Open AccessReliability‐based model for generation and transmission expansion planning
Author(s) -
Ahmadi Abdollah,
Mavalizadeh Hani,
Zobaa Ahmed F.,
Shayanfar Heidar Ali
Publication year - 2017
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.2016.1058
Subject(s) - robustness (evolution) , planner , mathematical optimization , computer science , linear programming , reliability engineering , range (aeronautics) , robust optimization , decision model , reliability (semiconductor) , constraint (computer aided design) , engineering , mathematics , power (physics) , physics , quantum mechanics , mechanical engineering , biochemistry , chemistry , machine learning , gene , programming language , aerospace engineering
This study presents a mixed integer linear multi‐objective model based on information gap decision theory, which is used to solve coordinated multiyear generation and transmission expansion planning problems. The model maximises the robustness of each uncertain parameter while a maximum allowable budget range is set. Fuel transportation price is considered. The results provide a numerical tool for system planner to help him adjust the appropriate level of robustness for each uncertain parameter of the problem. Extra limits on security, gaseous emission and fuel availability are considered. A multi‐objective method called the ɛ ‐constraint method is used here to maximise the robust region of load and investment costs simultaneously. The model is implemented on a six‐bus Garver test system and 24‐bus IEEE test system. The numerical results show the good performance of the model.