Published: Dec. 6, 2024
Language: Английский
Published: Dec. 6, 2024
Language: Английский
Energy, Journal Year: 2024, Volume and Issue: 305, P. 132080 - 132080
Published: June 27, 2024
Language: Английский
Citations
10Applied Energy, Journal Year: 2025, Volume and Issue: 384, P. 125366 - 125366
Published: Jan. 29, 2025
Language: Английский
Citations
1Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 101, P. 113997 - 113997
Published: Oct. 1, 2024
Language: Английский
Citations
4Renewable Energy, Journal Year: 2025, Volume and Issue: 241, P. 122320 - 122320
Published: Jan. 5, 2025
Language: Английский
Citations
0Published: Jan. 1, 2025
Language: Английский
Citations
0Renewable Energy, Journal Year: 2024, Volume and Issue: unknown, P. 121937 - 121937
Published: Nov. 1, 2024
Language: Английский
Citations
3Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 98, P. 112782 - 112782
Published: July 29, 2024
Language: Английский
Citations
1Renewable Energy, Journal Year: 2024, Volume and Issue: unknown, P. 121682 - 121682
Published: Oct. 1, 2024
Language: Английский
Citations
1Energy, Journal Year: 2024, Volume and Issue: unknown, P. 133873 - 133873
Published: Nov. 1, 2024
Language: Английский
Citations
1Published: Jan. 1, 2024
In response to climate change and the need decrease carbon emissions, penetration of renewable energies into power grids is growing dramatically. However, high intermittence low inertia energy pose significant risks frequency security. The advanced adiabatic compressed air storage (AA-CAES) a promising solution enhancing grid security due its flexible properties. Therefore, based on distributionally robust optimization, this paper proposes dispatch strategy with participation AA-CAES enhance Firstly, dispatch-friendly model proposed can reflect impacts part-load features dis-/charging efficiencies capacities. Subsequently, presented establish constraints, ensuring compliance minimum maximum deviation requirements. Furthermore, cope randomness energy, formulated as optimization problem "min-max-min" structure. day-ahead stage, optimal on/off schedules for generators be determined according worst probability distribution in second stage providing sufficient inertia. intra-day generation adjusted minimize deviation. Finally, numerical studies are tested modified IEEE-39 bus system. simulation results demonstrate validity feasibility supporting
Language: Английский
Citations
0