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基于模型预测控制的含柔性直流装置的主动配电网电压控制
引用本文:董雷,明捷,孟天骄,陈乃仕,蒲天骄.基于模型预测控制的含柔性直流装置的主动配电网电压控制[J].电力建设,2018,39(7):123-128.
作者姓名:董雷  明捷  孟天骄  陈乃仕  蒲天骄
作者单位:1. 华北电力大学电气与电子工程学院,北京市 102206;2. 中国电力科学研究院有限公司,北京市 100192
基金项目:国家重点研发计划项目(2017YFB0903300);国家电网公司科技项目 (52020116000D)
摘    要:针对含有柔性直流装置的主动配电网(active distribution network,ADN),提出应对分布式电源不确定性的基于模型预测控制(model predictive control, MPC)的三相电压分区控制方法:将主动配电网分为若干区域,采用全局优化和区域自治控制的时序递进控制策略。全局控制以网损最小为目标进行优化,获得各个区域主导节点的电压和离散设备控制指令;区域自治在全局优化结果的基础上,基于模型预测控制方法进行电压滚动优化控制,以应对分布式电源的瞬时波动。算例表明,该文控制方法相对于传统的开环控制方法,能有效应对分布式电源波动带来的电压越限问题,并且相对集中控制分区控制效率更高。

关 键 词:柔性直流装置  主动配电网(ADN)  模型预测控制(MPC)  分区控制  

Voltage Control of Active Distribution Network with Flexible DC Devices Based on Model Predictive Control
DONG Lei,MING Jie,MENG Tianjiao,CHEN Naishi,PU Tianjiao.Voltage Control of Active Distribution Network with Flexible DC Devices Based on Model Predictive Control[J].Electric Power Construction,2018,39(7):123-128.
Authors:DONG Lei  MING Jie  MENG Tianjiao  CHEN Naishi  PU Tianjiao
Affiliation:1.School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China;2.China Electric Power Research Institute, Beijing 100192, China
Abstract:In this paper, a new method based on model predictive control is proposed to control the three phase voltage of active distribution network (ADN) with flexible DC devices. In this method, the active distribution network is divided into several regions, and the multi-time control strategy of the global optimization control and regional MPC control are adopted. The global control obtains the regional dominant node voltage and the discrete device control instructions with the goal of minimize the network loss. Rolling optimization method based on model predictive control is used in the region control to deal with the instantaneous fluctuation of distributed resource. Constructing with the traditional open loop method, the proposed model is verified that it is contributed to dealing with over limit of the voltage out caused by the fluctuation of distributed resources. It is also demonstrated that the proposed distributed control has greater efficiency than the centralized control.
Keywords:flexible DC device  active distribution network(ADN)  model predictive control(MPC)  divisional control  
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