An optimization algorithm could help ensure that solar technologies are integrated with existing technologies such as energy storage and control systems.
Virginia Tech electrical engineers have developed an optimization algorithm for selling power back to the electrical distribution industry and storing electricity on a broad scale. "Withholding distributed photovoltaic power, probably gained from rooftop panels, represents a gaming method to realize higher revenues due to the time varying cost of electricity," says Virginia Tech's Reza Arghandeh. "The distributed photovoltaic power adoption can be controlled with the help of real-time electricity price and load profile."
Arghandeh worked with professor Robert Broadwater on the distributed energy storage system computation. The discrete ascent optimal programming approach insures convergence of the various power systems after a finite number of computational iterations. A solution would depend upon the day ahead forecast of load variation, market prices, and photovoltaic generation. The optimization algorithm provides a distributed energy storage charging and discharging schedule with maximized operation benefits.
From Virginia Tech News
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