University of California, Riverside

Department of Electrical and Computer Engineering



Visiting Scholar: Dr. Mohammad Hajiesmaili presents a talk on "Online Storage Management for Integration of Renewables in Electricity Market"


Visiting Scholar: Dr. Mohammad Hajiesmaili presents a talk on "Online Storage....
 
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Visiting Scholar: Dr. Mohammad Hajiesmaili presents a talk on "Online Storage Management for Integration of Renewables in Electricity Market"

September 19, 2017 - 4:00 pm
Winston Chung Hall 215

ABSTRACT

With unprecedented benefits in terms of efficiency, economy, reliability, and environmental awareness, in the recent years, there has been a rapid proliferation of renewable energy sources such as solar and wind in electric power systems. Despite these benefits, the inherent uncertainty in renewables places severe challenges on the management of the entire energy systems, including electricity market. Leveraging energy storage systems is a promising approach to mitigate the uncertainty of renewables, by charging and discharging during the mismatched periods. Energy storage systems, however, offers a new design space for additional optimization. That is, a storage system can capture energy during periods when the market prices are low and surrender stored energy when energy prices are high. 

In this talk, we consider different scenarios of storage management in both supply and demand sides of the electricity market. The uncertainties in both renewable output and electricity market price, emphasizes the need for online solution design. The underlying theoretical problems could be described as extensions of conversion problems in financial markets, i.e., the search for best prices to buy and/or sell assets. The difference with the conversion problems, is that in addition to the uncertainty in the price, our problems suffer from another uncertainty originated from renewable output. We follow online algorithm design and use competitive ratio as the performance measure of our algorithms. We present our recent results in designing competitive online algorithms that achieve constant competitive ratios. In addition, we briefly talk about the case of utilizing aggregate potentials distributed small-scale storage systems, such as EVs or residential storages, to participate in electricity market through an aggregator. This setting is more challenging than the previous one, since the distributed sources also arrive in online manner with heterogeneous profiles. 

BIOGRAPHY

Mohammad Hajiesmaili received his B.Sc. degree in Computer Engineering from the Department of Computer Engineering, Sharif University of Technology, Iran, in 2007, and his M.Sc. and Ph.D. degrees in Computer Engineering from the Electrical and Computer Engineering Department, University of Tehran, Iran, in 2009 and 2014, respectively. He was a Postdoctoral Fellow with the Department of Information Engineering, The Chinese University of Hong Kong, from 2014 to 2016. He is currently a Postdoctoral Fellow with the Department of Electrical and Computer Engineering, Johns Hopkins University. His research interests include optimization, algorithm, and mechanism design in communication, energy, and transportation networks.

 

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