Risk-aware stochastic bidding strategy of renewable micro-grids in day-ahead and real-time markets

A comprehensive optimal bidding strategy model has been developed for renewable micro-grids to take part in day-ahead (energy and reserve) and real-time markets considering uncertainties. A two-stage stochastic programming method has been employed to integrate the uncertainties into the problem. Mor...

Full description

Saved in:

Bibliographic Details
Published in:	Energy (Oxford) Vol. 171; pp. 689 - 700
Main Authors:	Fazlalipour, Pary, Ehsan, Mehdi, Mohammadi-Ivatloo, Behnam
Format:	Journal Article
Language:	English
Published:	Oxford Elsevier Ltd 15.03.2019 Elsevier BV
Subjects:	Bidding strategy case studies Conditional value at risk Constraint modelling Electric power grids energy Energy storage Fuel cells Hypercubes Irradiance Latin hypercube sampling Markets Mixed integer Nonlinear programming Photovoltaic cells Photovoltaics Probability density functions Real time risk Risk levels sampling Scenario generation Scenario reduction Solar cells solar energy solar radiation Solvers Turbines Uncertainty Value of the stochastic solution Weibull statistics Wind power Wind speed Wind turbines Value of the stochastic solution Uncertainty Scenario reduction Scenario generation Bidding strategy Conditional value at risk
ISSN:	0360-5442, 1873-6785
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!