Optimal Observer Synthesis for Microgrids With Adaptive Send-on-Delta Sampling Over IoT Communication Networks
Optimal Observer Synthesis for Microgrids With Adaptive Send-on-Delta Sampling Over IoT Communication Networks
复制标题
物联网通信网络上基于自适应增量发送采样的微电网最优观测器综合
DOI：
10.1109/tie.2020.3034853
复制
发表时间：
2020-11
影响因子：
7.7
通讯作者：
S. A. Alavi;K. Mehran;Y. Hao
中科院分区：
文献类型：
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作者：
S. A. Alavi;K. Mehran;Y. Hao
由于系统动力学的复杂性和通信网络的局限性，状态估计是微电网的主要挑战之一。在这方面，本文介绍了一种新的实时基于事件的最优状态估计器，它使用了无线传感器网络的自适应发送增量（SoD）非均匀采样方法。所提出的估计器需要较低的通信带宽，并招致较低的计算资源成本。SoD采样器的阈值是基于平均通信链路延迟自适应的，该平均通信链路延迟是使用基于事件的平均共识协议以分布式形式计算的。SoD非均匀信号采样方法减少了无线通信网络上的流量，这是由于仅在测量中存在电平交叉时才发送事件。状态估计器的结构扩展到传统的卡尔曼滤波器的顶部与接收到的事件的融合的额外阶段。误差校正阶段通过使用凸集投影算法对信号进行最优重构来进一步改进。最后，基于LoRaWAN和IEEE 802.11（WiFi）协议构建了物联网实验平台，并以IEEE 5 Bus微电网为例，分析了状态估计器的性能。
State estimation is one of the main challenges in the microgrids, due to the complexity of the system dynamics and the limitations of the communication network. In this regard, a novel real-time event-based optimal state estimator is introduced in this article, which uses the proposed adaptive send-on-delta (SoD) nonuniform sampling method over wireless sensors networks. The proposed estimator requires low communication bandwidth and incurs lower computational resource cost. The threshold for the SoD sampler is made adaptive based on the average communication link delay, which is computed in a distributed form using the event-based average consensus protocol. The SoD nonuniform signal sampling approach reduces the traffic over the wireless communication network due to the events transmitted only when there is a level crossing in the measurements. The state estimator structure is extended on top of the traditional Kalman filter with the additional stages for the fusion of the received events. The error correction stage is further improved by optimal reconstruction of the signals using projection onto convex sets algorithm. Finally, an Internet of things (IoT) experimental platform based on LoRaWAN and IEEE 802.11 (WiFi) protocols are developed to analyze the performance of the state estimator for the IEEE 5 Bus case study microgrid.