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    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... 

    A Scalable architecture for monitoring IOT devices using ethereum and fog computing

    , Article 4th International Conference on Smart Cities, Internet of Things and Applications, SCIoT 2020, 16 September 2020 through 17 September 2020 ; 2020 , Pages 66-76 Tahmasebi, S ; Habibi, J ; Shamsaie, A ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2020
    Abstract
    With recent considerable developments in the Internet of Things (IoT), billions of resource-constrained devices are interconnected through the Internet. Monitoring this huge number of IoT devices which are heterogeneous in terms of underlying communication protocols and data format is challenging. The majority of existing IoT device monitoring solutions heavily rely on centralized architectures. Since using centralized architectures comes at the expense of trusting an authority, it has several inherent drawbacks, including vulnerability to security attacks, lack of data privacy, and unauthorized data manipulation. Hence, a new decentralized approach is crucial to remedy these drawbacks. One... 

    Cooperative security administration in multi-security-domain environments using a variant of deontic logic

    , Article Scientia Iranica ; Volume 19, Issue 3 , June , 2012 , Pages 635-653 ; 10263098 (ISSN) Amini, M ; Jalili, R ; Ehsan, M. A ; Faghih, F ; Sharif University of Technology
    2012
    Abstract
    The decentralized approach to security administration in new computing environments (e.g., pervasive computing and mobile environments) is based on apportioning the environment into multiple security domains. The security policies of each security domain are specified by an authority and enforced by a security agent. The requirements of cooperative administration in such Multi-Security-Domain (MSD) environments, for shared or subdomains, induced us to propose an MSD cooperation framework within a logical security policy language (called MASL) in this paper. MASL is a variation of deontic logic that enables multiple authorities to specify their domain policies, including obligations and... 

    Optimal residential load management in smart grids: A decentralized framework

    , Article IEEE Transactions on Smart Grid ; Volume 7, Issue 4 , 2016 , Pages 1836-1845 ; 19493053 (ISSN) Safdarian, A ; Fotuhi Firuzabad, M ; Lehtonen, M ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc 
    Abstract
    Severe peak rebounds are likely in absence of a system-wide coordination among customers participating in demand response programs. This paper aims to establish a decentralized system-wide framework to coordinate demand response of residential customers in a smart grid. The objective of the framework is to modify system load profile provided that customers' payments are minimized, and their comfort and privacy are preserved. Home load management (HLM) modules, embedded in customers' smart meters are autonomous agents of the framework. The energy service provider iteratively exchanges load information with HLM modules in the hope of achieving his desired load profile. In each iteration, the...