A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is
Optimization Models for EV Aggregator Participation in a Manual Reserve Market
IEEE Transactions on Power Systems
The charging flexibility of Electric vehicles (EV) when aggregated by a market agent creates an opportunity for selling manual reserve in the electricity market. This paper describes a new optimization algorithm for optimizing manual reserve bids. Furthermore, two operational management algorithms covering alternative gate closures (i.e., day-ahead and hour-ahead) are also described. These operational algorithms coordinate EV charging for mitigating forecast errors. A casestudy with data fromdoi:10.1109/tpwrs.2012.2233222 fatcat:c4ntuqzyrrgujokrpmkhnwki3a