Yazar "Mohammadi-ivatloo, Behnam" seçeneğine göre listele

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    A comprehensive review on electric vehicles smart charging: Solutions, strategies, technologies, and challenges
    (Elsevier, 2022) Sadeghian, Omid; Oshnoei, Arman; Mohammadi-ivatloo, Behnam; Vahidinasab, Vahid; Anvari-Moghaddam, Amjad
    The role of electric vehicles (EVs) in energy systems will be crucial over the upcoming years due to their environmental-friendly nature and ability to mitigate/absorb excess power from renewable energy sources. Currently, a significant focus is given to EV smart charging (EVSC) solutions by researchers and industries around the globe to suitably meet the EVs' charging demand while overcoming their negative impacts on the power grid. Therefore, effective EVSC strategies and technologies are required to address such challenges. This review paper outlines the benefits and challenges of the EVSC procedure from different points of view. The role of EV aggregator in EVSC, charging methods and objectives, and required infrastructure for implementing EVSC are discussed. The study also deals with ancillary services provided by EVSC and EVs' load forecasting approaches. Moreover, the EVSC integrated energy systems, including homes, buildings, integrated energy systems, etc., are reviewed, followed by the smart green charging solutions to enhance the environmental benefit of EVs. The literature review shows the efficiency of EVSC in reducing charging costs by 30 %, grid operational costs by 10 %, and renewable curtailment by 40 %. The study gives key findings and recommendations which can be helpful for researchers and policymakers.
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    A comprehensive review on optimization challenges of smart energy hubs under uncertainty factors
    (Elsevier Ltd, 2022) Lasemi, Mohammad Ali; Arabkoohsar, Ahmad; Hajizadeh, Amin; Mohammadi-ivatloo, Behnam
    With economic development in the world and growing energy demand, the concept of sustainable energy has received more attention from energy planners in different energy sectors. To achieve sustainable energy development (SED), appropriate utilization of all types of sustainable energy resources is vital. One further requirement for this is the integration of various energy systems in the framework of a multi-energy system where all energy system elements have the possibility of synergy with others for minimizing losses and maximizing the utilization of any availabilities. Further requirements for such a highly yet wisely integrated energy system (IES) have recently been specified in the context of smart energy systems (SESs). Smart energy hub (SEH) is introduced as a novel concept that provides a distinguished framework to model SESs. The main challenge for the modeling of SEH is finding the optimal design/sizing and operation strategy of the system components based on the uncertainty of renewable sources, demands, energy market spot prices, etc. Uncertainty modeling assists in reaching a realistic optimal approach in the decision-making process and thus is a promising line of future research in the modeling of SEH. The main aim of this work is to classify and evaluate the existing methods to employ uncertainty in the design, operation, and planning of SEH to reach a better understanding of future challenges in this way.