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Optimal Dispatching Strategy for Textile-Based Virtual Power Plants Participating in GridLoad Interactions Driven by Energy Price

Author

Listed:
  • Tingyi Chai

    (Changzhou Power Supply Branch, State Grid Jiangsu Electric Power Co., Ltd., Changzhou 213004, China)

  • Chang Liu

    (Changzhou Power Supply Branch, State Grid Jiangsu Electric Power Co., Ltd., Changzhou 213004, China)

  • Yichuan Xu

    (Changzhou Power Supply Branch, State Grid Jiangsu Electric Power Co., Ltd., Changzhou 213004, China)

  • Mengru Ding

    (College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing 211816, China)

  • Muyao Li

    (College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing 211816, China)

  • Hanyu Yang

    (College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing 211816, China)

  • Xun Dou

    (College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing 211816, China)

Abstract

The electricity consumption of the textile industry accounts for 2.12% of the total electricity consumption in society, making it one of the high-energy-consuming industries in China. The textile industry requires the use of a large amount of industrial steam at various temperatures during production processes, making its dispatch and operation more complex compared to conventional electricity–heat integrated energy systems. As an important demand-side management platform connecting the grid with distributed resources, a virtual power plant can aggregate textile industry users through an operator, regulating their energy consumption behavior and enhancing demand-side management efficiency. To effectively address the challenges in load regulation for textile industry users, this paper proposes a coordinated optimization dispatching method for electricity–steam virtual-based power plants focused on textile industrial parks. On one hand, targeting the impact of different energy prices on the energy usage behavior of textile industry users, an optimization dispatching model is established where the upper level consists of virtual power plant operators setting energy prices, and the lower level involves multiple textile industry users adjusting their purchase and sale strategies and changing their own energy usage behaviors accordingly. On the other hand, taking into account the energy consumption characteristics of steam, it is possible to optimize the production and storage behaviors of textile industry users during off-peak electricity periods in the power market. Through this electricity–steam optimization dispatching model, the virtual power plant operator’s revenue is maximized while the operating costs for textile industry users are minimized. Case study analyses demonstrate that this strategy can effectively enhance the overall economic benefits of the virtual power plant.

Suggested Citation

  • Tingyi Chai & Chang Liu & Yichuan Xu & Mengru Ding & Muyao Li & Hanyu Yang & Xun Dou, 2024. "Optimal Dispatching Strategy for Textile-Based Virtual Power Plants Participating in GridLoad Interactions Driven by Energy Price," Energies, MDPI, vol. 17(20), pages 1-20, October.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:20:p:5142-:d:1499798
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    References listed on IDEAS

    as
    1. Heydar Maddah & Milad Sadeghzadeh & Mohammad Hossein Ahmadi & Ravinder Kumar & Shahaboddin Shamshirband, 2019. "Modeling and Efficiency Optimization of Steam Boilers by Employing Neural Networks and Response-Surface Method (RSM)," Mathematics, MDPI, vol. 7(7), pages 1-17, July.
    2. Bhuiyan, Erphan A. & Hossain, Md. Zahid & Muyeen, S.M. & Fahim, Shahriar Rahman & Sarker, Subrata K. & Das, Sajal K., 2021. "Towards next generation virtual power plant: Technology review and frameworks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
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