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Smart microgrid energy management using a novel artificial shark optimization

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Publication:1688041
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DOI10.1155/2017/2158926zbMath1377.93119OpenAlexW2761507194MaRDI QIDQ1688041

Peng Zhang

Publication date: 5 January 2018

Published in: Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2017/2158926


zbMATH Keywords

artificial shark optimization (ASO)battery energy storage (BES)microgrid (MG) technologymicrogrid optimizationrenewable energy sources (RESs) integration


Mathematics Subject Classification ID

Applications of optimal control and differential games (49N90) Application models in control theory (93C95) Environmental economics (natural resource models, harvesting, pollution, etc.) (91B76)


Related Items (2)

Hybridized symbiotic organism search algorithm for the optimal operation of directional overcurrent relays ⋮ A novel sparse false data injection attack method in smart grids with incomplete power network information




Cites Work

  • Self-adaptive learning based particle swarm optimization
  • A study of particle swarm optimization particle trajectories




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