Open AccessDecentralised hybrid robust/stochastic expansion planning in coordinated transmission and active distribution networks for hosting large‐scale wind energy
Author(s) -
Nikoobakht Ahmad,
Aghaei Jamshid,
Massrur Hamid Reza,
Hemmati Rasul
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.2019.0888
Subject(s) - renewable energy , distributed generation , wind power , transmission (telecommunications) , computer science , mathematical optimization , scale (ratio) , engineering , telecommunications , mathematics , electrical engineering , physics , quantum mechanics
Today, coordinated expansion planning is one of the key challenges for electricity systems including active distribution networks (ADNs) and transmission networks (TNs) hosting distributed renewable generation as well as large‐scale wind energy generation. Accordingly, this study presents a decentralised hybrid robust and stochastic (HR&S) expansion planning optimisation method to determine a robust generation and transmission planning for a TN and stochastic expansion planning for ADNs. The proposed HR&S planning model is formulated with the objective of achieving an effective expansion of both TN&ADN while minimises the investment and operation costs of TN&ADN planning considering wind uncertainty in TNs and load uncertainty in ADNs. Finally, the IEEE 30‐bus test system has been analysed to show the effectiveness of the proposed TN&ADN expansion planning framework and decentralised solution strategy.