Cooling of overhead power lines due to the natural convection

Maksic, M.; Djurica, Vladimir; Souvent, Andrej; Slak, J.; Depolli, Matjaž; Kosec, Gregor

doi:10.1016/j.ijepes.2019.05.005

Cited by 18 publications

(3 citation statements)

References 10 publications

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“…Encouraged by the results presented in [4,14] the PDS based algorithm was promoted to a default discretisation algorithm for an open source meshless project Medusa [15]. Since its integration in Medusa, it has been used in high order solution of Poisson's equation, including a solution of a problem in 4D [16], and in an engineering simulations of overhead power thermal rating [17]. The algorithm has also been generalised to the discretisation of n-D parametric surfaces, an important step towards the coupling of meshless methods and Computer-Aided Design (CAD) [18].…”

Section: Introductionmentioning

confidence: 99%

Parallel domain discretization algorithm for RBF-FD and other meshless numerical methods for solving PDEs

Depolli¹,

Slak²,

Kosec³

2022

Preprint

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In this paper, we present a novel parallel dimension-independent node positioning algorithm that is capable of generating nodes with variable density, suitable for meshless numerical analysis. A very efficient sequential algorithm based on Poisson disc sampling is parallelized for use on shared-memory computers, such as the modern workstations with multi-core processors. The parallel algorithm uses a global spatial indexing method with its data divided into two levels, which allows for an efficient multi-threaded implementation. The addition of bootstrapping enables the algorithm to use any number of parallel threads while remaining as general as its sequential variant. We demonstrate the algorithm performance on six complex 2-and 3-dimensional domains, which are either of non rectangular shape or have varying nodal spacing or both. We perform a run-time analysis of the algorithm, to demonstrate its ability to reach high speedups regardless of the domain and to show how well it scales on the experimental hardware with 16 processor cores. We also analyse the algorithm in terms of the effects of domain shape, quality of point placement, and various parallelization overheads.

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Section: Introductionmentioning

confidence: 99%

Parallel domain discretization algorithm for RBF-FD and other meshless numerical methods for solving PDEs

Depolli¹,

Slak²,

Kosec³

2022

Preprint

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“…Reliable DTR is also an important part in congestion management of power systems [4], especially in operation and planning of power systems where renewable energy intermittencies exist [5,6]. DTR models have been gradually improved in the last few decades by including more and more refined physical models for various phenomena, ranging from rain impinging to different parametrisation of convective cooling [7]- [10]. The advancements in the DTR research community are periodically collected and presented in comprehensive DTR guidelines provided by the CIGRE [3], IEEE [11] and IEC [12] standards.…”

Section: Introductionmentioning

confidence: 99%

Uncertainty Assessment of Dynamic Thermal Line Rating for Operational Use at Transmission System Operators

Rashkovska,

Jančič,

Depolli

et al. 2022

Preprint

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Transmission system operators (TSOs) in recent years have faced challenges in order to ensure maximum transmission capacity of the system to satisfy market needs, while maintaining operational safety and permissible impact on the environment. A great help in the decision-making process was introduced with the Dynamic Thermal Rating (DTR)an instrument to monitor and predict the maximal allowed ampacity of the power grid based on weather measurements and forecast. However, the introduction of DTR raises a number of questions related to the accuracy and uncertainty of the results of thermal assessment and the level of acceptable risk and its management. In this paper, we present a solution for estimating DTR uncertainty, appropriate for operational use at TSOs. With the help of conductor surface temperature measurements, weather measurements and predicted weather data, we also estimate the error of the weather forecast and the DTR itself. Following the results of the data analyses, we build an operative solution for estimating the ampacity uncertainty based on Monte Carlo random simulations and integrate it into the operational environment of ELES -the operator of the Slovenian electric power transmission network.

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“…Our team started the development of Medusa library in 2015 to support our research in the field [Kosec 2018; and to ease implementation of applied solutions [Maksić et al 2019]. Over time, the interface grew and matured, putting emphasis on modularity, extensibility and reusability.…”

Section: Introductionmentioning

confidence: 99%

Medusa: A C++ Library for solving PDEs using Strong Form Mesh-Free methods

Slak,

Kosec

2019

Preprint

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Medusa, a novel library for implementation of strong form mesh-free methods, is described. We identify and present common parts and patterns among many such methods reported in the literature, such as node positioning, stencil selection and stencil weight computation. Many different algorithms exist for each part and the possible combinations offer a plethora of possibilities for improvements of solution procedures that are far from fully understood. As a consequence there are still many unanswered questions in mesh-free community resulting in vivid ongoing research in the field. Medusa implements the core mesh-free elements as independent blocks, which offers users great flexibility in experimenting with the method they are developing, as well as easily comparing it with other existing methods. The paper describes the chosen abstractions and their usage, illustrates aspects of the philosophy and design, offers some executions time benchmarks and demonstrates the application of the library on cases from linear elasticity and fluid flow in irregular 2D and 3D domains.

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Cooling of overhead power lines due to the natural convection

Cited by 18 publications

References 10 publications

Parallel domain discretization algorithm for RBF-FD and other meshless numerical methods for solving PDEs

Parallel domain discretization algorithm for RBF-FD and other meshless numerical methods for solving PDEs

Uncertainty Assessment of Dynamic Thermal Line Rating for Operational Use at Transmission System Operators

Medusa: A C++ Library for solving PDEs using Strong Form Mesh-Free methods

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