Integration of New RES in Power System of North Macedonia

Atanasovski, Metodija; Kostov, Mitko; Arapinoski, Blagoja; Spirovski, Mile

doi:10.1109/icest52640.2021.9483485

Cited by 2 publications

(2 citation statements)

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“…The selected regression models for fitting the two-phase flow are random forest (RF) [34], support vector regression (SVR) [35,36], nearest neighbor regression (KNN) [37,38], multi-layer perceptron (MLP) [39], and gradient boosted regression (GBR) [40]. Parameter tuning for each model is performed using the grid search method.…”

Section: Model Selectionmentioning

confidence: 99%

Gas–Liquid Two-Phase Flow Measurement Based on Optical Flow Method with Machine Learning Optimization Model

Wang,

Huang,

et al. 2024

Applied Sciences

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Gas–Liquid two-phase flows are a common flow in industrial production processes. Since these flows inherently consist of discrete phases, it is challenging to accurately measure the flow parameters. In this context, a novel approach is proposed that combines the pyramidal Lucas-Kanade (L–K) optical flow method with the Split Comparison (SC) model measurement method. In the proposed approach, videos of gas–liquid two-phase flows are captured using a camera, and optical flow data are acquired from the flow videos using the pyramid L–K optical flow detection method. To address the issue of data clutter in optical flow extraction, a dynamic median value screening method is introduced to optimize the corner point for optical flow calculations. Machine learning algorithms are employed for the prediction model, yielding high flow prediction accuracy in experimental tests. Results demonstrate that the gradient boosted regression (GBR) model is the most effective among the five preset models, and the optimized SC model significantly improves measurement accuracy compared to the GBR model, achieving an R2 value of 0.97, RMSE of 0.74 m3/h, MAE of 0.52 m3/h, and MAPE of 8.0%. This method offers a new approach for monitoring flows in industrial production processes such as oil and gas.

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Section: Model Selectionmentioning

confidence: 99%

Gas–Liquid Two-Phase Flow Measurement Based on Optical Flow Method with Machine Learning Optimization Model

Wang,

Huang,

et al. 2024

Applied Sciences

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“…Namun, konduktor ACCC memiliki harga yang lebih mahal dibandingkan dengan ACSR. Meskipun begitu, uprating dari ACSR menjadi ACCC jauh lebih murah dibandingkan dengan melakukan pembangunan konstruksi jaringan baru dengan menggunakan konduktor ACSR [8]. Sehingga, uprating dari ACSR menjadi ACCC sangatlah ideal untuk dilakukan.…”

Section: Pengembangan Jaringan Transmisiunclassified

Pengembangan Jaringan Transmisi 150 Kv Bali Berdasarkan Rencana Umum Ketenagalistrikan Daerah (Rukd) Provinsi Bali Tahun 2022 – 2030

Pramana¹,

Ariastina²,

Sukerayasa³

2023

SPEKTRUM

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The need for electrical energy increases every year. That is linear with the economic growth that happens in the area. Bali is an area where the demand for electrical energy has increased significantly throughout the year. The increase in electrical energy demands will cause the power peak load to increase as well. It's necessary to develop a 150 kV transmission system to anticipate peak load from reaching the breakdown point of the transmission system. Based on this study, the transmission line from Kapal Substation to Pemecutan Klod Substation experienced 80.1% of the maximum load capacity of the line in 2029. It means that the load flow has exceeded the ideal loading of the transmission line, which is 80% of its maximum capacity. Uprating the conductor from TACSR 240 mm2 to ACCC Lisbon 310 mm2 and adding a new circuit line, will help the transmission line sustainable until 2046 before reaching 100% of its maximum capacity.

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Integration of New RES in Power System of North Macedonia

Cited by 2 publications

References 0 publications

Gas–Liquid Two-Phase Flow Measurement Based on Optical Flow Method with Machine Learning Optimization Model

Gas–Liquid Two-Phase Flow Measurement Based on Optical Flow Method with Machine Learning Optimization Model

Pengembangan Jaringan Transmisi 150 Kv Bali Berdasarkan Rencana Umum Ketenagalistrikan Daerah (Rukd) Provinsi Bali Tahun 2022 – 2030

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