Dynamic environmental/economic scheduling for microgrid using improved MOEA/D-M2M

DOI10.1155/2016/2167153zbMath1400.90172OpenAlexW2408310817WikidataQ59131106 ScholiaQ59131106MaRDI QIDQ1792809

Yanjun Fang, Xin Li

Publication date: 12 October 2018

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2016/2167153

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59) Environmental economics (natural resource models, harvesting, pollution, etc.) (91B76)

Related Items (3)

A hybrid constraints handling strategy for multiconstrained multiobjective optimization problem of microgrid economical/environmental dispatch ⋮ Dynamic reversible lane optimization in autonomous driving environments: balancing efficiency and safety ⋮ Dynamic operation management of a renewable microgrid including battery energy storage

Uses Software

• SPEA2
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Cites Work

• Evolutionary multi-criterion optimization. 4th international conference, EMO 2007, Matsushima, Japan, March 5--8, 2007. Proceedings
• Evolutionary game analysis of cooperation between microgrid and conventional grid
• Unnamed Item

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