Open AccessResearch on modelling and solution of stochastic SCUC under AC power flow constraints
Author(s) -
Nan Yang,
Di Ye,
Zheng Zhou,
Jiazhan Cui,
Daojun Chen,
Xiaoming Wang
Publication year - 2018
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2017.1845
Subject(s) - power system simulation , wind power , mathematical optimization , schedule , power flow , scheduling (production processes) , electric power system , computer science , scale (ratio) , voltage , limit (mathematics) , power (physics) , engineering , mathematics , electrical engineering , mathematical analysis , physics , quantum mechanics , operating system
With the more precise day‐ahead scheduling strategy for large‐scale wind power integration, a model of stochastic security‐constrained unit commitment (SCUC) under AC constraints is built and its corresponding solution is given here. A unit commitment model under AC power flow is developed based on network security constraints considering the uncertainty of wind power. In order to analyse this model in time, an ordinal optimisation is presented. The proposed method is verified by the numerical test on a modified IEEE‐118 test system. The results show that the risk of voltage over‐limit in large‐scale wind power integration can be reduced effectively. Meanwhile, the validity of day‐ahead generation schedule is enhanced. Furthermore, the computational efficiency of the proposed algorithm is improved significantly compared with that of the traditional one.