Ways to Minimize Power Grid Disruptions from Wind Power
Jan. 2, 2014
Researchers Find Ways to Minimize Power Grid Disruptions from Wind Power
FOR IMMEDIATE RELEASE
Researchers from North Carolina State University and Johns Hopkins University have found that an increase in the use of wind power generation can make the power grid more fragile and susceptible to disruptions. But the researchers didn’t just identify the problem – they have also devised a technique for coordinating wind power generation and energy storage in order to minimize the potential for such power disruptions.
Typically, the power flowing through the transmission lines of a power grid suffers from small “oscillations,” or deviations from the norm, after a disturbance. Generally, these oscillations are mitigated by means of controllers inside the power generators. However, if the controls are not strong enough, the oscillations may be “sustained,” reducing the efficiency of power transfer and posing a threat to the stability of the grid. If not controlled properly, these oscillations can even lead to widespread power outages – such as the 1996 blackout that hit the West Coast of the U.S.
The researchers found that, under certain circumstances, wind power generators can make these oscillations worse. This is because wind farms produce power erratically. After all, the amount of power being produced by wind farms depends on how hard the wind is blowing. Furthermore, the nature of these oscillations strongly depends on where the wind farms are located in the grid.
“To counteract this problem, we have designed a technique that coordinates the activity of controllers inside the wind turbines and battery management systems to even out the flow of power from wind farms into the grid,” says Dr. Aranya Chakrabortty, an assistant professor of electrical engineering at NC State and senior author of a paper describing the work.
Specifically, the research team developed several algorithms that match control efforts between wind farms and energy storage facilities. If the power output for the wind farm increases, the surplus can be siphoned off to charge batteries at the storage facility, instead of being dumped directly onto the power grid. Similarly, if the power output at a wind farm declines, the batteries can compensate for the loss and provide power to the grid.
“By matching the behavior of the two controllers, we can produce the desired damping effect on the power flow and restore stable grid behavior,” Chakrabortty says.
This issue is particularly important because wind energy is one of the fastest growing sources of renewable energy. In the U.S., the rapid increase in wind farm installations is being accelerated by government mandates and the goal of providing 20 percent of the nation’s power needs through wind power by 2020.
The paper, “Coordinating Wind Farms and Battery Management Systems for Inter-Area Oscillation Damping: A Frequency-Domain Approach,” is published online in IEEE Transactions on Power Systems. Lead author of the paper is Souvik Chandra, a Ph.D. student at NC State. The paper was co-authored by Dr. Dennice Gayme of Johns Hopkins. The work was supported by the National Science Foundation under grants ECCS 1062811 and 1230788.
Note to Editors: The study abstract follows.
“Coordinating Wind Farms and Battery Management Systems for Inter-Area Oscillation Damping: A Frequency-Domain Approach”
Authors: Souvik Chandra and Aranya Chakrabortty, North Carolina State University; Dennice F. Gayme, Johns Hopkins University
Published: Online Oct. 17, 2013 in IEEE Transactions on Power Systems
Abstract: This paper presents a set of linear
control designs for shaping the inter-area oscillation
spectrum of a large radial power system through coordinated
control of a wind farm and a battery energy system (BES). We
consider a continuum representation of the power system with
the wind and battery power modeled as point-source forcings.
A spectral analysis of the system demonstrates that its
oscillation spectrum strongly depends on the locations of
these power injections, implying that there are siting
locations that produce more favorable spectral responses.
However, the ability to site a wind farm or BES at a
specific location may be limited by geographic,
environmental, economic or other considerations. Our work
provides a means to circumvent this problem by designing
coordinated controllers for the power outputs of the wind
farm and the BES by which one can shape the spectral
response of the system to a desired response. The design is
posed as a parametric optimization problem that minimizes
the error between the two spectral responses over a finite
range of frequencies. The approach is independent of the
locations of the wind farm and the BES, and can be
implemented in a decentralized fashion.