Multiobjective optimization methods for congestion management in deregulated power systems

DOI10.1155/2012/962402zbMath1237.90282DBLPjournals/jece/Vijayakumar12OpenAlexW2032460537WikidataQ58908748 ScholiaQ58908748MaRDI QIDQ415839

K. Vijayakumar

Publication date: 9 May 2012

Published in: Journal of Electrical and Computer Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2012/962402

zbMATH Keywords

evolutionary programmingcongestion managementderegulated electricity marketmultiobjective fuzzy evolutionary programmingnondominated sorting genetic algorithmtransmission congestion alleviation

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Multi-objective and goal programming (90C29) Approximation methods and heuristics in mathematical programming (90C59) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70) Economic models of real-world systems (e.g., electricity markets, etc.) (91B74)

Uses Software

• MATPOWER

Cites Work

• On finding multiple Pareto-optimal solutions using classical and evolutionary generating methods
• Unnamed Item

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