Connectivity relates to the connections between elements in your grid. Be it distribution lines connecting to transformers, transformers to metres, lines between each other, substations to feeders, etc.. Everything in the grid is connected, however often a utility’s data will say otherwise. This results from years of under-performed documentation and lack of consistency when making changes in the network.
Low connectivity and GIS accuracy make it almost impossible for operators and planners to understand the true energy flow in their grid. This not only makes forecasting complicated, but significantly restricts the effectiveness of DERMS (Distributed Energy Resource Management Systems) and ADMS (Advanced Distribution Management Systems). These advanced systems require a very accurate digital representation of the grid in order to function optimally.
Take an example. An automated DERMS believes that a DER or Electric Vehicle is connected to a certain feeder which is underloaded. As a result, it activates the DER to increase input into the grid and balance the feeder. However, all along the DER was actually connected to a different feeder. Its activation will have no effect on the underloaded feeder, and in fact causes more harm by inputting unwanted energy into a completely separate feeder. All because point of charging was badly associated trough GIS data.
TGI’s powerful algorithms perform a number of tasks: