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Optimization model of combined peak shaving of virtual power grid and thermal power based on power IoT

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Abstract

In order to improve energy efficiency, reduce dependence on fossil fuels, and enhance the sustainable development capability of the power system, this paper proposes a virtual grid and thermal power joint peak shaving optimization model based on the power Internet of Things. Establish an objective function to optimize the charging and discharging loss cost of energy storage equipment, the interruption compensation cost of interruptible loads, and the operating cost of thermal power units, in order to improve the optimization scheduling effect of the power system. Set power balance constraints, interruptible load constraints, energy storage constraints, and power constraints for thermal power units to maximize their operational efficiency, and construct a virtual grid and thermal power joint peak shaving optimization model. Using ant colony algorithm to solve the model and obtain the optimal peak shaving value that meets the development needs of the power system. The simulation results show that the mean r2 of our method is 0.97, and the average RMSE is 0.17. It has been proven that the model has good joint shaving optimization ability and high optimization accuracy. It can ensure the output of thermal power units and lower the peak shaving pressure of the power system, thereby promoting the sustainable development and stable operation of the power system.

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Availability of data and materials

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

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Funding

The study was supported by Power data "pocket book" key technology and product design and research and development (No. 1400-202040410A-0–0-00).

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Authors and Affiliations

  1. State Grid Liaoning Electric Power Supply Co., LTD, Shenyang, 110006, Liaoning, China

    Yong Wang, Peng Wang & Zhenjiang Lei

  2. Nari Group Corporation, Nan**g, 211100, Jiangsu, China

    Mengxin Guo & **yun Luo

Authors
  1. Yong Wang
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  2. Peng Wang
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  3. Mengxin Guo
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  4. Zhenjiang Lei
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  5. **yun Luo
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Contributions

YW helped in funding acquisition, writing—original draft preparation, writing—review and editing, and project administration. PW contributed to conceptualization, formal analysis, methodology, writing—review and editing. MG helped in data curation, investigation, software, writing—review and editing. ZL helped in investigation, visualization, writing—review and editing. XL done resources, supervision, writing—review and editing.

Corresponding author

Correspondence to **yun Luo.

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Wang, Y., Wang, P., Guo, M. et al. Optimization model of combined peak shaving of virtual power grid and thermal power based on power IoT. Electr Eng (2024). https://doi.org/10.1007/s00202-024-02596-1

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