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Open AccessArticle

Distributed State Estimation of Multi-region Power System based on Consensus Theory

1
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Changping District, Beijing 102206, China
2
State Grid Jiangsu Electric Power Co., Ltd., Nanjing 210024, China
3
China State Grid Zhenjiang Power Supply Company, Zhenjiang 212000, China
*
Author to whom correspondence should be addressed.
Energies 2019, 12(5), 900; https://doi.org/10.3390/en12050900
Received: 23 January 2019 / Revised: 4 March 2019 / Accepted: 4 March 2019 / Published: 8 March 2019
(This article belongs to the Special Issue Intelligent Decentralized Energy Management in Microgrids )
Effective state estimation is critical to the security operation of power systems. With the rapid expansion of interconnected power grids, there are limitations of conventional centralized state estimation methods in terms of heavy and unbalanced communication and computation burdens for the control center. To address these limitations, this paper presents a multi-area state estimation model and afterwards proposes a consensus theory based distributed state estimation solution method. Firstly, considering the nonlinearity of state estimation, the original power system is divided into several non-overlapped subsystems. Correspondingly, the Lagrange multiplier method is adopted to decouple the state estimation equations into a multi-area state estimation model. Secondly, a fully distributed state estimation method based on the consensus algorithm is designed to solve the proposed model. The solution method does not need a centralized coordination system operator, but only requires a simple communication network for exchanging the limited data of boundary state variables and consensus variables among adjacent regions, thus it is quite flexible in terms of communication and computation for state estimation. In the end, the proposed method is tested by the IEEE 14-bus system and the IEEE 118-bus system, and the simulation results verify that the proposed multi-area state estimation model and the distributed solution method are effective for the state estimation of multi-area interconnected power systems. View Full-Text
Keywords: consensus algorithm; distributed state estimation; multi-area; power systems consensus algorithm; distributed state estimation; multi-area; power systems
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Xia, S.; Zhang, Q.; Jing, J.; Ding, Z.; Yu, J.; Chen, B.; Wu, H. Distributed State Estimation of Multi-region Power System based on Consensus Theory. Energies 2019, 12, 900.

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