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    Optimal allocation of PHEV parking lots to minimize distribution system losses

    , Article IEEE Eindhoven PowerTech, PowerTech 2015 ; 2015 ; 9781479976935 (ISBN) Mazidi, M ; Abbaspour, A ; Fotuhi Firuzabad, M ; Rastegar, M ; Sharif University of Technology
    Abstract
    To tackle the air pollution issues, Plug-in Hybrid Electric Vehicles (PHEVs) are proposed as an appropriate solution. Charging a large amount of PHEV batteries, if not controlled, would have negative impacts on the distribution system. The control process of charging of these vehicles can be centralized in parking lots that may provide a chance for better coordination than the individual charging in houses. In this paper, an optimization-based approach is proposed to determine the optimum PHEV parking capacities in candidate nodes of the distribution system. In so doing, a profile for charging and discharging of PHEVs is developed in order to flatten the network load profile. Then, this... 

    Distribution transformer relocation problem: an integer programming solution

    , Article IET Generation, Transmission and Distribution ; Volume 15, Issue 1 , 2021 , Pages 108-120 ; 17518687 (ISSN) Azimi Hosseini, K ; Hajiaghapour Moghimi, M ; Hajipour, E ; Vakilian, M ; Sharif University of Technology
    John Wiley and Sons Inc  2021
    Abstract
    The short-term expansion planning of the private utilities, as well as the emerging technologies such as photovoltaic panels (PVs), plug-in hybrid electric vehicles (PHEVs), cryptocurrency mining, and storage elements spread, make the long-term load estimation of distribution transformers (DTs) noticeably imprecise. In response, the number of overload and underload transformers is growing in recent years. The utilities normally analyse the loading of their DTs annually to determine the DTs, which should be replaced. It is a common practice for utilities to relocate these DTs to reduce the investment needed to purchase new transformers. Therefore, the utility needs a systematic algorithm to... 

    Energy management of Plug-In Hybrid Electric Vehicles in renewable-based energy hubs

    , Article Sustainable Energy, Grids and Networks ; Volume 32 , 2022 ; 23524677 (ISSN) Moeini Aghtaie, M ; Dehghanian, P ; Davoudi, M ; Sharif University of Technology
    Elsevier Ltd  2022
    Abstract
    Proliferation of Plug-in Hybrid Electric Vehicles (PHEVs) and integration of various distributed generation (DG) technologies have been recognized to play an undeniable role in modern power systems of the future. In order to effectively model the interactions of these two technologies, this paper develops a multi-criteria framework to coordinate the charging behaviors of PHEVs within an energy hub platform. In this regard, the desirable charging profiles from the viewpoint of both PHEV owners and hub manager are first captured and reported to the PHEVs Coordinator Entity (PCE). The PCE, then, runs an optimization framework in which several criteria including the PHEV owners’ convenience,... 

    Investigating the impacts of plug-in hybrid electric vehicles on power distribution systems

    , Article IEEE Transactions on Smart Grid ; Volume 4, Issue 3 , 2013 , Pages 1351-1360 ; 19493053 (ISSN) Shafiee, S ; Fotuhi Firuzabad, M ; Rastegar, M
    2013
    Abstract
    Despite the economic and environmental advantages of plug-in hybrid electric vehicles (PHEVs), the increased utilization of PHEVs brings up new concerns for power distribution system decision makers. Impacts of PHEVs on distribution networks, although have been proven to be noticeable, have not been thoroughly investigated for future years. In this paper, a comprehensive model is proposed to study the PHEV impacts on residential distribution systems. In so doing, PHEV fundamental characteristics, i.e., PHEV battery capacity, PHEV state of charge (SOC), and PHEV energy consumption in daily trips, are accurately modeled. As some of these effective characteristics depend on vehicle owner's... 

    Outage management in residential demand response programs

    , Article IEEE Transactions on Smart Grid ; Volume 6, Issue 3 , August , 2015 , Pages 1453-1462 ; 19493053 (ISSN) Rastegar, M ; Fotuhi Firuzabad, M ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2015
    Abstract
    This paper proposes a novel optimization based home load control (HLC) to manage the operation periods of responsive electrical appliances, determine several recommended operation periods for nonresponsive appliances, and schedule the charge/discharge cycling of plug-in hybrid electric vehicle (PHEV) considering various customer preferences. The customer preferences are in the format of payment cost, interruption cost, and different operational constraints. The projected algorithm is online, in which household appliances are initially scheduled based on the payment cost, and when the home load is interrupted, the scheduling will be updated to minimize customer interruption cost. Due to... 

    An isolated bidirectional integrated plug-in hybrid electric vehicle battery charger with resonant converters

    , Article Electric Power Components and Systems ; Volume 44, Issue 12 , 2016 , Pages 1371-1383 ; 15325008 (ISSN) Ebrahimi, S ; Akbari, R ; Tahami, F ; Oraee, H ; Sharif University of Technology
    Taylor and Francis Inc  2016
    Abstract
    Plug-in hybrid electric vehicles draw electricity from the electrical grid and store energy in their batteries. To increase charge availability for plug-in hybrid electric vehicles, on-board chargers can be used, which should be small in size and lightweight. In this article, an on-board bidirectional soft-switched battery charger is proposed that utilizes a phase-shift-controlled dual-bridge series resonant converter with isolation. The bidirectional characteristic of proposed charger makes it suitable for vehicle-to-grid operation (i.e., injecting power from the vehicle to the grid) in smart grids. A switching control scheme is also proposed to provide soft-switching operation for all... 

    Charging/discharging management of electric vehicles: technical viewpoint

    , Article 2016 Smart Grids Conference, SGC 2016, 20 December 2016 through 21 December 2016 ; 2017 , Pages 1-6 ; 9781509049882 (ISBN) Farzin, H ; Fotuhi Firuzabad, M ; Moeini Aghtaie, M ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2017
    Abstract
    This paper investigates three different strategies for centralized charging/discharging management of electric vehicles, their features and the impacts on technical performance of distribution systems. Three goals of load factor maximization, load variance reduction and energy loss minimization are chosen as the main technical factors need to be optimized in the proposed electric vehicles charging/discharging management strategies. In this regard, at first, the mathematical model of these strategies for both cases of with/without vehicle-to-grid (V2G) programs are extracted. Then, solving procedure of the attained optimization problems with different optimization methods are explained. These... 

    Charging/discharging management of electric vehicles: technical viewpoint

    , Article 2015 Smart Grid Conference, SGC 2015, 23 December 2015 through 24 December 2015 ; 2017 , Pages 158-163 ; 9781509003693 (ISBN) Farzin, H ; Fotuhi Firuzabad, M ; Moeini Aghtaie, M ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2017
    Abstract
    This paper investigates three different strategies for centralized charging/discharging management of electric vehicles, their features and the impacts on technical performance of distribution systems. Three goals of load factor maximization, load variance reduction and energy loss minimization are chosen as the main technical factors need to be optimized in the proposed electric vehicles charging/discharging management strategies. In this regard, at first, the mathematical model of these strategies for both cases of with/without vehicleto- grid (V2G) programs are extracted. Then, solving procedure of the attained optimization problems with different optimization methods are explained. These... 

    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... 

    Load management in a residential energy hub with renewable distributed energy resources

    , Article Energy and Buildings ; Volume 107 , November , 2015 , Pages 234-242 ; 03787788 (ISSN) Rastegar, M ; Fotuhi Firuzabad, M ; Sharif University of Technology
    Elsevier Ltd  2015
    Abstract
    This paper presents a residential energy hub model for a smart multi-carrier energy home consisting of plug-in hybrid electric vehicle (PHEV), combined heat and power (CHP), solar panels, and electrical storage system (ESS). The energy hub inputs are electricity and natural gas that provide electrical and heat demands at the output ports. In this paper, an optimization-based program is proposed to determine the optimal operation mode of the energy hub, to manage the energy consumption of responsive appliances, to schedule charging/discharging of PHEV and the storage system, and to coordinate solar panels operation with household responsive demand in response to day-ahead time-varying tariffs... 

    Plug-in hybrid electric vehicle battery charger with soft-switched dual-bridge resonant converter for smart grid applications

    , Article 7th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2016, 27 June 2016 through 30 June 2016 ; 2016 ; 9781467386166 (ISBN) Akbari, R ; Ebrahimi, S ; Tahami, F ; Oraee, H ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2016
    Abstract
    Battery chargers are fundamental components for successful deployment of plug-in hybrid electric vehicles (PHEVs) into future smart grid. Recently, an integrated isolated bidirectional battery charger has been proposed for PHEV applications. The proposed charger eliminates the conventional bulky dc-link capacitor by feeding a dual-bridge resonant tank directly from the three-phase grid. The disadvantages associated with the presented charger are the high number of semiconductor switches which contribute to high cost and switching losses of converter as well as complicated control circuitry. In this paper, the previous structure is modified to address the aforementioned drawbacks and is... 

    A probabilistic energy management scheme for renewable-based residential energy hubs

    , Article IEEE Transactions on Smart Grid ; Volume 8, Issue 5 , 2017 , Pages 2217-2227 ; 19493053 (ISSN) Rastegar, M ; Fotuhi Firuzabad, M ; Zareipour, H ; Moeini Aghtaieh, M ; Sharif University of Technology
    Abstract
    This paper proposes a new framework for home energy management (HEM) in the context of renewable-based residential energy hub using a probabilistic optimization approach. Different energy converters and storages, including combined heat and power, a plug-in hybrid electric vehicle, a heat storage unit, solar panels, and generic household appliances, are considered in the energy hub. The customer's energy cost is considered as the objective of the HEM optimization problem and different operational limits of the energy hub components are modeled as the constraints. The two-point estimate method is incorporated in this paper to model the uncertainty associated with output power of the rooftop... 

    Optimal distribution transformer sizing in a harmonic involved load environment via dynamic programming technique

    , Article Energy ; Volume 120 , 2017 , Pages 92-105 ; 03605442 (ISSN) Hajipour, E ; Mohiti, M ; Farzin, N ; Vakilian, M ; Sharif University of Technology
    Abstract
    Installation of a significant number of distributed generators (DGs), besides the application of non-sinusoidal loads such as; Plug-in Hybrid Electric Vehicles (PHEVs), in the emerging smart distribution networks and the industrial plants have posed a major challenge to the existing methods of optimal transformer sizing (OTS). The harmonic currents generated in these new environments not only substantially increase the transformer load losses, but also cause abnormal winding temperature rise and hence transformer excessive loss of life. Therefore, the harmonic contents of the loads currents should be accounted in choosing the appropriate size of distribution transformers. To address this... 

    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... 

    A novel management scheme to reduce emission produced by power plants and plug-in hybrid electric vehicles in a smart microgrid

    , Article International Journal of Environmental Science and Technology ; Volume 17, Issue 5 , 2020 , Pages 2529-2544 Ashrafi, R ; Soleymani, S ; Mehdi, E ; Sharif University of Technology
    Springer  2020
    Abstract
    Recently, with the growth and development of distributed generation (DGs) and energy storage systems (ESSs), as well as smart control equipment, microgrids (MGs) have been developed. Microgrids are comprised of a limited number of constitutive parts, including loads, DGs, ESSs, and electric vehicles (EVs). This paper presents a novel scheme to manage active and reactive powers, based on DGs, ESSs, and EVs to reduce the total operation cost including power generation and emission costs. Simultaneous management of active and reactive power makes it possible to consider grid operation constraints together. In the proposed schedule, the vehicles are assumed to be plug-in hybrid electric...