引用本文:刘泽健,杨苹,许志荣,余涛.区域自治型单三相多微电网实时模型预测控制[J].电力自动化设备,2018,(9):
LIU Zejian,YANG Ping,XU Zhirong,YU Tao.Real-time model predictive control for regional autonomy multi-microgrid with single-phase/three-phase architecture[J].Electric Power Automation Equipment,2018,(9):
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区域自治型单三相多微电网实时模型预测控制
刘泽健1, 杨苹1,2, 许志荣1, 余涛1
1.华南理工大学 电力学院 广东省绿色能源技术重点实验室,广东 广州 511458;2.华南理工大学 风电控制与并网技术国家地方工程实验室,广东 广州 511458
摘要:
随着用户侧微电网工程的逐步推广,一定区域内不同相序的微电网可联结成单三相混联的多微电网系统。针对脱离配电网情况下所形成的区域自治型单三相多微电网,提出一种基于模型预测控制的实时控制策略。所提策略根据多微电网集散式分层控制架构,考虑三相不平衡度,以实时联络线功率与给定参考值的偏差最小为控制目标,构建多输入、多扰动、多变量的动态预测模型,再将其转化为混合整数非线性规划问题进行求解,同时引入反馈校正环节进行预测误差修正,实现滚动式的有限时域闭环优化。仿真结果表明,所提策略可实现区域自治型单三相多微电网实时源、荷、储的功率调节,平抑源、荷的出力波动,跟踪联络线功率以满足三相不平衡度约束,有利于区域微电网的规模化推广。
关键词:  单三相多微电网  区域自治  模型预测控制  实时控制  三相不平衡  模型
DOI:10.16081/j.issn.1006-6047.2018.09.001
分类号:TM761
基金项目:广东省科技计划项目(2016B020245001)
Real-time model predictive control for regional autonomy multi-microgrid with single-phase/three-phase architecture
LIU Zejian1, YANG Ping1,2, XU Zhirong1, YU Tao1
1.Guangdong Key Laboratory of Clean Energy Technology, School of Electric Power, South China University of Technology, Guangzhou 511458, China;2.National-Local Joint Engineering Laboratory for Wind Power Control and Integration Technology, South China University of Technology, Guangzhou 511458, China
Abstract:
With the gradual popularization of microgrid projects in the consumer side, the microgrids with different phase sequences in a certain region can be interconnected to multi-microgrid systems with single-phase/three-phase architecture. As for the regional autonomy multi-microgrid operated independently from the distribution network, a model predictive control-based real-time control strategy is proposed. Based on the distributed hierarchical control architecture of multi-microgrid and considering the three-phase unbalance factor, a dynamic prediction model with multi-input, multi-disturbance and multi-variable is established with the minimum deviation between the real-time tie-line power and the given reference value as its control objective, which is then transformed into a mixed integer nonlinear programming problem to be solved. And the feedback correction is introduced to correct the prediction errors to realize the rolling finite time-domain closed-loop optimization. Simulative results show that the proposed control strategy can realize the real-time power control among sources, loads and storages in the regional autonomy multi-microgrid with single-phase/three-phase architecture, smooth the power output fluctuations of sources and loads, and track the tie-line power to meet the constraint of three-phase unbalance factor, which is conducive to the large-scale promotion of regional microgrids.
Key words:  multi-microgrid with single-phase/three-phase architecture  regional autonomy  model predictive con-trol  real-time control  three-phase unbalance  models

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