Theory behind GridCal

GridCal has a great deal of numerical algorithms with little innovations that make this program possible. The featured sections try to describe these innovations such that you can extend on them.

• The assets manager: from objects to matrices
  • Structure
    • MultiCircuit
    • NumericalCircuit
    • CalculationInputs
• Universal Branch Model
  • Temperature correction
  • Embedded Tap changer
• Transformer definition from SC test values
  • Inverse definition of SC values from π model
• Power Flow
  • Newton-Raphson
    • Canonical Newton-Raphson
    • Jacobian in power equations
    • Newton-Raphson-Iwamoto
    • Newton-Raphson Line Search
    • Newton-Raphson in Current Equations
  • Levenberg-Marquardt
  • Fast Decoupled
    • Finding and
    • The fast-decoupled algorithm
  • DC approximation
  • Linear AC Power Flow
  • Holomorphic Embedding
    • Concepts
    • Formulation
    • Implementation
    • Padè approximation
  • Post Power Flow (Loading and Losses)
  • Continuation power flow
    • Predictor
    • Corrector
  • Distributed Slack
• Optimal power flow
  • Linear optimal power flow
    • Objective function
    • Power injections
    • Nodal power balance
    • Branch loading restriction
  • Linear DC optimal power flow time series
    • Objective function
    • Power injections
    • Nodal power balance
    • Branch loading restriction
    • Battery discharge restrictions
  • AC Linear optimal power flow time series
    • Objective function
    • Power injections
    • Nodal power balance
    • Branch loading restriction
    • Battery discharge restrictions
• Short Circuit
  • 3-Phase Short Circuit
    • Multiple bus failures
• PTDF (Power Transmission Distribution Factors)
  • PTDF (Power Transmission Distribution Factors)
  • VTDF (Voltage Transmission Distribution Factors)
  • PTDF and VTDF times series