摘要
本文提出了一种基于事件触发的微电网经济分配问题(economic dispatch problem, EDP)一致性算法.该方案基于多智能体的一致性,每个智能体只需要获取其本地成本参数、本地负荷和邻域信息.通过每个智能体参与邻域信息交换和本地计算,经济分配经过迭代后收敛到最优值.进一步考虑加入事件触发来减少智能体计算以及与邻居通信的频率.这样可以节约通信带宽和能源,符合经济分配的经济性要求.仿真实验进一步说明了该方案的有效性.
This study aims to propose an event-trigger （EDP） that is encountered in microgrids. The proposed consensus approach for the economic dispatch problem scheme was based on the consensus algorithm; wherein each agent participated in neighborhood information exchange and local computation. Then; the scheme was converged to an optimal dispatch after iteration. Each agent must sense only its local cost parameters; local load; and neighborhood communication. Furthermore; event-triggered feedback was considered to reduce the frequency of the computation and communication of agents with their neighbors. Communication bandwidth and energy can be saved to meet the goal of the EDP. Several simulation cases were presented to illustrate the effectiveness of the proposed scheme.
作者
宋超
禹梅
谭文
Chao SONG;Mei YU;Wen TAN(School of Control and Computer Engineering,North China Electric Power University,Beijing 102206,China)
出处
《中国科学：信息科学》
CSCD
北大核心
2018年第10期1395-1408,共14页
Scientia Sinica(Informationis)
基金
北京市自然科学基金(批准号:4122075)
国家自然科学基金(批准号:61573138)
中央高校基础研究基金资助项目
关键词
一致性算法
事件触发
经济分配问题
多智能体系统
微电网
consensus algorithm
event-triggered control
economic dispatch problem
multi-agent systems
microgrid
