG Rui, JI Haoran, et al. Research and prospect of planning for low-carbon smart distribution network[J]. Automation of Electric Power Systems, 2021, 45 (24): 10- 21.
2	彭道刚, 税纪钧, 王丹豪, 等. “双碳”背景下虚拟电厂研究综述[J]. 发电技术, 2023, 44 (5): 602- 615.
	PENG Daogang, SHUI Jijun, WANG Danhao, et al. Review of virtual power plant under the background of "dual carbon"[J]. Power Generation Technology, 2023, 44 (5): 602- 615.
3	陈灵, 黄兴华, 张功林, 等. 考虑削峰填谷的分布式电源集群协同控制方法[J]. 智慧电力, 2023, 51 (4): 8- 15.
	CHEN Ling, HUANG Xinghua, ZHANG Gonglin, et al. Distributed generations clusters collaborative control method considering peak load shifting[J]. Smart Power, 2023, 51 (4): 8- 15.
4	黄龑, 郝迎鹏, 汪慧娴, 等. 基于二阶统一模型的分布式发电并网同步控制研究[J]. 中国电力, 2023, 56 (12): 41- 50.
	HUANG Yan, HAO Yingpeng, WANG Huixian, et al. Research on synchronization control of distributed generation based on second-order unified model[J]. Electric Power, 2023, 56 (12): 41- 50.
5	张晋铭, 欧阳森, 辛曦, 等. 高渗透率分布式电源影响下配电网极限线损计算方法[J]. 广东电力, 2023, 36 (4): 21- 31.
	ZHANG Jinming, OUYANG Sen, XIN XI, et al. Calculation method of limit line loss of distribution network under influence of high-penetration distributed generation[J]. Guangdong Electric Power, 2023, 36 (4): 21- 31.
6	林林馨妍, 朱俊澎, 袁越. 体系架构下的多微电网分布式韧性增强策略[J]. 中国电力, 2023, 56 (12): 87- 99.
	LIN Linxinyan, ZHU Junpeng, YUAN Yue. A distributed resilience enhancement strategy for multi-microgrids based on system of systems architecture[J]. Electric Power, 2023, 56 (12): 87- 99.
7	康重庆, 姚良忠. 高比例可再生能源电力系统的关键科学问题与理论研究框架[J]. 电力系统自动化, 2017, 41 (9): 2- 11.
	KANG Chongqing, YAO Liangzhong. Key scientific issues and theoretical research framework for power systems with high proportion of renewable energy[J]. Automation of Electric Power Systems, 2017, 41 (9): 2- 11.
8	VERZIJLBERGH R A, DE VRIES L J, LUKSZO Z. Renewable energy sources and responsive demand. do we need congestion management in the distribution grid?[J]. IEEE Transactions on Power Systems, 2014, 29 (5): 2119- 2128. DOI
9	王成山, 季节, 冀浩然, 等. 配电系统智能软开关技术及应用[J]. 电力系统自动化, 2022, 46 (4): 1- 14.
	WANG Chengshan, JI Jie, JI Haoran, et al. Technologies and application of soft open points in distribution networks[J]. Automation of Electric Power Systems, 2022, 46 (4): 1- 14.
10	柔性多状态开关装置技术导则: T/CPSS 1003—2021[S].
11	LI P, JI H R, YU H, et al. Combined decentralized and local voltage control strategy of soft open points in active distribution networks[J]. Applied Energy, 2019, 241, 613- 624. DOI
12	肖峻, 刚发运, 蒋迅, 等. 柔性配电网: 定义、组网形态与运行方式[J]. 电网技术, 2017, 41 (5): 1435- 1446.
	XIAO Jun, GANG Fayun, JIANG Xun, et al. Flexible distribution network: definition, morphology and operation mode[J]. Power System Technology, 2017, 41 (5): 1435- 1446.
13	王莹, 肖峻, 曹严. 柔性配电网间歇性分布式发电消纳能力分析[J]. 电力系统自动化, 2022, 46 (13): 74- 83.
	WANG Ying, XIAO Jun, CAO Yan. Analysis on accommodation capability of intermittent distributed generation in flexible distribution network[J]. Automation of Electric Power Systems, 2022, 46 (13): 74- 83.
14	王灿, 吴耀文, 孙建军, 等. 基于柔性多状态开关的主动配电网双层负荷均衡方法[J]. 电力系统自动化, 2021, 45 (8): 77- 85.
	WANG Can, WU Yaowen, SUN Jianjun, et al. Bi-layer load balancing method in active distribution network based on flexible multi-state switch[J]. Automation of Electric Power Systems, 2021, 45 (8): 77- 85.
15	赵国鹏, 刘思远, 周昕炜, 等. 基于柔性多状态开关的配电网电压波动平抑策略[J]. 高电压技术, 2020, 46 (4): 1152- 1160.
	ZHAO Guopeng, LIU Siyuan, ZHUO Xinwei, et al. Voltage fluctuation suppression strategy based on the flexible multi-state switch in distribution network[J]. High Voltage Engineering, 2020, 46 (4): 1152- 1160.
16	徐全, 袁智勇, 于力, 等. 基于多端SOP的交直流混联配电网多目标运行优化方法[J]. 电力系统及其自动化学报, 2020, 32 (9): 42- 48, 54.
	XU Quan, YUAN Zhiyong, YU Li, et al. Multi-objective optimal operation method for ac/dc hybrid distribution network based on multi-terminal sop[J]. Proceedings of the CSU-EPSA, 2020, 32 (9): 42- 48, 54.
17	黄志强, 陈业伟, 毛志鹏, 等. 柔性多状态开关与分布式储能系统联合接入规划[J]. 电力系统自动化, 2022, 46 (14): 29- 37.
	HUANG Zhiqiang, CHEN Yewei, MAO Zhipeng, et al. Joint access planning of soft open point and distributed energy storage system[J]. Automation of Electric Power Systems, 2022, 46 (14): 29- 37.
18	孙充勃, 李敬如, 原凯, 等. 基于区间优化的配电网智能软开关与储能系统联合优化方法[J]. 高电压技术, 2021, 47 (1): 45- 54.
	SUN Chongbo, LI Jingru, YUAN Kai, et al. Two-stage optimization method of soft open point and energy storage system in distribution network based on interval optimization[J]. High Voltage Engineering, 2021, 47 (1): 45- 54.
19	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.
	MA Li, XUE Fei, SHI Jiying, et al. Tri-level coordinated planning model of distributed generator and intelligent soft open point for active distribution network[J]. Automation of Electric Power Systems, 2018, 42 (11): 86- 93.
20	陈泽西, 王朴, 肖万芳, 等. 计及可靠性收益的配电网柔性多状态开关及分布式电源综合优化配置[J]. 电力建设, 2022, 43 (6): 93- 100.
	CHEN Zexi, WANG Pu, XIAO Wanfang, et al. Integrated optimal configuration of flexible multi-state switch and distributed generation in distribution network considering reliability gain[J]. Electric Power Construction, 2022, 43 (6): 93- 100.
21	肖峻, 王莹, 祖国强. 电力电子化配电网的柔性度[J]. 电力系统自动化, 2023, 47 (6): 30- 39.
	XIAO Jun, WANG Ying, ZU Guoqiang. Flexibility degree for power-electronized distribution network[J]. Automation of Electric Power Systems, 2023, 47 (6): 30- 39.
22	王志强, 方正, 徐艺铭, 等. 计及重要用户失负荷风险的多端智能软开关优化配置方法[J]. 高电压技术, 2020, 46 (4): 1142- 1153.
	WANG Zhiqiang, FANG Zheng, XU Yiming, et al. Optimization configuration method for multi-terminal soft open point considering the load loss risk of important users[J]. High Voltage Engineering, 2020, 46 (4): 1142- 1153.
23	李岩, 陈夏, 李巍巍, 等. 基于智能软开关与联络开关并联的柔性配电网互联结构与控制技术研究[J]. 中国电机工程学报, 2022, 42 (13): 4749- 4760.
	LI Yan, CHEN Xia, LI Weiwei, et al. Research on interconnection structure and control technology of flexible distribution network based on soft open point in parallel with interconnection switch[J]. Proceedings of the CSEE, 2022, 42 (13): 4749- 4760.
24	SAATY T L. Decision making with the analytic hierarchy process[J]. International Journal of Services Sciences, 2008, 1 (1): 83. DOI

馈线	负荷功率	DG出力
馈线	负荷功率	场景1	场景2	场景3
F₁	3.0	6.0	8.0	3.0
F₂	4.0	4.0	3.0	2.0
F₃	5.0	2.0	2.0	4.0

馈线	负荷功率	DG出力
馈线	负荷功率	场景1	场景2	场景3
F₁	3.0	6.0	8.0	3.0
F₂	4.0	4.0	3.0	2.0
F₃	5.0	2.0	2.0	4.0

场景	Case	柔性度D_f	消纳率λ_DG/%
1	0	0.00	75.00
	1	0.49	94.17
	2	0.65	100.00
	3	0.77	75.00
	4	0.84	94.17
	5	1.00	100.00
	6	1.00	100.00
2	0	0.00	61.54
	1	0.49	79.23
	2	0.65	84.62
	3	0.77	69.23
	4	0.84	79.23
	5	1.00	92.31
	6	1.00	92.31
3	0	0.00	100.00
	1	0.49	100.00
	2	0.65	100.00
	3	0.77	100.00
	4	0.84	100.00
	5	1.00	100.00
	6	1.00	100.00

场景	Case	柔性度D_f	消纳率λ_DG/%
1	0	0.00	75.00
	1	0.49	94.17
	2	0.65	100.00
	3	0.77	75.00
	4	0.84	94.17
	5	1.00	100.00
	6	1.00	100.00
2	0	0.00	61.54
	1	0.49	79.23
	2	0.65	84.62
	3	0.77	69.23
	4	0.84	79.23
	5	1.00	92.31
	6	1.00	92.31
3	0	0.00	100.00
	1	0.49	100.00
	2	0.65	100.00
	3	0.77	100.00
	4	0.84	100.00
	5	1.00	100.00
	6	1.00	100.00

例外情况	原因
例外情况	可用空间不足	SOP容量限制
场景1 Case0、3	√
场景1 Case2、5	√
场景1 Case2、4	√	√
场景2 Case1、4		√
场景2 Case2、3	√

配电网柔性度对分布式发电消纳的影响规律和机理分析

Influence Rules and Mechanism Analysis of Distribution Network Flexibility Degree on Distributed Generator Accommodation

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

图/表 14

参考文献 24

相关文章 15

编辑推荐

Metrics

方案编号	SOP位置	SOP台数（端口数）	柔性度D_f	消纳率λ_DG/%	方案编号	SOP位置	SOP台数（端口数）	柔性度D_f	消纳率λ_DG/%
0			0.000	78.05	27	TS1、TS14	2(2)	0.343	87.81
1	···	···	···	···	···	···	···	···	···
···	···	···	···	···	48	TS3、TS13	2(2)	0.303	85.89
3	TS3	1(2)	0.239	81.22	49	TS3、TS14	2(2)	0.320	90.05
···	···	···	···	···	···	···	···	···	···
6	TS6	1(2)	0.238	78.60	80	TS7、TS14	2(2)	0.310	86.88
7	TS7	1(2)	0.229	78.05	···	···	···	···	···
8	TS8	1(2)	0.211	78.60	89	TS9、TS13	2(2)	0.254	83.96
9	TS9	1(2)	0.189	79.28	···	···	···	···	···
10	TS10	1(2)	0.191	79.28	97	TS12、TS14	2(2)	0.252	86.88
11	TS11	1(2)	0.192	78.05	···	···	···	···	···
12	TS12	1(2)	0.219	78.05	101	TS12~14	1(3)	0.252	86.88
13	TS13	1(2)	0.203	82.72	102	TS1、TS3、TS14	3(2)	0.444	90.98
14	TS14	1(2)	0.219	86.88	103	TS1、TS4、TS6	3(2)	0.454	80.47
···	···	···	···	···	104	TS2、TS3、TS13	3(2)	0.451	86.92
19	TS1、TS6	2(2)	0.362	79.53	105	TS8、TS9、TS13	3(2)	0.327	84.51
···	···	···	···	···

[1]	刘晗, 刘金东, 李贺, 李彦立, 于起媛, 赵远, 耿亚男. 基于CEEMDAN与NRBO-XGBoost的含光伏配电网漏电故障辨识[J]. 中国电力, 2025, 58(9): 23-32.
[2]	吉兴全, 张祥星, 张玉敏, 叶平峰, 王德龙, 黄心月. 基于LSD算法的多分支配电网故障定位[J]. 中国电力, 2025, 58(9): 54-67.
[3]	赵珊珊, 高菲, 李雅洁, 李建芳, 张瑜, 段祥骏, 董伟杰. 基于改进模因算法的含微网群的柔性配电网多目标优化控制[J]. 中国电力, 2025, 58(9): 97-104.
[4]	王世谦, 韩丁, 王楠, 白宏坤, 宋大为, 胡彩红. 基于双层主从博弈的主动配电网协同调度[J]. 中国电力, 2025, 58(9): 105-114.
[5]	栗志鹏, 刘少博, 杨浩, 董蕊, 祁琛峰, 沈硕, 赵鹏. 基于PSO的配电网谐波抑制与降损增效协同优化[J]. 中国电力, 2025, 58(8): 50-59.
[6]	刘军会, 龚健, 佟炳绅, 李松杰, 张艺涵, 崔世常, 田春筝, 张永斌. 基于分布式储能与光伏的虚拟电厂与配电网协同优化方法[J]. 中国电力, 2025, 58(6): 1-9.
[7]	王方敏, 顼佳宇, 苏宁, 牛焕娜, 袁嘉兴, 门盼龙. 新型电力系统风险抑制下分布式光伏承载力概率评估方法[J]. 中国电力, 2025, 58(6): 33-44.
[8]	叶小宁, 王彩霞, 时智勇, 步雨洛, 杨超, 吴思. 国外高比例新能源消纳分析及对中国新能源可持续发展的建议[J]. 中国电力, 2025, 58(6): 137-144.
[9]	秦昆, 渠志江, 韩建伟, 许涛, 高峰, 迟晓莉. 基于可调虚拟阻抗的“柔-储-充”装置电池优化运行策略[J]. 中国电力, 2025, 58(6): 145-155.
[10]	李鹏, 祖文静, 刘一欣, 田春筝, 郝元钊, 李慧璇. 基于不完全量测数据的配电网状态估计方法[J]. 中国电力, 2025, 58(5): 1-10.
[11]	汪进锋, 李金鹏, 许银亮, 刘海涛, 何锦雄, 许建远. 考虑不确定性和绿证交易的虚拟电厂与配电网分布式优化[J]. 中国电力, 2025, 58(4): 21-30, 192.
[12]	戴道明, 赵莺. 考虑消纳责任权重的可再生能源电力供应链绿证监管演化博弈分析[J]. 中国电力, 2025, 58(4): 216-229.
[13]	徐慧慧, 田云飞, 赵宇洋, 彭婧, 石庆鑫, 成锐. 基于条件生成对抗网络与多智能体强化学习的配电网可靠性评估方法[J]. 中国电力, 2025, 58(4): 230-236.
[14]	鲍红焉, 刘吉成, 刘子毅, 孙嘉康. 考虑电氢混合储能容量配置的主动配电网双层优化模型[J]. 中国电力, 2025, 58(10): 27-38.
[15]	郑永乐, 韦仁博, 冯宇昂, 张艺涵, 崔世常, 武振宇, 蒋小亮, 李慧璇, 艾小猛, 方家琨. 农村新型电力系统精细化时序生产模拟方法[J]. 中国电力, 2025, 58(10): 71-81.

模态框（Modal）标题

配电网柔性度对分布式发电消纳的影响规律和机理分析

Influence Rules and Mechanism Analysis of Distribution Network Flexibility Degree on Distributed Generator Accommodation

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

图/表 14

参考文献 24

相关文章 15

编辑推荐

Metrics