Open AccessFlexible units planning and operational optimization model under large-scale wind power access
Author(s) -
Jing Gou,
Weiting Xu,
Xinting Yang,
Yunche Su,
Zhibo Jin,
Hao Xu,
Huaqiang Li
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/467/1/012087
Subject(s) - flexibility (engineering) , solver , wind power , computer science , grid , mathematical optimization , stochastic programming , scale (ratio) , matching (statistics) , transformation (genetics) , power (physics) , electric power system , resource (disambiguation) , reliability engineering , engineering , mathematics , biochemistry , statistics , physics , geometry , electrical engineering , chemistry , quantum mechanics , gene , computer network
After large-scale wind power access to the power grid, the requirements of flexibility of power system become higher, and it is necessary to transform the flexibility of the largest proportion of resources, the thermal units. Firstly, a mathematical model of flexibility requirements and supply of power system is established. Secondly, a supply and demand of flexibility matching probability model based on stochastic chance-constrained programming is built (CCP). Then, a flexible resource planning and operation optimization model is proposed aim to minimize the operational cost of the system. After the transformation of the model, it is solved by using the commercial solver CPLEX. Finally, an example is used to verify the validity of the model. The results show that after the transformation the thermal units can promote the consumption of wind power and reduce the total cost of planning and operation.