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Decentralised hybrid robust/stochastic expansion planning in coordinated transmission and active distribution networks for hosting large-scale wind energy
, Article IET Generation, Transmission and Distribution ; Volume 14, Issue 5 , 2020 , Pages 797-807 ; Aghaei, J ; Massrur, H. R ; Hemmati, R ; Sharif University of Technology
Institution of Engineering and Technology
2020
Abstract
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...
A triangular type-2 multi-objective linear programming model and a solution strategy
, Article Information Sciences ; Vol. 279 , 2014 , Pages 816-826 ; ISSN: 00200255 ; Mahdavi Amiri, N ; Sharif University of Technology
Abstract
We consider a multi-objective linear programming model with type-2 fuzzy objectives. The considered model has the flexibility for the user to specify the more general membership functions for objectives to reflect the inherent fuzziness, while being simple and practical. We develop two solution strategies with reasonable computing costs. The additional cost, as compared to the type-1 fuzzy model, is indeed insignificant. These two algorithms compute Pareto optimal solutions of the type-2 problems, one being based on a maxmin approach and the other on aggregating the objectives. Finally, applying the proposed algorithms, we work out two illustrative examples