Open AccessFlexible two‐stage robust model for moving the transmission and reactive power infrastructures expansion planning towards power system integration of renewables
Author(s) -
Olfatinezhad Nader,
Vahidinasab Vahid,
Ahmadian Mohammad,
Arasteh Hamidreza,
Aghaei Jamshid,
Mehran Kamyar
Publication year - 2020
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.2019.0287
Subject(s) - robustness (evolution) , ac power , benders' decomposition , mathematical optimization , electric power system , reliability engineering , robust optimization , engineering , computer science , power (physics) , voltage , mathematics , electrical engineering , biochemistry , chemistry , physics , quantum mechanics , gene
This study proposes a two‐stage robust optimisation framework to model uncertainties in construction cost, load and renewable power generations (RPGs) in the coordinated transmission and reactive power infrastructure expansion planning problem. The proposed planning model, based on the network AC model and its voltage constraints, is represented as a mixed‐integer linear programing problem with the aim of minimising: (i) the construction costs of lines, (ii) installation cost of reactive power resources and (iii) active load shedding as RPGs curtailment. Using the suggested robust optimisation approach, the best expansion plan is obtained even in the worst case of the defined uncertainty sets and the plan robustness level is controlled via parameter definition for the individual uncertainty sets. The Benders decomposition algorithm is used to solve the two‐stage problem where the plan security level is also taken into consideration using the N −1 contingency criterion. The standard Garver 6‐bus system and the IEEE 24‐bus reliability test system are used to validate the proposed robust framework.