新能源高渗透配电网柔性多状态开关的多目标优化控制策略

doi:10.11930/j.issn.1004-9649.202405027

中国电力 ›› 2025, Vol. 58 ›› Issue (1): 85-92.DOI: 10.11930/j.issn.1004-9649.202405027

• 基于数据驱动的电力系统安全稳定分析与控制 • 上一篇下一篇

新能源高渗透配电网柔性多状态开关的多目标优化控制策略

刘文军¹^,²(), 董伟杰³(), 陈远扬⁴, 何书耘¹^,², 陈剑¹^,², 贾东强⁵

1. 国网湖南省电力有限公司经济技术研究院，湖南长沙　410007
2. 能源互联网供需运营湖南省重点实验室，湖南长沙　410007
3. 北京信息科技大学机电工程学院，北京　100092
4. 国网湖南省电力有限公司，湖南长沙　410004
5. 国网北京市电力公司，北京　100031

收稿日期:2024-05-09 出版日期:2025-01-28 发布日期:2025-01-23
作者简介:刘文军（1986—），男，高级工程师，从事配电台区柔性互联、微电网等研究，E-mail：wenjunliu1346@163.com
董伟杰（1982—），男，通信作者，博士，副教授，从事分布式电源并网技术、微电网等研究，E-mail：dongweijie@bistu.edu.cn
基金资助:
国家自然科学基金资助项目（52237008）；国网湖南省电力有限公司科技项目（5216A222000S）。

Multi-objective Optimization Control Strategy for Soft Open Point in Distribution Network with High Penetration of DG

Wenjun LIU¹^,²(), Weijie DONG³(), Yuanyang CHEN⁴, Shuyun HE¹^,², Jian CHEN¹^,², Dongqiang JIA⁵

1. State Grid Hunan Electric Power Company Limited Economic & Technical Research Institute, Changsha 410007, China
2. Hunan Key Laboratory of Energy Internet Supply-demand and Operation, Changsha 410007, China
3. Beijing University of Information Technology, College of Mechanical and Electrical Engineering, Beijing 100192, China
4. State Grid Hunan Electric Power Company Limited, Changsha 410004, China
5. State Grid Beijing Electric Power Company, Beijing 100031, China

Received:2024-05-09 Online:2025-01-28 Published:2025-01-23
Supported by:
This work is supported by National Natural Science Foundation of China (No.52237008), Science and Technology Project of State Grid Hunan Electric Power Co., Ltd. (No.5216A222000S).

摘要/Abstract

摘要：

利用柔性多状态开关（soft open point，SOP）提升配电网的分布式能源（distributed generation，DG）消纳能力，提出了配电台区SOP的多目标优化控制策略。通过分析配电网SOP的接入模式，考虑其在分布式电源消纳与削峰填谷的作用，构建了分布式能源日消纳量最大、控制成本最低和馈线日净负荷偏差最小的多目标模型。以改进的配电网算例进行仿真对比验证。结果表明：SOP接入有利于提升新能源消纳，并实现负载均衡。

关键词: 柔性多状态开关, 配电台区, 分布估计, 多目标优化

Abstract:

A multi-objective optimization control strategy for distribution station SOP is proposed to enhance the distributed generation (DG) consumption capability of the distribution network by utilizing multi soft open point (SOP). By analyzing the access mode of SOP in the distribution network and considering its role in distributed power consumption and peak shaving, a multi-objective model was constructed to maximize the daily consumption of distributed energy, minimize control costs, and minimize the deviation of daily net load of feeder lines. Conduct simulation comparison and verification using an improved distribution network example. The results indicate that SOP integration is beneficial for improving the consumption of new energy and achieving load balancing.

Key words: soft open point, distribution network, distributed estimation, multi-objective optimization

刘文军, 董伟杰, 陈远扬, 何书耘, 陈剑, 贾东强. 新能源高渗透配电网柔性多状态开关的多目标优化控制策略[J]. 中国电力, 2025, 58(1): 85-92.

Wenjun LIU, Weijie DONG, Yuanyang CHEN, Shuyun HE, Jian CHEN, Dongqiang JIA. Multi-objective Optimization Control Strategy for Soft Open Point in Distribution Network with High Penetration of DG[J]. Electric Power, 2025, 58(1): 85-92.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202405027

https://www.electricpower.com.cn/CN/Y2025/V58/I1/85

图/表 13

图 1 柔性多状态开关类型和接入位置

Fig.1 The type and location for SOP

图 2 引入分布估计的NSGⅡ优化流程

Fig.2 Flowchart for the NSGⅡ with distributed emulation

图 3 分段式种群编码

Fig.3 The segmented coding

图 4 柔性配电网拓扑结构

Fig.4 Topological structure for flexible distribution network

表 1 分布式电源信息

Table 1 Information for distributed resource

分布式电源	位置	容量/(kV·A)	有功功率/kW
光伏	26	500	450
光伏	71	430	350
风电	32	400	360
风电	38	380	360
风电	6	420	380
电池	16	600	480
电池	33	500	450
电池	34	500	450
电池	50	400	350
电池	72	500	450
燃气轮机	22	500	450

图 5 光伏出力

Fig.5 The output of photovoltaic power

图 6 风电出力

Fig.6 The output of wind power

图 7 24小时负荷分布曲线

Fig.7 24-hour distribution curve for load

表 2 部分传统开关状态

Table 2 Some pareto frontier solution

方案	重构时段	断开开关
1	00:00	14-15、23-24、42-43、51-52、65-66
	09:00	12-13、29-30、42-43、46-54、59-60
	18:00	23-24、30-31、41-42、40-51、46-54
2	00:00	12-13、25-26、29-30、40-41、66-67
	09:00	13-14、30-31、41-42、46-54、57-65
	18:00	23-24、30-31、40-51、42-43、65-66
3	00:00	12-13、26-27、30-31、42-43、46-54
	09:00	23-24、31-32、40-51、41-42、45-46
	18:00	26-27、30-31、42-43、46-54、58-59
4	00:00	12-13、23-24、30-31、40-51、65-66
	09:00	13-14、23-24、39-40、40-41、45-46
	18:00	25-26、32-33、42-43、51-52、46-54

表 3 目标函数值

Table 3 objective function

方案	分布式电源消纳量/(MW·h)	日净负荷偏差/MW²	网损/ (kW·h)
SOP加入前	18.529	1.476	3310.25
A1	21.826	1.072	2414.61
A2	20.763	0.814	2386.38
A3	19.850	1.181	2363.05
A4	20.947	0.938	2391.13

图 8 多目标Pareto解集

Fig.8 Pareto solution for multi-objectives

图 9 SOP传输有功和补偿无功

Fig.9 Active power transmission and reactive power compensation of SOP

图 10 不同方法求解效率对比

Fig.10 Comparison of solving efficiency of different methods

参考文献 30

1	宋亮, 邢志同, 毛晨旭, 等. 基于智能光储软开关的柔性有源配电网潮流优化[J]. 山东电力技术, 2024, 51 (6): 36- 42, 84.
	SONG Liang, XING Zhitong, MAO Chenxu, et al. Power flow optimization of flexible active distribution network based on photovoltaic-energy storage SNOP[J]. Shandong Electric Power, 2024, 51 (6): 36- 42, 84.
2	曾永浩, 范心明, 彭元泉, 等. 三端柔性多状态开关运行控制与示范应用[J]. 中国电力, 2021, 54 (11): 97- 103.
	ZENG Yonghao, FAN Xinming, PENG Yuanquan, et al. Operation and application of flexible distribution multi-state switch with three teminals[J]. Electric Power, 2021, 54 (11): 97- 103.
3	徐晶, 赵亮, 张梁, 等. 考虑移动储能接入的柔性配电网运行优化策略[J]. 中国电力, 2023, 56 (9): 112- 119.
	XU Jing, ZHAO Liang, ZHANG Liang, et al. Operation optimization method for flexible distribution network consideringthe integration of mobile energy storage[J]. Electric Power, 2023, 56 (9): 112- 119.
4	陈峰, 方建亮, 陆海清, 等. 基于区段开关图的配电网开关状态辨识[J]. 浙江电力, 2023, 42 (8): 100- 106.
	CHEN Feng, FANG Jianliang, LU Haiqing, et al. Breaker state identification for distribution network based on section breaker graph[J]. Zhejiang Electric Power, 2023, 42 (8): 100- 106.
5	蒋维, 李新, 王圣, 等. 含储能的多端口柔性合环开关协调控制研究[J]. 广东电力, 2024, 37 (4): 38- 48.
	JIANG Wei, LI Xin, WANG Sheng, et al. Research on coordinated control strategy of multi-port flexible closed-loop switch with energy storage system[J]. Guangdong Electric Power, 2024, 37 (4): 38- 48.
6	蔡欢, 袁旭峰, 熊炜, 等. 柔性互联配电网运行调度研究综述[J]. 智慧电力, 2022, 50 (6): 92- 99, 106.
	CAI Huan, YUAN Xufeng, XIONG Wei, et al. Review on operation scheduling of flexible interconnected distribution network[J]. Smart Power, 2022, 50 (6): 92- 99, 106.
7	秦清, 韩蓓, 李国杰, 等. 含智能软开关的配电网多阶段弹性力学映射与评估[J]. 电工技术学报, 2021, 36 (21): 4444- 4458.
	QIN Qing, HAN Bei, LI Guojie, et al. Multi-stage elastic mechanical modelling and evaluation of distribution networks with soft open point[J]. Transactions of China Electrotechnical Society, 2021, 36 (21): 4444- 4458.
8	王钦, 陈业夫, 蔡新雷, 等. 考虑柔性负荷和阶梯型碳交易的低碳经济优化调度策略[J]. 广东电力, 2024, 37 (1): 76- 85.
	WANG Qin, CHEN Yefu, CAI Xinlei, et al. Optimization scheduling strategy for low-carbon economy considering flexible loads and tiered carbon trading[J]. Guangdong Electric Power, 2024, 37 (1): 76- 85.
9	杨德林, 谭令其, 欧阳文艳, 等. 半桥型柔性直流换流器功率模块典型故障分析[J]. 内蒙古电力技术, 2024, 42 (1): 84- 90.
	YANG Delin, TAN Lingqi, OUYANG Wenyan, et al. Typical fault analysis of power module of half-bridge flexible DC converter[J]. Inner Mongolia Electric Power, 2024, 42 (1): 84- 90.
10	程骁, 顾乔根, 任旭超, 等. 海上风电柔性直流输电换流变差动保护的适应性分析[J]. 浙江电力, 2024, 43 (3): 8- 18.
	CHENG Xiao, GU Qiaogen, REN Xuchao, et al. Adaptability analysis on differential protection of converter transformers in a VSC-HVDC transmission system connected to offshore wind farms[J]. Zhejiang Electric Power, 2024, 43 (3): 8- 18.
11	伏绍鑫, 张路, 唐翰峰, 等. 考虑柔性电热负荷的区域综合能源系统低碳经济调度[J]. 电力科技与环保, 2023, 39 (5): 417- 428.
	FU Shaoxin, ZHANG Lu, TANG Hanfeng, et al. Low-carbon economic dispatch of community integrated energy system considering flexible electric heating load[J]. Electric Power Technology and Environmental Protection, 2023, 39 (5): 417- 428.
12	孙银锋, 夏大朋, 高梓淳. 基于蒙特卡罗模拟法的柔性交直流混联配电网概率潮流计算[J]. 东北电力大学学报, 2023, 43 (2): 82- 92.
	SUN Yinfeng, XIA Dapeng, GAO Zichun. Flexible AC/DC hybrid distribution network based on Monte Carlo simulation probabilistic load flow calculation[J]. Journal of Northeast Electric Power University, 2023, 43 (2): 82- 92.
13	徐重酉, 王明月, 刘天元, 等. 非理想通信环境下主动配电网柔性负荷建模与优化控制方法[J]. 浙江电力, 2023, 42 (11): 104- 113.
	XU Chongyou, WANG Mingyue, LIU Tianyuan, et al. A modeling and optimal control method of flexible load in the active distribution networks in non-ideal communication environments[J]. Zhejiang Electric Power, 2023, 42 (11): 104- 113.
14	徐旖旎, 刘海涛, 熊雄, 等. 低压配电台区柔性互联关键技术与发展模式[J]. 中国电机工程学报, 2022, 42 (11): 3986- 4001.
	XU Yini, LIU Haitao, XIONG Xiong, et al. Key technologies and development modes of flexible interconnection of low-voltage distribution station area[J]. Proceedings of the CSEE, 2022, 42 (11): 3986- 4001.
15	徐波, 熊国江, 叶方慧. 基于智能软开关优化配置的配电网柔性互联策略[J]. 电网与清洁能源, 2023, 39 (11): 86- 96.
	XU Bo, XIONG Guojiang, YE Fanghui. A flexible interconnection strategy for distribution networks based on intelligent soft-open point configuration[J]. Power System and Clean Energy, 2023, 39 (11): 86- 96.
16	LI J G, ZHANG L, ZHANG B, et al. Coordinated planning for flexible interconnection and energy storage system in low-voltage distribution networks to improve the accommodation capacity of photovoltaic[J]. Global Energy Interconnection, 2023, 6 (6): 700- 713. DOI
17	YAN X W, WANG Q G, BU J Y. High penetration PV active distribution network power flow optimization and loss reduction based on flexible interconnection technology[J]. Electric Power Systems Research, 2024, 226, 109839. DOI
18	王强, 刘岩松, 陈祥雪, 等. 具有对称辅助电路的谐振直流环节三电平软开关逆变器[J]. 中国电机工程学报, 2014, 34 (27): 4584- 4593.
	WANG Qiang, LIU Yansong, CHEN Xiangxue, et al. Resonant DC link three-level soft-switching inverter with symmetrical auxiliary circuits[J]. Proceedings of the CSEE, 2014, 34 (27): 4584- 4593.
19	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.
20	王辉, 王勇, 张晓滨, 等. 构网型分布式电源渗透率高的微电网潮流计算及优化控制[J]. 电网与清洁能源, 2024, 40 (4): 35- 43.
	WANG Hui, WANG Yong, ZHANG Xiaobin, et al. Power flow calculation and optimization control of the microgrid with high penetration of grid-forming distributed generators[J]. Power System and Clean Energy, 2024, 40 (4): 35- 43.
21	徐恒辉, 姚杰, 周萍, 等. 基于运行数据的光伏电站状态评估方法研究[J]. 电力科技与环保, 2023, 39 (5): 450- 456.
	XU Henghui, YAO Jie, ZHOU Ping, et al. Research on photovoltaic power plant state evaluation based on operating data[J]. Electric Power Technology and Environmental Protection, 2023, 39 (5): 450- 456.
22	印云刚, 刘闯, 何其新, 等. 基于改进狼群算法的含风电配电网无功优化[J]. 内蒙古电力技术, 2023, 41 (3): 1- 7.
	YIN Yungang, LIU Chuang, HE Qixin, et al. Reactive power optimization of wind power distribution network based on improved wolf pack algorithm[J]. Inner Mongolia Electric Power, 2023, 41 (3): 1- 7.
23	TOLABI H B, ALI M H, SHAHRIN BIN MD AYOB, et al. Novel hybrid fuzzy-Bees algorithm for optimal feeder multi-objective reconfiguration by considering multiple-distributed generation[J]. Energy, 2014, 71, 507- 515. DOI
24	陈红坤, 夏方舟, 袁栋, 等. 直流配电网中含光伏的电动汽车快速充电站优化配置方案[J]. 电力系统自动化, 2020, 44 (16): 53- 60.
	CHEN Hongkun, XIA Fangzhou, YUAN Dong, et al. Optimal configuration scheme of fast electric vehicle charging station with photovoltaic in DC distribution network[J]. Automation of Electric Power Systems, 2020, 44 (16): 53- 60.
25	王青松, 谢兴生, 周光临. 一种改进的非支配排序遗传算法[J]. 信息技术与网络安全, 2019, 38 (5): 28- 32, 36.
	WANG Qingsong, XIE Xingsheng, ZHOU Guanglin. An improved non-dominated sorting genetic algorithm[J]. Information Technology and Network Security, 2019, 38 (5): 28- 32, 36.
26	杨彪, 颜伟, 莫静山. 考虑源荷功率随机性和相关性的主导节点选择与无功分区方法[J]. 电力系统自动化, 2021, 45 (11): 61- 67.
	YANG Biao, YAN Wei, MO Jingshan. Pilot-bus selection and network partitioning method considering randomness and correlation of source-load power[J]. Automation of Electric Power Systems, 2021, 45 (11): 61- 67.
27	黄越辉, 卢慧, 李建华, 等. 新能源极端出力特性及典型电力电量平衡场景研究[J]. 电网与清洁能源, 2024, 40 (2): 1- 9.
	HUANG Yuehui, LU Hui, LI Jianhua, et al. A study on the characteristics of renewable energy extreme output and typical power and energy balancing scenarios for new type power systems[J]. Power System and Clean Energy, 2024, 40 (2): 1- 9.
28	杨彪, 李佳蓉, 魏子轲. 美国分布式能源发展对我国的启示[J]. 中国电力企业管理, 2024, (25): 94- 96.
29	呼斯乐, 王渊, 于源, 等. 考虑风光不确定性与灵活性指标的园区综合能源系统最优调度[J]. 内蒙古电力技术, 2024, 42 (1): 15- 21.
	HU Sile, WANG Yuan, YU Yuan, et al. Optimal dispatching of integrated energy system in industrial parks considering wind and solar uncertainty and flexibility indicators[J]. Inner Mongolia Electric Power, 2024, 42 (1): 15- 21.
30	李思能, 刘志勇, 曾庆彬. 高比例新能源接入的输电网外送通道与储能分布鲁棒优化协同规划方法[J]. 广东电力, 2024, 37 (1): 49- 59.
	LI Sineng, LIU Zhiyong, ZENG Qingbin. Distributionally robust optimization collaborative planning method for transmission network external channel and energy storage with high proportion of renewable energy[J]. Guangdong Electric Power, 2024, 37 (1): 49- 59.

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[15]	易越, 袁志昌, 郑浩, 史梓男, 马唯婧. 多时间尺度的直流配电网运行优化[J]. 中国电力, 2018, 51(10): 64-71.

新能源高渗透配电网柔性多状态开关的多目标优化控制策略

Multi-objective Optimization Control Strategy for Soft Open Point in Distribution Network with High Penetration of DG

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新能源高渗透配电网柔性多状态开关的多目标优化控制策略

Multi-objective Optimization Control Strategy for Soft Open Point in Distribution Network with High Penetration of DG

RichHTML

PDF (PC)

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摘要/Abstract

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参考文献 30

相关文章 15

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