Open AccessA New Probability Evaluation Model and Method of Wind Power Absorption Capability Based on Multi-Scenario Operation Simulation
Author(s) -
Xuxia Li,
Yao Wang,
Yingying Hu,
Peng Wang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1449/1/012076
Subject(s) - computer science , wind power , power (physics) , transmission (telecommunications) , probabilistic logic , absorption (acoustics) , reliability engineering , peaking power plant , simulation , electric power system , environmental science , engineering , telecommunications , electrical engineering , materials science , physics , quantum mechanics , artificial intelligence , composite material
This paper proposed a probabilistic evaluation method of wind power absorption capacity considering interregional interaction based on multi-scenario operation simulation. The time scale of this method is pre-day, and many factors related to wind power absorption can be considered comprehensively, such as peak shaving capacity, frequency modulation capacity, load tracking capacity, rotating reserve capacity and network transmission capacity, which can provide a Multidimensional ratio evaluation of wind power absorption capacity which could identify the short-board factors that restrict wind power absorption. This paper provides a general framework for wind power absorptive capacity assessment. In the practical application of power system, the constraints can be flexibly chosen according to their own characteristics. The analysis results of the above examples show that the proposed method can effectively consider the inter-regional interaction, and can simulate and evaluate the system more accurately.