基于分布式MPC的微电网控制策略  

Control Strategy for Microgrid Based on Distributed Model Predictive Control

作　　者：郭向伟 阿斯楞 张曼 朱皓斌 李峰[3] 李博通 GUO Xiangwei;A Sileng;ZHANG Man;ZHU Haobin;LI Feng;LI Botong(Inner Mongolia Power(Group)Co.,Ltd.,Hohhot 010000,China;NR Electrical Co.,Ltd.,Nanjing 211102,China;Inner Mongolia Power(Group)Co.,Ltd.Alxa Power Supply Branch,Alxa League 750306,China;School of Electrical and Information Engineering,Tianjin University,Tianjin 300072,China)

机构地区：[1]内蒙古电力(集团)有限责任公司,内蒙古呼和浩特010000 [2]南京南瑞继保工程技术有限公司,江苏南京211102 [3]内蒙古电力(集团)有限责任公司阿拉善供电分公司,内蒙古阿拉善盟750306 [4]天津大学电气自动化与信息工程学院,天津300072

出　　处：《智慧电力》2025年第2期41-48,64,共9页Smart Power

基　　金：国家自然科学基金资助项目(52177108);国网内蒙古东部电力有限公司科技项目(2021ZD0039)。

摘　　要：为解决集中式优化控制无法应对大量电动汽车(EV)随机接入微电网引起的功率波动问题,提出了基于分布式模型预测控制(MPC)的微电网控制策略。首先,建立EV参与需求响应的可行时间模型来描述EV的充放电事件,评估各时戳下EV个体参与需求响应的可能性。其次,基于MPC得到每辆EV的最优出力计划,利用碳配额机制并结合实时电价,引导EV用户积极参与需求响应。最后,通过算例分析表明,所提出的微电网控制策略可有效应对EV随机性引起的微电网波动性问题,并能根据实时更新的状态信息调整充电/放电计划,保证微电网稳定经济运行。In order to solve the problem of power fluctuation caused by a large number of electrical vehicles(EVs)randomly connected to a microgrid,the paper proposes control strategy for the microgrid based on distributed model predictive control(MPC).Firstly,a feasible time model of EVs participating in demand response is established to describe EV charging and discharging events,and the possibility of EVs participating in the demand response at each timestamp is evaluated.Secondly,the optimal output plan of each EV is obtained based on MPC,and the carbon quota mechanism is combined with real-time electricity price to guide EV users to actively participate in the demand response.Finally,an example analysis shows that the proposed control strategy for the microgrid can effectively deal with the volatility of the microgrid caused by EV randomness,and can adjust the charge/discharge plan according to the real-time updated status information,ensuring the stable and economic operation of the microgrid.

关 键 词：MPC EV 碳配额 微电网 

分 类 号：TM732[电气工程—电力系统及自动化]