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Total 149 records

    Considering forecasting errors in flexibility-oriented distribution network expansion planning using the spherical simplex unscented transformation

    , Article IET Generation, Transmission and Distribution ; Volume 14, Issue 24 , 2020 , Pages 5816-5822 Karimi Arpanahi, S ; Jooshaki, M ; Moein Aghtaie, M ; Fotuhi Firuzabad, M ; Lehtonen, M ; Sharif University of Technology
    Institution of Engineering and Technology  2020
    Abstract
    The rapid rise in the grid integration of low-carbon technologies, e.g. renewable energy sources (RESs) and plug-in electric vehicles (PEVs), has led to several challenges in distribution networks (DNs). This is due to the intermittent generation of RESs and uncertain loads of PEVs, both of which necessitate enhancing the flexibility requirements at the distribution level so as to accommodate the high penetration of these clean technologies in the future. To address such issues, this study proposes a mixed-integer linear programming-based expansion planning model for DNs considering the impact of high RES and PEV penetration, the associated uncertainties, and providing flexibility... 

    Structural design and analysis of a high reliability multi-turn wound-rotor resolver for electric vehicle

    , Article IEEE Transactions on Vehicular Technology ; Volume 69, Issue 5 , 2020 , Pages 4992-4999 Saneie, H ; Nasiri Gheidari, Z ; Tootoonchian, F ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2020
    Abstract
    Cost, durability and reliability are three critical issues in electrical/hybrid electrical vehicles (EV/HEV). In this regard, resolvers are often used as position and speed sensors in such applications. In this paper design and analysis of a novel multi-turn resolver is discussed to address all the mentioned issues. The proposed resolver has got one stator core and one rotor core. Double sets of signal windings on the stator and a special excitation winding on the rotor are designed to achieve both absolute and multi-speed operations. Mathematical model of the proposed resolver is verified using time stepping finite element analysis and experimental measurements. © 1967-2012 IEEE  

    Robust optimization of renewable-based multi-energy micro-grid integrated with flexible energy conversion and storage devices

    , Article Sustainable Cities and Society ; Volume 64 , 2021 ; 22106707 (ISSN) Lekvan, A. A ; Habibifar, R ; Moradi, M ; Khoshjahan, M ; Nojavan, S ; Jermsittiparsert, K ; Sharif University of Technology
    Elsevier Ltd  2021
    Abstract
    This paper presents a new model for optimal scheduling of renewable-based multi-energy microgrid (MEM) systems incorporated with emerging high-efficient technologies such as electric vehicle (EVs) parking lots, power-to-gas (P2G) facility, and demand response programs. The proposed MEM is equipped with wind energy, multi-carrier energy storage technologies, boiler, combined heat and power unit, P2G, EVs, and demand response with the aim of total operational cost minimization. Meanwhile, the system operator can participate in three electricity, heat, and gas market to meet local demands as well as achieve desired profits through energy exchanges. The proposed MEM is exposed to high-level... 

    Utilization of in-pipe hydropower renewable energy technology and energy storage systems in mountainous distribution networks

    , Article Renewable Energy ; Volume 172 , 2021 , Pages 789-801 ; 09601481 (ISSN) Saber, H ; Mazaheri, H ; Ranjbar, H ; Moeini Aghtaie, M ; Lehtonen, M ; Sharif University of Technology
    Elsevier Ltd  2021
    Abstract
    Million miles of gravity-fed drinking water and sewage pipelines around the world, especially in rural and urban areas in mountain ranges, have introduced a new renewable energy sources (RES), i.e., in-pipe hydropower systems (IHS). Output power of this technology, similar to other types of RES, suffers from intermittency, while it is still more predictable in comparison to other technologies of RESs. Besides, energy storage systems (ESS) are introduced as a pivotal technology for dealing with the intermittent and non-dispatchable characteristics of IHS through spatio-temporal arbitrage. This paper aims to develop a stochastic mixed-integer linear programming (MILP) formulation that... 

    Pave the way for sustainable smart homes: A reliable hybrid AC/DC electricity infrastructure

    , Article Electric Power Systems Research ; Volume 210 , 2022 ; 03787796 (ISSN) Ardalan, C ; Vahidinasab, V ; Safdarian, A ; Shafie khah, M ; Catalão, J. P. S ; Sharif University of Technology
    Elsevier Ltd  2022
    Abstract
    The development of emerging smart grid technologies has led to more and more penetration of renewable energy resources and electric energy storage in the residential sectors. Besides, owing to the significant evolution of power electronic devices, there is a rapid growth in penetration of DC loads and generations, such as PV and electric vehicles (EVs), into the buildings and homes as a building block of the future smart cities. This is despite the fact that the electricity infrastructure of the conventional buildings is designed based on AC electricity and as a result, there would be a lot of losses due to the frequent power conversion from AC to DC and vice versa. Besides, according to a... 

    Power management strategies based on propellers speed control in waves for mitigating power fluctuations of ships

    , Article IEEE Transactions on Transportation Electrification ; Volume 8, Issue 3 , 2022 , Pages 3247-3260 ; 23327782 (ISSN) Nasiri, S ; Peyghami, S ; Parniani, M ; Blaabjerg, F ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2022
    Abstract
    This article proposes two novel power management strategies (PMSs) to enhance the electrical power quality in twin-screw all-electric ships (AESs) during vessel-wave encountering. Soothing PMS (SPMS) focuses on mitigating power fluctuations of the propulsion system since it has significant impacts on the power system in extreme conditions. For this purpose, the PMS modifies propellers' speed based on the in-and-out-of-water effect loss factor (LF) in wave collisions. This method does not require typical equipment, such as energy storage systems (ESSs), to moderate the variations. Hence, it decreases the ESS demand capacity and maintenance costs at the design and operation levels. An... 

    IoT-based intelligent source–load–storage coordination scheme for prosumer campus microgrids

    , Article Frontiers in Energy Research ; Volume 10 , 2022 ; 2296598X (ISSN) Abdul Muqeet, H ; Shahzad, M ; Shehzad, M ; Akhter, J ; Almohaimeed, Z. M ; Akram, R ; Hussain, M. M ; Sharif University of Technology
    Frontiers Media S.A  2022
    Abstract
    Electrical energy is very necessary for human life in the modern era. The rising energy prices, depletion of fossil fuels, and instability of the grid are alarming situations. So, it needs a smart solution to ensure the balance between pricing and saving natural resources. Some other issues like environmental change, limitations on installation of new transmission lines, reliability concerns, and considering the expansion in distributed energy generation technologies promise the implementation of distributed generation extensively. The integration of two or more energy supplies in a power system is known as distributed energy resource system. In this study, a university campus is taken as a... 

    Policy Instruments for the Improvement of Customers’ Willingness to Purchase Electric Vehicles: A Case Study in Iran

    , Article Energies ; Volume 15, Issue 12 , 2022 ; 19961073 (ISSN) Allahmoradi, E ; Mirzamohammadi, S ; Naeini, A. B ; Maleki, A ; Mobayen, S ; Skruch, P ; Sharif University of Technology
    MDPI  2022
    Abstract
    Given the various advantages of electric vehicles compared to conventional gasoline vehicles in terms of energy efficiency and environmental pollution (among others), this paper studies the factors affecting customers’ willingness to purchase electric vehicles. An integrated discrete choice and agent-based approach is applied to model the customers’ choice for the valuation of electric vehicles based on the internal reference price. The agent-based model evaluates customers’ preferences for a number of personal and vehicle attributes, according to which vehicle they chose. Data from 376 respondents are collected to estimate a random-parameter logit model where customers are asked to reveal... 

    An agent-based model for optimal voltage control and power quality by electrical vehicles in smart grids

    , Article 15th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2018, 20 June 2018 through 22 June 2018 ; Volume 801 , 2019 , Pages 388-394 ; 21945357 (ISSN); 9783319996073 (ISBN) Hadizade, A ; Sharif University of Technology
    Springer Verlag  2019
    Abstract
    The electric power industry is the main part of Science development, and today, with the advent of technology, the demand for electric power has been expanded. On the other hand, smart grids are developing heavily. One of the notable features of these networks is the presence of a plug-in hybrid electric vehicle (PHEV). The addition of these cars to the network has its own advantages and disadvantages. One of the most important issues in smart grids is network management and control of critical system parameters. In this paper the effect of these cars on the grid is investigated. These vehicles impose an increase in production capacity in the uncontrolled charge mode. They also have the...