Blackout

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

On the impact of cyberattacks on voltage control coordination by ReGen plants in smart grids

Abstract: Wind power and Solar photovoltaic plants are expected to jointly produce a lion's share of renewable energy generation capacity needed to reach the target of having green energy around the globe. In this respect, investigation of voltage stability support and coordinated control are crucial step stones towards a future resilient power system. The ability to provide online voltage stability support from Renewable Generation plants highly depends on the communication infrastructure that allows an exchange of information between different grid assets. Any attempt to attack this communication system can lead to an unstable grid and in worst case, a complete blackout. Therefore, this paper illustrates the impact of cyberattacks on the voltage control coordination between the renewable generation plants and the system operator in microgrid settings. More specifically, this work focuses to show how time-varying delays and manipulation of exchanged information caused by cyberattacks can affect the controller performance. Finally, security solutions are proposed that make voltage control coordination resilient against these cyberattacks without adding additional delays to the process.

Power system blackout model with transient constraints and its criticality

Abstract: Based on the self-organized criticality (SOC) theory and OTS (OPF with transient stability constraints), this paper proposes a new blackout model which contains three different time scale dynamics, that is, transient dynamics, power flow dynamics, and power system planning dynamics. Not only the cascading failure process but also the characteristics of SOC in power system evolution are investigated in this model. The stability of transient dynamics is evaluated by the transient stability margin index based on stability region boundary. By this index, transient stability constraints of differential-algebraic equations are converted to algebraic equations through sensitivities, thus proper preventive and emergency controls against random contingencies can be determined. On the basis of Value at Risk (VaR) and Conditional Value at Risk (CVaR), two blackout risk assessment indices are proposed in this paper. These two indices could quantitatively reflect the tail property of large-scale blackout distribution, reveal criticality characteristic, and compare the reliability of different systems or the same system under different operation conditions. Simulation results on New England system indicate that the proposed model can represent the dynamics in power system operation and construction, simulate cascading failure, and reveal SOC of power system evolution. Therefore, this model can be applied to assess the power system security level in multi-time scale, and formulate preventive and emergency control strategies. VaR and CVaR indices quantitatively describe the large-scale blackout distribution and reveal criticality characteristics. Copyright © 2010 John Wiley & Sons, Ltd.

An Improved OPA Model and the Evaluation of Blackout Risk

Abstract: An improved OPA model is proposed.This model contains two layers of iteration.The inner iteration which describes the fast dynamic of the system considers the influence of the power flow,the dispatching,the automation,and the relay protection,etc,while the outer one which describes the long term slow dynamics of the system considers the impact from power grid upgrade,network operation,planning and other factors.Furthermore,based on the VaR and CVaR,a method which could be used to evaluate the blackout risk of the power system quantitatively is presented.Appropriate preventive control measures are proposed as well.The effectiveness of the improved OPA model is verified by the simulation results concerning the northeast power grid of China.

System design and analysis for maximum consuming power control in smart house

Abstract: The efficiency, reliability, and stability of the smart house is expected to be significantly improved via home energy management system (HEMS), and smart meter (SM) is the most essential part of the energy system used to connect individual home appliance to the energy management system. As more and more home appliances and consumer electronics are deployed, the power consumption in smart house (1) tends to grow and (2) leads an increase in the risk of power blackout. In this paper, we propose a system design for controlling maximum consuming power and preventing home blackout. Proposed system consists of SM and home appliances, and we assume that SM will provide access to the power generated and consumed of the appliance, but with a time delay. Then, we analyze the resulting design to illustrate the impact of SM, for two important properties of the smart house, preventing power blackout and maintaining power system stability. We also present the simulation results which show the appliance power consumption behavior when the available power is limited. Simulation results also help us in applying stability test with stable/unstable and overshoot/non-overshoot regions. 