Published: Jan. 1, 2024
Language: Английский
Published: Jan. 1, 2024
Language: Английский
Applied Energy, Journal Year: 2025, Volume and Issue: 384, P. 125449 - 125449
Published: Feb. 9, 2025
Language: Английский
Citations
0Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106176 - 106176
Published: Feb. 1, 2025
Language: Английский
Citations
0Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 446, P. 141350 - 141350
Published: Feb. 19, 2024
Language: Английский
Citations
1Frontiers in Energy Research, Journal Year: 2024, Volume and Issue: 12
Published: Oct. 29, 2024
Compared to traditional resources, user-side resources are of various types and have more significant uncertainty about their regulatory capacity, leading difficulties in coordinating decisions simultaneous participation the electric energy peaking ancillary services markets. This paper proposes a joint bidding decision-making method for day-ahead electricity peak shaving auxiliary service market based on distributed robust opportunity constraints, which addresses problem difficulty using an accurate probability density distribution represent process resources. Firstly, data-driven characterizing load regulation capacity is investigated, fuzzy sets constructed without assuming specific distributions random variables. Then, minimize risk expectation cost customer side, strategy that considers proposed. Finally, example simulation verifies reasonableness effectiveness proposed method, results show model overcomes over-conservatism model, computational adaptability better than stochastic achieves balance between robustness economy.
Language: Английский
Citations
0Published: Jan. 1, 2024
Language: Английский
Citations
0