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分布式储能系统参与调压的主动配电网两段式电压协调控制策略
引用本文:张江林,庄慧敏,刘俊勇,高红均,张里,夏榆杭.分布式储能系统参与调压的主动配电网两段式电压协调控制策略[J].电力自动化设备,2019,39(5).
作者姓名:张江林  庄慧敏  刘俊勇  高红均  张里  夏榆杭
作者单位:四川大学电气信息学院;成都信息工程大学控制工程学院;国网四川省电力公司技能培训中心;国网四川省电力公司成都供电公司
基金项目:国家高技术研究发展计划(863计划)项目(2014-AA051901);国家自然科学基金资助项目(51377111)
摘    要:针对主动配电网的电压问题,提出一种基于两阶段运行优化的传统调压设备与分布式储能系统(DESS)协调控制方法。第一阶段为模型预测控制,采用较长时间间隔调节网络节点电压,以传统调压设备为控制对象,以网络损耗最小为目标,建立优化模型,并采用锥优化算法高效求解;第二阶段为基于电压灵敏度的DESS分散控制,负责控制频繁波动的关键节点电压,包括无功功率控制和有功充放电控制,除了进行本地控制,还协调中央控制器完成其他关键节点的控制。修改后的IEEE 34节点系统算例分析表明,所提方法能够有效抑制关键节点电压的频繁波动,阻止网络电压越限,减轻传统调压设备的调压负担。

关 键 词:主动配电网  分布式储能系统  两阶段优化  锥优化算法  分散控制

Two-stage coordinated voltage control scheme of active distribution network with voltage support of distributed energy storage system
ZHANG Jianglin,ZHUANG Huimin,LIU Junyong,GAO Hongjun,ZHANG Li and XIA Yuhang.Two-stage coordinated voltage control scheme of active distribution network with voltage support of distributed energy storage system[J].Electric Power Automation Equipment,2019,39(5).
Authors:ZHANG Jianglin  ZHUANG Huimin  LIU Junyong  GAO Hongjun  ZHANG Li and XIA Yuhang
Affiliation:College of Electrical Engineering and Information Technology, Sichuan University, Chengdu 610065, China; School of Control Engineering, Chengdu University of Information Technology, Chengdu 610225, China,School of Control Engineering, Chengdu University of Information Technology, Chengdu 610225, China,College of Electrical Engineering and Information Technology, Sichuan University, Chengdu 610065, China,College of Electrical Engineering and Information Technology, Sichuan University, Chengdu 610065, China,Skill Training Center of State Grid Sichuan Electric Power Company, Chengdu 610072, China and Chengdu Power Supply Company of State Grid Sichuan Electric Power Company, Chengdu 610041, China
Abstract:Aiming at the voltage problem of ADN(Active Distribution Network),a coordinated control method of traditional voltage regulation devices and DESS(Distributed Energy Storage System) based on two-stage operation optimization is proposed. The first stage is model predictive control, which uses a long time interval to regulate the network node voltage, takes traditional voltage regulation devices as the control objects, and an optimization model is built with the minimum power loss as its objective and solved by cone optimization algorithm with high efficiency. The second stage is voltage sensitivity based decentralized DESS control responsible for controlling critical node vol-tage with frequent fluctuation, which includes reactive power control and active power charging/discharging control, and coordinates with the central controller to control other critical nodes besides local control. The case analysis of modified IEEE 34-bus system shows that the proposed method can effectively restrain frequent voltage fluctuation of critical nodes, prohibit network voltage violate the limit, and relieve the voltage regulation stress of traditional voltage regulation devices.
Keywords:ADN  DESS  two-phase optimization  cone optimization algorithm  decentralized control
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