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    Increased utilization of wind generation by coordinating the demand response and real-time thermal rating

    , Article IEEE Transactions on Power Systems ; Volume 31, Issue 5 , 2016 , Pages 3737-3746 ; 08858950 (ISSN) Ali, M. T ; Zenebe Degefa, M ; Humayun, M ; Safdarian, A ; Lehtonen, M ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2016
    Abstract
    Demand response (DR) will play an essential role in smart grids by contributing to the operational flexibility requirement arising from the increased penetration of intermittent renewable generation. However, DR activation could be hampered in the absence of intelligent network management. Real-time thermal rating (RTTR) functions as a smart network management tool for unlocking the network capacities by allowing the network to safely operate during overload states. This paper offers an optimal residential DR approach integrated with RTTR to balance the hourly wind power production. The proposed framework is modeled from the perspective of an electrical aggregator that manages the population... 

    Predictive utilization of energy storage for wind power fluctuation mitigation

    , Article 26th Iranian Conference on Electrical Engineering, ICEE 2018, 8 May 2018 through 10 May 2018 ; 2018 , Pages 1332-1336 ; 9781538649169 (ISBN) Kazari, H ; Oraee, H ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2018
    Abstract
    Deployment of battery energy storage system (BESS) is a viable option to alleviate the inherent power fluctuation of wind farms. In this paper, a novel model predictive control (MPC) scheme is presented in order to control the BESS dispatch in an integrated wind farm. The constraints of BESS are formulated and are taken into account in optimization problem. The predictive control is based on receding horizon which shows robustness and improved performance compared to the conventional BESS control strategies. The objective function is defined in order to minimize the deviation of wind power production relative to the scheduled production. The results showed the effectiveness of the proposed... 

    A game theory approach for maximum utilization of wind power by DR in residential consumers

    , Article 10th IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2020, 26 October 2020 through 28 October 2020 ; Volume 2020-October , 2020 , Pages 111-115 Tavakkoli, M ; Fattaheian Dehkordi, S ; Pourakbari Kasmaei, M ; Liski, M ; Lehtonen, M ; IEEE Power and Energy Society ; Sharif University of Technology
    IEEE Computer Society  2020
    Abstract
    This paper proposes an indirect load control demand response (DR) strategy for residential houses. A Stackelberg game theory is applied to account for the interaction between the aggregator in one side and the consumers on the other side. The aggregator, which owns a wind power plant, strives to maximize wind power utilization by consumers. Therefore, it motivates the consumers to adjust their load demand according to the forecasted wind power production by offering a bonus to them. On the other hand, consumers attempt to achieve the highest amount of reward by changing their load profile. It is assumed that each consumer has a critical load of which they have no control, and also a flexible...