A semivectorial bilevel programming approach to optimize electricity dynamic time-of-use retail pricing

DOI10.1016/j.cor.2017.12.014zbMath1391.90542OpenAlexW2772480285WikidataQ57664264 ScholiaQ57664264MaRDI QIDQ1651594

Maria João Alves, Carlos Henggeler Antunes

Publication date: 12 July 2018

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10316/47628

zbMATH Keywords

multi-objective optimizationgenetic algorithmssemivectorial bilevel optimizationdemand responsehybrid approacheselectricity retail markets

Mathematics Subject Classification ID

Nonconvex programming, global optimization (90C26) Multi-objective and goal programming (90C29) Nonlinear programming (90C30) Optimality conditions and duality in mathematical programming (90C46) Sensitivity, stability, parametric optimization (90C31)

Related Items (9)

Bilevel optimization to deal with demand response in power grids: models, methods and challenges ⋮ Optimization of facility location and size problem based on bi-level multi-objective programming ⋮ Revenue optimization in energy networks involving self-scheduled demand and a smart grid ⋮ A new exact method for linear bilevel problems with multiple objective functions at the lower level ⋮ Metaheuristics for bilevel optimization: a comprehensive review ⋮ A population‐based approach to the bi‐level multifollower problem: an application to the electricity retail market ⋮ A Discussion of Mixed Integer Linear Programming Models of Thermostatic Loads in Demand Response ⋮ Semivectorial bilevel programming versus scalar bilevel programming ⋮ Stability for semivectorial bilevel programs

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