Multi-objective identification of critical distribution network assets in large interruption datasets

Marcelino, Carolina G.; Torres, Victor H. X.; Carvalho, Leonel; Matos, Manuel; Miranda, Vladimiro

doi:10.1016/j.ijepes.2021.107747

Cited by 6 publications

(1 citation statement)

References 32 publications

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“…Some well-known examples of such indexes are the System Average Interruption Duration Index (SAIDI) and System Average Interruption Frequency Index (SAIFI). Several approaches were already developed to support improvements in these index values and improve the network's overall performance, including identifying critical assets [1], approaches for reliability-centered maintenance [2], [3]. Among these initiatives, one can find switch placement, which is a practical optimization approach to enhance network reliability and reduce financial losses due to contingency conditions [4]- [7].…”

Section: Introductionmentioning

confidence: 99%

switch placement algorithm to reduce the impact of distribution network maintenance in continuity indexes

Keller,

Figueiredo,

Rigo

2024

IEEE Latin Am. Trans.

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The primary objective of power distribution utilities is to supply power to their consumers with minimal interruptions in both number and duration. These utilities are evaluated on continuity indices such as SAIDI and SAIFI. Sometimes, interruptions are needed to expand the network or for maintenance operations. This paper proposes an innovative method to evaluate the best place to install switches based on graph theory and centralities measurements to prevent disconnecting unnecessary customers in a maintenance event.The algorithm is demonstrated step-by-step with a simple example of a theoretical distribution network and then applied to the IEEE 123 bus test case for a comprehensive evaluation.

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Section: Introductionmentioning

confidence: 99%

switch placement algorithm to reduce the impact of distribution network maintenance in continuity indexes

Keller,

Figueiredo,

Rigo

2024

IEEE Latin Am. Trans.

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Cross-entropy boosted CRO-SL for optimal power flow in smart grids

et al. 2023

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Optimal power flow (OPF) is a complex, highly nonlinear, NP-hard optimization problem, in which the goal is to determine the optimal operational parameters of a power-related system (in many cases a type of smart or micro grid) which guarantee an economic and effective power dispatch. In recent years, a number of approaches based on metaheuristics algorithms have been proposed to solve OPF problems. In this paper, we propose the use of the Cross-Entropy (CE) method as a first step depth search operator to assist population-based evolutionary methods in the framework of an OPF problem. Specifically, a new variant of the Coral Reefs Optimization with Substrate Layers algorithm boosted with CE method (CE+CRO-SL) is presented in this work. We have adopted the IEEE 57-Bus System as a test scenario which, by default, has seven thermal generators for power production for the grid. We have modified this system by replacing three thermal generators with renewable source generators, in order to consider a smart grid approach with renewable energy production. The performance of CE+CRO-SL in this particular case study scenario has been compared with that of well-known techniques such as population’s methods CMA-ES and EPSO (both boosted with CE). The results obtained indicate that CE+CRO-SL showed a superior performance than the alternative techniques in terms of efficiency and accuracy. This is justified by its greater exploration capacity, since it has internally operations coming from different heuristics, thus surpassing the performance of classic methods. Moreover, in a projection analysis, the CE+CRO-SL provides a profit of millions of dollars per month in all cases tested considering the modified version of the IEEE 57-Bus smart grid system.

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A multi-objective bi-level optimization framework for dynamic maintenance planning of active distribution networks in the presence of energy storage systems

Matin

Mansouri

Bayat

et al. 2022

Journal of Energy Storage

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Multi-objective identification of critical distribution network assets in large interruption datasets

Cited by 6 publications

References 32 publications

switch placement algorithm to reduce the impact of distribution network maintenance in continuity indexes

switch placement algorithm to reduce the impact of distribution network maintenance in continuity indexes

Cross-entropy boosted CRO-SL for optimal power flow in smart grids

A multi-objective bi-level optimization framework for dynamic maintenance planning of active distribution networks in the presence of energy storage systems

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