Energy, Journal Year: 2024, Volume and Issue: unknown, P. 134162 - 134162
Published: Dec. 1, 2024
Language: Английский
Energy, Journal Year: 2024, Volume and Issue: unknown, P. 134162 - 134162
Published: Dec. 1, 2024
Language: Английский
Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135761 - 135761
Published: March 1, 2025
Language: Английский
Citations
1Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135448 - 135448
Published: March 1, 2025
Language: Английский
Citations
0Lecture notes in electrical engineering, Journal Year: 2025, Volume and Issue: unknown, P. 382 - 393
Published: Jan. 1, 2025
Language: Английский
Citations
0IET Generation Transmission & Distribution, Journal Year: 2025, Volume and Issue: 19(1)
Published: Jan. 1, 2025
ABSTRACT To fulfill the frequency control requirements of power system, virtual plants (VPPs) need to aggregate and coordinate a large number flexible resources. Traditional static aggregation methods, which fixed composition coordination strategy resources, face significant challenges with diverse requirements. address this issue, paper proposes dynamic multiple resources in VPPs meet evolving performance control. First, K‐medoids clustering method is applied reduce dimension large‐scale thereby reducing complexity difficulty controlling Then, considering that intra‐hour as well resource pool are usually minor changing, two‐stage optimization model based on submodular theory for dynamical aggregation, enables rapid selection allocation VPPs. The effectiveness proposed validated IEEE 10‐generator 39‐bus system 10,000 results show compared existing techniques, enhances flexibility reduces calculation time by almost 22 times while guaranteeing performance.
Language: Английский
Citations
0Energy, Journal Year: 2024, Volume and Issue: unknown, P. 134162 - 134162
Published: Dec. 1, 2024
Language: Английский
Citations
2