What is it about?
With the advent of smart meters, an electricity provider now has convenient capabilities for discriminatory pricing of different times of the day. A major piece of this demand-side management issue is to properly assess how to best decompose a day into groups of time periods. The number of different time period groups (such as groups of hours) and the best time periods to cluster together because of similarity with historical electricity usage are addressed by incorporating various optimization models. Electricity usage for a campus of 93 buildings was incorporated and results for the various optimization models introduced compared.
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Why is it important?
Load-leveling is an important portion of demand-side management in the electricity industry. A superior choice of how an electricity firm should price different portions of the day will assist them with load-leveling and ultimately tend to make electricity usage cheaper.
Perspectives
I really like the potential that this research has to assist in making our environment more efficient and less expensive!
David F. Rogers
University of Cincinnati
Read the Original
This page is a summary of: Optimal Clustering of Time Periods for Electricity Demand-Side Management, IEEE Transactions on Power Systems, November 2013, Institute of Electrical & Electronics Engineers (IEEE),
DOI: 10.1109/tpwrs.2013.2252373.
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