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Expansion planning studies of independent-locally operated battery energy storage systems (BESSs): A CVaR-Based study
, Article IEEE Transactions on Sustainable Energy ; Volume 11, Issue 4 , 2020 , Pages 2109-2118 ; Heidarabadi, H ; Moeini Aghtaie, M ; Farzin, H ; Karimi, M. R ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2020
Abstract
Nowadays, the high penetration of renewable energy resources, with variable and unpredictable nature, poses major challenges to operation and planning studies of power systems. Employing energy storage systems (ESSs) has been introduced as an effective solution to alleviate these challenges. Several studies have been presented in the literature to provide a framework for expansion planning studies of ESSs. However, they usually have two main drawbacks: i) ignoring the positive effect of independent-locally operated ESSs on the bulk power system preferences, ii) inability to model the charge/discharge schedule of independent-locally operated ESSs based on their investors' acceptable risk...
Distributed Cross-layer Optimization in Wireless Sensor Networks
, M.Sc. Thesis Sharif University of Technology ; Pakravan, Mohammad Reza (Supervisor)
Abstract
In this thesis, our aim was to assess the resource allocation problem in wireless sensor netowroks and to optimize network utility and lifetime. To achieve these aims, it is nesseccary to solve resource allocation problem through optimization methods. Since the central methods need a central node to manage resource allocation, they can not be implemented in sensor networks because the nodes neighbors to this central node drain energy very quickly. Also, since central methods require transmission of all information about network topology to this central node, every change in network topology result in transmission of new network topology informations and therefore, overload for frequent...