Blackout

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

Research on service restoration for large area blackout of distribution system with distributed generators

Abstract: In terms of the distribution system with distributed generators (DGs) especially considering the operation of micro-grids (MGs) composed of DGs and loads, an AER (Agent-Environment-Rules) Constraint Satisfaction Problem (CSP) based model to solve the serve restoration problem in the event of a large-scale blackout in a power distribution network with DGs is proposed. All agents live in a lattice-like environment using multi-agent system, and they can not only sense their local environment but also move in it. The operation method of DGs in the process of service restoration for large area blackout of distribution system with DGs is researched for making use of the capacity of DGs sufficiently and reducing the blackout area. The asynchronous backtracking algorithm is used to solve the AER model based on CSP, the values of the agents can be exchanged, and they also can be updated by the influence between the agents and the environment. Finally, the example results indicate the feasibility of the proposed method.

Adaptive Blinder for Distance Relay Based on Sensitivity Factors

Abstract: This paper presents an adaptive distance relaying based on linear sensitivity factors. After clearance of fault, some transmission lines may be overloaded, which may cause cascading trips even total blackout. Adaptive algorithm is proposed to discriminate overload and fault, and block zone 3 trip caused by overload. Simulation of 6-bus test system indicates that the proposed backup relay algorithm works well.

Optimal deployment of power reserves across telecom critical infrastructures

Abstract: Two of the fundamental critical national infrastructures, upon which all others rely heavily, are power and telecom. Emergency services, banking and finance, water, agriculture and food, the chemical industry, defense industrial base, public health, and government cannot run effectively without them for any sustained period of time. As a key infrastructure, central to all others, understanding and modeling the risk due to communications disruption is a high priority in order to enhance public safety and infrastructure resiliency. This paper presents an optimization model for deploying backup generator power within next-generation networks, which are deployed in an increasingly mobile, multi-service, and multi-vendor environment. It also examines how power reserves might be optimally deployed in the mobile telecom infrastructure during power disruptions or blackouts, in order to minimize the cascading of disruptions in the power infrastructure into the wider communications infrastructure. We will describe an example development of these coupled infrastructure models and their application to the analysis of a power disruption or blackout across a metropolitan area.

Statistical estimation of cascading blackout size and propagation with branching processes

Abstract: Cascading blackouts on a bulk power transmission system are potentially catastrophic events with a large impact on society characterized by a sequence of line trips and load shed. One spectacular example of a cascading blackout is the August 2003 blackout in North America that affected 50 million people. We propose using branching processes to model the line tripping and load shed behavior of cascading blackouts. We use an estimator of the offspring mean, λ, to fit simulated blackout data to the branching process model. The parameter λ is a measure of cascade propagation, and helps us to estimate how likely large blackouts are. We compute distributions of blackout size and total number of line failures from the model and match them against simulated data. The match with simulated data suggests that the branching process model captures important aspects of the cascade phenomenon. The line failures and load shed in cascades are seen to have similar λ, meaning they propagate at the same rate. The branching process model is an efficient way to estimate line failure and load shed probability distributions.