Reliability diagnosis of distribution system under adverse weather conditions

Coelho, Jorge; Nassar, Sílvia Modesto; Gauche, E.; Ricardo, V.W.; Queiroz, Humberto; Lima, Miguelangelo-Geimba-de; Lourenço, Marta C.

doi:10.1109/ptc.2003.1304792

Cited by 8 publications

(3 citation statements)

References 5 publications

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“…Third, the grid system in China involves long-distance transportation as well as complex climatic and topographic conditions. Power interruptions and failure rates have significant correlations with weather parameters (Coelho et al, 2003;Domijan et al, 2003), and adverse landform characteristics can increase the difficulty of repairs and maintenance. A notable example was the heavy snow storm in southern China in 2008, which led to serious damage to electric network equipment.…”

Section: Development Of China's Grid Systemmentioning

confidence: 99%

Does environmental heterogeneity affect the productive efficiency of grid utilities in China?

et al. 2019

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China's electricity industry has experienced a reform whereby the generation sector is being opened up to competition but the transmission and distribution sectors are still regulated. Efficiency and benchmarking analyses are widely used for improving the performance of regulated segments, and the impact on efficiency of observable environmental factors, together with unobservable characteristics, has gained increasing attention in recent years. This study uses alternative stochastic frontier models combined with input distance functions to study the productive efficiency of 29 grid firms of China over the period 1993-2014 and investigates the effect of observed environmental factors and unobserved heterogeneity. The results indicate that efficiency is sensitive to model specification and illustrates the presence of observed and unobserved heterogeneity. The number of customers, power delivered and network length are demonstrated to have positive impacts on the utilities' efficiency while adverse environmental conditions harm the operation of grid utilities, but policy regulations may offset the negative impact. Finally, we suggest that there is room for efficiency improvement in the distribution grid, which could be encouraged by incentive regulation, even taking due account of environmental heterogeneity. Cambridge Working Papers in Economics Faculty of Economics www.eprg.group.cam.ac.uk Does environmental heterogeneity affect the productive efficiency of grid utilities in China? EPRG Working Paper 1820

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Section: Development Of China's Grid Systemmentioning

confidence: 99%

Does environmental heterogeneity affect the productive efficiency of grid utilities in China?

et al. 2019

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“…Other literature has shown that weather conditions influence quality of service in electricity distribution networks. While Coelho et al (2003), Domijan et al (2003) and Zhou et al(2006) find a significant correlation between PSI and rain, wind and temperatures, Yu et al (2009) find that such factors often do not have a significant economic and statistical effect on the overall performance of the UK utilities. Wang and Billington (2002) show that severe weather conditions do not only increase the frequency of PSI, but also the restoration time.…”

Section: Introductionmentioning

confidence: 99%

Managing power supply interruptions: a bottom-up spatial (frontier) model with an application to a Spanish electricity network

Argüelles

Orea

2020

Empir Econ

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“…Much of the focus of modeling the effects of weather on power distribution systems has remained on extreme weather conditions [1][2][3]. There is also a body of work that includes weather as a factor in the analysis of specific fault causes [4,5].…”

Section: Introductionmentioning

confidence: 99%

Weather-based interruption prediction in the smart grid utilizing chronological data

Sarwat

Amini

Domijan

et al. 2015

J. Mod. Power Syst. Clean Energy

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This unique study will demonstrate a combined effect of weather parameters on the total number of power distribution interruptions in a region. Based on common weather conditions, a theoretical model can predict interruptions and risk assessment with immediate weather conditions. Using daily and hourly weather data, the created models will predict the number of daily or by-shift interruptions. The weather and environmental conditions to be addressed will include rain, wind, temperature, lightning density, humidity, barometric pressure, snow and ice. Models will be developed to allow broad applications. Statistical and deterministic simulations of the models using the data collected will be conducted by employing existing software, and the results will be used to refine the models. Models developed in this study will be used to predict power interruptions in areas that can be readily monitored, thus validating the models. The application has resulted in defining the predicted number of interruptions in a region with a specific confidence level. Reliability is major concern for every utility. Prediction and timely action to minimize the outage duration improves reliability. Use of this predictor model with existing smart grid self-healing technology is proposed.

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Reliability diagnosis of distribution system under adverse weather conditions

Cited by 8 publications

References 5 publications

Does environmental heterogeneity affect the productive efficiency of grid utilities in China?

Does environmental heterogeneity affect the productive efficiency of grid utilities in China?

Managing power supply interruptions: a bottom-up spatial (frontier) model with an application to a Spanish electricity network

Weather-based interruption prediction in the smart grid utilizing chronological data

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