Developing a New Framework for Expansion Planning Studies of Active Distribution Networks Based on Optimal Management of Energy Resources

, Ph.D. Dissertation Sharif University of Technology Kabirifar, Milad (Author) ; Fotuhi Firuzabad, Mahmud (Supervisor) ; Moeini-Aghtaie, Moein (Co-Supervisor)

Abstract

Expansion planning of distribution network assets is of importance to reliably supply the growing demand. Growing penetration of distributed energy resources (DERs) including renewable based distributed generators (DGs), conventional DGs, energy storage systems, and demand response (DR) resources in the network as well as their operational advantages make it necessary to address the investment planning of these resources in addition to the network assets. In order to effectively utilize the DERs and to solve the challenges arisen by their increasing penetration, active distribution networks (ADNs) are introduced which offer active network management capability. Passing through traditional...

Fair and Efficient Cake Cutting

, M.Sc. Thesis Sharif University of Technology Mirfakhar, Amir Mahdi (Author) ; Ghodsi, Mohammad (Supervisor)

Abstract

Cake Cutting is an old problem that studies how to allocate a resource among a number of agents to achieve fairness or maximize the revenue by selling the chunks fairly. The primary assumption in the conventional methods of studying Cake Cutting was that the allocator knows everything about the agents and their valuation functions for the different cuts of the cake, which could be impossible in real life. Here we addressed a new setting for an online Cake Cutting problem with unconnected pieces and studied four different objectives upon the setting. There we studied fair and efficient Online Cake Cutting by means of linear fairness and envy freeness. We also added a payment rule to study the...

Distributed Cache Management Using Reinforcement Learning based Strategies

, M.Sc. Thesis Sharif University of Technology Yousefi Ramandi, Amir Hossein (Author) ; Mir Mohseni, Mahtab (Supervisor) ; Maddah Ali, Mohammad Ali (Supervisor)

Abstract

Nowadays, video on demand causes a drastic increase in network traffic that it is expected that network traffic surpasses 45 exabytes per month until 2022; consequently, utilizing distributed memories known as caches across the network to alleviate the communication load during peak hours is inevitable. Coded caching is a promising approach to mitigate and smooth traffic during peak hours in the communication network in a way that it creates coded multicasting opportunities in addition to delivering content to users locally. However, it suffers from imposed delay resulting from coding that makes this approach infeasible for delay-sensitive contents, namely video streaming applications. So...