Stochastic indexes for power distribution systems resilience analysis

Fanucchi, Rodrigo Z.; Bessani, Michel; Camillo, Marcos H. M.; Soares, Anderson da Silva; London, João Bosco Augusto; Desuó, Luiz; Maciel, Carlos Dias

doi:10.1049/iet-gtd.2018.6667

Cited by 12 publications

(12 citation statements)

References 29 publications

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“…This high‐speed monitoring avoids data reporting lag and enables overall better visibility to record grid events 7 . Application of synchrophasor in enhancing power system resilience enables easy and fast transfer of vital data that falls into three major categories (1) real‐time monitoring, (2) disruption mitigation, and (3) non‐network centric framework 27,28 . Resilience framework combined with synchrophasor detects mismatch of network parameters.…”

Section: Evolution Of Resilience In Distribution System Based On Synchrophasor Technologymentioning

confidence: 99%

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Novel trends in resilience assessment of a distribution system using synchrophasor application: A literature review

Sonal

Ghosh

2021

Int Trans Electr Energ Syst

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Summary The gradual sprawl of power system toward smart grid and enhanced integration of distributed energy resources at the distribution end is transforming the conventional distribution system and is eventually making it self‐sustained. The distribution system is thus continuously evolving to prepare itself for any unforeseen natural, man‐made, and complex events. These events may impact the distribution system as high‐impact low‐frequency (HILF) scenarios. The high intensity and widespread damage of the power system due to HILF scenarios necessitate resilience. Resilience analysis aims to identify these region‐specific vulnerabilities of the electricity network and implement appropriate methods to quickly restore the system to its predisturbance state. Further to enhance the network visibility and situational awareness, integration of synchrophasor to resilience is significant. Therefore, synchrophasor technology integrated with resilience provides online wide area visibility of the distribution system. Using synchrophasor for resilience assessment propels an agile network for coordinating accurate and timely analysis of the system parameters. Therefore, understanding the concept of resilience, its evolution, detailed overview, synchrophasor‐based resilience (SBR) methods as well as its applications are necessary. This article outlines the key points of the synchrophasor technology based resilience technique, its significance, and lays a foundation for continuing research in this area. It offers detailed insight into the comprehensive review of this evolving concept. The article majorly focuses on all the aspects of SBR, its necessity in performance evaluation, synchrophasor measurement based resilience enhancement methods, and application of different SBR techniques in the distribution system. A detailed comparative analysis of SBR features, sample efficiency, result accuracy, merits, and demerits based on available literature is provided. Finally, future perspectives are discussed for implementing resilience assessment using synchrophasor technology in the distribution system.

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Section: Evolution Of Resilience In Distribution System Based On Synchrophasor Technologymentioning

confidence: 99%

“…Table 1 Power system severity details due to HILF events worldwide (2010‐2020) 4,27 . The sprawl of conventional distribution system with huge integration of DERs has increased its self sustenancy and also made it more complex.…”

Section: Introductionmentioning

confidence: 99%

Novel trends in resilience assessment of a distribution system using synchrophasor application: A literature review

Sonal

Ghosh

2021

Int Trans Electr Energ Syst

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“…In ERS, critical loads must be recovered by responsive strategies, such as network reconfiguration, demand-side management and microgrid (MG) formation [14][15][16]. In RS, the repair crews are dispatched to repair the damaged components, and the distribution system can be restored to normal conditions [17,18]. It can be observed that the planning schemes are the foundation of emergency response strategies, while effective strategies can enhance the efficiency of the planning resources, resulting in investment reduction.…”

Section: Introductionmentioning

confidence: 99%

A three‐stage stochastic planning model for enhancing the resilience of distribution systems with microgrid formation strategy

Ghasemi

Kazemi

Mazza

et al. 2021

IET Generation Trans & Dist

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In recent years, severe outages caused by natural disasters such as hurricanes have highlighted the importance of boosting the resilience level of distribution systems. However, due to the uncertain characteristics of natural disasters and loads, there exists a research gap in the selection of optimal planning strategies coupled with provisional microgrid (MG) formation. For this purpose, this study proposes a novel three-stage stochastic planning model considering the planning step and emergency response step. In the first stage, the decisions on line hardening and Distributed Generation (DG) placement are made with the aim of maximising the distribution system resilience. Then, in the second stage, the line outage uncertainty is imposed via the given scenarios to form the provisional MGs based on a master-slave control technique. In addition, the non-anticipativity constraints are presented to guarantee that the MG formation decision is based on the line damage uncertainty. Last, with the realisation of the load demand, the cost of load shedding in each provisional MG is minimised based on a demand-side management program. The proposed method can consider the step-by-step uncertainty realisation that is near to the reality in MG formation strategy. Two standard distribution systems are utilised to validate the correctness and effectiveness of the presented model. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…These changes necessitate enhancing the real‐time monitoring and control actions of the distribution system [2]. The network states are required to be monitored and accurately estimated as they are fed as input to different control functions such as network reconfiguration, volt‐var control, restoration and so on [3]. The best estimate of states is obtained using state estimation (SE), which filters the errors from raw measurement data.…”

Section: Introductionmentioning

confidence: 99%

Multi‐objective hybrid decomposition and local dominance based meter placement for distribution system state estimation

Prasad

Kumar

2020

IET Generation, Transmission & Distribution

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Stochastic indexes for power distribution systems resilience analysis

Cited by 12 publications

References 29 publications

Novel trends in resilience assessment of a distribution system using synchrophasor application: A literature review

Novel trends in resilience assessment of a distribution system using synchrophasor application: A literature review

A three‐stage stochastic planning model for enhancing the resilience of distribution systems with microgrid formation strategy

Multi‐objective hybrid decomposition and local dominance based meter placement for distribution system state estimation

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