
Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)
Published: Sept. 4, 2024
Language: Английский
Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)
Published: Sept. 4, 2024
Language: Английский
Electric Power Systems Research, Journal Year: 2024, Volume and Issue: 233, P. 110455 - 110455
Published: May 11, 2024
Language: Английский
Citations
3Advances in Continuous and Discrete Models, Journal Year: 2025, Volume and Issue: 2025(1)
Published: Jan. 17, 2025
Language: Английский
Citations
0Processes, Journal Year: 2025, Volume and Issue: 13(2), P. 405 - 405
Published: Feb. 4, 2025
The economic dispatch (ED) problem focuses on the optimal scheduling of thermal generating units in a power system to minimize fuel costs while satisfying operational constraints. This article proposes modified version social group optimization (SGO) algorithm address ED with various practical characteristics (such as valve-point effects, transmission losses, prohibited operating zones, and multi-fuel sources). SGO is population-based metaheuristic strong exploration capabilities, but for certain types problems, it may stagnate local optimum due potential imbalance between exploitation. new version, named SGO-L, retains structure incorporates Laplace operator derived from distribution into all iterative solution update equations. adjustment generates more effective search steps space, improving exploration–exploitation balance overall performance terms stability quality. SGO-L validated four systems small (six-unit), medium (10-unit), large (40-unit 110-unit) sizes diverse characteristics. efficiency compared other algorithms. experimental results demonstrate that proposed robust than well-known algorithms particle swarm optimization, genetic algorithms, differential evolution, cuckoo algorithms) competitor mentioned study. Moreover, non-parametric Wilcoxon statistical test indicates promising original For example, standard deviation obtained by shows significantly lower values (6.02 × 10−9 USD/h six-unit system, 7.56 10−5 10-unit 75.89 40-unit 4.80 10−3 110-unit system) (0.44 50.80 274.91 1.04 system).
Language: Английский
Citations
0Neural Computing and Applications, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 5, 2025
Language: Английский
Citations
0Next Energy, Journal Year: 2025, Volume and Issue: 8, P. 100256 - 100256
Published: Feb. 26, 2025
Language: Английский
Citations
0Results in Control and Optimization, Journal Year: 2025, Volume and Issue: unknown, P. 100543 - 100543
Published: March 1, 2025
Language: Английский
Citations
0Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104720 - 104720
Published: March 1, 2025
Language: Английский
Citations
0Neural Computing and Applications, Journal Year: 2025, Volume and Issue: unknown
Published: April 3, 2025
Language: Английский
Citations
0Energy Informatics, Journal Year: 2024, Volume and Issue: 7(1)
Published: Aug. 14, 2024
This study presents a comprehensive review of the primary distribution design an advanced network control system, emphasizing its evolution from initial requirements to practical applications. The system solves complex problems power management by combining real-time data analysis, intelligent decision making for resource allocation, rapid fault correction, remote monitoring and optimization methods, all aimed at ensuring stable safe operation grid. Its performance is geared towards fast response, efficient processing synchronous tasks, smooth even under heavy workloads. Security enhanced through strict protocols, encryption controlled access systems. divided into four layers-data collection, communication, decision-making application management-using innovative tools such as Kalman filters deep Q networks. research showcases integrated command system's prowess, achieving average response time 0.27 s, 98.5% dispatching accuracy, 83.2% utilization, evidencing exceptional performance. It excels various tests, including managing high loads with minimal accuracy loss, rapidly adapting changes hydro model 0.22 efficiently integrating renewables 78.0% efficiency, proving resilient in peak hours, affirming capability bolster grid reliability, integration renewable energy resources. By outlining these specific achievements, this case not only illustrates but also highlights great potential improving resilience attracting wide audience interested future management.
Language: Английский
Citations
3Cluster Computing, Journal Year: 2024, Volume and Issue: 27(9), P. 11851 - 11872
Published: July 16, 2024
Language: Английский
Citations
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