Estimating and Controlling the Renewable Microgrid States using IoT Infrastructure
This paper considers the optimal filter design issue for microgrid state estimation and stabilisation under packet loss conditions. The considered internet of things (IoT) technologies collect system state information from sensors and send control messages to actuators where they are connected over a lossy communication network. From signal processing point of view, this paper develops an optimal state estimation algorithm using the mean squared error principle. Then a feedback controller is designed under the condition of packet dropouts in the communication network. Finally, the convergence of the developed algorithm is numerically shown. The performance of the proposed schemes are demonstrated using the renewable microgrid.
M. M. Rana et al., "Estimating and Controlling the Renewable Microgrid States using IoT Infrastructure," Asian Journal of Control, vol. 21, no. 4, pp. 2105 - 2113, Asian Journal of Control, Oct 2019.
The definitive version is available at https://doi.org/10.1002/asjc.2214
Electrical and Computer Engineering
Keywords and Phrases
Controller Under Lossy Channel; Dynamic State Estimation; Internet Of Things; Microgrid; Packet Dropouts
International Standard Serial Number (ISSN)
Article - Journal
© 2019 Asian Journal of Control, All rights reserved.
08 Oct 2019