Making the smart grid intelligent: Using apps for power reliability

Join this webinar to learn how to deploy smart grid applications to combat power outages and cut network losses.

Wed 23 May 2018
13:00 London •14:00 Paris • 20:00 Singapore • 08:00 New York

Webinar Overview

Equipment failure, degradation and small-scale outages cost utilities money - an estimated $150bn every year in the US alone, according to research by the US Department of Energy.

So how could a suite of smart grid applications help improve grid reliability?

Efficient and timely service-problem identification gives a distribution system operator (DSO) the ability to predict and pre-empt outages and poor service eliminating the need for the customer to call and report an outage.

Proactive maintenance, triggered by improved visibility of the network operation and performance, can lead to avoidance of outages due to failed equipment.

By installing intelligent, local applications, utilities can also benefit from real-time, autonomous decision-making, where data can be shared across a variety of devices and platforms in a smart grid.

In response to this and other industry challenges, Networked Energy Services (NES) developed a suite of smart grid applications that are part of the Patagonia platform.

One part of this platform is the distributed control node (DCN), which measures power line communications signal strength and performance at the edge of the grid.

The solution uses the voltage, power and energy monitoring in the NES smart meter and the processing power in the DCN to gather and present topology and supply information from the low-voltage grid.

This information can be combined with information from SCADA platforms monitoring the high- and medium-voltage networks and presented through systems and user interfaces to help utilities improve their network operations and reduce losses.

Exemplifying the benefits of smart grid applications in a use-case scenario, this webinar will demonstrate the potential advantages of using distributed intelligence and smart grid applications to bolster grid reliability and consumer satisfaction.

You can expect to learn how:

  • Distributed control nodes identify and isolate issues
  • Automated problem identification can be incorporated into the smart grid
  • Distributed intelligence can work across different platforms and devices