Optimization Approach for Planning Soft Open Points in a MV-Distribution System to Maximize the Hosting Capacity

Ricardo de Oliveira (), Leonardo Willer de Oliveira and Edimar José de Oliveira
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Ricardo de Oliveira: Electrical Energy Department, Federal University of Juiz de Fora, Juiz de Fora 36036 900, Minas Gerais, Brazil
Leonardo Willer de Oliveira: Electrical Energy Department, Federal University of Juiz de Fora, Juiz de Fora 36036 900, Minas Gerais, Brazil
Edimar José de Oliveira: Electrical Energy Department, Federal University of Juiz de Fora, Juiz de Fora 36036 900, Minas Gerais, Brazil

Energies, 2023, vol. 16, issue 3, 1-22

Abstract: Distributed energy resources (DERs) based on renewable power, such as photovoltaic (PV), have been increasing worldwide. To support this growth, some technologies have been developed to increase the hosting capacity (HC) of distribution networks (DNs), such as the Soft Open Point (SOP), which can replace normally open switches in DNs with the advantage of allowing power and voltage control. The benefits of SOPs in terms of increasing distributed generation (DG) hosting capacity can be enhanced by network reconfiguration (NR). In this work, an optimization-based approach is proposed for placing SOP in DN with simultaneous NR; that is, the proposed algorithm consists of a promising alternative to previous works in the literature that deal with SOP placement and NR in an iteratively way or in a two-step procedure, considering that better results can be obtained by simultaneously handling both options, as shown in the introduced case studies. The optimization problem is modeled as nonlinear mixed-integer programming, and solved by a Multi-objective Artificial Immune System (MOAIS). The proposed algorithm is applied to a well-known medium-voltage (MV) test system that is widely used for the problem at hand, and the results show the effectiveness of the proposed approach to maximize the HC by optimizing the SOP installation site in the tested system. An important outcome is that the association of SOP planning and NR in a simultaneous manner tends to provide better quality solutions, where HC can overcome 400% for multiple SOPs. Another outcome is that the proposed MOAIS is able to provide good concurrent solutions to support the decision-making of the DN planner.

Keywords: maximum hosting capacity; soft open points; distributed generation; network reconfiguration; multi-objective optimization; artificial immune system (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: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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