Improving the efficiency of power grids using artificial intelligence techniques
A power grid is an interconnected network responsible for delivering electricity from
producers to consumers. Every power grid has essential components that are responsible for its proper
functioning, namely, generating stations, electrical substations, high voltage transmission lines and the
phasor measurement unit. Phasor measurement units play a very important role when it comes to
providing accurate measurements of voltages at the buses. It also provides the current phase values
which are associated with those particular buses. The only two limitations that come in the way of
enhancing the efficiency of phasor measurement unit are either the cost factor or the non-existence
limitation of communication facilities in few parts of this system. To make the system more
observable, we need lesser number of phasor measurement units as compared to the number of buses.
To gain complete observability of the power grid, it is essential to determine the least number of phasor
units necessary to keep the power grid functioning. The optimal position of the phasor measurement
unit can be achieved by various techniques. Hereby, we analyze the characteristics of conventional
mathematical methods and form a comparison between the different techniques that take cost related
factors into account.