A Method to Improve Distribution System Reliability Using Available Mobile Generators

Rodrigues, Fábio Miranda; Araujo, Leandro Ramos de; Penido, Débora Rosana Ribeiro

doi:10.1109/jsyst.2020.3015154

Cited by 7 publications

(6 citation statements)

References 24 publications

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“…There is an extensive literature on solving the DSR problem for the power distribution systems. Earlier methods for DSR focused on designing expert systems, including heuristic search methods and the use of soft-computing algorithms [8][9][10][11][12][13][14][15]. The use of feeder reconfiguration algorithms to restore the system for local outages has been well-studied in the literature, where DSR is normally modelled as a combinatorial optimization problem with operational and topological constraints [16][17][18].…”

Section: Literature Reviewmentioning

confidence: 99%

“…We use the polygon-based linearization approach proposed in [55] to linearize (11) by a set of linear constraints defined in (12). We use (12) instead of ( 11…”

Section: Network Operating Constraintsmentioning

confidence: 99%

“…The actual thermal limit constraint is specified using the quadratic equation in (11). We use the polygon-based linearization approach proposed in [55] to linearize (11) by a set of linear constraints defined in (12). We use (12) instead of (11) in the MILP model.…”

Section: Network Operating Constraintsmentioning

confidence: 99%

“…We use the polygon-based linearization approach proposed in [55] to linearize (11) by a set of linear constraints defined in (12). We use (12) instead of (11) in the MILP model. � For reconfiguration purpose, it is required to force the line flow in open switches to be zero.…”

Section: Network Operating Constraintsmentioning

confidence: 99%

See 3 more Smart Citations

A two‐stage service restoration method for electric power distribution systems

Poudel

Dubey

2021

IET Smart Grid

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Improving the reliability of power distribution systems is critically important for both utilities and customers. This calls for an efficient service restoration module within a distribution management system to support the implementation of self-healing smart grid networks. Although the emerging smart grid technologies, including distributed generators (DGs) and remote-controlled switches, enhance the self-healing capability and allow faster recovery, they still pose additional complexity to the service restoration problem, especially under cold load pickup (CLPU) conditions. Herein, a novel two-stage restoration framework is proposed to generate a restoration solutions with a sequence of control actions. The first stage generates a restoration plan that supports both the traditional service restoration using feeder reconfiguration and the grid-forming DGassisted intentional islanding methods. The second stage generates an optimal sequence of switching operations to bring the outaged system quickly to the final restored configuration. The problem is formulated as a mixed-integer linear program that incorporates system connectivity, operating constraints, and the CLPU models. It is demonstrated that on using a multi-feeder test case, the proposed framework is effective in utilizing all available resources to quickly restore the service and generate an optimal sequence of switching actions to be used by the operator to reach the desired optimal configuration.This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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Section: Literature Reviewmentioning

confidence: 99%

“…We use the polygon-based linearization approach proposed in [55] to linearize (11) by a set of linear constraints defined in (12). We use (12) instead of ( 11…”

Section: Network Operating Constraintsmentioning

confidence: 99%

Section: Network Operating Constraintsmentioning

confidence: 99%

Section: Network Operating Constraintsmentioning

confidence: 99%

See 2 more Smart Citations

A two‐stage service restoration method for electric power distribution systems

Poudel

Dubey

2021

IET Smart Grid

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“…Short-term and long-term uncertainties resulting from the presence of solar parks and wind energy in the deregulated power system network are addressed through strategic planning in power system planning [4]. When integrating wind energy and solar energy into distribution companies, a well-defined distribution generator allocation scheme is crucial [5]. The integration can be aligned with adaptive relay settings and system reliability.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy logic-based approach for optimal allocation of distributed generation in a restructured power system

Lindsay,

Emimal

2024

IJAPE

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Fuzzy logic emerges as a powerful tool for optimizing power flow solutions, particularly in the context of deregulated power systems. By employing fuzzy logic controls, the ideal placement of distribution generators (DGs) can be determined, ensuring the reliability indices are identified through optimal power flow solutions and fuzzy logic controllers to maintain system feasibility. In a deregulated power system, strategic placement of distribution generator units plays a crucial role in minimizing power loss and enhancing overall system performance by mitigating fluctuations. To identify areas of weakness, especially within transmission companies, accessing optimal power flow algorithms becomes essential in a deregulated power system. Both transmission and distribution networks should be appropriately adjusted to alleviate congestion within the respective companies. The aggregator must assess system performance, utilizing data obtained from distribution and transmission companies within the deregulated power system.

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Two-stage mobile emergency generator dispatch for sequential service restoration of microgrids in extreme conditions

Cai

Xie

et al. 2023

International Journal of Electrical Power & Energy Systems

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A Method to Improve Distribution System Reliability Using Available Mobile Generators

Cited by 7 publications

References 24 publications

A two‐stage service restoration method for electric power distribution systems

A two‐stage service restoration method for electric power distribution systems

Fuzzy logic-based approach for optimal allocation of distributed generation in a restructured power system

Two-stage mobile emergency generator dispatch for sequential service restoration of microgrids in extreme conditions

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