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Hybrid Scheduling Strategy Based on New Energy Consumption And Optimal Operation Cost
编号：41 访问权限：仅限参会人 更新：2022-05-16 09:04:23 浏览：190次 张贴报告

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摘要
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.
 
关键词
New energy consumption;operating cost;hybrid optimization algorithm;multi-objective optimization
报告人
HuiMa
三峡大学

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重要日期

  • 会议日期

    05月27日

    2022

    至

    05月29日

    2022

  • 02月28日 2022

    初稿截稿日期

  • 05月29日 2022

    注册截止日期

  • 06月22日 2022

    报告提交截止日期

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