计及多光储一体机的配电网电压优化控制策略

doi:10.11930/j.issn.1004-9649.202312030

中国电力 ›› 2024, Vol. 57 ›› Issue (6): 69-77, 152.DOI: 10.11930/j.issn.1004-9649.202312030

• 新型电力系统储能规划与运行关键技术 • 上一篇下一篇

计及多光储一体机的配电网电压优化控制策略

韩璟琳¹(), 胡平¹(), 侯若松²(), 陈志永²(), 李洪涛¹(), 柴园园³^,⁴()

1. 国网河北省电力有限公司，河北石家庄　050011
2. 国网河北省电力有限公司经济技术研究院，河北石家庄　050011
3. 天津天海源电气技术有限责任公司，天津　300380
4. 河北工业大学，天津　300401

收稿日期:2023-12-08 录用日期:2024-03-07 发布日期:2024-06-23 出版日期:2024-06-28
作者简介:韩璟琳（1989—），男，通信作者，硕士，工程师，从事配电网规划与运行调度，E-mail：jinglinoliver@163.com
柴园园（1992—），女，博士，副教授，从事配电网运行优化与电压控制，E-mail：yychai@hebut.edu.cn
基金资助:
国网河北省电力公司科技项目（含高比例可再生能源的微电网功率支撑能力提升与灵活互动能力升级方案技术咨询服务，B704JY220058）。

Voltage Optimal Control Strategy for Distribution Networks with Multiple Integrated Photovoltaic and Energy Storage Machines

Jinglin HAN¹(), Ping HU¹(), Ruosong HOU²(), Zhiyong CHEN²(), Hongtao LI¹(), Yuanyuan CHAI³^,⁴()

1. State Grid Hebei Electric Power Co., Ltd., Shijiazhuang 050011, China
2. Economic and Technological Research Institute of State Grid Hebei Electric Power Co., Ltd., Shijiazhuang 050011, China
3. Tianjin THY- Electrical Technology Co., Ltd., Tianjin 300380, China
4. Hebei University of Technology, Tianjin 300401, China

Received:2023-12-08 Accepted:2024-03-07 Online:2024-06-23 Published:2024-06-28
Supported by:
This work is supported by Science and Technology Project of State Grid Hebei Electric Power Co., Ltd. (Technical Consulting Service on Upgrading Power Support and Flexible Interaction Capabilities of Microgrids with High Proportion of Renewable Energy, No.B704JY220058).

摘要/Abstract

摘要：

大规模分布式光伏接入配电网易造成并网点电压越限，威胁配电网安全稳定运行。面向计及多光储一体机的配电网提出一种集中式优化与分布式实时控制相结合的电压优化控制策略。首先建立配电网集中式滚动优化模型，制定各光储下个时段的电压和功率参考；然后提出基于电压灵敏系数的分布式电压实时控制方法，制定就地无功下垂曲线、分布式无功电压支撑和就地有功功率控制逻辑；最后通过IEEE 33节点算例验证所提控制策略的可行性和有效性。所提电压控制策略能够有效解决电压越限问题，并具备源荷功率随机波动下的自适应调压能力。

关键词: 配电网, 光储系统, 电压越限, 集中优化, 分布式控制

Abstract:

The access of large-scale distributed photovoltaic (PV) into distribution networks (DNs) can easily cause voltage violation problem, posing a threat to the safe and stable operation of DNs. Therefore, a voltage optimal control strategy that combines the centralized optimization and distributed real-time control is presented for DNs with multiple integrated PV and energy storage (ES) machines. Firstly, a centralized rolling optimization model is established to formulate the voltage and power references of PV-ES machine in the next period. Then, a distributed voltage real-time control method is proposed using the voltage sensitivity coefficients to develop the local reactive power droop curve, distributed reactive power support and local active power control logic. Finally, the IEEE 33-node system is used to verify the feasibility and effectiveness of the proposed control strategy. The proposed voltage control strategy can effectively solve the voltage violation problem, and possess the adaptive voltage regulation ability under real-time fluctuations of source-load power.

Key words: distribution networks, photovoltaic and energy storage system, voltage violation, centralized optimization, distributed control

韩璟琳, 胡平, 侯若松, 陈志永, 李洪涛, 柴园园. 计及多光储一体机的配电网电压优化控制策略[J]. 中国电力, 2024, 57(6): 69-77, 152.

Jinglin HAN, Ping HU, Ruosong HOU, Zhiyong CHEN, Hongtao LI, Yuanyuan CHAI. Voltage Optimal Control Strategy for Distribution Networks with Multiple Integrated Photovoltaic and Energy Storage Machines[J]. Electric Power, 2024, 57(6): 69-77, 152.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202312030

https://www.electricpower.com.cn/CN/Y2024/V57/I6/69

图/表 9

图 1 配电网电压优化控制架构

Fig.1 Voltage optimal control architecture for distribution networks

图 2 光储就地无功电压下垂曲线

Fig.2 Local reactive voltage sag curve of PV-ES machine

图 3 IEEE 33节点配电系统网络拓扑

Fig.3 Network topology of IEEE 33-node system

图 4 无控制时各节点24 h电压分布曲线

Fig.4 24-hour voltage distribution curves of all nodes without control

图 5 集中优化下各节点24 h电压分布曲线

Fig.5 24-hour voltage distribution curves of all nodes under centralized optimization

图 6 集中优化下储能单元的剩余能量变化曲线

Fig.6 Energy change curves of all energy storage units under centralized optimization

图 7 就地下垂控制前后时段12:00—13:00电压峰谷值

Fig.7 Peak and valley voltage of system during 12 to 13 o’clock before and after local droop control

图 8 时段12:00—13:00分布式电压支撑前后光储无功补偿

Fig.8 Reactive power compensation during 12 to 13 o’clock before and after distributed voltage support

图 9 时段12:00—13:00无功支撑和有功缩减后电压峰谷值

Fig.9 Peak and valley voltage during 12 to 13 o’clock after reactive power support and active power reduction

参考文献 25

1	杨昆, 孙磊, 房超运, 等. 促进新能源消纳的混合发电系统[J]. 中国电力, 2022, 55 (2): 145- 151.
	YANG Kun, SUN Lei, FANG Chaoyun, et al. Hybrid power generation system to promote new energy consumption[J]. Electric Power, 2022, 55 (2): 145- 151.
2	杜晓东, 赵建利, 刘科研, 等. 基于数字孪生的光伏高比例配电网过载风险预警方法[J]. 电力系统保护与控制, 2022, 50 (9): 136- 144. DOI
	DU Xiaodong, ZHAO Jianli, LIU Keyan, et al. Digital twin early warning method study for overload risk of distribution network with a high proportion of photovoltaic access[J]. Power System Protection and Control, 2022, 50 (9): 136- 144. DOI
3	王蓓蓓, 谢明成, 张汀荟, 等. 考虑收益公平性的分布式光储系统基于动态费率的共享模式研究[J]. 电网技术, 2021, 45 (6): 2228- 2237.
	WANG Beibei, XIE Mingcheng, ZHANG Tinghui, et al. Sharing pattern of distributed optical storage system based on dynamic rate considering income equity[J]. Power System Technology, 2021, 45 (6): 2228- 2237.
4	国家发展改革委, 国家能源局. 关于促进新时代新能源高质量发展实施方案的通知[EB/OL].(2023-04-12)[2024-03-26]. http://www.scio.gov.cn/xwfb/gwyxwbgsxwfbh/wqfbh_2284/49421/49789/xgzc49795/202307/t20230704_725184.html.
5	ANTONIADOU-PLYTARIA K E, KOUVELIOTIS-LYSIKATOS I N, GEORGILAKIS P S, et al. Distributed and decentralized voltage control of smart distribution networks: models, methods, and future research[J]. IEEE Transactions on Smart Grid, 2017, 8 (6): 2999- 3008. DOI
6	ZHANG C, XU Y. Hierarchically-coordinated voltage/VAR control of distribution networks using PV inverters[J]. IEEE Transactions on Smart Grid, 2020, 11 (4): 2942- 2953. DOI
7	GERDROODBARI Y Z, RAZZAGHI R, SHAHNIA F. Decentralized control strategy to improve fairness in active power curtailment of PV inverters in low-voltage distribution networks[J]. IEEE Transactions on Sustainable Energy, 2021, 12 (4): 2282- 2292. DOI
8	李浩, 曹华珍, 吴亚雄, 等. 含光伏低压配电网边端功率-电压控制方法[J]. 南方电网技术, 2022, 16 (11): 139- 148. DOI
	LI Hao, CAO Huazhen, WU Yaxiong, et al. Edge-side power-voltage control method of low voltage distribution network with PV systems[J]. Southern Power System Technology, 2022, 16 (11): 139- 148. DOI
9	CHAI Y Y, GUO L, WANG C S, et al. Network partition and voltage coordination control for distribution networks with high penetration of distributed PV units[J]. IEEE Transactions on Power Systems, 2018, 33 (3): 3396- 3407. DOI
10	金子冉, 吴红斌, 周亦尧, 等. 基于电压趋危系数的配电网多时间尺度自适应无功电压控制[J]. 中国电力, 2021, 54 (11): 69- 75.
	JIN Ziran, WU Hongbin, ZHOU Yiyao, et al. Multi-time scale adaptive reactive voltage control for distribution networks based on voltage tendency coefficient[J]. Electric Power, 2021, 54 (11): 69- 75.
11	俞智鹏, 汤奕, 戴剑丰, 等. 基于有功自适应调整的光伏电站无功电压控制策略[J]. 电网技术, 2020, 44 (5): 1900- 1907.
	YU Zhipeng, TANG Yi, DAI Jianfeng, et al. Voltage/Var control strategy of PV plant based on adaptive adjustment of active power[J]. Power System Technology, 2020, 44 (5): 1900- 1907.
12	杨亘烨, 孙荣富, 丁然, 等. 计及光伏多状态调节能力的配电网多时间尺度电压优化[J]. 中国电力, 2022, 55 (3): 105- 114.
	YANG Genye, SUN Rongfu, DING Ran, et al. Multi time scale reactive power and voltage optimization of distribution network considering photovoltaic multi state regulation capability[J]. Electric Power, 2022, 55 (3): 105- 114.
13	黄永红, 王玉祥, 孔维健, 等. 基于改进凸内逼近法的主动配电网有功-无功协调优化[J/OL]. 中国电机工程学报: 1–11[2023-04-27].https://doi.org/10.13334/j.0258-8013.pcsee.230267.
	HUANG Yonghong, WANG Yuxiang, KONG Weijian, et al. Active-reactive power coordinated optimization of active distribution network based on improved convex inner approximation method[J/OL]. Proceedings of the CSEE: 1–11[2023-04-27].https://doi.org/10.13334/j.0258-8013.pcsee.230267.
14	李天伦. 基于嵌入式的用户侧储能优化控制器研究与设计[D]. 常州: 常州大学, 2021.
	LI Tianlun. Research and design of an optimized controller for user-side energy storage based on embedded[D]. Changzhou: Changzhou University, 2021.
15	魏梅芳, 黎跃龙, 胡国峰, 等. 考虑多主体互动的光储充微电网运行模式分析[J]. 电力科学与技术学报, 2023, 38 (2): 133- 140.
	WEI Meifang, LI Yuelong, HU Guofeng, et al. Analysis of operating mode of photovoltaic-energy storage-charging station microgrid considering multi-agent interaction[J]. Journal of Electric Power Science and Technology, 2023, 38 (2): 133- 140.
16	WANG S Y, DU L, FAN X Y, et al. Deep reinforcement scheduling of energy storage systems for real-time voltage regulation in unbalanced LV networks with high PV penetration[J]. IEEE Transactions on Sustainable Energy, 2021, 12 (4): 2342- 2352. DOI
17	李军徽, 孙大朋, 朱星旭, 等. 光伏高渗透率下分布式储能群间协同的电压控制策略[J]. 电力系统自动化, 2023, 47 (10): 47- 56. DOI
	LI Junhui, SUN Dapeng, ZHU Xingxu, et al. Voltage regulation strategy for distributed energy storage considering coordination among clusters with high penetration of photovoltaics[J]. Automation of Electric Power Systems, 2023, 47 (10): 47- 56. DOI
18	何韦唯. 平抑光伏输出波动的储能容量配置[D]. 南京: 南京邮电大学, 2022: 11–15.
	HE Weiwei. Energy storage capacity to stabilize photovoltaic output fluctuations[D]. Nanjing: Nanjing University of Posts and Telecommunications, 2022: 11–15.
19	ABOMAZID A M, EL-TAWEEL N A, FARAG H E Z. Optimal energy management of hydrogen energy facility using integrated battery energy storage and solar photovoltaic systems[J]. IEEE Transactions on Sustainable Energy, 2022, 13 (3): 1457- 1468. DOI
20	张博, 唐巍, 蔡永翔, 等. 基于一致性算法的户用光伏逆变器和储能分布式控制策略[J]. 电力系统自动化, 2020, 44 (2): 86- 94. DOI
	ZHANG Bo, TANG Wei, CAI Yongxiang, et al. Distributed control strategy of residential photovoltaic inverter and energy storage based on consensus algorithm[J]. Automation of Electric Power Systems, 2020, 44 (2): 86- 94. DOI
21	王守相, 程耀祥, 赵倩宇, 等. 考虑光储协调的配电网多阶段就地-分布式电压控制策略[J]. 电力自动化设备, 2024, 44 (1): 1- 9.
	WANG Shouxiang, CHENG Yaoxiang, ZHAO Qianyu, et al. Multi-stage local-distributed voltage control strategy of distribution network considering photovoltaic-energy storage coordination[J]. Electric Power Automation Equipment, 2024, 44 (1): 1- 9.
22	柴园园, 赵晓波, 吕超贤, 等. 基于Fisher时段划分的配电网源网荷储多时间尺度协调优化调控策略[J/OL]. 电网技术: 1–14[2023-05-17].https://doi.org/10.13335/j.1000-3673.pst.2023.0293.
	CHAI Yuanyuan, ZHAO Xiaobo, LÜ Chaoxian, et al. Coordinated multi-time scale optimal regulation strategy for source-grid-load-storage of distribution network based on fisher period division[J]. Power System Technology: 1–14[2023-05-17].https://doi.org/10.13335/j.1000-3673.pst.2023.0293.
23	LI P, JI H R, WANG C S, et al. Coordinated control method of voltage and reactive power for active distribution networks based on soft open point[J]. IEEE Transactions on Sustainable Energy, 2017, 8 (4): 1430- 1442. DOI
24	LOW S H. Convex relaxation of optimal power flow: Part I: formulations and equivalence[J]. IEEE Transactions on Control of Network Systems, 2014, 1 (1): 15- 27. DOI
25	柴园园, 郭力, 王成山, 等. 含高渗透率光伏的配电网分布式电压控制[J]. 电网技术, 2018, 42 (3): 738- 746.
	CHAI Yuanyuan, GUO Li, WANG Chengshan, et al. Distributed voltage control in distribution networks with high penetration of PV[J]. Power System Technology, 2018, 42 (3): 738- 746.

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