Autonomous Self-Healing in Smart Distribution Grids Using agent Systems

Shirazi, Elham; Jadid, Shahram

doi:10.1109/tii.2018.2889741

Cited by 47 publications

(32 citation statements)

References 34 publications

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“…The work in Shirazi and Jadid (2018) proposes a method build on agent perspective to provide restoration in intelligent distribution systems to the services involved in it. It was suggested the use of three agent types as the feeders, zone, and switching, which can provide both communication and cooperating, employing services provided to the customers for which the services are not working properly.…”

Section: Resultsmentioning

confidence: 99%

Uma Revisão Da Literatura Sobre Técnicas De Inteligência Artificial Aplicadas a Redes Inteligentes De Autocura/ a Review of Literature on Artificial Intelligence Techniques Applied to Self-Healing Smart Grids

Alves

Santos

Rodrigues

et al. 2020

BJD

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The development of self-healing in smart grids is an attractive research topic. The application of artificial intelligence (AI) techniques for this purpose has been studied recently, and works published in this area show the effectiveness of AI. This article's purpose is to conduct a literature review of research articles published in recent years between 2014 and 2019, with the main theme related directly to self-healing and AI. Compared to the total number of articles published in smart grids, there is a

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Section: Resultsmentioning

confidence: 99%

Uma Revisão Da Literatura Sobre Técnicas De Inteligência Artificial Aplicadas a Redes Inteligentes De Autocura/ a Review of Literature on Artificial Intelligence Techniques Applied to Self-Healing Smart Grids

Alves

Santos

Rodrigues

et al. 2020

BJD

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“…In addition, the BA updates its SOC after energizing the loads at time step t. (18) where Q cap is the energy capacity (Wh) of the ESS, and P…”

Section: Summary Of the Proposed Strategymentioning

confidence: 99%

“…4. The IEEE 33-bus system is modified with the following additional equipment: one BSDG at the substation, one SESS at node 2, four NBSDGs at nodes 18, 22, 25, and 33, and five tie-switches between pairs of nodes (8,21), (9,15), (12,22), (18,33), and (25,29). Initially, one MESS is assumed to be connected to the substation.…”

Section: A Simulation Setupmentioning

confidence: 99%

“…In this framework, load agents and feeder agents communicated and coordinated their actions for the desired service restoration. In [18], a three-layer service restoration framework was presented, which consisted of a data layer for monitoring and collecting data, an agent layer for scheduling the service restoration, and an output layer for performing the switching sequence. A new MAS-based framework based on a reinforcement learning method, namely the Q-learning algorithm, was proposed in [19].…”

Section: Introductionmentioning

confidence: 99%

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Multi-Agent Framework for Service Restoration in Distribution Systems With Distributed Generators and Static/Mobile Energy Storage Systems

Prabawa

Choi

2020

IEEE Access

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This paper presents a multi-agent system (MAS)-based approach for service restoration in a distribution system with distributed generators (DGs), static energy storage systems (SESSs), and mobile energy storage systems (MESSs). In comparison with existing MAS-based service restoration approaches in a two-layer cyber-physical architecture, excluding the dispatch of MESSs, we propose a three-layer framework that consists of cyber, physical, and transportation layers corresponding to the communication scheme for the MAS, electric distribution system, and transportation network for MESSs, respectively. In the proposed MAS framework, agents communicate and cooperate with each other for service restoration without violating system operation constraints by conducting the following actions: i) Kruskal-algorithmbased island reconfiguration (switch agent), ii) generation of switching sequence and dispatches of DGs and SESSs (DG and static battery agents) under monitored loading condition (load agent), and iii) dispatch of MESSs based on optimal road routing using the Dijkstra algorithm (mobile battery agent). Case studies were carried out in an IEEE 33-bus distribution system, and the results validated the performance of the proposed approach in terms of number of restored loads and restoration time steps, voltage level, and state of charge of the SESSs and MESSs with different numbers of fault lines and SESSs/MESS, and different extents of damaged roads.

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“…Self-healing schemes in a distribution system act after locating a fault to minimize the number of the out of service areas and to restore the maximum possible electrical power to the outage areas by changing the system configuration, while meeting the system and operational constraints [1,2]. A fully automated self-healing scheme can only apply within a smart grid [3] where remote controlled switching equipment are used for switching actions to; isolate fault, shed or restore loads, and change the system configuration [4]. In this paper, the proposed self-healing scheme for protection of a distribution system aims to automatically restore power after permanent faults.…”

Section: Introductionmentioning

confidence: 99%

Simulation of Self-Healing in Samawa City Distribution System

Kadham

Abdul-Wahhab²

2020

ETJ

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Self-healing is the ability of a distribution system to automatically restore power after permanent faults. This paper investigates the impact of outages in the distribution network elements following the occurrence of a fault. The work aims to restore maximum available power to consumers in the affected areas, after the isolation of faulted parts, by optimal procedure of switching operations. In this work, CYMDIST software was used for the simulation and analyses of a distribution network in Samawa City. MATLAB 2017b/Simulink was used to implement self-healing, through the simulation of smart protection system that is controlled remotely by a central control unit. The results of implementing the proposed self-healing system on Samawa a New 11 kV network show a maximum power restoration with a minimum number of switching operations that have been achieved after fault isolation without violating constraints.

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Autonomous Self-Healing in Smart Distribution Grids Using agent Systems

Cited by 47 publications

References 34 publications

Uma Revisão Da Literatura Sobre Técnicas De Inteligência Artificial Aplicadas a Redes Inteligentes De Autocura/ a Review of Literature on Artificial Intelligence Techniques Applied to Self-Healing Smart Grids

Uma Revisão Da Literatura Sobre Técnicas De Inteligência Artificial Aplicadas a Redes Inteligentes De Autocura/ a Review of Literature on Artificial Intelligence Techniques Applied to Self-Healing Smart Grids

Multi-Agent Framework for Service Restoration in Distribution Systems With Distributed Generators and Static/Mobile Energy Storage Systems

Simulation of Self-Healing in Samawa City Distribution System

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