| 引用本文: | 何德峰,胡爽,穆建彬.基于轮询协议的可再生能源微网分布式块滚动时域估计[J].控制理论与应用,2026,43(1):129~138.[点击复制] |
| HE De-feng,HU Shuang,MU Jian-bin.Round-Robin protocol based distributed blocking moving horizon estimation of renewable energy microgrids[J].Control Theory & Applications,2026,43(1):129~138.[点击复制] |
|
| 基于轮询协议的可再生能源微网分布式块滚动时域估计 |
| Round-Robin protocol based distributed blocking moving horizon estimation of renewable energy microgrids |
| 摘要点击 175 全文点击 23 投稿时间：2023-09-22 修订日期：2025-07-27 |
| 查看全文 查看/发表评论 下载PDF阅读器 HTML |
| DOI编号 10.7641/CTA.2024.30643 |
| 2026,43(1):129-138 |
| 中文关键词 可再生能源微网 滚动时域估计 分布式估计 状态估计 轮询协议 扰动块 |
| 英文关键词 renewable energy microgrids moving horizon estimation distributed estimation state estimation Round Robin protocol disturbance blocks |
| 基金项目 中央引导地方科技发展资金项目(2023ZY1045)资助. |
|
| 中文摘要 |
| 针对可再生能源微网系统状态监测过程中通信资源有限的问题,本文提出了一种基于轮询协议的分布式
块滚动时域估计算法.在分布式滚动时域估计的基础上,通过引入轮询协议减轻传感器网络的通信负担.在该协议
下, 每个传感器节点依次且周期性地传送其测量值分量,避免了数据拥塞且充分利用了有限带宽资源.再应用块概
念设计估计窗口内的扰动序列,减少了优化变量个数,从而降低了在线计算量.通过分析算法在最大分块长度下的
可行性与收敛性,建立了保证算法优化问题存在等价解的充分条件,并把结果推广至扰动序列任意分块的情况.仿
真结果表明所提算法能够有效估计可再生能源微网系统状态. |
| 英文摘要 |
| Considering the limited communication resources in the state monitoring process of renewable energy mi
crogrid system, a distributed blocking moving horizon estimation algorithm based on Round-Robin protocol is proposed.
Building upon distributed moving horizon estimation, the Round-Robin protocol is introduced to reduce the communication
burden of the sensor network. Under this protocol, each sensor node transmits its measurement component successively
and periodically, avoiding data congestion and fully utilizing the limited bandwidth resources. Moreover, the disturbance
sequence in the estimation window is designed using the block concept, which reduces the number of optimization variables
and the amount of online computation. By analyzing the feasibility and convergence of the algorithm under the maximum
block length, the sufficient conditions are established to guarantee the existence of an equivalent solution to the optimization
problem of the algorithm, and the results are extended to the case of arbitrary block of the disturbance sequence. Simulation
results show that the proposed algorithm can estimate the states of renewable energy microgrid system effectively. |
|
|
|
|
|