Enhancing Distribution System Resilience With Proactive Islanding and RCS-Based Fast Fault Isolation and Service Restoration

Liu, Jiancun; Qin, Chao; Yu, Yixin

doi:10.1109/tsg.2019.2953716

Cited by 82 publications

(37 citation statements)

References 36 publications

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“…With this in mind, a few researchers have recently proposed some approaches to address this problem. In [38][39][40], a few comprehensive resilience-oriented FLISR methods were presented for service restoration under extreme event. Since the resilience-based FLISR methods are based on centralized and mathematical optimization, they have inherent defects in single point failure and self-healing speed.…”

Section: B Previous Researchmentioning

confidence: 99%

“…1) This paper presents an integrated multistage strategy on the basis of multistage characteristics of self-healing control, which decomposes the complex self-healing problem into simpler phased sub-problems and is collaboratively addressed by different algorithms at different stages, different from previously heuristic-rule-based [27,36], expert-rule-based [29], graph-theory-based [37], multistate-based [17][18][19] FDMAS or centralized service restoration methods and centralized resilience-based [38][39][40], DMAS-based [41][42][43] FLISR approaches.…”

Section: Contributionsmentioning

confidence: 99%

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Integrated Multistage Self-Healing in Smart Distribution Grids Using Decentralized Multiagent

Deng

Zhang

et al. 2021

IEEE Access

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Smart self-healing is perceived as a new alternative to ensure reliability and quality of power supply with the development of intelligent communication and control technology. On the basis of multistage characteristics of self-healing control, this article proposes an integrated multistage self-healing strategy for smart distribution systems using multiagent system (MAS), in which the complex self-healing problem is decomposed into phased sub-problems and is addressed by a unified control framework composed of different algorithms of stages. In the proposed control framework, decision-making agents vary with fault points and transition between self-healing stages making the technique fully decentralized. Stressing on the coordination between stage algorithms composed of communication self-adaption, fault tolerance, fault location and isolation, service restoration and state regression, the proposed strategy features well real-time control performance and relatively complete self-healing functions. Comprehensive simulation studies are carried out on the 84-bus and 22-bus distribution systems using MATLAB and JADE and the self-healing test platform respectively, and the test results have shown the effectiveness of the proposed strategy.

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Section: B Previous Researchmentioning

confidence: 99%

Section: Contributionsmentioning

confidence: 99%

Integrated Multistage Self-Healing in Smart Distribution Grids Using Decentralized Multiagent

Deng

Zhang

et al. 2021

IEEE Access

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“…One can recall all aspects of the model: contingency, fragility, restoration, and functionality; which are achieved in different ways. Works in [127,128,136,137,139] suggest using simulation-based frameworks to implement the quantification procedure, while [123,124,131,135,138] opt for complete analytical formulation. A good compromise is found in [122,125,126,132,133] with a hybrid analytical-simulation modeling, for example [133] where the functional model is experimental, and remaining contingency, fragility, and restoration models are posed as optimization problems.…”

Section: Performance Calculationmentioning

confidence: 99%

“…Authors in [134] assume a probability distribution for uncertain parameters in their resource allocation optimization problem (event parameters and resource allocation effectiveness parameters), by modifying the objective to the expected value of resilience. Likewise, in [135] a stochastic scenario-based optimization is adopted to cope with event uncertainties. However, for deep uncertain events, little to no data are available, turning interest toward robust optimization in both [132] for multi-stage and multi-zone natural hazard, and [138] for load and renewable generation.…”

Section: Uncertaintymentioning

confidence: 99%

“…This resulted in a total of 34 pre-selected papers, 10 of which were excluded from this survey as they were recognized after deep analysis to not entirely satisfy the two selection criteria. Thus, the final selection included 24 papers, 18 of them targeting distribution power network [122][123][124][125][126][127][128][129][130][131][132][133][134][135][136][137][138][139], and 6 for grid ICT network [140][141][142][143][144][145]. This set of works was evaluated based on proposed categorizations in Sections 3 and 4.…”

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confidence: 99%

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Resilience Quantification of Smart Distribution Networks—A Bird’s Eye View Perspective

et al. 2021

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The introduction of pervasive telecommunication devices, in the scope of smart grids (SGs), has accentuated interest in the distribution network, which integrates a huge portion of new grid applications. High impact low probability (HILP) events, such as natural hazards, manmade errors, and cyber-attacks, as well as the inherent fragility of the distribution grid have propelled the development of effective resilience tools and methods for the power distribution network (PDN) to avoid catastrophic infrastructural and economical losses. Multiple resilience evaluation frameworks are proposed in the literature in order to assist distribution system operators (DSOs) in managing their networks when faced with exogenous threats. We conduct detailed analysis of existing quantitative resilience studies in both electric and telecommunication domains of a PDN, focusing on event type, metrics, temporal phases, uncertainty, and critical load. Our work adopts the standpoint of a DSO, whose target is to identify feasible resilience assessment frameworks, which apply to pre-defined requirements in terms of resilience evaluation objectives (planning, reactive response, or simple assessment), time of evaluation, and available enhancement strategies. Finally, results and observations on selected works are presented, followed by discussion of identified challenges and opportunities.

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Electricity distribution grids resilience enhancement by network reconfiguration

Sabouhi

Doroudi

Fotuhi‐Firuzabad

et al. 2021

Int Trans Electr Energ Syst

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Electric power systems try to maximize resilience by various enhancement strategies as preventive and corrective actions against extreme weather events. This paper presents an operational network reconfiguration strategy during a high wind event to strengthen the resiliency of distribution networks. In the proposed resilience enhancement strategy, a bi-level optimization problem is formulated with two conflicting objectives (i) maximizing grid resilience and (ii) realize the primary objective by a minimum number of out-of-service lines (OSLs) switching operations. Furthermore, the algorithm considers the priority of loads, which is an important characteristic of modern distribution grids.The optimization problem is solved by the bi-level genetic algorithm (BiGA). The IEEE 33-bus network is utilized to demonstrate the application of the developed algorithm. The simulation results show a significant improvement in the resiliency of the tested network and reveal that switching operations can be used effectively to increase the resiliency of distribution networks against natural disasters. Furthermore, sensitivity analysis is performed to show the effectiveness of the proposed approach for finding the global optimal point. The proposed network reconfiguration strategy helps to prepare for severe weather conditions.

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Enhancing Distribution System Resilience With Proactive Islanding and RCS-Based Fast Fault Isolation and Service Restoration

Cited by 82 publications

References 36 publications

Integrated Multistage Self-Healing in Smart Distribution Grids Using Decentralized Multiagent

Integrated Multistage Self-Healing in Smart Distribution Grids Using Decentralized Multiagent

Resilience Quantification of Smart Distribution Networks—A Bird’s Eye View Perspective

Electricity distribution grids resilience enhancement by network reconfiguration

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