A Statistical Framework for Evaluating the Effectiveness of Vegetation Management in Reducing Power Outages Caused during Storms in Distribution Networks

This paper develops a statistical framework to analyze the effectiveness of vegetation management at reducing power outages during storms of varying severity levels. The framework was applied on the Eversource Energy distribution grid in Connecticut, USA based on 173 rain and wind events from 2005–2020, including Hurricane Irene, Hurricane Sandy, and Tropical Storm Isaias. The data were binned by storm severity (high/low) and vegetation management levels, where a maximum applicable length of vegetation management for each circuit was determined, and the data were divided into four bins based on the actual length of vegetation management performed divided by the maximum applicable value (0–25%, 25–50%, 50–75%, and 75–100%). Then, weather and overhead line length normalized outage statistics were taken for each group. The statistics were used to determine the effectiveness of vegetation management and its dependence on storm severity. The results demonstrate a higher reduction in damages for lower-severity storms, with a reduction in normalized outages between 45.8% and 63.8%. For high-severity events, there is a large increase in effectiveness between the highest level of vegetation management and the two lower levels, with 75–100% vegetation management leading to a 37.3% reduction in trouble spots. Yet, when evaluating system reliability, it is important to look at all storms combined, and the results of this study provide useful information on total annual trouble spots and allow for analysis of how various vegetation management scenarios would impact trouble spots in the electric grid. This framework can also be used to better understand how more rigorous vegetation management standards (applying ETT) help reduce outages at an individual event level. In future work, a similar framework may be used to evaluate other resilience improvements.

Empirical Cost of Electricity Outage on Labour and Capital Productivity in Nigeria

This study empirically examined the impact of electricity power outages on Nigeria’s capital and labour productivity. The emphasis is on how frequent electricity outage reduces labour and capital effectiveness and other factors of production. To achieve the above objective, annual time series data on Total Factor Productivity - a proxy for Nigeria’s factors productivity, Power Outage (electric power transmission and distribution losses as % of output), and other controlled variables were used to estimate the relationship and all data were from World Bank Development Indicators (WDI). The Fully Modified Ordinary Least Square (FOLS) technique was adopted for analysis. The empirical results showed a negative relationship between power outages and factor productivity. The result also reveals that electricity pricing has a significant negative impact on the factor productivity while both electricity generation and population have a significant positive impact on Nigeria’s total factor productivity. The implication is that the substitution effect between labour and capital is positive, meaning that Nigeria exhibits a labour-intensive production function. In conclusion, the study is of the opinion that power outage and electricity pricing negatively impact factors productivity while electricity generation and population have a positive relationship with factors productivity in Nigeria.

Development of Automatic Switch for Electric Power Transfer

This article addresses the issue of power outage while transmitting electric power to consumer’s end. Electricity demand in today’s world has risen sharply where it must be generated not only using conventional fuels, but also from renewable sources in order to meet this demand. In this regard, an automatic switch is being developed that allows switching between sources in such a way that first and foremost, electric power from solar and wind farms is transferred to the consumer or to the general network. It not only resolves the issue of unforeseen blackouts and power outages, but it also ensures that the consumer end is receiving voltage from a stable generating source. This is how the automatic switch will work effectively in the best interests of the consumers.

Socialism Cannot Postpone Its Promise of Democracy: Young Cuban Voices on the July 11 Events

On Sunday, July 11, 2021, demonstrations occurred in various parts of Cuba. Many of the demonstrators went onto the streets to protest the frequent prolonged power outages in various locations, shortages of food and medicine, and the general precariousness of daily life. A variety of different perspectives are putting their own spin on these events.

Embracing Darkness and Silence: A Cognitive Reading of Trauma in A Small Silence, by Jumoke Verissimo

The purpose of the present article is to discuss how A Small Silence (2019), by the Nigerian author Jumoke Verissimo, conjures up a provocative approach to traumatic memories. The tropes of silence and darkness—closely bound to the Nigerian context where power outages are frequent—are sensuously explored in evocative prose. Darkness is offered as a refuge against the blinding effect of light, and silence is oftentimes preferred to healing through narrativisation. Desire and Prof, the two main fictional characters, devise a peculiar dialogue of half-uttered and unspoken words—and reminiscences—that are arguably in tune with cognitive literary approaches to individual trauma. In addition, in this article an Oriental aesthetics is deployed to delineate the novel’s use of shadows and isolation. In contrast to classical trauma fiction, A Small Silence presents a less experimental literary narrative of individual trauma. At the same time, the novel rejects simplistic binaries such as trauma-health, dark-light, forgetfulness-memory and mind-body. Rather, it lingers in a space between individual healing and Nigeria’s intricate neocolonial circumstances.

A power balance simulator to examine business continuity in hospital facilities due to power outages in a disaster

In hospitals, the energy supply is the key to ensuring modern medical care even during power outages due to a disaster. This study qualitatively examined whether the supply-demand balance can be stabilized by the private generator prepared by the hospital building during stand-alone operations under disaster conditions. In the nanogrid of the hospital building, the power quality was examined based on the AC frequency, which characterizes the supply-demand balance. Gas engine generators, emergency diesel generators, photovoltaic panels, and storage batteries were presumed to be the private generators in the hospital building. The output reference values for the emergency diesel and gas engine generators were set using droop control, and the C/D controller enabled synchronized operation. In addition, to keep the AC frequency fluctuation minor, the photovoltaic panels were designed to suppress the output fluctuation using storage batteries. As a result of case studies, the simulator predicts that the frequency fluctuation varies greatly depending on the weather conditions and the fluctuation suppression parameters, even for the same configuration with the same power generation capacity. Therefore, it is preferable to increase the moving average time of the output and reduce the feedback gain of the storage battery to suppress the output fluctuation from the photovoltaics. However, there is a tradeoff between suppressing the output fluctuation and the minimum required storage capacity. Furthermore, since the photovoltaics' output varies with the weather, other private generators' capacity and control parameters significantly impact power quality. The simulator proposed in this study makes it possible to study each hospital's desirable private generator configuration.