Increasing Distributed Generation Hosting Capacity Based on a Sequential Optimization Approach Using an Improved Salp Swarm Algorithm

Andrei M. Tudose, Dorian O. Sidea (), Irina I. Picioroaga, Nicolae Anton and Constantin Bulac
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Andrei M. Tudose: Department of Electrical Power Systems, National University of Science and Technology “Politehnica” Bucharest, 060042 Bucharest, Romania
Dorian O. Sidea: Department of Electrical Power Systems, National University of Science and Technology “Politehnica” Bucharest, 060042 Bucharest, Romania
Irina I. Picioroaga: Department of Electrical Power Systems, National University of Science and Technology “Politehnica” Bucharest, 060042 Bucharest, Romania
Nicolae Anton: Department of Electrical Power Systems, National University of Science and Technology “Politehnica” Bucharest, 060042 Bucharest, Romania
Constantin Bulac: Department of Electrical Power Systems, National University of Science and Technology “Politehnica” Bucharest, 060042 Bucharest, Romania

Mathematics, 2023, vol. 12, issue 1, 1-21

Abstract: In recent years, a pronounced transition to the exploitation of renewable energy sources has be observed worldwide, driven by current climate concerns and the scarcity of conventional fuels. However, this paradigm shift is accompanied by new challenges for existing power systems. Therefore, the hosting capacity must be exhaustively assessed in order to maximize the penetration of distributed generation while mitigating any adverse impact on the electrical grid in terms of voltage and the operational boundaries of the equipment. In this regard, multiple aspects must be addressed in order to maintain the proper functioning of the system following the new installations’ capacities. This paper introduces a sequential methodology designed to determine the maximum hosting capacity of a power system through the optimal allocation of both active and reactive power. To achieve this goal, an Improved Salp Swarm Algorithm is proposed, aiming to establish the appropriate operational planning of the power grid considering extensive distributed generation integration, while still ensuring a safe operation. The case study validates the relevance of the proposed model, demonstrating a successful enhancement of hosting capacity by 14.5% relative to standard models.

Keywords: distributed generation; hosting capacity; optimal reactive power dispatch; Salp Swarm Algorithm (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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