Blackout

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

Decreased resilience in power grids under dynamically induced vulnerabilities

Abstract: In this paper, a methodology inspired on bond and site percolation methods is applied to the estimation of the resilience against failures in power grids. Our approach includes vulnerability measures with both dynamical and structural foundations as an attempt to find more insights about the relationships between topology and dynamics in the second-order Kuramoto model on complex networks. As test cases for numerical simulations, we use the real-world topology of the Colombian power transmission system, as well as randomly generated networks with spatial embedding. It is observed that, by focusing the attacks on those dynamical vulnerabilities, the power grid becomes, in general, more prone to reach a state of total blackout, which in the case of node removal procedures it is conditioned by the homogeneity of power distribution in the network.

Cascading Failure Pattern Identification in Power Systems Based on Sequential Pattern Mining

Abstract: Cascading failure simulation data contain many fault chains (FCs), which can present cascading failure propagation paths. In cascading failure process, some component outages play dominating roles in propagation, indicating the common characteristics among different FCs. The commonness is embodied as combinations of components which are vulnerable to trip and cause serious blackout consequences. In addition, a component outage will increase the outage probability of relevant components and induce dependent outage in subsequent stage. Such relevance between two components can be called component outage causality. A combination of sequential component outages with outage causalities, which exists in different FCs and leads to system load loss, can be regarded as a cascading failure pattern (CFP). Statistical characteristics of FCs indicate that CFPs are variously distributed in different FCs, can present propagation paths and cause different impacts on system blackouts. This paper proposes a cascading failure pattern (CFP) identification method based on sequential pattern mining approach. The proposed method focuses on mining CFPs from massive FCs, quantifies the influence of CFP on system blackout and identifies the critical ones. The proposed method is verified with FCs data on IEEE 39-bus and 118-bus test systems.

Load Shedding Application within a Microgrid to Assure Its Dynamic Performance during Its Transition to the Islanded Mode of Operation

Abstract: This article presents the simulation results and analysis related to the response of the generators within a microgrid towards an accidental overload condition that will require some load shedding action A microgrid overload can occur due to various reasons ranging from poor load schedule, inadequate switching of circuits within the microgrid, outage of one or more generators inside the microgrid, illegal load connections by some low voltage consumers, etc It was observed that among the main factors that determine the survival of the microgrid during its transition from the grid connected mode to the islanded mode of operation are the size and type of the load connected (passive or dynamic load) as well as the length of time during which the unexpected load is connected Models of a speed and voltage regulators of a diesel generator, and important for coping with the overload conditions are provided in the paper The novelty of the work lies in the load shedding simulation and analysis of the specific generators studied herein, regarding that in many countries the microgrid technology is seen as an important alternative towards the ever increasing load demand and also to assist the system during periods of blackout

Statistical Analysis of Transmission Line Fault Tripping in State Grid Corporation of China in 2011—2013

Abstract: With the expansion of power grid and increase of power load,natural disasters and external force damages result in more and more transmission line trips. In order to prevent large-area blackout and improve the power system reliability,it's necessary to review continuously the grid fault characteristics and pattern. This paper summarizes and analyzes 66 k V and above AC / DC transmission line fault trips of State Grid Corporation of China from 2011 to 2013 using the annual operation data. The year of 2013 was taken as an example,and in-depth analysis has been conducted from the aspect of voltage levels,causes and so on. And the serious faults of power grid and " N-2" line failures in the same transmission channel were analyzed. At last,this paper discusses the existent main problems with typical cases,analyzed the weak points of the operating systems and proposes some suggestions.

Analysis of substation data for knowledge extraction

Abstract: The quantity and complexity of the data generated by microprocessor based relays have been enhanced beyond the immediate operational requirements. Following a serious incident, the amount of data received in a control center may be excessive and impossible to handle. The network operators have to interpret the data and rapidly apply the most appropriate remedial actions. Due to the emotional and psychological stress, they may not respond to the critical condition adequately. Any overlooks or mistakes can damage expensive power equipment or worse lead to a major blackout. Human operators are unlikely to obtain a thorough overview of an event when the amount of data is significant. What they require is useful information, not raw data. The idea is to enhance the capability of substation informatics and gain insight into the useful information (or knowledge) contained in a large and complex dataset. The paper investigates a new soft computing technique based on rough sets to extract knowledge from the large quantity of data captured by protection IEDs (intelligent electronic devices). The formulated methodology is generic and applicable to any types of transmission and distribution substations. Unlike device based data analysis such as the expert analysis of single disturbance files, the algorithm performs system wide analysis and is capable of handling data from multiple sources.