A Multiobjective and Multicriteria Approach for Optimal Placement of Protective Devices and Switches in Distribution Networks

Costa, Miguel Monteiro; Bessani, Michel; Batista, Lucas S.

doi:10.1109/tpwrd.2021.3120968

Cited by 5 publications

(4 citation statements)

References 37 publications

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“…As noted previously, the reliability-related costs are determined according to the values of SAIDI, SAIFI, and EENS, which are calculated in ( 6), (7), and (8), respectively.…”

Section: B Network Reliability Evaluationmentioning

confidence: 99%

“…In previous decades, due to its complexity, optimal distribution system switch placement could only be solved by employing heuristic methods. For instance, researchers employed graphbased, ant colony optimization, particle swarm optimization, and non-dominated sorting genetic algorithm II (NSGA-II) methods to solve this problem in [4]- [7], respectively. Metaheuristic optimization algorithms were also utilized in [8], [9] to solve the optimal planning of protection and sectionalization equipment considering their malfunctioning.…”

Section: Introductionmentioning

confidence: 99%

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On the MILP Modeling of Remote-Controlled Switch and Field Circuit Breaker Malfunctions in Distribution System Switch Placement

et al. 2023

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Installing sectionalizing switches and field circuit breakers (FCBs) is vital for the fast restoration of customer electricity supply in distribution systems. However, the high capital costs of these protection devices, especially remote-controlled switches (RCSs) and FCBs, necessitate finding a trade-off between their costs and financial benefits. In this study, we propose a mixed-integer linear programming (MILP) model for optimizing switch planning in distribution systems. The proposed model determines the optimal allocation of manual switches, RCSs, and FCBs to minimize the costs of switches and the reliability-oriented expenses. While the former includes the costs of installing and operating the switches, the latter consists of the distribution company's lost revenue due to the undelivered energy and the regulatory incentives (or penalties) associated with service reliability indices. Two penalty-reward mechanisms are used to account for the financial benefits of increasing the service reliability through reducing the duration and frequency of interruptions. Proposing a novel reliability assessment model, we consider the possibility of malfunctions in both RCSs and FCBs in a highly efficient manner, which is a major contribution of this work. The proposed MILP model is applied to three test networks to validate its applicability and efficacy. The results show the importance of considering the possibility of switch malfunctions in distribution networks. INDEX TERMS Distribution system reliability, field circuit breaker, mixed-integer linear programming, optimal switch placement, remote-controlled switch.

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“…As noted previously, the reliability-related costs are determined according to the values of SAIDI, SAIFI, and EENS, which are calculated in ( 6), (7), and (8), respectively.…”

Section: B Network Reliability Evaluationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

On the MILP Modeling of Remote-Controlled Switch and Field Circuit Breaker Malfunctions in Distribution System Switch Placement

et al. 2023

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“…Different methods of optimization, such as Genetic Algorithms (GA) [8] [9], Binary Particle Swarm Optimization (BPSO), Modified Barnacles Mating Optimization (MBMO) [4], Ant Colony Optimization (ACO) [10], and others, are used to determine the optimal switch placement for the network. Those algorithms often solve np-complete problems where an exhaustive search is impossible in an acceptable time.…”

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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“…Several works consider the optimal allocation of protection and control devices without DG to improve the system reliability, [5]- [16]. In the last decade, the integration of DG units in distribution systems has grown exponentially, bringing several publications approaching the optimal allocation of protective devices in distribution networks with DG units [17]- [26].…”

Section: Introductionmentioning

confidence: 99%

A Multiobjective Approach for the Optimal Placement of Protection and Control Devices in Distribution Networks With Microgrids

et al. 2022

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Protection and control systems represent an essential part of distribution networks by ensuring the physical integrity of components and by improving system reliability. Protection devices isolate a portion of the network affected by a fault, while control devices reduce the number of de-energized loads by transferring loads to neighboring feeders. The integration of distributed generation has the potential to enhance the continuity of energy services through islanding operation during outage conditions. In this context, this study presents a multi-objective optimization approach for sizing and allocating protection and control devices in distribution networks with microgrids supplied by renewable energy sources. Reclosers, fuses, remote-controlled switches, and directional relays are considered in the formulation. Demand and generation uncertainties define the islanding operation and the load transfer possibilities. A non-dominated sorting genetic algorithm is applied in the solution of the allocation problem considering two conflicting objectives: cost of energy not supplied and equipment cost. The compromise programming is then performed to achieve the best solution from the Pareto front. The results show interesting setups for the protection system and viability of islanding operation.

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A Multiobjective and Multicriteria Approach for Optimal Placement of Protective Devices and Switches in Distribution Networks

Cited by 5 publications

References 37 publications

On the MILP Modeling of Remote-Controlled Switch and Field Circuit Breaker Malfunctions in Distribution System Switch Placement

On the MILP Modeling of Remote-Controlled Switch and Field Circuit Breaker Malfunctions in Distribution System Switch Placement

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

A Multiobjective Approach for the Optimal Placement of Protection and Control Devices in Distribution Networks With Microgrids

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