An improved arithmetic method for determining the optimum placement and size of EV charging stations DOI Creative Commons
Georgios Fotis

Computers & Electrical Engineering, Journal Year: 2024, Volume and Issue: 120, P. 109840 - 109840

Published: Nov. 1, 2024

Language: Английский

A corrective control framework for mitigating voltage fluctuations and congestion in distribution networks with high renewable energy penetration DOI
Tongmao Zhang, Xiao Wang, Alessandra Parisio

et al.

International Journal of Electrical Power & Energy Systems, Journal Year: 2025, Volume and Issue: 165, P. 110508 - 110508

Published: Feb. 8, 2025

Language: Английский

Citations

1
Advancing high impedance fault localization via adaptive transient process calibration and multiscale correlation analysis in active distribution networks DOI
Jian‐Hong Gao, Mou‐Fa Guo, Shuyue Lin

et al.

Measurement, Journal Year: 2024, Volume and Issue: 229, P. 114431 - 114431

Published: March 4, 2024

Language: Английский

Citations

8
Solar PV systems under weather extremes: Case studies, classification, vulnerability assessment, and adaptation pathways DOI
Paul C. Okonkwo, Samuel Chukwujindu Nwokolo,

Sunday O. Udo

et al.

Energy Reports, Journal Year: 2024, Volume and Issue: 13, P. 929 - 959

Published: Dec. 30, 2024

Language: Английский

Citations

4
Artificial neural network-based enhanced distance protection sensitivity in microgrids DOI Creative Commons
Ahmed N. Sheta, Abdelfattah A. Eladl, Bishoy E. Sedhom

et al.

Renewable energy focus, Journal Year: 2025, Volume and Issue: unknown, P. 100710 - 100710

Published: April 1, 2025

Language: Английский

Citations

0
Arc grounding fault model based on the dynamic characteristics of the entire process of distribution cherry tree related fault DOI
Tong Zhou,

Tao Yuan,

Qing Yang

et al.

Electric Power Systems Research, Journal Year: 2025, Volume and Issue: 247, P. 111781 - 111781

Published: May 3, 2025

Language: Английский

Citations

0
A review of switching overvoltage modeling in UHV AC transmission lines DOI
S. Abhishek Reddy, M. Sailaja Kumari

Electric Power Systems Research, Journal Year: 2024, Volume and Issue: 236, P. 110902 - 110902

Published: July 22, 2024

Language: Английский

Citations

3
Single line-to-ground fault current analysis for resonant grounded power distribution networks in bushfire prone areas DOI Creative Commons
Susheel Kumar Pirmani, Warnakulasuriya Sonal Prashenajith Fernando, M. A. Mahmud

et al.

Electric Power Systems Research, Journal Year: 2024, Volume and Issue: 237, P. 110883 - 110883

Published: Aug. 17, 2024

Language: Английский

Citations

3
A decentralized optimization approach for scalable agent-based energy dispatch and congestion management DOI Creative Commons
Maximilian Kilthau, Vincent Henkel, Lukas Peter Wagner

et al.

Applied Energy, Journal Year: 2024, Volume and Issue: 377, P. 124606 - 124606

Published: Oct. 9, 2024

Language: Английский

Citations

3
Benefit evaluation of HVAC and HVDC for offshore wind power transmission system under the multidimensional index DOI
Yuanzheng Lyu, Yongjie Luo,

Zan Jia

et al.

Electric Power Systems Research, Journal Year: 2024, Volume and Issue: 237, P. 111018 - 111018

Published: Aug. 30, 2024

Language: Английский

Citations

2
Forecasting Wind and Solar Energy Production in the Greek Power System using ANN Models DOI Open Access
Georgios Fotis,

Nenad Šijaković,

Mileta Žarković

et al.

WSEAS TRANSACTIONS ON POWER SYSTEMS, Journal Year: 2023, Volume and Issue: 18, P. 373 - 391

Published: Dec. 31, 2023

Renewable energy sources (RES) like solar and wind are quite uncertain because of the unpredictable nature sunlight. As a result, there at present several issues with system security transformed structure market due to increasing utilization renewable (wind solar). Accurate forecasting production is extremely important ensure that produced equal consumed energy. Any deviations have an impact on system's stability could potentially cause blackout in some situations. The issue high penetration RES discussed this study along novel method predicting them using artificial neural networks (ANN). SARIMA prediction model contrasted ANN approach. suggested for power plants has mean average error (MAPE) 3%–4.3%, whereas MAPE 5%–6.5%. In comparison, approaches typically 5%–10%. When was calculated, it also discovered had 2.3%–4% 1.4%–2.3%, methods often about 9%.

Language: Английский

Citations

4