Blackout

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

Analysis on Power System Self-Organized Criticality and Its Simulation Model

Abstract: Self-organized criticality is one of the most important theories used to explain the power law relationship between blackout size and blackout probability in power systems The study on power system self-organized criticality is still in its primary stage and the conception of power system self-organized criticality is not remarkably clear, thus further study on this problem is necessary Meanwhile, there is not a generally accepted simulation model that can be used as the standard model for the research of power system self-organized criticality In view of this situation, in this paper the authors compare the sand pile model with power system at first to give a novel analysis and explanation of this problem; then a model to simulate power system self-organized criticality is proposed; finally the simulation of a certain actual power network in China is conducted by the proposed model and the power law that characterizes power system self-organized criticality is obtained, at the same time the parameters to determine power system self-organized criticality are analyzed

Summary of System Restoration Plan for the Pacific Northwest Power System

Abstract: This chapter contains sections titled: History and Characteristics of the BPA Grid Blackout Scenario Restoration of BPA Base System Power Grid Conclusion ]]>

Steady State Load Shedding to Prevent Blackout in the Power System using Artificial Bee Colony Algorithm

Abstract: Real and reactive power deficiencies due to generation and overload contingencies in a power system may decline the system frequency and the system voltage. During these contingencies cascaded failures may occur which will lead to complete blackout of certain parts of the power system. Under such situations load shedding is considered as an emergency control action that is necessary to prevent a blackout in the power system by relieving overload in some parts of the system. The aim of this paper is to minimize the amount of load shed during generation and overload contingencies using a new meta-heuristic optimization algorithm known as artificial bee colony algorithm (ABC). The optimal solution for the problem of steady state load shedding is done by taking squares of the difference between the connected and supplied real and reactive power. The supplied active and reactive powers are treated as dependent variables modeled as functions of bus voltages only. The proposed algorithm is tested on IEEE 14, 30, 57, and 118 bus test systems. The applicability of the proposed method is demonstrated by comparison with the other conventional methods reported earlier in terms of solution quality and convergence properties. The comparison shows that the proposed algorithm gives better solutions and can be recommended as one of the optimization algorithms that can be used for optimal load shedding.

Service Restoration Strategy for Blackout of Distribution System With Distributed Generators

Abstract: An agent-environment-rule(AER) model was proposed to solve the service restoration problem in the event of a blackout in a power distribution network with distributed generators(DGs).Various factors during service restoration of distribution system with DGs were expressed as agents,environment and interactive rules.Integrating with multi-agent-system(MAS),the proposed model constructs a lattice-like environment,and all agents can sense their local environment and move in it.By use of asynchronous backtracking algorithm to solve the AER model,the position of each agent in solution space was continuously updated through the interaction among agents and mutual influence between environment and agents to make the agents possible to search optimal solution quickly.The example results indicate the superiority and effectiveness of the proposed method.