Yazar "Erdinc, Fatma Gulsen" seçeneğine göre listele

Listeleniyor 1 - 4 / 4
  • Küçük Resim
    Öğe
    Comfort violation minimization oriented energy management strategy for a renewable-assisted stand-alone multi-energy electric vehicle service station
    (Elsevier, 2023) Erdinc, Fatma Gulsen
    In this study, a comfort violation minimization oriented energy management strategy is proposed for a standalone electric vehicle (EV) service station serving multiple EV types in a multi-energy manner. The main purpose of this strategy is to minimize the discomfort of EV owners due to insufficient energy supply while considering the fairness among users and optimizing the utilization of renewable energy sources. The criteria for selecting this strategy include: (1) mitigating customer dissatisfaction arising from inadequate energy supply, (2) ensuring fairness in energy distribution among different EV types, and (3) maximizing the use of renewable power sources, such as photovoltaic (PV) units. The developed mixed-integer linear programming (MILP) model comprises a PV unit as the main power source, with an energy storage system (ESS) and an electrolyzersupported main hydrogen storage unit fulfilling the energy and hydrogen demands of battery electric vehicles (BEVs) and fuel cell electric vehicles (FCEVs), respectively. A comfort violation fairness constraint is also introduced to guarantee a fair service for all EV owners, thereby enhancing the social acceptability of the provided EV service. Simulation results, obtained under various case studies considering component size changes and comfort fairness constraint relaxation, demonstrate the importance of striking a balance between investing in larger components and allowing for a certain level of customer dissatisfaction. The analysis revealed that relaxation of the fairness constraint led to a reduction in overall comfort violation by up to 15 % for both BEVs and FCEVs combined; however, this relaxation resulted in significant differences in comfort violation among different EV owner types, with variations ranging from a minimum of 0 % to a maximum of >90 %. These findings emphasize the significance of considering fairness in energy distribution to prevent potential dissatisfaction among end users. Future studies will explore the development of a grid-connected system and compare the stand-alone structure in a techno-economic context, considering the possible impact of different EV types on grid operation during normal and resiliency-oriented conditions.
  • Küçük Resim
    Öğe
    Development of an Energy Management System for Minimizing Hydrogen Consumption in Fuel Cell and Ultracapacitor Hybrid Electric Garbage Trucks and Analysis of the Sizing Impact
    (IEEE, 2023) Erdinc, Fatma Gulsen
    The utilization of alternative energy sources in service vehicles, particularly in personal passenger cars, has been gaining prevalence in recent times. In this context, electric garbage trucks are becoming increasingly popular as an environmentally friendly alternative to traditional trucks. In this study, an optimization-based energy management system focused on minimizing hydrogen consumption is proposed for a fuel cell and ultracapacitor hybrid electric garbage truck. The specified energy management system takes into account the ramping rate constraints for the healthy operation of the fuel cell while ensuring that each source's natural structure is appropriately utilized for load sharing. Furthermore, the impact of fuel cell and ultracapacitor sizing on the energy management system's decisions is examined through various case analyses, and the effects of such sizing on hydrogen consumption and regenerative braking energy recovery are elucidated.
  • Küçük Resim
    Öğe
    Rolling horizon optimization based real-time energy management of a residential neighborhood considering PV and ESS usage fairness
    (Elsevier Sci Ltd, 2023) Erdinc, Fatma Gulsen
    The incorporation of decentralized energy solutions, including solar photovoltaic (PV) installations and energy storage systems (ESSs), into residential communities has received substantial interest in recent times. This is driven by the objective of enhancing the self-reliance of residential zones while decreasing their reliance on centralized power grids. Effective management of these systems can yield advantages such as load equalization, cost reduction, and diminished emissions. The process of optimizing energy management in residential com-munities entails addressing multiple factors, including uncertainty, equity, and efficiency.This study introduces an innovative methodology for real-time energy management in a residential commu-nity, taking into account both the equitable utilization of solar PV and ESS and the minimization of costs. The suggested technique employs rolling horizon optimization and mixed-integer linear programming (MILP) to tackle uncertainties in PV production and guarantee a fair allocation of shared resources. The outcomes of this novel approach showcase its capability to sustain cost-effectiveness while fostering equitable energy consumption.
  • Küçük Resim
    Öğe
    Uncertainty Dealing Energy Management of a PV and Battery Supplied Grid Connected Charging Service Station for a Fleet of Mobile Charging Oriented EVs
    (IEEE, 2023) Erdinc, Fatma Gulsen
    The growing importance of mobile charging electric vehicles (MCEVs) highlights the need for effective energy management strategies and infrastructure to support their deployment. Efficiently designed depots, equipped with various energy resources, play a crucial role in meeting the energy demands of these vehicles. This paper presents a comprehensive energy management strategy for depots designed to supply the energy requirements of a MCEV fleet. The proposed methodology accounts for multiple energy resources, including photovoltaic (PV) panels, diesel generators, battery-based energy storage systems (ESSs), and bi-directional power flow with the upstream grid. Additionally, it addresses uncertainties in PV production through a rolling horizon approach within the mixed-integer linear programming (MILP) framework of the optimization problem. The main contributions of this study include the development of a comprehensive energy management strategy for MCEV fleet depots, the introduction of a multiple objectives-based optimization framework, and the demonstration of the effectiveness of the proposed methodology in various case studies.