Source-load-storage Distributed Coordinative Optimization of ADN (Part II): Consensus Algorithm Considering Non-ideal Telemetering Network

被引：0
|
作者：
Xu X. [1 ]
Song Y. [1 ]
Yao L. [2 ]
Yan Z. [1 ]
机构：
[1] Key Laboratory of Control of Power Transmission and Transformation, Ministry of Education (Department of Electrical Engineering, Shanghai Jiao Tong University), Minhang District, Shanghai
[2] China Electric Power Research Institute, Haidian District, Beijing
来源：
| 2018年 / Chinese Society for Electrical Engineering卷 / 38期
关键词：
Active distribution network (ADN); Consensus algorithm; Distributed coordination; High penetration of renewable energy; Non-ideal communication network;
D O I：
10.13334/j.0258-8013.pcsee.171477
中图分类号：
学科分类号：
摘要：
Aiming at the completely distributed control mode and the source-load-storage coordinative optimization model of active distribution network (ADN), a distributed robust consensus algorithm was proposed. The incremental costs or profits of the distributed generators and loads converge to unanimous state, thus the cost of ADN was minimized. In this method, non-ideal communication network was considered. To cope with the problem of measurement errors, noises and transmission delays, the consensus gain function was introduced to help the algorithm reach mean square consensus. Meanwhile, the adjustment term was introduced to meet the equality constraints. By setting the node weight coefficient matrix of consensus algorithm, the convergence speed improved. Finally, simulation results show the effectiveness of the proposed method. © 2018 Chin. Soc. for Elec. Eng.
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页码：3244 / 3254
页数：10
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