A Novel Decomposition Solution Approach for the Restoration Problem in Distribution Networks

Sekhavatmanesh, Hossein; Cherkaoui, Rachid

doi:10.1109/tpwrs.2020.2982502

Cited by 14 publications

(9 citation statements)

References 34 publications

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“…As a result, we recommended multi-agent systems (MAS) for power distribution networks' automated restoration system. The existing techniques used for evaluation are Hilbert-Huang Transform (HHT) and Convolutional Neural Network (CNN) (Sekhavatmanesh 2020), Modified Combinatorial Benders (MCB) (Guo 2019), and graph convolutional network (GCN) . Adaptability, Fault Detection and Localization, and Implementation cost are evaluation metrics.…”

Section: Performance Analysismentioning

confidence: 99%

The use of multi-agent systems in an automated restoration process for power distribution networks

Bhardwaja,

Bhuvana,

Doda

2023

Multidiscip. Sci. J.

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The capacity of future smart grids to automatically detect problems, isolate them, and restore service is a key feature. Traditional mathematical programming techniques and heuristic approaches become computationally highly expensive when used for the restoration issue, which is a comprehensive nonlinear optimization challenge. Distributed control must offer comfortable and safe power system operation and improve consumer supply quality. In this article, we suggest the multi-agent system (MAS) as the creative process that applies to the existing power distribution network. The MAS agents are installed in "Intelligent electronic devices (IEDs)" and interact with one another using open protocols from the "Foundation for Intelligent Physical Agents (FIAP)." A Java-based distribution system simulator was built to test how well MAS works. In-lab experiments were conducted with the simulator connected to the MAS. The test findings demonstrated that the MAS effectively restored healthy divides by changing them to their original configuration following a predetermined sequence, notwithstanding the system's operating limits. The suggested MAS has shown the efficacy of a distributed control method that uses in the absence of the technologies currently employed in IEDs for control and protection.

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Section: Performance Analysismentioning

confidence: 99%

The use of multi-agent systems in an automated restoration process for power distribution networks

Bhardwaja,

Bhuvana,

Doda

2023

Multidiscip. Sci. J.

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“…However, the installed switches are manually controlled and remotely controlled in the DN. e time needed for the operation of each manually controlled switch is much longer than the remotely controlled switch [3]. To enable prompt service restoration and dynamic topology analysis, we assume that the DN is equipped with enough remotely controlled switches.…”

Section: Network Optimizationmentioning

confidence: 99%

“…Due to the isolation of the faulted section, the healthy area downstream to the fault place will get disconnected and remain unsupplied. e aim of the SR plan is to restore the healthy loads in the out-of-service area [3]. In order to achieve this goal, one action is to transfer the deenergized loads to healthy neighboring feeders by altering the open/close status of sectionalizing and tie switches [4].…”

Section: Introductionmentioning

confidence: 99%

A Hierarchical Restoration Mechanism for Distribution Networks Considering Multiple Faults

Wen

Jiang

et al. 2022

Mathematical Problems in Engineering

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Service restoration of distribution networks in contingency situations is one of the highly investigated and challenging problems. In the conventional service restoration method, utilities reconfigure the topological structure of the distribution networks to supply the consumer load demands. However, the advancements in renewable distributed generations define a new dimension for developing service restoration methodologies. This paper proposes a hierarchical service restoration mechanism for distribution networks in the presence of distributed generations and multiple faults. The service restoration problem is modeled as a complicated and hierarchical program. The objectives are to achieve the maximization of loads restored with minimization of switch operations while simultaneously satisfying grid operational constraints and ensuring a radial operation configuration. We present the service restoration mechanism, which includes the dynamic topology analysis, matching isolated islands with renewable distributed generations, network reconfiguration, and network optimization. A new code scheme that avoids feasible solutions is applied to generate candidate solutions to reduce the computational burden. We evaluate the proposed mechanism on the IEEE 33 and 69 systems and report on the collected results under multitype fault cases. The results demonstrate the importance of the available renewable distributed generations in the proposed mechanism. Moreover, simulation results verify that the proposed mechanism can obtain reasonable service restoration plans to achieve the maximization of loads restored and minimization of switching operations under different faults.

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“…Moreover, Te output power of RDGs exhibits fuctuations and intermittency because it depends on input parameters, which places high requirements on the adaptability and control of ADNs. For example, the loss of a single 400-kilovolt transmission line in the India blackout causes sizeable voltage deviations and around 300 million customers without power [8]. Various control actions have been performed to tackle the uncertainties in ADNs, such as network optimization, controllable loads, etc., [9,10].…”

Section: Introductionmentioning

confidence: 99%

An Optimization Method of Active Distribution Network Considering Time Variations in Load and Renewable Distributed Generation

Wen

Lin

et al. 2022

International Transactions on Electrical Energy Systems

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Network optimization is one of an effective ways to enhance the performance of an active distribution network (ADN). Aiming to improve the operation and power quality of the ADN considering time variations in load and renewable distributed generation (RDG) power, a multi-time period optimization model and its dynamic solution method are proposed. Considering the real time load demand and power generation variation of RDG versus input parameters like wind speed and solar irradiance, the time variation models of load and RDG power output are developed. The minimum power loss and maximum absorption of RDG power are served as the optimization indexes to construct the dynamic muti-time period optimization model. A hybrid particle swarm optimization (HPSO) algorithm is presented based on integer coding and random coding technique, which can find the most satisfactory solutions for the proposed dynamic model. Considering the time variation of load and RDG power of ADN, the optimal network structure and RDG allocation scheme at any time interval are determined by analyzing the obtained solutions. Additionally, two ADNs with time variation in load and RDG are tested to verify the effectiveness and superiority of the proposed dynamic optimization model and HPSO algorithm. The simulation results show that the proposed method can improve the operation performance and RDG optimal utilization of the ADNs through muti-time period dynamic optimization.

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A Novel Decomposition Solution Approach for the Restoration Problem in Distribution Networks

Cited by 14 publications

References 34 publications

The use of multi-agent systems in an automated restoration process for power distribution networks

The use of multi-agent systems in an automated restoration process for power distribution networks

A Hierarchical Restoration Mechanism for Distribution Networks Considering Multiple Faults

An Optimization Method of Active Distribution Network Considering Time Variations in Load and Renewable Distributed Generation

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