Belief Propagation and H-Infinity Controller for Microgrid State Estimation and Stabilization using Internet of Things Technologies


Due to the global warming and increasing of green house gas emissions, the renewable distributed energy resources (DERs) are going to be integrated into the smart grid. As the grid can spread the intelligent energy management system to the long-distance remote areas, thus it requires a real-time dynamic state estimation and stabilization algorithm for monitoring and maintaining stability of these intermittent DERs. This paper proposes a belief propagation algorithm and H-infinity controller for system state estimation and stabilization using the internet of things (IoT) communication network. Basically, the IoT based smart sensors are deployed to gather the measurement information where the binary phase shift-keying are used for modulation. The system state and it error covariance are propagated between root and leave nodes of the considered Baysian tree network. Using forward and backward propagation of the these variables, an accurate state estimation is obtained. Using Parseval's theorem, bounded real lemma and Schur's complement, the discrete-time H-infinity controller is designed. The numerical simulation results demonstrates that the algorithms can effectively estimate and stabilize the microgrid states.

Meeting Name

2019 IEEE Innovative Smart Grid Technologies Asia, ISGT Asia (2019: May 21-24, Chengdu, China)


Electrical and Computer Engineering

Keywords and Phrases

Belief Propagation; Distributed Energy Resources; Dynamic State Estimation; H Controller ∞; Internet Of Things (IoT); Microgrid

International Standard Book Number (ISBN)


Document Type

Article - Conference proceedings

Document Version


File Type





© 2019 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

24 Oct 2019