Aineistot 1-2 / 2
A regret-based stochastic bi-level framework for scheduling of DR aggregator under uncertainties
(Institute of Electrical and Electronics Engineers (IEEE), 2020-01-23)
A regret-based stochastic bi-level framework for optimal decision making of a demand response (DR) aggregator to purchase energy from short term electricity market and wind generation units is proposed. Based on this model, ...
Peer-to-peer energy trading between wind power producer and demand response aggregators for scheduling joint energy and reserve
In this article, a stochastic decision-making framework is presented in which a wind power producer (WPP) provides some required reserve capacity from demand response aggregators (DRAs) in a peer-to-peer (P2P) structure. ...