Solving Single- and Multi-Objective Optimal Reactive Power Dispatch Problems Using an Improved Salp Swarm Algorithm

Andrei M. Tudose, Irina I. Picioroaga, Dorian O. Sidea and Constantin Bulac
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Andrei M. Tudose: Department of Electrical Power Systems, University “Politehnica” of Bucharest, 060042 Bucharest, Romania
Irina I. Picioroaga: Department of Electrical Power Systems, University “Politehnica” of Bucharest, 060042 Bucharest, Romania
Dorian O. Sidea: Department of Electrical Power Systems, University “Politehnica” of Bucharest, 060042 Bucharest, Romania
Constantin Bulac: Department of Electrical Power Systems, University “Politehnica” of Bucharest, 060042 Bucharest, Romania

Energies, 2021, vol. 14, issue 5, 1-20

Abstract: The optimal reactive power dispatch (ORPD) problem represents a fundamental concern in the efficient and reliable operation of power systems, based on the proper coordination of numerous devices. Therefore, the ORPD calculation is an elaborate nonlinear optimization problem that requires highly performing computational algorithms to identify the optimal solution. In this paper, the potential of metaheuristic methods is explored for solving complex optimization problems specific to power systems. In this regard, an improved salp swarm algorithm is proposed to solve the ORPD problem for the IEEE-14 and IEEE-30 bus systems, by approaching the reactive power planning as both a single- and a multi- objective problem and aiming at minimizing the real power losses and the bus voltage deviations. Multiple comparison studies are conducted based on the obtained results to assess the proposed approach performance with respect to other state-of-the-art techniques. In all cases, the results demonstrate the potential of the developed method and reflect its effectiveness in solving challenging problems.

Keywords: optimal reactive power dispatch; power loss minimization; voltage deviation; salp swarm algorithm; current mismatch Newton-Raphson (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

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