IoT-based state estimation for microgrids
Rana, Md M., Xiang, Wei, and Wang, Eric (2018) IoT-based state estimation for microgrids. IEEE Internet of Things Journal, 5 (2). pp. 1345-1346.
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Abstract
In contrast to traditional centralized estimation methods, this letter proposes a distributed dynamic state estimation method for microgrids incorporating distributed energy resources. Specifically, distributed filter structure is designed in an interconnected way, where packet losses obviously occur between them. Then the error function is written in a compact form using the matrix property of the Kronecker product. Afterwards, it can be transformed into a linear matrix inequality. Finally, the local and neighboring gains for the distributed estimator are effectively computed after solving the convex optimization problem. Simulation result shows that the proposed method can well estimate the system state within 10 iterations.
| Item ID: | 53667 |
|---|---|
| Item Type: | Article (Research - C1) |
| ISSN: | 2327-4662 |
| Keywords: | distributed energy resources (DERs), distributed state estimation, Internet of Things (IoT), microgrids, packet losses, semidefinite programming (SDP) |
| Copyright Information: | Copyright © 2018 IEEE. |
| Date Deposited: | 16 May 2018 07:48 |
| FoR Codes: | 40 ENGINEERING > 4008 Electrical engineering > 400805 Electrical energy transmission, networks and systems @ 100% |
| SEO Codes: | 85 ENERGY > 8506 Energy Storage, Distribution and Supply > 850604 Energy Transmission and Distribution (excl. Hydrogen) @ 100% |
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