DOI:10.1007/s40565-014-0078-7 |
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A mixed-integer linear programming approach for robust state estimation |
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Page view: 85
Net amount: 1128 |
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Author:
Yanbo CHEN1,Jin MA2
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Author Affiliation:
1. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, 102206, China
2. School of Electrical and Information Engineering, University of Sydney, Sydney, NSW, 2006, Australia;1.State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, 102206, China;2.School of Electrical and Information Engineering, University of Sydney, Sydney, NSW, 2006, Australia
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Foundation: |
the NationalHigh Technology Research and Development Program (2012AA050208), the National Natural Science Foundation of China(51407069) and the Fundamental Research Funds for the Central Universities (2014QN02). |
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Abstract: |
In this paper, a mixed integer linear programming(MILP) formulation for robust state estimation (RSE) is proposed. By using the exactly linea rized measurement equations instead of the original nonlinear o nes, the existing mixed integer nonlinear programming formulation for RSE is converted to a MILP problem. The proposed approach not only guarantees to find the global optimum, but also does not have convergence problems. Simulation results on a rudimentary 3-bus system and several IEEE standard test sy stems fully illustrate that the proposed methodology is effective with high efficiency. |
Keywords: |
State estimation, Robustness, Leverage point,Mathematical programming, Mixed integer linearprogramming (MILP) |
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Online Time:2015/05/22 |
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