How to Include Solar into Smart Grid

Monday, August 20, 2012 @ 07:08 PM gHale

There is now an economically feasible way to store solar energy in existing residential power networks.

Solar energy resources are “intermittent, seasonal, and non-dispatchable.” However, the current national climate with its deregulation policies, electricity tariffs, control strategies and demand management are “significant tools for flexible and resilient operation of power systems with photovoltaic adoption levels,” said Reza Arghandeh of Blacksburg, VA, a doctoral candidate in the Bradley Department of Electrical and Computer Engineering at Virginia Tech, who co-authored a paper on the subject with his advisor, Robert Broadwater, professor of electrical and computer engineering, who specializes in electric power system analysis and design. The paper won the best student paper award at the 20th International Conference on Nuclear Engineering, held in conjunction with the American Society of Mechanical Engineering Power 2012 Conference at Anaheim, CA.

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“Selling the household generated electricity into the electric energy market and the storage of electricity in storage systems and demand control systems provide a variety of economic opportunities for customers and utility companies to use more renewable resources,” Arghandeh said.

Some residential houses are already doing just this – selling power back to an electrical distribution industry. But Arghandeh and Broadwater’s work provides an optimization algorithm for a Distributed Energy Storage (DES) system on a broad scale. The system they developed presents a fleet of batteries connected to distribution transformers. The storage system can then see use in withholding distributed photovoltaic power before it bids to market, Arghandeh said.

“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,” he said.

Arghandeh refers to the peak usage of energy systems such as the early evening hours when families return home from school and from work versus the low usage times that occur in the early morning hours when most households are asleep. “The distributed photovoltaic power adoption can be controlled with the help of real-time electricity price and load profile,” he said.

Today’s power systems are moving toward a smart grid concept to improve their efficiencies, reliability, economics, and sustainability. Arhhandeh and Broadwater want to make sure solar technologies integrate into the existing technologies like energy storage and control systems.

Specifically, the distributed energy storage system computation they devised is 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 ends up being a distributed energy storage charging and discharging schedule with maximized operation benefits.

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