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International Symposium on Neural Networks

ISNN 2019: Advances in Neural Networks – ISNN 2019 pp 270–277Cite as

A Hybrid Neurodynamic Algorithm to Multi-objective Operation Management in Microgrid

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11554))

Abstract

In this paper, we consider a microgrid framework consisting of four power generation units, such as gas turbine, fuel cell, diesel generator and photovoltaic power generation. We focus on the minimum power generation cost under the lowest environmental pollution, combining with particle swarm optimization (PSO) and projection neural network. In this framework, we consider the two objectives simultaneously, both economic cost and pollution emission. The projection neural network is used to find the local optimal value, and then the PSO algorithm is used to update the weight to increase the solution diversify and seek global optimization. The convergence and stability of the projection neural network algorithm are reflected in the simulation.

This work is supported by the Natural Science Foundation Project of Chongqing CSTC (Grant no. cstc2018jcyjAX0583, cstc2018jcyjAX0810).

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Author information

Authors and Affiliations

  1. Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing, College of Electronic and Information Engineering, Southwest University, Chongqing, 400715, China

    Chunliang Gou, Xing He & Junjian Huang

  2. Key Laboratory of Machine Perception and Children’s Intelligence Development, Chongqing University of Education, Chongqing, 400067, China

    Chunliang Gou, Xing He & Junjian Huang

Authors
  1. Chunliang Gou
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  2. Xing He
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  3. Junjian Huang
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Corresponding author

Correspondence to Xing He .

Editor information

Editors and Affiliations

  1. Dalian University of Technology, Dalian, China

    Huchuan Lu

  2. Sichuan University, Chengdu, China

    Huajin Tang

  3. Northeastern University, Shenyang, China

    Zhanshan Wang

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Gou, C., He, X., Huang, J. (2019). A Hybrid Neurodynamic Algorithm to Multi-objective Operation Management in Microgrid. In: Lu, H., Tang, H., Wang, Z. (eds) Advances in Neural Networks – ISNN 2019. ISNN 2019. Lecture Notes in Computer Science(), vol 11554. Springer, Cham. https://doi.org/10.1007/978-3-030-22796-8_29

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  • DOI: https://doi.org/10.1007/978-3-030-22796-8_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-22795-1

  • Online ISBN: 978-3-030-22796-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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