NYPA introduces new technology to monitor grid-network in real-time

NYPA introduces new technology to monitor grid-network in real-time

The New York Power Authority (NYPA) has reportedly developed a real-time grid monitoring solution termed the phasor measurements unit (PMU) and analytics platform by utilizing USD 1.2 million funding from the U.S. Department of Energy.

The technology was developed in collaboration with the Bonneville Power Administration and Electric Power Group using assets held by NYPA.

NYPA would use the technology to monitor the activities of its distributed energy assets in real-time, allowing the utility to detect and respond to system outages. This would reduce power outages, improve customer service and grid dependability.

The system uses PMU data streams to offer a real-time evaluation of the state's electric grid stress and transmits information about possible difficulties.

The technology's development and deployment coincide with NYPA's efforts to integrate more renewable energy supplies into the grid while also improving distributed intelligence. With this, the utility would now be able to solve issues such as phase angle constraints and voltage stability margins by monitoring the grid network in real-time.

Although distributed energy resources (DERs) cause various problems for utilities, they are critical to the sector's transition to net-zero carbon emission. DERs will allow utilities to diversify their renewable energy portfolio by delivering flexible energy that can be used to fulfill demand during peak periods that were traditionally met by fossil-fuel-based energy.

The project is part of the energy company's VISION2030 strategy, which intends to enhance partnerships with research organizations, other utilities, and technology firms to speed the company's digital transformation. NYPA will be able to modernize its infrastructure via digitalization and satisfy changing consumer demands.

In this context, NYPA President and CEO Gil C. Quiniones expressed the utility is well on its way to becoming an end-to-end digital utility.

The utility chose 20 artificial intelligence and machine learning technology startups in August to help accelerate its clean energy transition and meet its climate action targets. Once implemented, the solutions will aid the energy company in better managing its energy generation and transmission assets, along with improving customer relations.