Topic
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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11 Apr 2011
TL;DR: The 2003 North American blackout demonstrated the importance of power swing detection, blocking and tripping for the development of a wide area disturbance into a system-wide blackout as discussed by the authors, and demonstrated the need for a power swing detector and a power tripping system.
Abstract: The 2003 North American blackout demonstrated the importance of power swing detection, blocking and tripping for the development of a wide area disturbance into a system-wide blackout.
6 citations
01 Oct 2006
TL;DR: In this article, a wide area backup protection scheme based on WAMS is presented to identify flow transferring in a power system by analyzing the defects of traditional backup protections, a new concept of Flow Transferring Relativity Factor (FTRF) is proposed to estimate the flow distribution after flow transferring occurs; and the method of calculating FTRF matrix on-line is also deduced.
Abstract: When relays trip a faulted line in power system, the flow on the faulted line will be transferred to the other lines. Those lines might be overloaded and then cascading tripped by the backup relays, which worsen the system state and even cause blackout. Generally, these kind of cascading trips are the origins of a lot of well-known blackouts. In this paper, by analyzing the defects of traditional backup protections, a new wide area backup protection scheme based on WAMS is presented to identify flow transferring. A new concept of Flow Transferring Relativity Factor (FTRF) is proposed to estimate the flow distribution after flow transferring occurs; and the method of calculating FTRF matrix on-line is also deduced. The simulation of 10-unit and 39-bus New England network shows that the proposed wide area backup protection scheme can identify flow transferring successfully and hence be superior to the traditional backup protection.
6 citations
13 Dec 2010
TL;DR: A new DSA method using Extreme Learning Machine (ELM) is proposed, which has significantly improved the learning speed and can therefore provide earlier detection of the risk of blackout and compared with other state-of-the-art methods in terms of computation time and accuracy.
Abstract: The lack of real-time tools capable of detecting risk of blackouts is one of the contribution factors to the recent large blackouts occurred around the world. In terms of dynamic security assessment (DSA), artificial intelligence and data mining techniques have been widely applied to facilitate very fast DSA for enhanced situational awareness of insecurity. However, many of the current state-of-the-art models usually suffer from excessive training time and complex parameters tuning problems, leading to their inefficiency for real-time implementation. In this paper, a new DSA method using Extreme Learning Machine (ELM) is proposed, which has significantly improved the learning speed and can therefore provide earlier detection of the risk of blackout. The proposed method is examined on the New England 39-bus test system, and compared with other state-of-the-art methods in terms of computation time and accuracy. The simulation results show that the ELM-based DSA method possesses superior computation speed and acceptably high accuracy.
6 citations
01 Oct 2017
TL;DR: Results proved that the developed algorithm with the controlled delivery grid (CDG) have the potential to substantially increase the resilience of power systems.
Abstract: Resilience of the power grid is most challenged at power blackouts since the issues that led to it may not be fully resolved by the time the power is back. In this paper, a Real-Time Energy Management Algorithm (RTEMA) has been developed to increase the resilience of power systems based on the controlled delivery grid (CDG) concept. In a CDG, loads communicate with a central controller, periodically sending requests for power. The central controller runs an algorithm, based on which it may decide whether to grant the requested energy fully or partially. Therefore, the CDG limits loads discretionary access to electric energy until all problems are resolved. The developed algorithm aims at granting most or all of the requested loads, while maintaining the health of the power system (i.e. the voltage at each bus, and the line loading are within acceptable limits), and minimizing the overall losses. An IEEE 30-bus standard Test Case, encountering a blackout condition, with high penetration of microgrids, has been used to test the developed algorithm. Results proved that the developed algorithm with the CDG have the potential to substantially increase the resilience of power systems.
6 citations
12 Jun 2018
TL;DR: This work formulate brownout based power distribution scheduling as an optimization problem and proposes a modified Dynamic Programming (DP) based optimal algorithm (suitable for moderate sized grids) that is 9 to 40 times faster than the conventional DP approach.
Abstract: Power shortage is a serious issue especially in third world countries, and is traditionally handled through rolling blackouts. Today, smart grids provide the opportunity of avoiding complete blackouts by converting them to brownouts, which allow selective provisioning of power supply to support essential loads while curtailing supply to less critical loads. In this work, we formulate brownout based power distribution scheduling as an optimization problem and propose a modified Dynamic Programming (DP) based optimal algorithm (suitable for moderate sized grids) that is 9 to 40 times faster than the conventional DP approach.
6 citations