摘要
风电场集群的协同运行通常采用集中式控制,无法实现即插即用,且高度依赖集控中心,可靠性低。为此,提出了一种基于多智能体算法的风电场集群的分布式协同控制策略。在尽量降低弃风的基础上,以综合运行效益最高为优化目标建立风场群的协同优化模型,采用基于一致性的分布式控制算法对模型求解,实现了风场群总功率在单个风电场间快速、公平、自治分配。实验结果表明,所提策略实现了风电场集群在通信故障、拓扑结构多变等情景下的有效和鲁棒运行。
The cooperative operation of wind farm clusters usually adopts centralized control,which cannot realize plug-and-play and is highly dependent on the centralized control center with low reliability.To this end,a distributed cooperative control strategy for wind farm clusters based on a multi-agent algorithm is proposed.On the basis of minimizing wind abandonment,a collaborative optimization model of the wind farm cluster is established with the highest comprehensive operational efficiency as the optimization objective,and the model is solved by a consistency-based distributed control algorithm to achieve fast,fair and autonomous distribution of the total power of the wind farm cluster among individual wind farms.Experimental results show that the proposed strategy achieves effective and robust operation of wind farm clusters under scenarios such as communication failure and topology variability.
作者
白雄雄
BAI Xiong xiong(China Railhway Construction Electrification Bureau Group Norh Engineering Co.,Ltd.,Taiyuan 030024,China)
出处
《电力电子技术》
CSCD
北大核心
2022年第10期45-48,共4页
Power Electronics
关键词
风电场集群
集中式控制
多智能体算法
wind farm cluster
centralized control
multi-agent algorithm
