Electric Power Systems Research, Journal Year: 2025, Volume and Issue: 246, P. 111729 - 111729
Published: April 19, 2025
Language: Английский
Electric Power Systems Research, Journal Year: 2025, Volume and Issue: 246, P. 111729 - 111729
Published: April 19, 2025
Language: Английский
Renewable and Sustainable Energy Reviews, Journal Year: 2025, Volume and Issue: 216, P. 115600 - 115600
Published: March 23, 2025
Language: Английский
Citations
0Management of Environmental Quality An International Journal, Journal Year: 2025, Volume and Issue: unknown
Published: April 14, 2025
Purpose This study evaluates the performance of genetic algorithms (GAs) in optimizing sizing wind photovoltaic systems with battery energy storage (BESS). The objective is to determine whether GAs can balance generation and storage, improve system autonomy, reduce operating costs meet residential demand real-world environments. Design/methodology/approach A algorithm was used as a multi-objective optimization tool optimal solar panels, turbines BESS. model considers demand, climate variability resource intermittency. Metrics such total deficit (TED) were evaluated. results compared exhaustive search validate effectiveness GA. Findings GA identified an configuration TED 3.76%, autonomy 96.24% efficiency 95% cost USD 7,500. In contrast, achieved 4.3%, range 95.7% 90% at 8,000. Although both methods ensure performance, stands out for its computational ability multiple targets. Originality/value not only highlights usefulness designing hybrid microgrids that address renewable intermittency economic viability but also contributes sustainable development goal by promoting affordable solutions communities.
Language: Английский
Citations
0Economic Analysis and Policy, Journal Year: 2025, Volume and Issue: unknown
Published: March 1, 2025
Language: Английский
Citations
0Electric Power Systems Research, Journal Year: 2025, Volume and Issue: 246, P. 111729 - 111729
Published: April 19, 2025
Language: Английский
Citations
0