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Sensors 2017, 17(10), 2310; doi:10.3390/s17102310

Distributed State Estimation Using a Modified Partitioned Moving Horizon Strategy for Power Systems

School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore
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Received: 24 August 2017 / Revised: 8 October 2017 / Accepted: 9 October 2017 / Published: 11 October 2017
(This article belongs to the Section Physical Sensors)
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Abstract

In this paper, a distributed state estimation method based on moving horizon estimation (MHE) is proposed for the large-scale power system state estimation. The proposed method partitions the power systems into several local areas with non-overlapping states. Unlike the centralized approach where all measurements are sent to a processing center, the proposed method distributes the state estimation task to the local processing centers where local measurements are collected. Inspired by the partitioned moving horizon estimation (PMHE) algorithm, each local area solves a smaller optimization problem to estimate its own local states by using local measurements and estimated results from its neighboring areas. In contrast with PMHE, the error from the process model is ignored in our method. The proposed modified PMHE (mPMHE) approach can also take constraints on states into account during the optimization process such that the influence of the outliers can be further mitigated. Simulation results on the IEEE 14-bus and 118-bus systems verify that our method achieves comparable state estimation accuracy but with a significant reduction in the overall computation load. View Full-Text
Keywords: distributed state estimation; moving horizon estimation; wide-area monitoring; sensor measurement; power systems; outliers distributed state estimation; moving horizon estimation; wide-area monitoring; sensor measurement; power systems; outliers
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Chen, T.; Foo, Y.S.E.; Ling, K.; Chen, X. Distributed State Estimation Using a Modified Partitioned Moving Horizon Strategy for Power Systems. Sensors 2017, 17, 2310.

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