- Title
- A distributed MAP approach to dynamic state estimation with applications in power networks
- Creator
- Sun, Yibing; Fu, Minyue; Wang, Bingchang; Zhang, Huangshui
- Relation
- 2015 European Control Conference (ECC). Proceedings of the 2015 European Control Conference (Linz, Austria 15-17 July, 2015) p. 235-240
- Publisher Link
- http://dx.doi.org/10.1109/ECC.2015.7330550
- Publisher
- Institute of Electrical and Electronic Engineers (IEEE)
- Resource Type
- conference paper
- Date
- 2015
- Description
- This paper studies a state estimation problem for a networked dynamic system characterized by a communication graph. A new distributed state estimation method is based on a distributed MAP (maximum a posteriori) estimation algorithm for each node to update its local state. This distributed method is applied to the state estimation problem for a large power network and illustrated using the IEEE 118-bus system. It is shown that the performance of this method is close to that given by a centralized Kalman filtering approach and much better than that given by a local Kalman filtering approach, yet the computational complexity and communication load of the proposed method are low for each node, making the method scalable for large-sized networked systems.
- Subject
- power networks; Kalman filtering approach; distributed MAP estimation algorithm
- Identifier
- http://hdl.handle.net/1959.13/1315450
- Identifier
- uon:22944
- Identifier
- ISBN:9781467371605
- Language
- eng
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