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    Optimising operational cost of a smart energy hub, the reinforcement learning approach

    , Article International Journal of Parallel, Emergent and Distributed Systems ; 2014 ; ISSN: 17445760 Rayati, M ; Sheikhi, A ; Ranjbar, A. M ; Sharif University of Technology
    Abstract
    The concept of smart grid (SG) has been introduced to improve the operation of the power systems. In modern structures of power systems, different reasons prompt researchers to suggest integrated analysis of multi-carrier energy systems. Considering synergy effects of the couplings between different energy carriers and utilising intelligent technologies for monitoring and controlling of energy flow may change energy system management in the future. In this paper, we propose a new solution which is entitled ‘smart energy hub’ (SEH) that models a multi-carrier energy system in a SG. SEH solutions allow homeowners to manage their energy consumption to reduce their electricity and gas bill. We... 

    The impact of smart grid technology on dielectrics and electrical insulation

    , Article IEEE Transactions on Dielectrics and Electrical Insulation ; Volume 22, Issue 6 , 2015 , Pages 3505-3512 ; 10709878 (ISSN) Catterson, V. M ; Castellon, J ; Pilgrim, J. A ; Saha, T. K ; Ma, H ; Vakilian, M ; Moradnouri, A ; Gholami, M ; Sparling, B. D ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2015
    Abstract
    Delivery of the Smart Grid is a topic of considerable interest within the power industry in general, and the IEEE specifically. This paper presents the smart grid landscape as seen by the IEEE Dielectrics and Electrical Insulation Society (DEIS) Technical Committee on Smart Grids. We define the various facets of smart grid technology, and present an examination of the impacts on dielectrics within power assets. Based on the trajectory of current research in the field, we identify the implications for asset owners and operators at both the device level and the systems level. The paper concludes by identifying areas of dielectrics and insulation research required to fully realize the smart... 

    The development of a Smart Shoulder-wheel for Analysis of Shoulder Tendonitis Injuries

    , M.Sc. Thesis Sharif University of Technology Hashemi, Naser (Author) ; Behzadipour, Saeed (Supervisor)
    Abstract
    Nowadays the process of making smart rehabilitations' equipment is at the centre of physicists' attention, so this affair is a matter of research in the medical engineering.Amongst of the advantages of this method there are: increasing the efficiency, recording patients' information, no need for continuous physiotherapists and therapists' presence in all the process of medical treatment, and saving time and money. In addition, due to removing traditional methods of rehabilitation, the precision and control ability of medical treatment is considerably increased, reducing the unexpected injuries during the exercise. The shoulder wheel is one of the useful devise in clinics physiotherapy... 

    Dynamic load management for a residential customer; Reinforcement Learning approach

    , Article Sustainable Cities and Society ; Volume 24 , 2016 , Pages 42-51 ; 22106707 (ISSN) Sheikhi, A ; Rayati, M ; Ranjbar, A. M ; Sharif University of Technology
    Elsevier Ltd 
    Abstract
    United Nation aims to double the global rate of improvement in energy efficiency as one of the sustainable development goals. It means researchers should focus on energy systems to enhance their overall efficiency. One of the effective solution to move from suboptimal energy systems to optimal ones is analyzing energy system in Energy Hub (EH) framework. In EH framework, interactions between different energy carriers are considered in supplying the required loads. The couplings and selecting proper combinations of inputs energy carriers lead to more optimized and intelligent consumption. The appropriate combination is found by solving an optimization problem at each time step. Utilizing... 

    Smart materials, characteristics, applications and modeling

    , Article Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems 2009, SMASIS2009, 21 September 2009 through 23 September 2009, Oxnard, CA ; Volume 1 , 2009 , Pages 649-661 ; 9780791848968 (ISBN) Amini, A ; Mehdigholi, H ; Elahinia, M ; Sharif University of Technology
    Abstract
    This paper reviews the research results, characteristics, modeling and recent developments of smart materials specially shape memory alloys and smart composites. This field even involves smart fluids and it opens a new era to find new smart materials for eliminating their flaws by combination with other advanced materials. The purpose of this paper is showing the current research coordinate. These issues help to have a technological reference for these materials. At the end, there is specific attention to Nitinols and by experiments is shown that Oliver-Pharr formulation does not cover these material behaviors. These experiments cover some important aspects of Nitinols which have not been... 

    A mixed integer linear programming based approach for unit commitment in smart grid environment

    , Article Journal of Engineering Research ; Vol. 2, issue. 3 , November , 2014 , p. 131-157 ; 23071877 Ghadiri Anari, R ; Rashidinejad, M ; Fotuhi-Firuzabad, M ; Sharif University of Technology
    Abstract
    The future of power systems known as smart grids is expected to involve an increasing level of intelligence and incorporation of new information and communication technologies in every aspect of the power grid. Demand response resources and gridable vehicle are two interesting programs which can be utilized in the smart grid environment. Demand response resources can be used as a demand side virtual power plant (resource) to enhance the security and reliability of utility and have the potential to offer substantial benefits in the form of improved economic efficiency in wholesale electricity markets. An economic model of incentive responsive loads is modelled based on price elasticity of... 

    Optimising operational cost of a smart energy hub, the reinforcement learning approach

    , Article International Journal of Parallel, Emergent and Distributed Systems ; Volume 30, Issue 4 , Oct , 2015 , Pages 325-341 ; 17445760 (ISSN) Rayati, M ; Sheikhi, A ; Ranjbar, A. M ; Sharif University of Technology
    Taylor and Francis Ltd  2015
    Abstract
    The concept of smart grid (SG) has been introduced to improve the operation of the power systems. In modern structures of power systems, different reasons prompt researchers to suggest integrated analysis of multi-carrier energy systems. Considering synergy effects of the couplings between different energy carriers and utilising intelligent technologies for monitoring and controlling of energy flow may change energy system management in the future. In this paper, we propose a new solution which is entitled smart energy hub (SEH) that models a multi-carrier energy system in a SG. SEH solutions allow homeowners to manage their energy consumption to reduce their electricity and gas bill. We... 

    Smart power management of DC microgrids in future milligrids

    , Article 2016 18th European Conference on Power Electronics and Applications, EPE 2016 ECCE Europe, 5 September 2016 through 9 September 2016 ; 2016 ; 9789075815245 (ISBN) Peyghami Akhuleh, S ; Mokhtari, H ; Davari, P ; Loh, P. C ; Blaabjerg, F ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2016
    Abstract
    In this paper a novel droop approach for power management in low voltage dc MicroGrids (MGs) based on a master-slave concept is presented. A virtual frequency is injected by a master unit, which is proportional to its output power. Other slave units determine their output power according to the corresponding frequency based droop characteristics. Unlike the dc voltage-droop methods, the proposed virtual frequency-droop approach can be smartly applied for proportional power management among the energy units and loads as well as adding zero net energy capability to the MG. Both power flow and energy flow can be performed without utilizing an extra communication system. Simulation results... 

    A secure ECC-based privacy preserving data aggregation scheme for smart grids

    , Article Computer Networks ; Volume 129 , 2017 , Pages 28-36 ; 13891286 (ISSN) Vahedi, E ; Bayat, M ; Pakravan, M. R ; Aref, M. R ; Sharif University of Technology
    Abstract
    Development of Smart Grid and deployment of smart meters in large scale has raised a lot of concerns regarding customers’ privacy. Consequently, several schemes have been proposed to overcome the above mentioned issue. These schemes mainly rely on data aggregation as a method of protecting users’ privacy from the grid operators. However, the main problem with most of these schemes is the fact that they require a large amount of processing power at the meter side. This, together with the fact that smart meters don't usually have a powerful processor, can cause the unavailability of smart meter data at the required time for operators of the grid, and at the same time prevents smart meters from... 

    Evaluation of distributed stream processing frameworks for IoT applications in smart cities

    , Article Journal of Big Data ; Volume 6, Issue 1 , 2019 ; 21961115 (ISSN) Nasiri, H ; Nasehi, S ; Goudarzi, M ; Sharif University of Technology
    SpringerOpen  2019
    Abstract
    The widespread growth of Big Data and the evolution of Internet of Things (IoT) technologies enable cities to obtain valuable intelligence from a large amount of real-time produced data. In a Smart City, various IoT devices generate streams of data continuously which need to be analyzed within a short period of time; using some Big Data technique. Distributed stream processing frameworks (DSPFs) have the capacity to handle real-time data processing for Smart Cities. In this paper, we examine the applicability of employing distributed stream processing frameworks at the data processing layer of Smart City and appraising the current state of their adoption and maturity among the IoT... 

    Customer interruption cost in smart grids

    , Article IEEE Transactions on Power Systems ; Vol. 29, issue. 2 , 2014 , p. 994-995 ; ISSN: 8858950 Safdarian, A ; Lehtonen, M ; Fotuhi-Firuzabad, M ; Billinton, R ; Sharif University of Technology
    Abstract
    Customers participating in demand response programs known as active customers provide significant flexibility in demand, thereby causing a meaningful reduction in customer interruption cost (CIC) during critical periods. This letter illustrates the impact on the amount of CIC of active customers' flexible demand realized by smart grid technologies. The focus of this letter is on residential electricity use. The study is applied to actual data from Kainuu, Finland  

    Performance evaluation of energy management system in smart home using wireless sensor network

    , Article 2012 2nd Iranian Conference on Smart Grids, ICSG 2012, 23 May 2012 through 24 May 2012 ; May , 2012 , Page(s): 1 - 8 ; 9781467313995 (ISBN) Maghsoodi, N. H ; Haghnegahdar, M ; Jahangir, A. H ; Sanaei, E ; Sharif University of Technology
    IEEE  2012
    Abstract
    In this paper we evaluate the performance of Energy Management and Building Automation Systems in smart environment using wireless sensor network. We describe some aspects of smart grid and then explain the related communication models of smart meters and building management or energy management systems in a smart home. We propose three models, then we compare these models and we select a model for our test bed. We implement the selected model in real environment using wireless sensor network. We analyse network delay to find out whether wireless sensor network is useful or not. With proposed model, we can save up to 57% in energy cost. Also, we develop In- home display to inform customers... 

    Applying reinforcement learning method to optimize an Energy Hub operation in the smart grid

    , Article IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2015, 18 February through 20 February 2015 ; 2015 ; 9781479917853 (ISBN) Rayati, M ; Sheikhi, A ; Ranjbar, A. M ; Sharif University of Technology
    Abstract
    New days, the concepts of 'Smart Grid' and 'Energy Hub' have been introduced to improve the operation of the energy systems. This paper introduces a new conception entitling Smart Energy Hub (S. E. Hub), as a multi-carrier energy system in a smart grid environment. To show the application of this novel idea, we present a residential S. E. Hub which employs Reinforcement Learning (RL) method for finding a near optimal solution. The simulation results show that by applying the S. E. Hub model and then using the proposed method for a residential customer, running cost is reduced substantially. While, comparing with the classical ones, the RL method does not require any data about the... 

    Improving direct load control implementation by an inititative load control method

    , Article EPDC 2013 - 18th Electric Power Distribution Network Conference ; 2013 ; ISBN: 9781480000000 Rastegar, M ; Fotuhi-Firuzabad, M ; Moeini-Aghtaie, M ; Sharif University of Technology
    Abstract
    Demand response (DR) as a state-of-the-art program is accommodated in the energy efficiency contexts of the smart grid. Lack of the customer knowledge about how to respond to the time-differentiated tariffs and offered controlling signals is the major obstacle in the way of broad DR implementing. As a solution, an optimization method, namely load control (LC), is proposed to automatically control the on/off status of the responsive appliances in a smart home. This paper focuses on the direct load control (DLC) program in the category of incentive-based DR programs. LC is extended to consider inconvenience cost of the DLC implementation for DLC program participants. Outputs of the extended LC... 

    Modeling Driving Behaviors Using Smartphone Sensors

    , M.Sc. Thesis Sharif University of Technology Azizzadeh Delshad, Amir Hossein (Author) ; Samimi, Amir (Supervisor)
    Abstract
    Monitoring driving behaviors of drivers, would avoid their dangerous behaviors and remarkably raise the safety. Nowadays real-time supervision is considered as one of the modern methods of controlling driving behaviors. Previously, due to expensive costs of required equipments and other restrictions, this kind of supervision hasn't been considered fairly. Nowadays increasing usage of smart phones, which contain multiple sensors, enables this type of supervision with lower costs. In the present study we would present some models, to assess the driving behavior via smart phone sensors such as accelerometer, gyroscope and rotation vector  

    Design and Implementation of Smart Thermosthat for Heating/Cooling Loads Consumption Management

    , M.Sc. Thesis Sharif University of Technology Taghipoor, Hamed (Author) ; Safdarian, Amir (Supervisor)
    Abstract
    Thesedays, the electric power industry faces not only increasing electrical demand, but also improving the performance of electrical energy systems. In order to provide these requirements, the concept of smart grid is presented by academic researchers and industry experts. In different parts of a smart grid, the application of various technologies for easy monitoring and control of the system improves its performance. On demand side, making smart is the equivalent of smart consumption management to reduce energy consumption or cost. Considering the high contribution of heating/cooling loads to the energy consumption basket, and the high flexibility of these loads due to thermal inertia, the... 

    Intrusion Detection System in Smart Grids

    , M.Sc. Thesis Sharif University of Technology Beigi, Hossein (Author) ; Amini, Morteza (Supervisor)
    Abstract
    Smart grids are the new generation of power grids that combine the power distribution grid with the communications network. The purpose of these networks is to create a secure, two-way infrastructure for the transmission of power and information. The complex structure of smart grids, along with the inherent vulnerabilities of physical systems, old devices and protocols on the network and the need for backward compatibility, have created serious cyber risks to critical assets and infrastructures. The difference between these types of networks and conventional computer networks has made the security mechanisms developed in conventional computer networks not very suitable for these types of... 

    Designing a Smart Micro-grid Connected to Solar PV System for the Energy Department of Sharif University and Developing a Web-based Software for Management

    , M.Sc. Thesis Sharif University of Technology Tayebirad, Rasoul (Author) ; Boroushaki, Mehrdad (Supervisor) ; Roshandel, Ramin (Supervisor)
    Abstract
    This project aims to design a smart microgrid connected to the utility grid in order to supply the demand of Energy Engineering Department at Sharif University of Technology. The electrical structure of this micro-grid is included utility grid, photovoltaic system with energy storage system and a consumer. Due to the energy storage system, an operation strategy is presented that is proportionate to the installed capacities in microgrid and based on a price basis that is determined by the micro-grid operator at the beginning of each day, in order to manage energy is provided. Micro-grid energy management is divided into two sections that the implementation of each part is depended to the... 

    Evaluation of intelligent distribution network response to plug-in hybrid electric vehicles

    , Article 2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013 ; June , 2013 ; 9781467356695 (ISBN) Sheikhi, A ; Maani, A ; Ranjbar, A. M ; Sharif University of Technology
    2013
    Abstract
    Plug-in Hybrid Electric Vehicles (PHEV) have the potential to limit emissions and reduce the cost of transportation. Although wide scale adoption of plug-in vehicles is still a few years away, politicians, electric utilities, and auto companies are eagerly awaiting the opportunities that may arise from reduction of emissions and gasoline and oil consumption, new services and increased revenues, and new markets that would create new jobs. For consumers, plug-in vehicles will significantly lower operational costs when compared with traditional gasoline cars. The savings are potentially high, in average, as electricity cost mile work out to about one forth of gasoline. But it is noticeable to... 

    Synthesis parameters effect on the final morphology of the layered double hydroxide (LDH)

    , Article Protection of Metals and Physical Chemistry of Surfaces ; Volume 53, Issue 3 , 2017 , Pages 460-465 ; 20702051 (ISSN) Imanieh, I ; Afshar, A ; Sharif University of Technology
    Maik Nauka Publishing / Springer SBM  2017
    Abstract
    Smart coatings which prevent corrosion by several mechanisms recently have been carefully planned. One of these mechanisms is the use of ion exchangers like LDH in the coating network. Since the morphology is the most important properties for the applications that the surface plays an important role, LDH morphology was evaluated in this study. For this purpose, the LDH contain a kind of green inhibitor was synthesized and after evaluating its performance it was examined morphologically by changing significant parameters like MII/MIII, pH, aging time and temperature. It is found that, high ratio of the MII/MIII cause thinner layer of LDH. The pH also has special effect on the surface...