A population‐based approach to the bi‐level multifollower problem: an application to the electricity retail market

DOI10.1111/itor.12710OpenAlexW2969193452WikidataQ127356439 ScholiaQ127356439MaRDI QIDQ6092541

Maria João Alves, Inês Soares, Carlos Henggeler Antunes

Publication date: 23 November 2023

Published in: International Transactions in Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/itor.12710

zbMATH Keywords

genetic algorithmshybrid algorithmsparticle swarm optimizationdemand responsedynamic tariffsbi-level multifollower optimization

Mathematics Subject Classification ID

Operations research, mathematical programming (90-XX)

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Bilevel optimization to deal with demand response in power grids: models, methods and challenges ⋮ A game‐theoretic approach for the location of terror response facilities with both disruption risk and hidden information

Cites Work

• A Stackelberg game-theoretic approach to optimal real-time pricing for the smart grid
• Foundations of bilevel programming
• A semivectorial bilevel programming approach to optimize electricity dynamic time-of-use retail pricing
• Linear bilevel multi-follower programming with independent followers
• On bilevel multi-follower decision making: general framework and solutions
• Two-Level Linear Programming

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