DOE, NYISO dedicate smart grid controls project in N.Y.
The Department of Energy recognized the completion of NYISO smart grid and control center project in Rensselaer, New York
The Department of Energy recognized the completion of New York Independent System Operator’s (NYISO) smart grid and control center project in Rensselaer, New York.
Assistant Secretary for Electricity Delivery and Energy Reliability Patricia Hoffman joined with public and private sector partners in New York to dedicate a new grid operations control center and highlight how Recovery Act-supported investments have strengthened the NYISO system’s overall reliability and resiliency.
With support from the Recovery Act, the DOE partnered with utilities across the U.S. to deploy sophisticated grid sensors — known as synchrophasors — that monitor the flow of electricity with unprecedented precision and provide continuous and near-real-time information on the grid’s health and security.
These measurements allow system operators and owners to identify and respond to potential disturbances quickly and effectively — improving overall grid reliability, safeguarding against power outages and enabling faster restoration of power.
Leveraging a $38 million Recovery Act investment, NYISO and eight transmission owners deployed new synchrophasors and smart grid technologies across the state. The project installed new transmission capacitors to increase the ability of grid operators to regulate transmission voltages and advanced software and tools that help NYISO engineers conduct extensive and detailed system modeling and analysis. The new control center will give NYISO and neighboring grid control areas a far more expansive and in-depth view of the power grid.
The DOE has worked with utilities across the country to increase the number of synchrophasors five-fold — from less than 200 in 2009 to over 1,700 today. In September 2013, the DOE announced up to $9 million to support the development of new software applications that will help grid owners and operators respond quickly to unusual grid conditions and improve day-to-day grid reliability.