State Estimation

State estimation is a method for determining the most likely state of a network based on measured data and network topology. The State Estimation in PowerFactory is available for both balanced and unbalanced networks and includes a plausibility check to eliminate bad data as well as observability analysis to verify if the measurements in the system provide enough (non-redundant) information to estimate the state of that part of the network. Options for the treatment of unobservable areas allow estimation of the network state to be improved.

• Assessment of balanced and unbalanced networks
• Various states to estimate, such as
  • Load active/reactive power or scaling factor
  • Generator active/reactive power
  • Compensator reactive power or transformer tap positions
• Optimisation based on standard solver or IPOPT solver
• P, Q, I and V measurement models
• Measurement plausibility checks
• Automatic bad data detection/elimination
• Verification of system observability
• Various options to
• Consideration of load flow constraints