电工技术学报  2019, Vol. 34 Issue (20): 4358-4372    DOI: 10.19595/j.cnki.1000-6753.tces.181933
电力系统 |
考虑网络动态重构含多异质可再生分布式电源参与调控的配电网多时空尺度无功优化
颜湘武, 徐韵
华北电力大学分布式储能与微网河北省重点实验室 保定 071003
Multiple Time and Space Scale Reactive Power Optimization for Distribution Network with Multi-Heterogeneous RDG Participating in Regulation and Considering Network Dynamic Reconfiguration
Yan Xiangwu, Xu Yun
Key Laboratory of Distributed Energy Storage and Microgrid of Hebei Province North China Electric Power University Baoding 071003 China
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摘要 电压分布局部性、负荷/电源特性多样性和功率脉动性,决定了配电网无功电压调控需要在时间域和空间域内“多级协调、逐级细化”。建立配电网多时空尺度无功优化模型,空间域内进行“全局协同优化”“分区自律调控”和“全局协同调控”的协调配合,并在全局协同优化中融入网络动态重构,拓展优化“可行域”;基于模块度函数和动态无功储备指标进行动态分区并自律调控,实现“分区自治”;分区自律调控结果返回全局层面进行全系统检测和协同调控,提高控制精度;在时间域内由1d周期1h时间粒度的全局协同优化,向分区自律调控5min时间粒度递进,并在各层调控嵌入模型预测控制“预测模型”“滚动优化”和“反馈校正”环节,从而实现时空耦合的“分区逐层”优化调控。最后,以IEEE 33节点系统为例进行仿真分析,结果表明:该文所建模型在空间域和时间域内均实现了精细化控制,工程应用价值显著。
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颜湘武
徐韵
关键词 配电网无功优化可再生分布式电源网络重构动态分区自律协同控制    
Abstract:The locality of voltage distribution, diversity of load/power characteristic and pulsation of active power determine that the voltage and reactive power regulation of the distribution network needs “multi-level coordination and step-by-step refinement” in the time domain and the spatial domain. A multi-time-space-scale reactive power optimization model for distribution network is established. In the spatial domain, the coordination of “global collaborative optimization”, “zonal self-regulation” and “global coordinated regulation” is carried out, and network dynamic reconstruction is integrated into the global collaborative optimization. Herein, the “feasible domain” is optimized; and dynamic partitioning and self-regulation is performed based on the modularity function and dynamic reactive reserve index to achieve “partition autonomy”; the partition autonomy control results return to the global level for system-wide detection and coordinated control to improve control accuracy. In the time domain, the global synergistic optimization is 1d cycle 1h granularity, the partition self-regulation is 5min granularity, and the model predictive control “predictive model”, “rolling optimization” and “feedback correction” is embedded in each layer to achieve the “partition layer by layer” optimization control of space-time coupling. Finally, the IEEE 33-node system is taken as an example for simulation analysis. The results show that the model built in this paper achieves granular control in both spatial and temporal domains, which shows significant engineering application value.
Key wordsReactive power optimization of distribution network    renewable distributed generator    network reconstruction    dynamic partitioning    self-discipline coordinated control   
收稿日期: 2018-12-26      出版日期: 2019-10-30
PACS: TM732  
基金资助:中央高校基本科研业务费专项资金(2017XS119),河北省自然科学基金(E2018502134)资助项目
通讯作者: 徐 韵 女,1990年生,博士研究生,研究方向为新能源并网、电力优化调度。E-mail: xuyun2009054@163.com   
作者简介: 颜湘武 男,1965年生,教授,博士生导师,研究方向为新能源电力系统分析与控制、现代电力变换、新型储能与节能技术。E-mail: xiangwuy@ncepu.edu.cn
引用本文:   
颜湘武, 徐韵. 考虑网络动态重构含多异质可再生分布式电源参与调控的配电网多时空尺度无功优化[J]. 电工技术学报, 2019, 34(20): 4358-4372. Yan Xiangwu, Xu Yun. Multiple Time and Space Scale Reactive Power Optimization for Distribution Network with Multi-Heterogeneous RDG Participating in Regulation and Considering Network Dynamic Reconfiguration. Transactions of China Electrotechnical Society, 2019, 34(20): 4358-4372.
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