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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 ; 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... 

    A user-centric demand response framework for residential heating, ventilation, and air-conditioning load management

    , Article Electric Power Components and Systems ; Volume 44, Issue 1 , 2016 , Pages 99-109 ; 15325008 (ISSN) Ali, M ; Jokisalo, J ; Siren, K ; Safdarian, A ; Lehtonen, M ; Sharif University of Technology
    Taylor and Francis Inc  2016
    Abstract
    The domestic heating, ventilation, and air-conditioning load promises a good prospect for electrical aggregators to consider it for demand response. This article presents a user-centric demand response control for scheduling the electric space heating load under a price and load uncertainty environment. The objective of the framework is to minimize a weighted sum of the expected payment, loss of comfort, and financial risk of a customer while strictly considering the end-user preferences. The household thermal behavior is modeled via an accurate two-capacity building model. The price and load uncertainty is modeled using a scenario-based stochastic programming approach. The proposed decision... 

    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... 

    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... 

    Coordinated management of residential loads in large-scale systems

    , Article Studies in Systems, Decision and Control ; Volume 145 , 2018 , Pages 151-171 ; 21984182 (ISSN) Safdarian, A ; Sharif University of Technology
    Springer International Publishing  2018
    Abstract
    Recent developments in communication systems and protocols led to the greater attention of energy industry to future smart grids. As one of the key aspects of smart grids, demand response is a promising tool for increasing the capabilities, efficiency, and reliability of power systems. Demand response programs focus on the flexibility potentials in demand, instead of paying full attention to the efficiency of energy system infrastructures. So far, several utilities around the world have planned to realize potential benefits of flexible demand of their consumers. However, participation in most of the programs is dominated by large industrial consumers. This focus on large consumers is mostly... 

    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... 

    Optimal design of renewable integrated heat and electricity supply systems with genetic algorithm: household application in Iran

    , Article International Journal of Environmental Science and Technology ; Volume 17, Issue 4 , 2020 , Pages 2185-2196 Rezaei Mirghaed, M ; Saboohi, Y ; Sharif University of Technology
    Springer  2020
    Abstract
    The objective of the present study is the development of an optimization model for identifying the best configuration of renewable-based integrated energy systems. The system includes a combination of renewable energy systems such as wind, solar, hydropower and hydrogen production, storage facilities and conventional fossil-fuel generators. The developed tool consists of various modules where water heating assumes the utilization of waste energy as an option. Furthermore, the application, which is demonstrated for a case study in Tehran, has been considered. The power exchange with the distribution network and injection of hydrogen produced from excess renewable sources into gas network are... 

    Grid modernization for enhancing the resilience, reliability, economics, sustainability, and security of electricity grid in an uncertain environment

    , Article Scientia Iranica ; Volume 23, Issue 6 , 2016 , Pages 2862-2873 ; 10263098 (ISSN) Shahidehpour, M ; Fotuhi Friuzabad, M ; Sharif University of Technology
    Sharif University of Technology  2016
    Abstract
    This paper reviews the merits of modernizing the power grid and discusses the way electric utilities in various countries are directing their practices toward offering enhanced sustainability, reliability, resilience, security, and economics to their respective consumers. The modernization of the electricity grid, which has evolved as the brainchild of electricity restructuring, has been made all the more urgent by the virtually pervasive dependence of modern lives on a reliable, clean, and secure supply of affordable electricity. The electric utility industry restructuring, which has staged many institutional, regulatory, and business models, has enabled the modern electricity grid to take... 

    Probabilistic optimization of networked multi-carrier microgrids to enhance resilience leveraging demand response programs

    , Article Sustainability (Switzerland) ; Volume 13, Issue 11 , 2021 ; 20711050 (ISSN) Azimian, M ; Amir, V ; Habibifar, R ; Golmohamadi, H ; Sharif University of Technology
    MDPI AG  2021
    Abstract
    Microgrids have emerged as a practical solution to improve the power system resilience against unpredicted failures and power outages. Microgrids offer substantial benefits for customers through the local supply of domestic demands as well as reducing curtailment during possible disruptions. Furthermore, the interdependency of natural gas and power networks is a key factor in energy systems’ resilience during critical hours. This paper suggests a probabilistic optimization of networked multi-carrier microgrids (NMCMG), addressing the uncertainties associated with thermal and electrical demands, renewable power generation, and the electricity market. The approach aims to minimize the NMCMG... 

    Optimal energy management system of IoT-Enabled large building considering electric vehicle scheduling, distributed resources, and demand response schemes

    , Article Sensors ; Volume 22, Issue 19 , 2022 ; 14248220 (ISSN) Fei, L ; Shahzad, M ; Abbas, F ; Muqeet, H. A ; Hussain, M. M ; Bin, L ; Sharif University of Technology
    MDPI  2022
    Abstract
    In the energy system, various sources are used to fulfill the energy demand of large buildings. The energy management of large-scale buildings is very important. The proposed system comprises solar PVs, energy storage systems, and electric vehicles. Demand response (DR) schemes are considered in various studies, but the analysis of the impact of dynamic DR on operational cost has been ignored. So, in this paper, renewable energy resources and storages are integrated considering the demand response strategies such as real-time pricing (RTP), critical peak pricing (CPP), and time of use (ToU). The proposed system is mapped in a linear model and simulated in MATLAB using linear programming... 

    Scheduling and sizing of campus microgrid considering demand response and economic analysis

    , Article Sensors ; Volume 22, Issue 16 , 2022 ; 14248220 (ISSN) Bin, L ; Shahzad, M ; Javed, H ; Muqeet, H. A ; Akhter, M. N ; Liaqat, R ; Hussain, M. M ; Sharif University of Technology
    MDPI  2022
    Abstract
    Current energy systems face multiple problems related to inflation in energy prices, reduction of fossil fuels, and greenhouse gas emissions which are disturbing the comfort zone of energy consumers and the affordability of power for large commercial customers. These kinds of problems can be alleviated with the help of optimal planning of demand response policies and with distributed generators in the distribution system. The objective of this article is to give a strategic proposition of an energy management system for a campus microgrid (µG) to minimize the operating costs and to increase the self-consuming energy of the green distributed generators (DGs). To this end, a real-time based... 

    Sustainable solutions for advanced energy management system of campus microgrids: model opportunities and future challenges

    , Article Sensors ; Volume 22, Issue 6 , 2022 ; 14248220 (ISSN) Muqeet, H. A ; Javed, H ; Akhter, M. N ; Shahzad, M ; Munir, H. M ; Nadeem, M. U ; Bukhari, S. S. H ; Huba, M ; Sharif University of Technology
    MDPI  2022
    Abstract
    Distributed generation connected with AC, DC, or hybrid loads and energy storage systems is known as a microgrid. Campus microgrids are an important load type. A university campus microgrids, usually, contains distributed generation resources, energy storage, and electric vehicles. The main aim of the microgrid is to provide sustainable, economical energy, and a reliable system. The advanced energy management system (AEMS) provides a smooth energy flow to the microgrid. Over the last few years, many studies were carried out to review various aspects such as energy sustainability, demand response strategies, control systems, energy management systems with different types of optimization... 

    Optimum generation dispatching of distributed resources in smart grids

    , Article International Transactions on Electrical Energy Systems ; Volume 25, Issue 7 , 2015 , Pages 1297-1318 ; 20507038 (ISSN) Ansarian, M ; Sadeghzadeh, S. M ; Fotuhi Firuzabad, M ; Sharif University of Technology
    John Wiley and Sons Ltd  2015
    Abstract
    Summary Increasing interest in smart grids exhibits its potential benefits for providing reliable, secure, efficient, environmental friendly and sustainable electricity from renewable energy resources. Here, reliability models of four types of renewable and hybrid distributed generation were developed. A fuzzy multi-objective function was suggested for simultaneous optimization of reliability, electricity generation cost, grid loss and voltage profile. This not only considers uncertainty of renewable energy resources but also provides smart generation dispatching. An efficient reliability index consisting of energy and interruption frequency terms was also defined. A novel hybrid heuristic... 

    PUF-based solutions for secure communications in advanced metering infrastructure (AMI)

    , Article International Journal of Communication Systems ; Volume 30, Issue 9 , 2017 ; 10745351 (ISSN) Delavar, M ; Mirzakuchaki, S ; Ameri, M. H ; Mohajeri, J ; Sharif University of Technology
    John Wiley and Sons Ltd  2017
    Abstract
    Advanced metering infrastructure (AMI) provides 2-way communications between the utility and the smart meters. Developing authenticated key exchange (AKE) and broadcast authentication (BA) protocols is essential to provide secure communications in AMI. The security of all existing cryptographic protocols is based on the assumption that secret information is stored in the nonvolatile memories. In the AMI, the attackers can obtain some or all of the stored secret information from memories by a great variety of inexpensive and fast side-channel attacks. Thus, all existing AKE and BA protocols are no longer secure. In this paper, we investigate how to develop secure AKE and BA protocols in the... 

    Provably secure and efficient PUF-based broadcast authentication schemes for smart grid applications

    , Article International Journal of Communication Systems ; Volume 32, Issue 8 , 2019 ; 10745351 (ISSN) Ameri, M. H ; Delavar, M ; Mohajeri, J ; Sharif University of Technology
    John Wiley and Sons Ltd  2019
    Abstract
    Many smart grid applications need broadcast communications. Because of the critical role of the broadcasted messages in these applications, their authentication is very important to prevent message forgery attacks. Smart grid consists of plenty of low-resource devices such as smart meters or phasor measurement units (PMUs) that are located in physically unprotected environments. Therefore, the storage and computational constraints of these devices as well as their security against physical attacks must be considered in designing broadcast authentication schemes. In this paper, we consider two communication models based on the resources of the broadcasters and receivers and propose a physical... 

    Flexibility provision of residential energy hubs with demand response applications

    , Article IET Generation, Transmission and Distribution ; Volume 16, Issue 8 , 2022 , Pages 1668-1679 ; 17518687 (ISSN) Ostovar, S ; Moeini Aghtaie, M ; Hadi, M. B ; Sharif University of Technology
    John Wiley and Sons Inc  2022
    Abstract
    Smart grids help local distribution companies (LDCs) facilitate the communication between grid operators and residential prosumers. While the prosumers are striving to optimize their daily load profile by home energy management systems (HEMSs) deployment, the LDCs attempt to enhance the operation of the grid in an efficient way and decrease network losses. This paper attempts to develop a new bi-level probabilistic optimization framework wherein an HEMS optimizes its respective daily load profile, and determines its flexibility provision, which is communicated to an LDC. In the proposed framework, a decentralized approach is used to achieve the flexibility product, which is the modulation of... 

    Integration of wind turbines in distribution systems and development of an adaptive overcurrent relay coordination scheme with considerations for wind speed forecast uncertainty

    , Article IET Renewable Power Generation ; Volume 14, Issue 15 , 2020 , Pages 2983-2992 Dindar, A ; Mohammadi Ardehali, M ; Vakilian, M ; Sharif University of Technology
    Institution of Engineering and Technology  2020
    Abstract
    The integration of renewable energy (RE)-based distributed generation (DG) with electric power distribution systems (DSs) in association with smart grid technology has numerous benefits, however, due to their intermittent nature, the utilisation of RE-based DG may pose threats to the proper operation of conventional overcurrent (OC) protection schemes. The resulting threats, malfunctions, and non-selective actions could occur by relays within the DS, and the development of efficient protection schemes is necessary. The objective of this study is to propose and simulate an adaptive OC protection scheme in DSs in the presence of doubly-fed induction generator (DFIG) wind turbines based on wind... 

    Smart meters big data: Game theoretic model for fair data sharing in deregulated smart grids

    , Article IEEE Access ; Volume 3 , December , 2015 , Pages 2743-2754 ; 21693536 (ISSN) Yassine, A ; Nazari Shirehjini, A. A ; Shirmohammadi, S ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2015
    Abstract
    Aggregating fine-granular data measurements from smart meters presents an opportunity for utility companies to learn about consumers' power consumption patterns. Several research studies have shown that power consumption patterns can reveal a range of information about consumers, such as how many people are in the home, the types of appliances they use, their eating and sleeping routines, and even the TV programs they watch. As we move toward liberalized energy markets, many different parties are interested in gaining access to such data, which has enormous economical, societal, and environmental benefits. However, the main concern is that many such beneficial uses of smart meter big data... 

    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... 

    Optimal electricity procurement in smart grids with autonomous distributed energy resources

    , Article IEEE Transactions on Smart Grid ; Volume 6, Issue 6 , April , 2015 , Pages 2975-2984 ; 19493053 (ISSN) Safdarian, A ; Fotuhi Firuzabad, M ; Lehtonen, M ; Aminifar, F ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2015
    Abstract
    Proliferation of private distributed energy resources (DERs) necessitates devising effective energy management frameworks. This paper aims at establishing a decentralized model for the optimal dispatch of DERs in smart grids. The objective function is to minimize expected procurement cost of demand while profit of private DER owners is not sacrificed. Unit management modules (UMMs) embedded in private DERs and a central agent are autonomous agents of the model. The approach is iterative. In each iteration, the central agent announces to UMMs its procurement strategy, which contains purchased powers and their prices. Then, UMMs optimize and send back their output power and selling price...