A Distributed Event-Triggered Control Strategy for DC Microgrids Based on Publish-Subscribe Model Over Industrial Wireless Sensor Networks
A Distributed Event-Triggered Control Strategy for DC Microgrids Based on Publish-Subscribe Model Over Industrial Wireless Sensor Networks
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DOI：
10.1109/tsg.2018.2856893
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发表时间：
2019-06
影响因子：
9.6
通讯作者：
S. A. Alavi;K. Mehran;Y. Hao;A. Rahimian;Hamed Mirsaeedi;V. Vahidinasab
中科院分区：
文献类型：
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作者：
S. A. Alavi;K. Mehran;Y. Hao;A. Rahimian;Hamed Mirsaeedi;V. Vahidinasab
本文提出了一个完整的设计，分析和性能评估的一种新的分布式事件触发控制和估计策略的直流微电网。这项工作的主要目标是有效地稳定电网电压，并进一步平衡能量存储系统的能量水平。利用本地安装的分布式控制器，以减少所安装的传感器的发送数据包的数量和电池的使用，基于所提出的事件触发的通信方案。此外，为了减少网络流量，采用最优观测器，它利用修改的卡尔曼一致性滤波器，通过分布式传感器估计直流微电网的状态。此外，为了有效地提供一个智能的数据交换机制，建议事件触发控制器，订阅通信模型被用来建立一个分布式的控制基础设施，在工业无线传感器网络。所提出的控制和估计策略的性能通过可再生能源组成的直流微电网的仿真进行了验证。研究结果证实了智能电网中先进的工业网络架构的最佳利用策略的适当性。
This paper presents a complete design, analysis, and performance evaluation of a novel distributed event-triggered control and estimation strategy for dc microgrids. The primary objective of this work is to efficiently stabilize the grid voltage, and to further balance the energy level of the energy storage systems. The locally-installed distributed controllers are utilized to reduce the number of transmitted packets and battery usage of the installed sensors, based on a proposed event-triggered communication scheme. Also, to reduce the network traffic, an optimal observer is employed which utilizes a modified Kalman consensus filter to estimate the state of the dc microgrid via the distributed sensors. Furthermore, in order to effectively provide an intelligent data exchange mechanism for the proposed event-triggered controller, the publish-subscribe communication model is employed to setup a distributed control infrastructure in industrial wireless sensor networks. The performance of the proposed control and estimation strategy is validated via the simulations of a dc microgrid composed of renewable energy sources. The results confirm the appropriateness of the implemented strategy for the optimal utilization of the advanced industrial network architectures in the smart grids.