ScholarGate
Pembantu

Bandingkan kaedah

Semak kaedah pilihan anda secara bersebelahan; baris yang berbeza akan diserlahkan.

Anggaran Keadaan Sistem Kuasa×Aliran Kuasa Newton-Raphson×
BidangKejuruteraan ElektrikKejuruteraan Elektrik
KeluargaProcess / pipelineProcess / pipeline
Tahun asal19701967
PengasasFred SchweppeWilliam F. Tinney, Charles E. Hart
JenisReal-time state estimation using measurements and physical modelsIterative solution algorithm for power system steady-state analysis
Sumber perintisSchweppe, 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 ↗Tinney, W. F., & Hart, C. E. (1967). Power flow solution by Newton's method. IEEE Transactions on Power Apparatus and Systems, 86(11), 1449-1460. DOI ↗
AliasPSSE, WLS State Estimation, Power Flow State EstimationNR Power Flow, Newton-Raphson Load Flow
Berkaitan33
RingkasanPower 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.The Newton-Raphson method is a powerful iterative technique for solving the nonlinear power flow equations in electrical power systems. Introduced by Tinney and Hart in 1967, it became the industry standard for computing steady-state voltage and power distributions across transmission networks. The method uses Jacobian matrix formulations to rapidly converge to the true operating point.
ScholarGateSet data
  1. v1
  2. 3 Sumber
  3. PUBLISHED
  1. v1
  2. 3 Sumber
  3. PUBLISHED

Pergi ke carian Muat turun slaid

ScholarGateBandingkan kaedah: Power System State Estimation · Newton-Raphson Power Flow. Dicapai 2026-06-18 daripada https://scholargate.app/ms/compare