Blackout

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

Early prediction of electric power system blackouts by temporal machine learning

Abstract: This paper discusses the application of machine learning to the design of power system blackout prediction criteria, using a large data base of random power system scenarios generated by Monte-Carlo simulation. Each scenario is described by temporal variables and sequences of events describing the dynamics of the system as it might be observed from realtime measurements. The aim is to exploit the data base in order to derive as simple as possible rules which would allow to detect an incipient blackout early enough to prevent or mitigate it. We propose a novel “temporal tree induction” algorithm in order to exploit temporal attributes and reach a compromise between degree of anticipation and selectivity of detection rules. Tests are carried out on a data base related to voltage collapse of an existing large scale power system.

A review of interruptible load participating in system reserve

Abstract: Economic compensation model and bidding clearing rules for interruptible load (IL) market are discussed and coordination between IL and generation-side reserve capacity for generation adequacy is emphasized. Inducement fashions for IL can be classified into discount price for electricity with certain blackout risk and high compensation for actual blackout occurrence. Both fashions can be operated under certain market rules. Their different economic properties leave some room for coordination. The paper also points out that the risk cost for generation inadequacy can be expressed by IL cost, which can be added into the objective function for the optimization.

Climate change and infrastructure risk: Indoor heat exposure during a concurrent heat wave and blackout event in Phoenix, Arizona

Abstract: Concurrent with a rapid rise in temperatures within US cities, the frequency of regional electric grid system failures is also rising in recent decades, resulting in a growing number of blackouts during periods of extreme heat. As mechanical air conditioning is a primary adaptive technology for managing rising temperatures in cities, we examine in this paper the impact of a prolonged blackout on heat exposure in residential structures during heat wave conditions, when air conditioning is most critical to human health. Our approach combines a regional climate modeling system with a building energy model to simulate how a concurrent heat wave and grid failure event impacts residential building-interior temperatures across Phoenix. Our results find a substantial increase in heat exposure across residential buildings in response to the loss of electrical power and mechanical cooling systems, with such an event potentially exposing more than one million residents to hazardous levels of heat. We further find the installation of cool roofing to measurably lower the risk of extreme heat exposure for residents of single-story structures.