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基于分布式模型预测控制的含分布式储能有源配电网动态电压控制
引用本文:李桂鑫,徐科,刘英英,吕永青,窦晓波,迟福建.基于分布式模型预测控制的含分布式储能有源配电网动态电压控制[J].电力建设,2021,42(6):116-126.
作者姓名:李桂鑫  徐科  刘英英  吕永青  窦晓波  迟福建
作者单位:国网天津市电力公司,天津市300010;东南大学电气工程学院,南京市210096
基金项目:国网天津市电力公司科技项目“电力物联网体系下的城市配电网多层级混合储能灵活优化配置技术研究”(KJ20-1-08)
摘    要:针对大规模分布式电源(distributed generator,DG)接入配电网造成的电压越限问题,提出一种基于分布式模型预测控制(distributed model predictive control,DMPC)的含分布式储能有源配电网动态电压控制方法,协调配电网中大量分布式光伏(Photovoltaic,PV)...

关 键 词:分布式模型预测控制  分布式电源  有源配电网  动态电压控制
收稿时间:2020-09-09

Dynamic Voltage Control Based on DMPC for Active Distribution Network with Distributed Energy Storage Systems
LI Guixin,XU Ke,LIU Yingying,LüYongqing,DOU Xiaobo,CHI Fujian.Dynamic Voltage Control Based on DMPC for Active Distribution Network with Distributed Energy Storage Systems[J].Electric Power Construction,2021,42(6):116-126.
Authors:LI Guixin  XU Ke  LIU Yingying  LüYongqing  DOU Xiaobo  CHI Fujian
Affiliation:1. State Grid Tianjin Electric Power Company, Tianjin 300010, China2. School of Electrical Engineering, Southeast University, Nanjing 210096, China
Abstract:In order to solve the voltage violation problem in a distribution network that integrates multiple distributed generators, this paper proposes a method based on distributed model predictive control for coordination of PVs and energy storage systems and for dynamic voltage regulation in a distribution network containing distributed energy storage systems. Firstly, we analysis dynamic characteristics of distributed PVs, energy storage systems and voltage sensitivity model of the distribution network, and construct the whole distribution network model considering dynamic characteristics. Considering large scale and numerous devices of distribution network, we divide it into several subsystems through ε decomposition. Then, this paper designs distributed model predictive controller containing various limits of PVs and energy storage systems and transfers this into solving a QCQP problem to optimize control instructions, and then restoring from voltage violation fast in distribution network. Finally, the simulation result in IEEE 33-node network verifies the validity of proposed method.
Keywords:distributed model predictive control                                                                                                                        distributed generator                                                                                                                        active distribution network                                                                                                                        dynamic voltage control
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