An economically feasible way to store solar energy in existing residential power networks is the subject of an award winning paper written by two Virginia Tech electrical engineers and presented at an international conference.
Today’s power systems are moving towards a smart grid concept to improve their efficiencies, reliability, economics, and sustainability. The engineers want to ensure that solar technologies are integrated with the existing technologies like energy storage and control systems.
Specifically, the distributed energy storage system computation they devised is called a discrete ascent optimal programming approach. It insures convergence of the various power systems after a finite number of computational iterations. A solution determined by using their approach depends upon the day ahead forecast of load variation, market prices, and photovoltaic generation.
The output of their optimization algorithm is a distributed energy storage charging and discharging schedule with maximized operation benefits.
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