首页|基于分布式模型预测控制的主动配电网区域协同控制

基于分布式模型预测控制的主动配电网区域协同控制

Area Coordinate Control of Active Distribution Network Based on Distributed Model Predictive Control

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为提升主动配电网的控制效果与性能,基于主动配电网馈线控制误差理论,提出了适用于主动配电网区域协同控制的分布式模型预测控制方法.首先建立了包含自治区域内间歇式能源、负荷、储能等单元的区域控制模型,以考虑其未来短期内的出力变化等预测信息;提出了分布式预测控制方法,解决区域间优化目标间的耦合问题,实现多个区域间的协同控制,通过滚动优化与反馈校正,实现基于未来预测时间段内的整体最优控制,从而保证整条馈线的全局最优.最后通过算例仿真,并与传统的PI控制进行对比分析,验证了本文控制方法的优越性.
In order to enhance the effect and performance of the active distribution network (AND) control,based on ADN Feeder Control Error theory,a distributed model predictive control method for ADN area coordinate control is proposed.Firstly,an autonomous area control model containing intermittent energy resources,load and storage units within the area are established to consider the shortterm trend of power output and other forecasting information.Then distributed control method is proposed to solve the coupling issues of optimization targets among different areas,and realize the coordinate control among different areas.Online rolling optimization and real-time measurement feedback are used to achieve the overall optimal control with future forecasts,therefore the global optimization of the whole feeder is assured.Calculation simulation and comparison of the proposed control method with the traditional PI control verify the effectiveness of the proposed method.

active distribution network(ADN)feeder control errorarea coordinate controldistributed model predictive control

林威、刘东、李庆生、丁健、卞苏东

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上海交通大学电气工程系,上海200240

贵州电网有限责任公司电网规划研究中心,贵阳550003

主动配电网 馈线控制误差 区域协同控制 分布式模型预测控制

国家高技术研究发展计划(863计划)项目

2014AA051902

2016

南方电网技术
南方电网科学研究所有限责任公司

南方电网技术

CSTPCD北大核心
影响因子:1.42
ISSN:1674-0629
年,卷(期):2016.10(12)
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