An event-driven approach for resources planning in distributed power generation systems

Maschio, Dierli M.R.; Duarte, Bruno; Lazzaretti, André E.; Lafay, Jean-Marc Stephane; Adzkiya, Dieky; Costa, Jean Patric da; Teixeira, Marcelo

doi:10.1016/j.ijepes.2021.107768

Cited by 4 publications

(1 citation statement)

References 23 publications

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“…Furthermore, in the last few years, studies have been adding innovations for different segments of energy systems, such as generation, transmission, and distribution of energy [3][4][5][6]. The need to make these systems more reliable, secure, and efficient has led different areas such as computing, telecommunications, automation, and electrical engineering to develop new solutions [7][8][9][10][11]. The new applications with these areas in electrical infrastructure gave rise to intelligent energy systems, called smart grids [12].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Switch Allocation Problems in Power Distribution Networks

Lângaro

Teixeira

Ribeiro

et al. 2022

JSAN

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This paper presents the implementation of the mono-objective Switch Allocation Problem (SAP) optimization model for electric power distribution networks, considering the equivalent interruption duration per consumer unit EIDCU and non-distributed energy END reliability indexes. We use the current summation algorithm to solve the power flow, and we employ an intelligent bee colony algorithm to solve the model. Two network topologies, one with 43 and another with 136 bars, adapted from the literature, are used to illustrate the solution. Results show a significant reduction in the financial cost of planning a power distribution network.

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