Estimation method for dynamic line rating potential and economic benefits

Uski, Sanna

doi:10.1016/j.ijepes.2014.09.034

Cited by 38 publications

(20 citation statements)

References 6 publications

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“…However, due to the fact that this is not a real-time functionality, [10] shows the need for developing RTLR forecasts for this application. In a similar way, [11] considers RTLR forecasts in his study of DLR on the total trading capacity between two countries, given that most exchange operations are decided at least 24 hours in advance. In the case where line constraints limit the trading capacity in electricity markets, the use of RTLR forecasts could contribute to considerable financial savings.…”

Section: Fig 1 Evolution Of Static Line Rating and Real Line Ratingmentioning

confidence: 99%

Overhead lines Dynamic Line rating based on probabilistic day-ahead forecasting and risk assessment

Dupin

Kariniotakis

Michiorri

2019

International Journal of Electrical Power & Energy Systems

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Dynamic Line Rating is a technology devised to modify an overhead line's current-carrying capacity based on weather observation. The benefits of this modification may include reduced congestion costs, an increased renewable energy penetration rate, and improved network reliability. DLR is already well developed, but few papers in the literature investigate DLR day-ahead forecasting. The latter is central to DLR development since many of the decisions related to grid management are taken at least on a day-ahead basis. In this paper, two problems related to DLR forecasts are dealt with: how to achieve precise, reliable calculations of day-ahead forecasts of overhead line ampacity and how to define a methodology to calculate safe rating values using these forecasts. On the first point, four machine-learning algorithms were evaluated, identifying the best approach for this problem and quantifying the potential performance. On the second point, the developed methodology was tested and compared to the current static line rating approach.

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Section: Fig 1 Evolution Of Static Line Rating and Real Line Ratingmentioning

confidence: 99%

Overhead lines Dynamic Line rating based on probabilistic day-ahead forecasting and risk assessment

Dupin

Kariniotakis

Michiorri

2019

International Journal of Electrical Power & Energy Systems

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“…Undoubtedly, the great majority of research studies focus on how flexible line-rating policies could be used to tackle operational and safety issues in grid management. However, when it comes to the economic or market implications, there is an obvious literature gap, with a few noticeable exceptions [91][92][93]. For instance, little has yet been written on the extent to which consumers might benefit from flexible rating mechanisms or how much capital could be released from the required network extension/upgrade projects or the extent to which consumers might benefit from flexible rating mechanisms.…”

Section: Economic and Market Implications Of Dynamic Line Ratingmentioning

confidence: 99%

“…In [92], a calculation method was introduced for the assessment of possible economic benefits for the consumers in a price area if the bottleneck between the price areas could be relieved by employing DLR. The method was demonstrated with a case study based on historical power system, electricity market, and weather data.…”

Section: Economic and Market Implications Of Dynamic Line Ratingmentioning

confidence: 99%

Forecasting for dynamic line rating

Michiorri

Nguyen

Alessandrini

et al. 2015

Renewable and Sustainable Energy Reviews

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131

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International audienceThis paper presents an overview of the state of the art on the research on Dynamic Line Rating forecasting. It is directed at researchers and decision-makers in the renewable energy and smart grids domain, and in particular at members of both the power system and meteorological community. Its aim is to explain the details of one aspect of the complex interconnection between the environment and power systems. The ampacity of a conductor is defined as the maximum constant current which will meet the design, security and safety criteria of a particular line on which the conductor is used. Dynamic Line Rating (DLR) is a technology used to dynamically increase the ampacity of electric overhead transmission lines. It is based on the observation that the ampacity of an overhead line is determined by its ability to dissipate into the environment the heat produced by Joule effect. This in turn is dependent on environmental conditions such as the value of ambient temperature, solar radiation, and wind speed and direction. Currently, conservative static seasonal estimations of meteorological values are used to determine ampacity. In a DLR framework, the ampacity is estimated in real time or quasi-real time using sensors on the line that measure conductor temperature, tension, sag or environmental parameters such as wind speed and air temperature. Because of the conservative assumptions used to calculate static seasonal ampacity limits and the variability of weather parameters, DLRs are considerably higher than static seasonal ratings. The latent transmission capacity made available by DLRs means the operation time of equipment can be extended, especially in the current power system scenario, where power injections from Intermittent Renewable Sources (IRS) put stress on the existing infrastructure. DLR can represent a solution for accommodating higher renewable production whilst minimizing or postponing network reinforcements. On the other hand, the variability of DLR with respect to static seasonal ratings makes it particularly difficult to exploit, which explains the slow take-up rate of this technology. In order to facilitate the integration of DLR into power system operations, research has been launched into DLR forecasting, following a similar avenue to IRS production forecasting, i.e. based on a mix of statistical methods and meteorological forecasts. The development of reliable DLR forecasts will no doubt be seen as a necessary step for integrating DLR into power system management and reaping the expected benefits

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“…However, there are no studies of this integration being monitored for long periods of time and presenting the specific benefits of this operation in economic and environmental ways. Previous works have partially addressed economic benefits of dynamic rating operation [14]. In order to analyse the complete economic and environmental scenario, the calculation of the line losses must be done.…”

Section: Introductionmentioning

confidence: 99%