Continuous Dynamic Balancing Provides Margin in Wind Energy Forecasting

U.S. Patent 9715261 with the patent incorporated herein by reference provides methods for demand-side management which according to National Reliability Corporation (NERC) is the key in maintaining reliability during summer months ,  the application provides methods for dynamically balancing loads on the grid with energy storage in the form of heat or ice. The application calls this, in part,  “thermal inertia” and may be found as a novel method of energy storage with demand side management capability.

Wind energy forecasts are critical for reliably integrating  variable power sources into the U.S. power grid, according to the 2012 Summer Reliability Assessment (SEE: NERC RELIABILITY REPORT) issued by the North American Electric Reliability Corporation.

According to the report, 2%  of peak peak demand during summer will be from wind, however depending on the mix of generation available this number may reach 21% percent. The electric reliability corporation is regulated and watched over by the Federal Energy Regulatory Commission(FERC), whereas together and with other grid participants are responsible for ensuring the nation’s grid is in good shape. Handling the volatility of wind generation is one its many priorities.

Without continuous dynamic balancing of generation and loads forecasting wind generation becomes critical. Making accurate forecasts is difficult because power production depends heavily on weather conditions.

However if  the methods of continuous dynamic balancing of generation and loads were in place grid operators would have more slack and room for error in the wind forecast.

The relief from the variability of the wind makes it much more easier for utilities and grid operators to tolerate errors in prediction of how much wind energy they can expect because of the  energy storage and demand side management. That in turn makes it easier to figure out how to meet peak demand and keep existing contingency plans.

Sudden shortfalls of wind power could be handled on with demand side management. Utilities could may avoid fines by their regulators since power is reliably delivered to their customers.

With demand side management with  continuous dynamic balancing of generation and loads greater errors in forecasting are tolerated and may be part of a consistent method to determine on‐peak wind capacity needed to ensure uniform measurement and resource adequacy assumptions.


Copyright Thomas Wilkins et al.  2017, All Rights Reserved