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- W1995164069 abstract "Abstract This paper presents a nonlinear programming approach to the power system state estimation problem. The proposed technique combines the estimation, detection and identification steps applied to the classical weighted least square method and rejects the corrupted data while estimating the state of the system. The nonlinear programming approach is compared with least square and linear programming algorithms and the results are presented. This technique is very reliable, efficient, and does not require separate testing of the system observability." @default.
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- W1995164069 date "1987-02-01" @default.
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- W1995164069 title "Application of nonlinear programming in power system state estimation" @default.
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- W1995164069 doi "https://doi.org/10.1016/0378-7796(87)90059-9" @default.
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