Number Of Power Outages Research Articles

Power supply disruptions deter electric vehicle adoption in cities in China

Electrification plays a crucial role in deep decarbonization. However, electrification and power infrastructure can cause mutual challenges. We use nationwide power outage and electric vehicle adoption data in China to provide empirical evidence on how power infrastructure failures can deter electrification. We find that when the number of power outages per district increases by 1 in a given month, the number of new electric vehicles adopted per month decreases by 0.99%. A doubling of power outages in one year on average across the nation can create a depressed adoption rate for up to a decade, implying a decline of more than $ 31.3 million per year in carbon reduction benefits from electric vehicle adoptions. This paper adds to the policy discussion of the costs of increased power outages due to extreme weather and natural disasters, and the urgency for policy to address this issue to facilitate wide adoption of electrification.

Effects of technical and security factors on grid electricity reliability: evidence from Uganda national electricity grid network

PurposeAn unreliable supply of grid electricity has a strong negative impact on industrial and commercial profitability as well as on household activities and government services that rely on electricity supply. This unreliable grid electricity could be a result of technical and security factors affecting the grid network. Therefore, this study aims to investigate the effects of technical and security factors on the transmission and distribution of grid electricity in Uganda.Design/methodology/approachThis study used the ordinary least squares (OLS) and autoregressive distributed lag (ARDL) models to examine the effects of technical and security factors on grid electricity reliability in Uganda. The study draws upon secondary time series monthly data sourced from the Uganda Electricity Transmission Company Limited (UETCL) government utility, which transmits electricity to both distributors and grid users. Additionally, data from Umeme Limited, the largest power distribution utility in Uganda, were incorporated into the analysis.FindingsThe findings revealed that technical faults, failed grid equipment, system overload and theft and vandalism affected grid electricity reliability in the transmission and distribution subsystems of the Ugandan power grid network. The effect was computed both in terms of frequency and duration of power outages. For instance, the number of power outages was 116 and 2,307 for transmission and distribution subsystems, respectively. In terms of duration, the power outages reported on average were 1,248 h and 5,826 h, respectively, for transmission and distribution subsystems.Originality/valueThis paper investigates the effects of technical and security factors on the transmission and distribution grid electricity reliability, specifically focusing on frequency and duration of power outages, in the Ugandan context. It combines both OLS and ARDL models for analysis and adopts the systems reliability theory in the area of grid electricity reliability research.

Methodology for Defining Priority Locations for Carrying out a Forest Inventory in Points with Conflict between Urban Tree Planting and the Electricity Grid

The Association of the Coal Industry of Santa Catarina (SATC), together with the State Electric Energy Company (CEEE/Equatorial) of the Brazilian state of Rio Grande do Sul (RS), seeks solutions to reduce conflicts between vegetation and electrical networks. This study was carried out having as an area for pilot the city of Porto Alegre, RS, where the distributor is responsible for the supply of electricity. The objective of this proposal was to define locations for carrying out a vegetation inventory through a predictive model. From satellite images, the existing vegetation in the distribution network was digitally extracted and, from this, five prioritization factors were associated via Hierarchical Process Analysis (HPA), resulting in an equation with consistency ratio where each factor is given a specific weight, resulting in a priority map. The final model is explained by 36% by the number of power outages, 21.5% by vegetation close to the grid, 21% by the affected population, 16.9% by the type of consumer, and 4.6% by the area from the neighborhood. This combination of factors resulted in ‘red zones’ in the pilot area, of which 100 points were chosen for carrying out a forest inventory, with an expected sampling significance of at least 97%. This makes it possible to develop a more assertive and spatially oriented forest inventory, and this model can be replicated in different urban centers.

Trends from 2008 to 2018 in Electricity-dependent Durable Medical Equipment Rentals and Sociodemographic Disparities.

Duration and number of power outages have increased over time, partly fueled by climate change, putting users of electricity-dependent durable medical equipment (hereafter, "durable medical equipment") at particular risk of adverse health outcomes. Given health disparities in the United States, we assessed trends in durable medical equipment rental prevalence and individual- and area-level sociodemographic inequalities. Using Kaiser Permanente South California electronic health record data, we identified durable medical equipment renters. We calculated annual prevalence of equipment rental and fit hierarchical generalized linear models with ZIP code random intercepts, stratified by rental of breast pumps or other equipment. 243,559 KPSC members rented durable medical equipment between 2008 and 2018. Rental prevalence increased over time across age, sex, racial-ethnic, and Medicaid categories, most by >100%. In adjusted analyses, Medicaid use was associated with increased prevalence and 108 (95% confidence interval [CI] = 99, 117) additional days of equipment rental during the study period. ZIP code-level sociodemographics were associated with increased prevalence of equipment rentals, for example, a 1 SD increase in percent unemployed and <high school diploma (prevalence ratio [PR] = 1.1, 95% CI = 1.1, 1.1 and PR = 1.1, 95% CI = 1.1, 1.2, respectively). Increased Supplemental Nutrition Assistance Program usage was associated with decreased breast pump rentals (PR = 0.83, 95% CI = 0.78, 0.88). We observed some socioeconomic disparities among a growing electricity-dependent population. Our findings are consistent with the hypothesis that reliable electricity access is increasingly required to meet the health needs of medically disadvantaged groups. See video abstract at http://links.lww.com/EDE/B793.

Analysis of the Climatic Factors Influence on the Overhead Transmission Lines Reliability

Abstract In this study, the influence of climatic factors on overhead transmission lines reliability in Russia was discussed. A review of the possible impacts of climate change is provided. Using the example of an electric grid company providing electricity in the Republic of Bashkortostan some reliability targets associated with the impacts of weather events were calculated: the number of power outages, the failure rate of 1 km of overhead transmission lines and the outage time. From the calculations it was determined that these targets are at a quite high level, in particular for 6-10 kV overhead transmission lines. The main contribution is made by climatic factors wind and lighting storm. A correlation analysis of the overhead transmission lines outages as a function of the number of wind cases with a certain speed has shown a strong relationship between these characteristics. According to predictive information, the number of power outages in the territory under consideration in 2025 will increase by 1.5 times.

Electric Power Grid Disruptions: A Time Series Examination

It is important to empirically assess both the viability and defensibility of the national electric grid, which is becoming more complex with increasingly interdependent components. Moreover, the nation's critical infrastructure would quickly become degraded with prolonged grid outages that impact electrical power production and distribution.This study examines time series data for 2,825 cases involving power outages in the U.S. over a 20‐year (246‐month) period, from January 2000 through June 2020. Data was acquired from the U.S. Department of Energy. Severe weather caused the majority of power outages recorded, but human factors accounted for a significant number of incidents. We found that 46% of electrical power outage causes relate to natural or weather‐related events, 28% to grid system operations or failures, and 25% to human interactions. Further, we found that cyber‐attack data was less forthcoming than other types of grid outage reporting. Based on these data, the number of power outages and energy loss attributable to outages continues to rise, while the duration of electric outages and the number of customers affected are declining.

P2G 기술을 활용한 배전계통 신뢰도 향상에 관한 연구

The importance of electricity use and dependence on electricity are increasing as the number of domestic and foreign electric facilities increases due to the development of science and technology. For customers receiving electricity, even if the number of power outages per year is not high, the damage and impact on it cannot be ignored. From this point of view, the reliability of the power system is an important issue that cannot be taken lightly. In this paper, we proposed a method to increase the reliability in the power system by using P2G technology that uses gas and electricity together to show better reliability in the existing power system.

Electric systems failures produced by CG lightning in Eastern Amazonia

Operational records of power outages of the electric energy distribution systems in eastern Amazonia presented a large number of events attributed to lightning strikes, during the 2006 to 2009 period. The regional electricity concessionary data were compared to actual lightning observations made by SIPAM's LDN system, over two areas where operational sub systems of transmission lines are installed. Statistical relations were drawn between the monthly lightning occurrence density and the number of power outages of the electric systems for both areas studied. The results showed that, although with some delays between these variables peaks, the number of power disruptions has a tendency to follow the behavior of the lightning occurrence densities variations. The numerical correlations were positive and may be useful to the transmission lines maintenance crews at least for the Belém-Castanhal electricity distribution sub system. Evidence was found, that the SST's over certain areas of the Pacific and Atlantic Oceans, influence convection over the area of interest, and may help to prognosticate the periods of intense electric storms, requiring repair readiness for the regional electric systems.