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Hybrid Scheduling Strategy Based on New Energy Consumption And Optimal Operation Cost
ID：41 View Protection：ATTENDEE Updated Time：2022-05-16 09:04:23 Hits：366 Poster Presentation

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Abstract
Abstract—Aiming at the difficulty of large-scale new energy consumption and the problems of randomness, volatility and intermittence, a multi-objective optimization model with the largest new energy consumption and the smallest system operation cost is established in this paper. By introducing the hybrid NSGAII-MOPSO algorithm, on the premise of maximizing the consumption of wind power and photovoltaic power, the primary energy consumption of thermal power units is reduced as much as possible, so as to achieve the purpose of energy conservation and emission reduction. The hybrid algorithm can obtain well distributed and diversified Pareto optimal solutions, and converge to the actual Pareto optimal frontier faster than some existing algorithms. Finally, an example is given to verify the effectiveness of the model and algorithm. The simulation results show that the model can well reduce the operation cost and greatly promote the consumption of wind power and photovoltaic power generation.
 
Keywords
New energy consumption;operating cost;hybrid optimization algorithm;multi-objective optimization
Speaker
HuiMa
三峡大学

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Important Date

  • Conference Date

    May 27

    2022

    to

    May 29

    2022

  • Feb 28 2022

    Draft paper submission deadline

  • May 29 2022

    Registration deadline

  • Jun 22 2022

    Contribution Submission Deadline

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IEEE Beijing Section
China Electrotechnical Society
Southeast University
Supported By
IEEE Industry Applications Society
IEEE Nanjing Section
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