Blackout

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

An intelligent load and generation shedding procedure in an islanded network using a smart power management system

Abstract: In an islanded power network, the stability of the network is highly vulnerable. In these networks, serious disturbances can easily occur due to different events. Based on this events, imbalance between generation and load demand may lead to overloading or loss of generation cases. In order to overcome to these problems, Load Shedding (LS) is the emergency control action against voltage or frequency instability or even system blackout. An intelligent load shedding scheme and related logics are implemented on smart load management system (SLMS) in order to operate in islanded mode. The important functions of SLMS are Under Voltage Load Shedding (UVLS) and Under Frequency Load Shedding (UFLS) which can play key role in the power system stability. These functions are applied to PLCs (Programmable Logic Controllers) in real power plant. To simulate PLCs' logics and related scenarios, DIgSILENT Programing Language (DPL) is used. In order to investigate frequency/voltage stability in the islanded network, different scenarios (e.g. loss of generation in island mode, loss of grid connection in export/import mode) have been implemented in DIgSILENT PowerFactory software and confirm the efficiency of smart load management system after a severe contingency.

A hybrid artificial neural network for voltage security evaluation in a power system

Abstract: A majority of recent large-scale blackouts have been the consequence of instabilities characterized by sudden voltage collapse phenomena. This paper presents a method for voltage instability monitoring in a power system with a hybrid artificial neural network which consist of a multilayer perceptron and the Kohonen neural network. The proposed method has a couple of the following functions: the Kohonen network is used to classify the system operating state; the Kohonen output patterns are used as inputs to train of a multilayer perceptron for identification of alarm states that are dangerous for the system security. The approach is targeting a blackout prevention scheme; given that the blackout signal is captured before it can collapse the power system. The proposed method is realized in R and demonstrated the modified IEEE One Area RTS-96 power system.

A Kernel for Energy-Neutral Real-Time Systems with Mixed Criticalities

Abstract: Energy-neutral real-time systems harvest the entire energy they use from their environment, making it essential to treat energy as an equally important resource as time. As a result, such systems need to solve a number of problems that so far have not been addressed by traditional real-time systems. In particular, this includes the scheduling of tasks with both time and energy constraints, the monitoring of energy budgets, as well as the survival of blackout periods during which not enough energy is available to keep the system fully operational. In this paper, we address these issues presenting ENOS, an operating-system kernel for energy-neutral real-time systems. ENOS considers mixed time criticality levels for different energy criticality modes, which enables a decoupling of time and energy constraints during phases when one is considered less critical than the other. When switching the energy criticality mode, the system also changes the set of tasks to be executed and is therefore able to dynamically adapt its energy consumption depending on external conditions. By keeping track of the energy budget available, ENOS ensures that in case of a blackout the system state is safely stored to persistent memory, allowing operations to resume at a later point when enough energy is harvested again.

Monitoring of a large scale event in the Brazilian Power System by WAMS

Abstract: On November 10, 2009 a fault at the AC Itaipu transmission system led to a large scale blackout of the Brazilian Interconnected Power System (BIPS) with a 40% load loss. This event was recorded at outlet voltage by a synchronized phasor measurement prototype, the LVPMS, with PMUs (Phasor Measurement Units) installed in nine universities throughout Brazil. The recorded data contain relevant information on the events leading to the blackout and the BIPS restoration.