Planejamento de soft open points em redes de distribuição utilizando fluxo de potência cônico de segunda ordem

Abstract

This work investigates the application of the second-order cone programming (SOCP)- based power flow formulation to the planning problem of soft open points (SOPs) in electric power distribution systems (SDEs). The main objective is to analyze the performance of the conic model in comparison with the traditional nonlinear formulation, aiming to validate the solutions obtained from the modifications introduced by the convex relaxations inherent to the SOCP formulation, as well as to identify potential limitations. To obtain the results, objective functions relevant to power system planning were considered, with particular emphasis on the minimization of renewable generation curtailment, an increasingly frequent issue in networks with high penetration of distributed energy resources. The analysis was carried out using two distinct approaches: (i) individual replacement of interconnection switches in SDEs with SOPs, allowing the evaluation of the impact of these devices on system operation; and (ii) optimized allocation of SOPs using the Multi-Objective Grey Wolf Optimizer (MOGWO) algorithm, aiming to investigate the trade-off between reducing electrical losses and minimizing renewable generation curtailment. The results obtained for the 33- and 94-bus systems make it possible to assess the capability of the SOCP formulation to adequately represent the planning problem, enabling the application of more widely available and simpler convex optimization tools in the context of SDEs.