Open AccessDynamic robust generation–transmission expansion planning in the presence of wind farms under long‐ and short‐term uncertainties
Author(s) -
Ahmadi Saeid,
Mavalizadeh Hani,
Ghadimi Ali Asghar,
Miveh Mohammad Reza,
Ahmadi Abdollah
Publication year - 2020
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.2019.1838
Subject(s) - robustness (evolution) , time horizon , electric power system , wind power , term (time) , electricity , electricity demand , electric power transmission , computer science , electricity generation , production (economics) , engineering , reliability engineering , operations research , mathematical optimization , power (physics) , economics , mathematics , physics , quantum mechanics , electrical engineering , biochemistry , chemistry , macroeconomics , gene
The main goal of generation expansion planning (GEP) and transmission expansion planning (TEP) is to expand the power system to satisfy the increasing demand of electricity while maintaining efficient operation of the system. The major objective of this study is to propose a dynamic, robust GEP–TEP expansion planning in the presence of wind farms considering both long‐ and short‐term uncertainties. The suggested model allows implementing information‐gap decision theory on multi‐year long‐term uncertainties, such as demand growth and future increase in production capacity to decrease the risk in long‐term decisions. Additionally, a scenario‐based approach is employed for short‐term uncertainties in demand and wind power production in a 1‐year time horizon. The main advantage of the proposed model is to enhance the power system robustness against the uncertainties corresponding to forecast errors. To verify the robustness of the suggested expansion planning model, it is applied to the Garver 6‐bus and IEEE 24‐bus test systems.