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Dynamics Power Quality Cost Assessment Based on a Gradient Descent Method

Author

Listed:
  • Jingyi Zhang

    (State Grid Economic and Technological Research Institute Co., Ltd., Beijing 102209, China)

  • Tongtian Sheng

    (State Grid Corporation of China, Beijing 100031, China)

  • Pan Gu

    (State Grid Economic and Technological Research Institute Co., Ltd., Beijing 102209, China)

  • Miao Yu

    (School of Mechanical-Electronic and Vehicle Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China
    Beijing Engineering Research Center for Building Safety Inspection, Beijing 100044, China)

  • Jiaxin Yan

    (School of Mechanical-Electronic and Vehicle Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China
    Beijing Engineering Research Center for Building Safety Inspection, Beijing 100044, China)

  • Jianqun Sun

    (School of Mechanical-Electronic and Vehicle Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China
    Beijing Engineering Research Center for Building Safety Inspection, Beijing 100044, China)

  • Shanhe Liu

    (State Grid Economic and Technological Research Institute Co., Ltd., Beijing 102209, China)

Abstract

The escalating demand for power load is increasingly prone to triggering power quality (PQ) issues, leading to severe economic losses. Aiming at reducing the economic losses, this paper focuses on the coordinated relationship between PQ and economic costs. Firstly, a multilayer multiple linear stepwise regression method is employed to screen PQ indicators, identifying harmonic and voltage deviation as the primary influencing factors of PQ. Secondly, a gradient descent optimization algorithm based on the Least Absolute Shrinkage and Selection Operator (LASSO) is proposed, enabling rapid computation of the minimum PQ cost. Finally, through validations of two case studies, the results confirm that the proposed method can rapidly calculate the minimum PQ cost based on real-time load demands, enabling the dynamic adjustment of PQ cost to meet the evolving needs of power system development.

Suggested Citation

  • Jingyi Zhang & Tongtian Sheng & Pan Gu & Miao Yu & Jiaxin Yan & Jianqun Sun & Shanhe Liu, 2024. "Dynamics Power Quality Cost Assessment Based on a Gradient Descent Method," Energies, MDPI, vol. 17(9), pages 1-14, April.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:9:p:2104-:d:1384959
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    References listed on IDEAS

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    1. Chaminda Bandara, W.G. & Godaliyadda, G.M.R.I. & Ekanayake, M.P.B. & Ekanayake, J.B., 2020. "Coordinated photovoltaic re-phasing: A novel method to maximize renewable energy integration in low voltage networks by mitigating network unbalances," Applied Energy, Elsevier, vol. 280(C).
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