一种基于模型预测控制的主动配电网实时优化调度方法  

A Real-time Optimization Dispatching Method for Active Distribution Networks based on Model Predictive Control

作　　者：燕良坤 周云海[1] 肖兵 高怡欣 石基辰 崔黎丽 YAN Liangkun;ZHOU Yunhai;XIAO Bing;Gao Yixing;SHI Jichen;CUI Lili(College of Electrical Engineering and New Energy,Three Gorges University,Yichang 443002,China;Yidu Xingfa Chemical Co.,Ltd.,Yichang 443311,China)

机构地区：[1]三峡大学电气与新能源学院,湖北宜昌443002 [2]宜都兴发化工有限公司,湖北宜昌443311

出　　处：《水电与新能源》2023年第10期30-34,共5页Hydropower and New Energy

摘　　要：针对新能源发电的不确定性,本文提出了一种基于模型预测控制的主动配电网实时优化调度方法,对可控负荷进行建模,建立以主动配电网有功调整量最小为目标的实时反馈校正模型,并通过二阶锥松弛将非凸非线性规划问题转化为二阶锥规划问题,保证有效求解,在改进的IEEE33节点系统中进行仿真分析,结果验证了所提方法的有效性和优越性,对提高新能源的消纳率和系统的经济性具有重要作用。In response to the uncertainty of new energy power generation,a real-time optimization dispatching method is proposed for active distribution networks based on model predictive control.The controllable loads are modelled and a real-time feedback correction model is constructed with the minimum active power adjustment in the active distribution network as the objective.The second-order cone relaxation is adopted to transform the non-convex nonlinear programming problem into a second-order cone programming problem to ensure its effective solution.Simulation analysis is then carried out in an improved IEEE33 node system.The results verify the effectiveness and superiority of the proposed method,which can play an important role in improving the absorption rate of new energies and the economy of the system.

关 键 词：主动配电网 实时调度 模型预测控制 二阶锥松弛 

分 类 号：TM727[电气工程—电力系统及自动化]