Open AccessTwo‐stage algorithm for efficient transmission expansion planning with renewable energy resources
Author(s) -
Majumder Subir,
Shereef R. M.,
Khaparde Shrikrishna A.
Publication year - 2017
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.2016.0085
Subject(s) - mathematical optimization , computer science , time horizon , economic dispatch , renewable energy , scheduling (production processes) , algorithm , electric power system , engineering , mathematics , power (physics) , physics , quantum mechanics , electrical engineering
In this study, a ‘two‐stage’ deterministic algorithm an for efficient transmission expansion planning with renewable energy (RE) resources under the assumption that existing conventional generators provide the reserve to mitigate RE generation forecast error has been proposed. Zero‐RE penetration has been considered as a ‘reference scenario’, as well as cost‐minimisation objective has been considered as a planning criterion in Stage 1 . In the proposed algorithm, Stage 2 is required to be solved only if the network performance degrades in relation to the reference scenario. In Stage 2 , congestion cost is also incorporated as a sub‐objective. Here, the locational marginal prices of the unit scheduling problem obtained from the solution of Stage 1 have been used to calculate the congestion cost. In addition to being computationally tractable, the proposed algorithm guarantees performance improvement in the network. The planning horizon is divided into smaller blocks to facilitate delayed investment. When implemented on an IEEE 24‐bus reliability test system, the proposed algorithm generated minimum cost plan with better performance.