Open AccessInterval based robust chance constrained allocation of demand response programs in wind integrated power systems
Author(s) -
Nikoobakht Ahmad,
Aghaei Jamshid,
Shafiekhah Miadreza,
Catalão João P.S.
Publication year - 2019
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
eISSN - 1752-1424
pISSN - 1752-1416
DOI - 10.1049/iet-rpg.2018.5635
Subject(s) - robustness (evolution) , demand response , mathematical optimization , computer science , electric power system , wind power , robust optimization , grid , scheduling (production processes) , interval (graph theory) , power system simulation , reliability engineering , operations research , power (physics) , engineering , mathematics , electricity , biochemistry , chemistry , physics , geometry , quantum mechanics , combinatorics , electrical engineering , gene
This study presents an interval based robust chance constrained (IBRCC) optimisation model for allocating demand response program to effective buses of the power systems considering wind uncertainty and equipment failures. In the proposed formulation, an interval based robust approach is applied to evaluate the highest uncertainty spectrum of the wind power generation that the power system can tolerate. Accordingly, to cope with the uncertainty sources, chance‐based constraints are implemented. In the proposed IBRCC optimisation framework, the level of the optimal solution robustness is probabilistically maximised subject to a set of operational constraints. Besides, to facilitate the massive integration of uncertain wind generation and to mitigate congestion in the transmission grid, an efficient allocation, and scheduling scheme of demand response programs is proposed. The proposed model is evaluated on the IEEE 24 bus system.