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Estimation d'état des réseaux électriques×Flux de puissance optimal×
DomaineGénie électriqueGénie électrique
FamilleProcess / pipelineProcess / pipeline
Année d'origine19701962
Auteur d'origineFred SchweppeJean Carpentier
TypeReal-time state estimation using measurements and physical modelsNonlinear constrained optimization for power system operation
Source fondatriceSchweppe, F. C., & Wildes, J. (1970). Power system static-state estimation: III system implementation. IEEE Transactions on Power Apparatus and Systems, 89(1), 120-125. link ↗Carpentier, J. (1962). Contribution à l'étude du dispatching économique. Bulletin de la Société Française des Électriciens, 8(3), 431-447. link ↗
AliasPSSE, WLS State Estimation, Power Flow State EstimationOPF, Economic Dispatch with Constraints
Apparentées33
RésuméPower System State Estimation (PSSE) is a real-time algorithm that estimates the voltage and phase angle at every bus in a power grid from a set of noisy, redundant measurements. Introduced by Schweppe in 1970, it combines measurements (power flows, voltage magnitudes) with the physical power flow model to produce the most likely system state. State estimation is the foundation of modern grid control centers, providing operators with an accurate digital representation of the actual network.Optimal Power Flow (OPF) is a fundamental optimization framework for computing the most economical and secure operating point of an electrical power system. Introduced by Jean Carpentier in 1962, OPF minimizes operational costs (fuel, losses, or other expenses) while satisfying physical and operational constraints. Modern electric grids depend on OPF for real-time economic dispatch, security analysis, and planning, making it one of the most important problems in power systems engineering.
ScholarGateJeu de données
  1. v1
  2. 3 Sources
  3. PUBLISHED
  1. v1
  2. 3 Sources
  3. PUBLISHED

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ScholarGateComparer des méthodes: Power System State Estimation · Optimal Power Flow. Consulté le 2026-06-18 sur https://scholargate.app/fr/compare