INTERPRETER has developed a lot of efforts to develop algorithms required by the Grid Modelling Tool, under low, medium and high data availability scenario. Reports regarding the low and medium data availability are confidential reports, whereas the report corresponding to high data availability is publicly available in the Results page.

Main objectives of the INTERPRETER algorithms are summarized hereafter:

Algorithms for Low Data Availability


Network node connection

Create the grid layout from existing information. This algorithm involves all five grid model entities: Nodes, Lines, Transformers, Loads and PV generators

Parameter estimation (Transformer, Load, PV Generators, Cables)

Available information on grid elements is added or estimated from reference tables (e.g. cable type, nominal power, voltage levels).

Loading Scenarios (Load PQ Profiles, PV generation profiles, Transformer voltage profiles)

Create the loading output of the grid modelling tool. If sufficient historical data is available, the loading scenario is created combining time series from all loads, generators and transformers in the network. If data is missing, typical profiles from the data extrapolation will be employed.


Algorithms for Medium Data Availability


Isolated areas

Locate isolated elements of a network model and connect them to the rest of the network.

Cable mistakes

Detect inconsistencies in the network model (e.g.: three-phase load connected to a single-phase line)

Phase location

Identify the phase to which each load in the network is connected.

Tap position

Detect the tap position of a secondary substation transformers


Algorithms for High Data Availability


Power Flow Algorithm

Calculate the state variables of the power system given the states of its generators and loads.

Tap Optimisation Algorithm

Find the optimal tap settings of each transformer in the network.

State Estimation Algorithm

Find the state variables of the power system, but it requires many measurements from the network in order to produce a result of satisfying accuracy. In case the measurements are not enough, results from the PFA supplement the sufficient results.