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Flux de puissance optimal×Estimation d'état des réseaux électriques×
DomaineGénie électriqueGénie électrique
FamilleProcess / pipelineProcess / pipeline
Année d'origine19621970
Auteur d'origineJean CarpentierFred Schweppe
TypeNonlinear constrained optimization for power system operationReal-time state estimation using measurements and physical models
Source fondatriceCarpentier, J. (1962). Contribution à l'étude du dispatching économique. Bulletin de la Société Française des Électriciens, 8(3), 431-447. link ↗Schweppe, 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 ↗
AliasOPF, Economic Dispatch with ConstraintsPSSE, WLS State Estimation, Power Flow State Estimation
Apparentées33
RésuméOptimal 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.Power 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.
ScholarGateJeu de données
  1. v1
  2. 3 Sources
  3. PUBLISHED
  1. v1
  2. 3 Sources
  3. PUBLISHED

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