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Blackout

About: Blackout is a research topic. Over the lifetime, 2088 publications have been published within this topic receiving 30433 citations.


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01 Jan 2013
TL;DR: In this article, a hybridized Continuation-Repeated power flow structure for ATC computation that provides a good approximate alternative to determine the maximum loadability is presented. But, the authors did not consider the effect of line outage on ATC values.
Abstract: The radial topology of Nigeria Grid makes various part of the network prone to blackout and even system collapse on occurrences of line outage, hence the need for transmission network performance evaluation. Available Transfer Capability (ATC) is an index for transmission network performance. This paper presents a hybridized Continuation-Repeated power flow structure for ATC computation that provides a good approximate alternative to determine the maximum loadability. Single line outage (N – 1) criterion is used to simulate the effect of line outages on ATC values thereby identifying overloaded transmission facility.

7 citations

Proceedings ArticleDOI
06 Jul 2018
TL;DR: A proactive prediction model based on deep-belief networks that can predict imminent blackout is implemented and evaluated on a real smart grid dataset.
Abstract: The power outages of the last couple of years around the world introduce the indispensability of technological development to improve the traditional power grids. Early warnings of imminent failures represent one of the major required improvements. Costly blackouts throughout the world caused by the different severe incidents in traditional power grids have motivated researchers to diagnose and investigate previous blackouts and propose a prediction model that enables to prevent power outages. Although, in the new generation of power grid, the smart grid's (SG) real time data can be used from smart meters (SMs) and phasor measurement unit sensors (PMU) to prevent blackout, it demands high reliability and stability against power outages. This paper implements a proactive prediction model based on deep-belief networks that can predict imminent blackout. The proposed model is evaluated on a real smart grid dataset. Promising results are reported in the case study.

7 citations

Journal ArticleDOI
TL;DR: An optimal power allocation strategy is proposed to perform BS in the VSC-based multi-terminal direct current (VSC-MTDC) systems and the overall dynamic impacts can be significantly reduced, and the stability of AC grids and converters can be guaranteed.

7 citations

Journal ArticleDOI
TL;DR: A self-tuned proportional–integral integrated active power–voltage drooping and reactive power–frequency boosting control strategy for the precise power sharing among the distributed generators to handle the power deficit scenarios and protect the system from the blackout.
Abstract: Control over the voltage and the frequency instabilities in a grid-forming microgrid due to the power mismatch conditions become the point of concern. Therefore, the study implements a self-tuned proportional–integral integrated active power–voltage drooping and reactive power–frequency boosting control strategy for the precise power sharing among the distributed generators. Furthermore, to handle the power deficit scenarios and protect the system from the blackout, a system independent and priority-based adaptive three-stage load shedding strategy is proposed. The sensitivity of the strategy depends on the system inertia and is computed according to the varying absolute rate-of-change-of-frequency. The strategy incorporates the operation of a hybrid storage system comprised of battery and supercapacitor present in the microgrid, to provide a reliable power supply to the customers for a considerable time rather than a sudden load shedding. The effectiveness of the proposed strategies is investigated on a modified IEEE 13-bus system. The study is simulated in the time domain, on the podium of MATLAB 2015b.

7 citations

Journal ArticleDOI
TL;DR: In this paper , the authors propose a restoration procedure that adopts self-organizing inverters as BS units and achieves distribution system restoration in the context of dynamic microgrids (MGs), i.e., MGs with dynamic and adjustable boundaries nested in the distribution systems.
Abstract: The resilience of distribution systems has been challenged by power outages caused by natural disasters, which calls for novel solutions to system restoration. However, the existing black-start (BS) techniques are mainly developed at the transmission level. This problem can be resolved by adopting dynamic microgrids (MGs), i.e., MGs with dynamic and adjustable boundaries nested in the distribution systems. This article proposes a restoration procedure that adopts self-organizing inverters as BS units and achieves distribution system restoration in the context of dynamic MGs. The proposed restoration procedure is structured as a two-stage approach and designed to restore a complete blackout distribution system to the state where the system is ready for seamless main grid reconnection. A framework of dynamic MG operation is developed, which improves the self-healing capability of off-grid distribution systems with automatic sectionalization and flexible reconfiguration. A sequence of actions during restoration is defined, along with distributed controllers designed with considerations of practical operating challenges. The proposed restoration procedure is validated on a 34-bus system using real-time hardware-in-the-loop simulation.

7 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023178
2022355
202191
2020120
2019121
2018132