scholarly journals Development of Automatic Switch for Electric Power Transfer

2022 ◽  
Vol 12 (1) ◽  
pp. 72
Author(s):  
Asad Muneer ◽  
Faizan Amjad ◽  
Muhammad Waqas Jabbar ◽  
Usama Saleem
Keyword(s):  
Electric Power ◽  
Wind Farms ◽  
Electricity Demand ◽  
Best Interests ◽  
Power Transfer ◽  
Power Outages ◽  
Renewable Sources ◽  
Power Outage ◽  
General Network

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.

scholarly journals Moderating Effect of Firm Characteristics on the Relationship between Electric Power Outage Dynamics and Financial Performance of Manufacturing Firms in Kenya

2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Winfred Wanjiku Njiraini ◽  
Mirie Mwangi ◽  
Erasmus Kaijage ◽  
Pokhariyal Ganesh
Keyword(s):  
Capital Structure ◽  
Financial Performance ◽  
Electric Power ◽  
Manufacturing Firms ◽  
Firm Characteristics ◽  
Power Outages ◽  
Power Outage ◽  
Firm Financial Performance ◽  
And Performance ◽  
The Relationship

Past literatures on the correlational link between electric power outage dynamics and performance of manufacturing firms, in most economies, have portrayed a controversial conceptual debate amongst scholars with little focus on the moderating role played by firm characteristics. This paper focuses on determining the effect of firm characteristics (capital structure) on the relationship between electric power outage dynamics and financial performance of manufacturing firms in Kenya. Positivism philosophical point of view and descriptive survey research design was utilized. A population of 447 manufacturing firms in Kenya, which were also members of Kenya Manufacturers Association, was selected out of which a sample size of 138 firms was drawn using stratified random sampling methodology. Structured questionnaires were utilized to collect data which involved drop and pick approach. The research results indicate that the relationship between electric power outage dynamics and performance of manufacturing firms in Kenya is not significantly moderated by firm characteristics. This study outcome augments existing knowledge on electric power outage dynamics in relation to firm characteristics and financial performance. This is because it is evident that top management should not focus on capital structure as a conditional factor when making decisions aimed at enhancing firm financial performance under power outage conditions. The study has also made an input to the academic literature ascending from empirical reinforcement of tradeoff theory and pecking order theory in making determination on firms’ capital investments. Policy makers and power utilities benefit in understanding the negative effect of power outages on the performance of firms are therefore guided in overseeing the planning and implementation of proper electricity infrastructure. Kenya Association of Manufacturers (KAM) will find these research findings useful in guiding their member firms on strategies to adopt to ensure continuous productivity and safeguard damages to the firm as a result of electric power outages.

scholarly journals A Spatial Analytics Framework to Investigate Electric Power-Failure Events and Their Causes

2020 ◽  
Vol 9 (1) ◽  
pp. 54 ◽  
Author(s):  
Vivian Sultan ◽  
Brian Hilton
Keyword(s):  
Electric Power ◽  
Research Question ◽  
Streaming Data ◽  
Power Outages ◽  
Major Power ◽  
Power Outage ◽  
Power Failure ◽  
Spatial Analytics ◽  
Power Infrastructure ◽  
The U.S

The U.S. electric-power infrastructure urgently needs renovation. Recent major power outages in California, New York, Texas, and Florida have highlighted U.S. electric-power unreliability. The media have discussed the U.S. aging power infrastructure and the Public Utilities Commission has demanded a comprehensive review of the causes of recent power outages. This paper explores geographic information systems (GIS) and a spatially enhanced predictive power-outage model to address: How may spatial analytics enhance our understanding of power outages? To answer this research question, we developed a spatial analysis framework that utilities can use to investigate power-failure events and their causes. Analysis revealed areas of statistically significant power outages due to multiple causes. This study’s GIS model can help to advance smart-grid reliability by, for example, elucidating power-failure root causes, defining a data-responsive blackout solution, or implementing a continuous monitoring and management solution. We unveil a novel use of spatial analytics to enhance power-outage understanding. Future work may involve connecting to virtually any type of streaming-data feed and transforming GIS applications into frontline decision applications, showing power-outage incidents as they occur. GIS can be a major resource for electronic-inspection systems to lower the duration of customer outages, improve crew response time, as well as reduce labor and overtime costs.

The Status of the HANARO Class 4 Power Outage

2004 ◽  
Author(s):  
Hyungkyoo Kim ◽  
Hoansung Jung ◽  
Jongsup Wu
Keyword(s):  
Electric Power ◽  
Power Supply ◽  
Research Reactor ◽  
Industrial Plant ◽  
Power Outages ◽  
Power Outage ◽  
Initial Stage ◽  
The Status ◽  
The Many ◽  
The Impact

Electric power is essential for all industrial plant. All who use electric power desire a perfect frequency, voltage stability, and reliability all the time. But this cannot be realized in practice because of the many causes of a power supply disturbance that are beyond the control of the utility. Since the first criticality of the HANARO research reactor, the major reasons for reactor trips were system malfunctions and inexperienced operators in the initial stage of its operation. As HANARO is stabilizing, the power supply outage becomes the major reason for a reactor trip. This paper describes the status of power supply outages. This paper deals with not only the outages which have an effect on HANARO operation but also the reasons for the HANARO class 4 power outages. The analysis on the characteristics and the trends of the outages can provide clues to how the outages can be minimized and what the impact of the outages are on the operation.

scholarly journals Planning of Electric Power Systems Considering Virtual Power Plants with Dispatchable Loads Included: An Inexact Two-Stage Stochastic Linear Programming Model

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Changyu Zhou ◽  
Guohe Huang ◽  
Jiapei Chen
Keyword(s):  
Linear Programming ◽  
Power System ◽  
Electric Power ◽  
Power Supply ◽  
Power Plants ◽  
Electricity Demand ◽  
Virtual Power ◽  
Stochastic Linear Programming ◽  
Two Stage ◽  
Virtual Power Plants

In this study, an inexact two-stage stochastic linear programming (ITSLP) method is proposed for supporting sustainable management of electric power system under uncertainties. Methods of interval-parameter programming and two-stage stochastic programming were incorporated to tackle uncertainties expressed as interval values and probability distributions. The dispatchable loads are integrated into the framework of the virtual power plants, and the support vector regression technique is applied to the prediction of electricity demand. For demonstrating the effectiveness of the developed approach, ITSLP is applied to a case study of a typical planning problem of power system considering virtual power plants. The results indicate that reasonable solutions for virtual power plant management practice have been generated, which can provide strategies in mitigating pollutant emissions, reducing system costs, and improving the reliability of power supply. ITSLP is more reliable for the risk-aversive planners in handling high-variability conditions by considering peak-electricity demand and the associated recourse costs attributed to the stochastic event. The solutions will help decision makers generate alternatives in the event of the insufficient power supply and offer insight into the tradeoffs between economic and environmental objectives.

scholarly journals Electric Power Outage Forecasting: Model

2018 ◽  
Author(s):  
Donatella Pasqualini ◽  
Kimberly Ann Kaufeld ◽  
Mary Frances Dorn
Keyword(s):  
Electric Power ◽  
Forecasting Model ◽  
Power Outage

scholarly journals Wind: generating power and cooling the power lines

2020 ◽  
Vol 17 ◽  
pp. 105-108
Author(s):  
Marko Kaasik ◽  
Sander Mirme
Keyword(s):  
Wind Speed ◽  
Electric Power ◽  
High Voltage ◽  
Transmission Lines ◽  
Power Transmission ◽  
Mixed Forest ◽  
Wind Farms ◽  
Power Line ◽  
Power Lines ◽  
Local Wind

Abstract. The electric power that can be transmitted via high-voltage transmission lines is limited by the Joule heating of the conductors. In the case of coastal wind farms, the wind that produces power simultaneously contributes to the cooling of high-voltage overhead conductors. Ideally this would allow for increased power transmission or decreased dimensions and cost of the conductor wires. In this study we investigate how well the wind speed in coastal wind farms is correlated with wind along a 75 km long 330 kW power line towards inland. It is found that correlations between wind speed in coastal wind farms at turbine height and conductor-level (10 m) are remarkably lower (R=0.39–0.64) than between wind farms at distances up to 100 km from each other (R=0.76–0.97). Dense mixed forest surrounding the power line reduces both local wind speed and the correlations with coastal higher-level wind, thus making the cooling effect less reliable.

scholarly journals Power Outages in Ghana: Did They Have an Effect on the Financial Performance of Listed Firms?

2018 ◽  
Vol 10 (3) ◽  
pp. 1434-1439
Author(s):  
Dinah Koranteng Anaman ◽  
Bawuah Bernard
Keyword(s):  
Growth Rate ◽  
Financial Performance ◽  
Quantitative Methods ◽  
Power Outages ◽  
Power Outage ◽  
Average Growth ◽  
Revenue Generation ◽  
Listed Firms ◽  
Negative Effect ◽  
Operational Expenditure

The paper seeks to find out whether the recent power outages in Ghana had a negative effect on listed firms.. Out of 35 listed firms in Ghana, 25 were purposively chosen as the sample size for the study. The research design was explanatory and employed quantitative methods that enabled comparison of six years trend analysis of firms’ performance – ‘before’ and ‘during’ power outage periods. Key performance indicators measured were Revenue, Profitability and Growth Rate. Findings were that power outages did not have effect on revenue generation of listed firms and that contrary, they recorded higher maximum revenues for power outage periods. Again, an average growth rate of 122.26% for periods of power outages as against 79.0% mean growth rate for periods of consistent power established that power outages did not have an effect on the growth rate of listed firms. However, power outages had an effect on listed firms’ profitability and more so, accounted for increases in operational expenditure. Our findings on revenue generation and growth rate are unique in literature but that on revenue generation confirms earlier studies. We conclude that the effect of power outages on financial performance of listed firms in Ghana is mixed. To investors, we still recommend Ghana as an investment destination since power outages that beset the country were well managed and did not, to a large extent, have a negative effect on firms’ performances.

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