文章摘要
徐豪,张孝顺,余涛.非理想通信网络条件下的经济调度鲁棒协同一致性算法[J].电力系统自动化,2016,40(14):15-24. DOI: 10.7500/AEPS20160112003.
XU Hao,ZHANG Xiaoshun,YU Tao.Robust Collaborative Consensus Algorithm for Economic Dispatch Under Non-ideal Communication Network[J].Automation of Electric Power Systems,2016,40(14):15-24. DOI: 10.7500/AEPS20160112003.
非理想通信网络条件下的经济调度鲁棒协同一致性算法
Robust Collaborative Consensus Algorithm for Economic Dispatch Under Non-ideal Communication Network
DOI:10.7500/AEPS20160112003
关键词: 鲁棒协同一致性算法  噪声时延  时变拓扑  虚拟一致性变量  一致性增益函数
KeyWords: robust collaborative consensus algorithm  delays and noises  dynamically switching topologies  virtual consensus variable  consensus gain function
上网日期:2016-05-16
基金项目:国家重点基础研究发展计划(973计划)资助项目(2013CB228205);国家自然科学基金资助项目(51477055)
作者单位E-mail
徐豪 华南理工大学电力学院, 广东省广州市 510640  
张孝顺 华南理工大学电力学院, 广东省广州市 510640 xszhang1990@sina.cn 
余涛 华南理工大学电力学院, 广东省广州市 510640  
摘要:
      考虑到实际通信网络中不可避免受到传输时延、噪声以及时变拓扑等因素的影响,提出一种计及非理想通信环境的经济调度鲁棒协同一致性优化算法。通过引入虚拟一致性变量,使得智能体之间的通信拓扑更加灵活,方便机组的即插即用,从而解决了时变拓扑下的一致性协同。在一致性计算中引入了一致性增益函数,有效抑制了传输噪声和时延。IEEE 39和118节点算例仿真表明:所提算法适用于非理想通信网络下的一致性经济调度,在保证收敛性的同时,可以获得较为满意的优化结果。
Abstract:
      Considering the influence of transmission delay, noises and dynamically switching topologies in actual communication networks, an robust collaborative consensus algorithm for economic dispatch of non-ideal communication environment is presented. By introducing a virtual consensus variable, communications among smart units become more flexible as to enhance plug and play adaptability and consensus collaboration under dynamically switching topologies. With the assistance of a consensus gain function, the weakness of consensus-based algorithm to delays and noises in communication networks is eliminated. Finally, simulation results obtained from IEEE 39-bus and 118-bus test networks show that the proposed algorithm is suitable for the consensus economic dispatch of non-ideal communication network and satisfied optimization results can be obtained while the astringency is ensured. This work is supported by National Basic Research Program of China(973 Program)(No. 2013CB228205)and National Natural Science Foundation of China(No. 51477055).
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