Featured Research

from universities, journals, and other organizations

New approach to modeling power system aims for better monitoring and control of blackouts

Date:
January 13, 2011
Source:
North Carolina State University
Summary:
Major power outages are fairly infrequent, but when they happen they can result in billions of dollars in costs -- and even contribute to fatalities. New research has led to the development of an approach by which high-resolution power-system measurements, also referred to as synchrophasors, can be efficiently used to develop reliable models of large power systems, which would help us keep an eye on their health.

Major power outages are fairly infrequent, but when they happen they can result in billions of dollars in costs -- and even contribute to fatalities. Now research from North Carolina State University has led to the development of an approach by which high-resolution power-system measurements, also referred to as Synchrophasors, can be efficiently used to develop reliable models of large power systems, which would help us keep an eye on their health.

Synchrophasors are real-time measurements of voltages and currents that provide a very high-resolution view of various complex events occurring in a power system. They are measured by sophisticated digital recording devices called phasor measurement units (PMUs). "PMUs are comparable to surveillance cameras that continuously monitor the complex dynamics of groups of people in busy places, and indicate how different people respond and interact with each other," says Dr. Aranya Chakrabortty, lead author of a paper describing the research and an assistant professor of electrical and computer engineering at NC State.

"This research is a major step toward helping us understand how Synchrophasor technology can be used to model the complex behavior of any large, geographically distributed power system, especially taking into account the system's interconnected nature," Chakrabortty says.

"We need to have a better understanding of how a disturbance entering one generation cluster -- or localized group of nodes -- may spread across the entire system, creating havoc in its neighboring clusters as well," Chakrabortty says. "More importantly, we need to investigate if the speed of this spread is dictated by the way these clusters are connected to each other." The North American power grid is divided into four distinct operating zones, each of which has several such generation pockets, Chakrabortty explains, across which a disturbance can disseminate very easily.

For example, during the 2003 Northeast Blackout, generating units in Ohio and New England appeared to be functioning smoothly. However, there was significant disparity between the two regions when it came to reactive power -- which is a byproduct of generating electricity. That disparity created a cascading series of "voltage collapse" events -- which cut off power to approximately 50 million people, was linked to multiple fatalities and cost an estimated $4 to 10 billion. The event highlighted the need for monitoring the system globally, rather than focusing on individual nodes in isolation.

"In order to understand how the effects of major disturbances can propagate across the North American power system, we need highly reliable and rigorous mathematical models that capture the dynamics of its various clusters, as well as the way those dynamics will evolve when the clusters are connected to each other in the overall system," Chakrabortty says. "Traditional measurement methods in power systems are too slow and, therefore, incapable of capturing these dynamics, which can change dramatically in fractions of a second. With the Synchrophasor technology today such models are possible."

Chakrabortty and his co-authors from Rensselaer Polytechnic Institute (RPI) and Southern California Edison have developed an approach for creating cluster models, which uses Synchrophasors from PMUs located at specific points within a cluster of nodes. The approach also allows one to identify how the clusters are connected to each other by comparing PMU measurements at different points in the system. "Once you have modeled the clusters and determined their connections," Chakrabortty says, "our algorithm enables you to model the interactive behavior of the clusters within the larger system in the face of large disturbances. We also show how to place PMUs optimally at the nodes so as to extract maximum amount of useful information for better modeling.

"Our models are informative, yet easy to compute," Chakrabortty adds. "They will help power-system operators track and predict the global health of any distributed power system in real time so that catastrophes such as the 2003 blackout can be prevented in the future. The study will lead to an entirely new vision of monitoring and controlling the North American grid, which is becoming more expansive, and, more chaotic day by day."

The research was partly funded by the Power System Research Consortium, and is currently being extended at NC State under the support of the National Science Foundation.


Story Source:

The above story is based on materials provided by North Carolina State University. Note: Materials may be edited for content and length.


Journal Reference:

  1. Aranya Chakrabortty, Joe H. Chow, Armando Salazar. A Measurement-Based Framework for Dynamic Equivalencing of Large Power Systems Using Wide-Area Phasor Measurements. IEEE Transactions on Smart Grid, 2010; DOI: 10.1109/TSG.2010.2093586

Cite This Page:

North Carolina State University. "New approach to modeling power system aims for better monitoring and control of blackouts." ScienceDaily. ScienceDaily, 13 January 2011. <www.sciencedaily.com/releases/2011/01/110112110434.htm>.
North Carolina State University. (2011, January 13). New approach to modeling power system aims for better monitoring and control of blackouts. ScienceDaily. Retrieved September 15, 2014 from www.sciencedaily.com/releases/2011/01/110112110434.htm
North Carolina State University. "New approach to modeling power system aims for better monitoring and control of blackouts." ScienceDaily. www.sciencedaily.com/releases/2011/01/110112110434.htm (accessed September 15, 2014).

Share This



More Matter & Energy News

Monday, September 15, 2014

Featured Research

from universities, journals, and other organizations


Featured Videos

from AP, Reuters, AFP, and other news services

Manufacturer Prints 3-D Car In Record Time

Manufacturer Prints 3-D Car In Record Time

Newsy (Sep. 15, 2014) — Automobile manufacturer Local Motors created a drivable electric car using a 3-D printer. Printing the body only took 44 hours. Video provided by Newsy
Powered by NewsLook.com
Refurbished New York Subway Tunnel Unveiled After Sandy Damage

Refurbished New York Subway Tunnel Unveiled After Sandy Damage

Reuters - US Online Video (Sep. 15, 2014) — New York officials unveil subway tunnels that were refurbished after Superstorm Sandy. Nathan Frandino reports. Video provided by Reuters
Powered by NewsLook.com
Frustration As Drone Industry Outpaces Regulation In U.S.

Frustration As Drone Industry Outpaces Regulation In U.S.

Newsy (Sep. 14, 2014) — U.S. firms worry they’re falling behind in the marketplace as the FAA considers how to regulate commercial drones. Video provided by Newsy
Powered by NewsLook.com
Smart Gun Innovators Fear Backlash From Gun Rights Advocates

Smart Gun Innovators Fear Backlash From Gun Rights Advocates

Newsy (Sep. 14, 2014) — Winners of a contest for smart gun design are asking not to be named after others in the industry received threats for marketing similar products. Video provided by Newsy
Powered by NewsLook.com

Search ScienceDaily

Number of stories in archives: 140,361

Find with keyword(s):
 
Enter a keyword or phrase to search ScienceDaily for related topics and research stories.

Save/Print:
Share:  

Breaking News:
from the past week

In Other News

... from NewsDaily.com

Science News

Health News

Environment News

Technology News



Save/Print:
Share:  

Free Subscriptions


Get the latest science news with ScienceDaily's free email newsletters, updated daily and weekly. Or view hourly updated newsfeeds in your RSS reader:

Get Social & Mobile


Keep up to date with the latest news from ScienceDaily via social networks and mobile apps:

Have Feedback?


Tell us what you think of ScienceDaily -- we welcome both positive and negative comments. Have any problems using the site? Questions?
Mobile iPhone Android Web
Follow Facebook Twitter Google+
Subscribe RSS Feeds Email Newsletters
Latest Headlines Health & Medicine Mind & Brain Space & Time Matter & Energy Computers & Math Plants & Animals Earth & Climate Fossils & Ruins