DOI:10.35833/MPCE.2020.000377 |
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L p Quasi Norm State Estimator for Power Systems |
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Page view: 385
Net amount: 537 |
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Author:
Zhongliang Lyu1,Hua Wei1,Xiaoqing Bai1,Daiyu Xie2,Le Zhang1,Peijie Li1
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Author Affiliation:
1.the School of Electrical Engineering, Guangxi University, Nanning, China, and they are also with the Guangxi Key Laboratory of Power System Optimization and Energy Technology, Guangxi University, Nanning, China;2.he Power Dispatching Control Center of Guangxi Power Grid, Nanning, China
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Foundation: |
This work was supported by the National Natural Science Foundation of China (No. 51967002). |
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Abstract: |
This paper proposes an Lp (0<p<1) quasi norm state estimator for power system static state estimation. Compared with the existing L1 and L2 norm estimators, the proposed estimator can suppress the bad data more effectively. The robustness of the proposed estimator is discussed, and an analysis shows that its ability to suppress bad data increases as p decreases. Moreover, an algorithm is suggested to solve the non-convex state estimation problem. By introducing a relaxation factor in the mathematical model of the proposed estimator, the algorithm can prevent the solution from converging to a local optimum as much as possible. Finally, simulations on a 3-bus DC system, the IEEE 14-bus and IEEE 300-bus systems as well as a 1204-bus provincial system verify the high computation efficiency and robustness of the proposed estimator. |
Keywords: |
Power system bad data ; quasi norm estimator ; robustness ; state estimation |
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Received:June 15, 2020
Online Time:2022/07/15 |
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