Robust model for optimal allocation of renewable energy sources, energy storage systems and demand response in distribution systems via information gap decision theory
Tóm tắt
Từ khóa
Tài liệu tham khảo
Rabiee A., 2016, Information gap decision theory for voltage stability constrained OPF considering the uncertainty of multiple wind farms, IET Renew. Power Gener., 11, 585, 10.1049/iet-rpg.2016.0509
Liu Y., 2017, Demand response and energy efficiency in the capacity resource procurement: case studies of forward capacity markets in iso new england, pjm and Great Britain, Energy. Policy., 100, 271, 10.1016/j.enpol.2016.10.029
Carr S., 2013, Energy storage for active network management on electricity distribution networks with wind power, IET Renew. Power Gener., 8, 249, 10.1049/iet-rpg.2012.0210
Wasiak I., 2013, Energy storage application in low‐voltage microgrids for energy management and power quality improvement, IET Gener. Transm. Distrib., 8, 463, 10.1049/iet-gtd.2012.0687
Aalami H.A., 2016, Energy storage system and demand response program effects on stochastic energy procurement of large consumers considering renewable generation, IET Gener. Transm. Distrib., 10, 107, 10.1049/iet-gtd.2015.0473
Soroudi A., 2014, Large scale renewable power generation, 1
Ben‐Haim Y., 2006, Info‐gap decision theory: decisions under severe uncertainty
Meskens J. Vermeulen J. Luyten K. et al.: ‘Gummy for multi‐platform user interface designs: shape me multiply me fix me use me’.Proc. of the Working Conf. Advanced Visual Interfaces 2008 pp.233–240
Bussieck M.R. Drud A.: ‘Sbb: a new solver for mixed integer nonlinear programming’ Talk OR 2001
Arne Drud A.C.: ‘Conopt4 solver documentation’. Available athttps://www.gams.com/latest/docs/CONOPT4 accessed 22 May 2018