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 接受日期:2024-04-22 出版日期:2024-06-28 发布日期:2024-06-25
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:2024-04-22 Online:2024-06-28 Published:2024-06-25
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

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