Solving state estimation in power systems by an interior point method

Abstract A linear programming formulation is employed to solve the static state estimation problem in power systems using the primal–dual predictor–corrector algorithm. This has been selected because it has emerged as an efficient algorithm that makes the direction search toward the optimal point easy. The technique was applied successfully into several power systems when simultaneous gross errors were considered. Results are presented showing that this algorithm exhibits a good performance under critical measurement errors.

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