1982
DOI: 10.1109/mper.1982.5519418
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A Fast and Reliable State Estimation Algorithm for AEP's New Control Center

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Cited by 19 publications
(26 citation statements)
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“…Two levels of global redundancy were specified for each measurement system: normal level and low level. Measurement errors were simulated adding normally distributed random numbers to loadflow results with parameters defined as in [20]. The network decomposition followed natural boundaries, identified by examining the one-line diagram of the test systems.…”
Section: B Test Casesmentioning
confidence: 99%
“…Two levels of global redundancy were specified for each measurement system: normal level and low level. Measurement errors were simulated adding normally distributed random numbers to loadflow results with parameters defined as in [20]. The network decomposition followed natural boundaries, identified by examining the one-line diagram of the test systems.…”
Section: B Test Casesmentioning
confidence: 99%
“…The estimate is then obtained by solving a sequence of LP problems. It is well known that this estimator is capable of automatically rejecting bad data, as long as the bad measurements are not leverage points, and hence found to be more robust than a WLS estimator [4].The need for an efficient algorithm that occupies minimum memory and requires lower computation time has led to the development of fast decoupled state estimation (FDSE) [5][6][7][8][9][10] The line flow and bus voltage magnitude load flow model presented in (11) has been used in this paper to develop a similar SE model which has been solved using WLS technique by applying PSO algorithm. This approach tends to avoid most of the factorization related matrix manipulation problems mentioned so far.…”
Section: Introductionmentioning
confidence: 99%
“…The pioneering work is due to Schweppe et al [5][6][7]. The first practical implementation of state estimator is reported in [8]. The model for state estimation problem is well established and diverse solutions are also well known.…”
Section: Introductionmentioning
confidence: 99%