Yazar "Asker, M. Emin" seçeneğine göre listele

Listeleniyor 1 - 4 / 4
  • [ X ]
    Öğe
    Chaotic Analysis of the Gloabal Solar Irradiance
    (Ieee, 2017) Ytlmaz, Musa; Gumus, Bilal; Kilic, Heybet; Asker, M. Emin
    The use of solar energy is increasing for power generation and other uses. In order to meet these demands and make better predictions, it is necessary to understand and explain the dynamics of the solar parameters. Nonlinear dynamics and associated tools can provide better results in the analysis. The meteorological events are based time series and has a dynamic chacteristic therefore this paper proposes a different approach to analysis of solar parameter that is called chaotic analysis of the solar parameters such as global solar irradiance(GSI) based on times series approach. The chaotic behavior of global solar irradiation and sunshine duration are tested by phase spaces and Lyapunov Exponents. It is crucial to measure and analysis with a high accuracy solar parameters to benefit maximally form a specific region solar energy potential. In the application, four solar irradiation sites are considered from different solar energy potential locations in Turkey, namely, at Diyarbakir, Gaziantep, Batman and Mardin cities.
  • Küçük Resim
    Öğe
    Enhancing power system reliability: Hydrogen fuel cell-integrated D-STATCOM for voltage sag mitigation
    (Elsevier Ltd, 2024) Kılıç, Heybet; Asker, M. Emin; Haydaroğlu, Cem
    The focus of this study is to investigate the critical matter of voltage sags in power systems, which have a substantial adverse effect on both the functionality of equipment and the quality of power. Central to this investigation is the integration of hydrogen fuel cells and a D-STATCOM system, which is suggested as a substitute approach for mitigating voltage fluctuations. The hydrogen fuel cell serves as the pivotal component, renowned for its ability to significantly improve power quality through the efficient mitigation of voltage sag concerns. The paper provides a comprehensive analysis of the contribution that hydrogen fuel cell integration with D-STATCOM makes to the reliability of power systems. A systematic methodology is employed, supported by simulations and modeling, to emphasize the critical significance of hydrogen fuel cells in surmounting obstacles related to voltage injection and enhancing power quality. By utilizing a Type-3 Fuzzy system, the research evaluates the dependability of the control system and proposed model. The effectiveness of this method, which is focused on hydrogen fuel cells, is verified by means of MATLAB simulations, which demonstrate its superior performance in comparison to conventional PI and ANFIS controllers. © 2024 Hydrogen Energy Publications LLC
  • [ X ]
    Öğe
    Modified Grey Wolf Optimization Algorithm for PV Fed Water Pumping System Driven by Switched Reluctance Motor under Partial Shading Condition
    (Ieee, 2022) Bellamkonda, Prgathi; Devi, Sanam; Ayaz, Fakir Nadir; Asker, M. Emin; Malla, Priyanka; Malla, Siva Ganesh; Malla, Jagan Mohana Rao
    Water Pumping Systems (WPSs) are playing a major role in society for fulfilling human's daily needs. Generally WPSs are consuming much power and burden on main electric grid. The best idea to decrease load on utility grid is to establish a standalone Photovoltaic (PV) fed WPS in both rural and urban areas. Usually WPSs are necessary for agriculture, drinking and industrial purposes. However, an electrical motor is required to drive the mechanical pump for adding the underground water to the utility point. Among many motors, switched reluctance motor (SRM) is attracting many scholars to use in WPS due to many advantageous. To obtain maximum torque which is required to lift the water from high depth from ground an 8/6 pole SRM is considered in this paper. However, using batteries in WPS will lead system more expensive as well as required frequent maintenance including replacements due to less life span of batteries as compared with PV modules. Hence, PV powered SRM driven battery less WPS is implemented with sliding mode controller (SMC) based speed sensorless direct torque controller (DTC) in this paper. Moreover, Modified Grey Wolf Optimization (MGWO) algorithm is integrated with Perturbed and Observed (P&O) algorithm to harvest maximum energy from PV modules during normal as well as partial shading conditions. Hybrid MGWO-P&O mechanism is integrated with converter controller to avoid an extra DC to DC device for using maximum power point tracker of PV modules. Extensive results by using MATLAB/Simulink platform are examined in this article under many situations to validate the proposed method.
  • [ X ]
    Öğe
    Stability Analysis of Islanded Microgrid with EVs
    (Ieee, 2018) Kilic, Heybet; Khaki, Behnam; Gumus, Bilal; Yilmaz, Musa; Asker, M. Emin
    Renewable energy resources (RESs) and electric vehicles (EVs) have emerged as powerful concepts which can replace the conventional energy and transportation systems with more flexibility and efficiency. Due to low inertia of microgrid and intermittent nature of RESs, the rapid increase in the penetration level of RESs and EVs in smart grids may lead to frequency stability issue. However, EVs, as the mobile energy storage system, can contribute to the improvement of the frequency fluctuation and stability. This paper proposes a method to control the EVs integrated in an islanded microgrid so that they participate in load frequency control (LFC). On the contrary to the approaches proposed in the literature, the proposed control method enables the investigation of time delay effect on LFC and considers the communication latency on the LFC stability. The delay-dependent stability criterion of the proposed method is derived based on Lyapunov theory in the form of linear matrix inequality (LMI). The LMI is solved to find the parameters impacting the maximum allowable delay (MAD) and to obtain the MAD by which the stability of the LFC system is guaranteed. The effectiveness of the proposed method is validated through numerical simulation of a case study.