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

Benedetto-Giuseppe Risi, Francesco Riganti-Fulginei (), Antonino Laudani and Michele Quercio
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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
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

Sustainability, 2023, vol. 15, issue 19, 1-24

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.

Keywords: RESs (renewable energy systems); GS (Gauss–Seidel); NR (Newton–Raphson); LF (load flow); KPIs (key performance indicators) (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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