
Energy, Journal Year: 2024, Volume and Issue: 313, P. 134164 - 134164
Published: Dec. 1, 2024
Language: Английский
Energy, Journal Year: 2024, Volume and Issue: 313, P. 134164 - 134164
Published: Dec. 1, 2024
Language: Английский
International Journal of Electrical Power & Energy Systems, Journal Year: 2025, Volume and Issue: 165, P. 110481 - 110481
Published: Jan. 22, 2025
Language: Английский
Citations
3Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 113, P. 115639 - 115639
Published: Feb. 7, 2025
Language: Английский
Citations
3Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 100, P. 113562 - 113562
Published: Sept. 6, 2024
Language: Английский
Citations
14Energy Conversion and Management X, Journal Year: 2024, Volume and Issue: 24, P. 100766 - 100766
Published: Oct. 1, 2024
Language: Английский
Citations
9Energy Strategy Reviews, Journal Year: 2025, Volume and Issue: 59, P. 101683 - 101683
Published: March 29, 2025
Language: Английский
Citations
1Results in Engineering, Journal Year: 2024, Volume and Issue: 22, P. 102351 - 102351
Published: June 1, 2024
This study addresses the critical yet often overlooked aspect of incorporating correlations among input stochastic variables in power system planning and scheduling optimization. While existing literature has extensively focused on uncertainty modelling, there remains a gap fully assessing consequences disregarding objective function values across different network sizes. To bridge this gap, we utilize Monte Carlo simulation with Cholesky decomposition, alongside Quasi-Monte sampling Latin Hypercube Sampling, to effectively model capture correlation coefficients variables, including wind, solar photovoltaic, load power. The most efficient technique is then integrated into our optimization model, which applied small, medium, large models. Our proposed conflicting objectives using hybrid NSGAII-MOPSO, aiming simultaneously minimize total operational cost, loss, voltage deviation. By implementing selected networks comparing outcomes between cases independent correlated rigorously assess discrepancies values. We visualize analyse these errors systems varying sizes, shedding light impact neglecting variable correlations. Notably, maximum are observed at $3.26/h, $40.66/h, $2754.04/h for IEEE 30-bus, 57-bus, 118-bus systems, respectively. Crucially, as size increases, so does magnitude differences, underlining escalating outcomes. stress importance integrating such considerations future strategies mitigate enhance decision-making processes.
Language: Английский
Citations
8Energy Conversion and Management X, Journal Year: 2024, Volume and Issue: unknown, P. 100834 - 100834
Published: Dec. 1, 2024
Language: Английский
Citations
8Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 102, P. 114057 - 114057
Published: Oct. 13, 2024
Language: Английский
Citations
5Energy Conversion and Management X, Journal Year: 2024, Volume and Issue: unknown, P. 100838 - 100838
Published: Dec. 1, 2024
Language: Английский
Citations
5Energy Conversion and Management X, Journal Year: 2025, Volume and Issue: unknown, P. 101041 - 101041
Published: May 1, 2025
Language: Английский
Citations
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