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Compensation Admittance Load Flow: A Computational Tool for the Sustainability of the Electrical Grid

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  • Benedetto-Giuseppe Risi

    (Department of Industrial, Electronic and Mechanical Engineering, University of Roma Tre, Via Vito Volterra 62, 00146 Rome, Italy
    E-Grids SPA, Enel Group, Via Mantova 24, 000198 Rome, Italy)

  • Francesco Riganti-Fulginei

    (Department of Industrial, Electronic and Mechanical Engineering, University of Roma Tre, Via Vito Volterra 62, 00146 Rome, Italy)

  • Antonino Laudani

    (Department of Industrial, Electronic and Mechanical Engineering, University of Roma Tre, Via Vito Volterra 62, 00146 Rome, Italy)

  • Michele Quercio

    (Department of Industrial, Electronic and Mechanical Engineering, University of Roma Tre, Via Vito Volterra 62, 00146 Rome, Italy)

Abstract

Compensation Admittance Load Flow (CALF) is a power flow analysis method that was developed to enhance the sustainability of the power grid. This method has been widely used in power system planning and operation, as it provides an accurate representation of the power system and its behavior under different operating conditions. By providing a more accurate representation of the power system, it can help identify potential problems and improve the overall performance of the grid. This paper proposes a new approach to the load flow (LF) problem by introducing a linear and iterative method of solving LF equations. The aim is to obtain fast results for calculating nodal voltages while maintaining high accuracy. The proposed CALF method is fast and accurate and is suitable for the iterative calculations required by large energy utilities to solve the problem of quantifying the maximum grid acceptance capacity of new energy from renewable sources and new loads, known as hosting capacity (HC) and load capacity (LC), respectively. Speed and accuracy are achieved through a properly designed linearization of the optimization problem, which introduces the concept of compensation admittance at the node. The proposed method was validated by comparing the results obtained with those coming from state-of-the-art methods.

Suggested Citation

  • Benedetto-Giuseppe Risi & Francesco Riganti-Fulginei & Antonino Laudani & Michele Quercio, 2023. "Compensation Admittance Load Flow: A Computational Tool for the Sustainability of the Electrical Grid," Sustainability, MDPI, vol. 15(19), pages 1-24, October.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:19:p:14427-:d:1252460
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    References listed on IDEAS

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    1. Giacomo Talluri & Gabriele Maria Lozito & Francesco Grasso & Carlos Iturrino Garcia & Antonio Luchetta, 2021. "Optimal Battery Energy Storage System Scheduling within Renewable Energy Communities," Energies, MDPI, vol. 14(24), pages 1-23, December.
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