Open AccessPower system reserve scheduling with wind farm integration considering robust security constraints
Author(s) -
Fei Dou,
Jinmin Cheng,
Weiyuan Wang,
Xuan Yang,
Kai Xia,
Yiqing Xu,
Wan Zhang
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 - 10.1088/1742-6596/1633/1/012102
Subject(s) - mathematical optimization , robust optimization , linearization , scheduling (production processes) , computer science , linear programming , wind power , electric power system , interval (graph theory) , control theory (sociology) , stochastic programming , power (physics) , control (management) , engineering , mathematics , nonlinear system , physics , quantum mechanics , combinatorics , artificial intelligence , electrical engineering
The fluctuation of real-time wind power output and the capacity limits of transmission network have been identified as bottlenecks to integrate wind power in power system operation. This paper proposes a novel model of robust linear optimization for the reserve scheduling considering the secondary frequency the power network security constraints. In this model, the linearization decision rule is introduced to describe the allocation of the secondary frequency control reserves; the mean value and unsymmetrical interval bound instead of the probability distribution are used to describe the wind power uncertainty. The stochastic robust linear optimization model is converted into a deterministic linear programming, thus achieving the tractability. Case studies are carried out to verify the effectiveness of the proposed method.