Journal
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY
Volume 2, Issue 4, Pages 366-373Publisher
STATE GRID ELECTRIC POWER RESEARCH INST
DOI: 10.1007/s40565-014-0078-7
Keywords
State estimation; Robustness; Leverage point; Mathematical programming; Mixed integer linear programming (MILP)
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Funding
- National High Technology Research and Development Program [2012AA050208]
- National Natural Science Foundation of China [51407069]
- Fundamental Research Funds for the Central Universities [2014QN02]
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In this paper, a mixed integer linear programming (MILP) formulation for robust state estimation (RSE) is proposed. By using the exactly linearized measurement equations instead of the original nonlinear ones, the existingmixed 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 systems fully illustrate that the proposed methodology is effective with high efficiency.
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