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stochastic-planning
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Stochastic framework for planning studies of energy systems: A case of EHs
, Article IET Renewable Power Generation ; Volume 14, Issue 3 , 2020 , Pages 435-444 ; Ghoraani, R ; Pasban, A ; Moeini-Aghtaie, M ; Safdarian, A ; Sharif University of Technology
Institution of Engineering and Technology
2020
Abstract
The substantial presence of different uncertainties in energy systems highlights the need for probabilistic analysis of operational and planning studies. Motivated by this fact, a new stochastic planning framework for energy hubs (EHs) is presented in this study based on the probability transformation concept. In the proposed framework, a measure of relative-likelihood impact is developed to estimate the importance of uncertainty sources in the studies, which, in turn, can remarkably reduce the overall complexity of stochastic problems. Step-by-step algorithm for implementation of the proposed framework on planning studies of an EH is also addressed in this study. Three different case...
Bi-level planning of distributed energy resources into existing transmission grids: Pathway to sustainable energy systems
, Article IET Generation, Transmission and Distribution ; Volume 16, Issue 24 , 2022 , Pages 4963-4979 ; 17518687 (ISSN) ; Saber, H ; Sharifzadeh, M ; Sharif University of Technology
John Wiley and Sons Inc
2022
Abstract
This paper presents a novel stochastic planning framework for the integration of renewable distributed energy resources (DERs) into existing power systems without relying on new investments in the transmission networks. The upper-level problem of the proposed model aims at minimizing the total expected social cost of supplying demand that includes the expected cost of getting energy from conventional generating units and DERs, the congestion cost of transmission networks, and the greenhouse gas (GHG) emission cost, while each of the privately invested DER satisfies a specified rate of return. The lower-level problem clears the electricity market to find locational marginal prices (LMPs) and...