Yazar "Andic, Cenk" seçeneğine göre listele

Listeleniyor 1 - 5 / 5
  • Küçük Resim Yok
    Öğe
    Effects of Wind Turbine Height Variation on Hybrid Power System Feasibility
    (Institute of Electrical and Electronics Engineers Inc., 2024) Öztürk, Zafer; Terkes, Musa; Andic, Cenk; Öztürk, Ali; Türkay, Belgin Emre
    In carbon neutrality plans, hybrid power systems (HPS) are critical to the growing popularity of prosumers. For regions with higher wind potential, a sensitive study of wind energy in optimization frameworks with different objective functions will enhance competition against the dominant solar market. In this study, HPSs located at various case areas with higher wind potential are optimally sized for community electricity consumption and minimum cost objectives. The feasibility results of the optimum sizes are evaluated for the effects of increasing wind turbine (WT) hub heights considering flexible and constrained electricity sales. The results show that higher WT heights in Gemlik and -anakkale will optimize performance. It has also been proven that higher WT heights will increase carbon emissions up to 930.1 tons/yr, while restricting electricity sales by 40% will increase the excess electricity by up to 21.4% and reduce the renewable fraction by up to 7.5%. © 2025 Elsevier B.V., All rights reserved.
  • Küçük Resim Yok
    Öğe
    A novel honey badger algorithm based load frequency controller design of a two-area system with renewable energy sources
    (Elsevier, 2023) Ozumcan, Sercan; Ozturk, Ali; Varan, Metin; Andic, Cenk
    When it comes to the process of ensuring the stability, quality, and reliability of a power system, one of the most crucial components is known as the load frequency controller (LFC). It does this by ensuring that there is a balance between the amount of power that is produced and the amount that is consumed. This paper proposes a novel evolutionary approach, referred to as the Honey Badger Algorithm (HBA), PI/PID controllers should be configured in the best possible way in order to address the LFC problem in the electrical power system. The research takes into account a power system that is integrated between two areas and uses renewable energy sources, such as a wind system and a solar system. The utilization of renewable energy sources has the potential to yield favorable outcomes in frequency control through the provision of prompt and adaptable responses to fluctuations in system frequency, helping to maintain grid stability. The proposed HBA method is utilized to refine the controller parameter values, using a fitness function anchored on the integral of absolute error (IAE) and the integral time multiplied by absolute error (ITAE). The performance of the proposed HBA-based controller has evaluated under 5% step load perturbation (SLP) in area-1. The HBA-based controllers demonstrate greater performance in terms of settling time, overshoot, and fitness value when compared to other well-known optimization algorithms such as Particle Swarm Optimization (PSO), Whale Optimization Algorithm (WOA), and Grey Wolf Optimization (GWO). According to the obtained results, the IAE-based PID controller has the best performance. The HBA-based PID controller is evaluated according to the following performance criteria; the objective function value is 0.4201, the settling time values and overshoot values for the area-1, area-2 and tieline are 15.6, 33.7 and 27.9 s and -6.6, -0.7 and -0.0071 Hz, respectively. According to the findings, the HBA is both a dependable and effective tool for finding solutions to LFC research problems in multi-source power systems.
  • Küçük Resim Yok
    Öğe
    A Novel Puma Optimizer Based TID Controller for Load Frequency Control
    (Institute of Electrical and Electronics Engineers Inc., 2024) Andic, Cenk; Öztürk, Ali; Aydin, Esra; Türkay, Belgin Emre
    This paper presents the Puma Optimizer (PO) algorithm, a novel approach to the load frequency control problem. The proposed PO algorithm optimizes the gain parameters of the tilt-integral-derivative (TID) controller used for load frequency control in a two-area interconnected power system with a PV system. In this study, the proposed PO algorithm for optimizing the TID controller was compared with ImRSA, RSA, MGWO-CS and PDO algorithms, which were previously published in the literature. In the optimization of the TID controller’s gain parameters based on the ITAE metric, the proposed PO algorithm achieved the best performance with a value of 0.7441, followed by ImRSA with 0.8239, RSA with 0.9251, MGWO-CS with 0.9203 and PDO with 0.8108. The performance of the optimized TID controller was evaluated based on the system’s frequency response to a 0.1 p.u load disturbance in both areas. According to the simulation results obtained, it was observed that the proposed PO algorithm provided the fastest settling time and the minimum overshoot and undershoot values in the frequency response of the system in both areas and the tie-line against load changes. © 2025 Elsevier B.V., All rights reserved.
  • Küçük Resim Yok
    Öğe
    Quantum Genetic Algorithm for Dynamic Economic Dispatch of Active Distribution Network with Microgrid Including Renewable Energy Source
    (Institute of Electrical and Electronics Engineers Inc., 2024) Andic, Cenk; Öztürk, Ali; Türkay, Belgin Emre
    This paper presents a Quantum Genetic Algorithm (QGA) for the Dynamic Economic Dispatch (DED) of Active Distribution Networks (ADNs) with a Microgrid (MG) including renewable energy source. The economic dispatch problem aims to minimize the operating cost of the power system while meeting the load demand and satisfying operational constraints. The integration of renewable energy sources, such as wind and solar, into the power system presents new challenges due to their intermittent and uncertain nature. The proposed QGA-based DED approach considers the uncertainties of renewable energy source and enables the effective optimization of the system operation. The QGA combines the advantages of both quantum computing and genetic algorithm to provide a more efficient and effective solution. Therefore, quantum-bits (qubits) offer a much wider computational capability than the classical bits used in traditional genetic algorithms. The proposed approach is tested on the IEEE 37 bus system with two photovoltaic systems, and the results demonstrate its superior performance compared to other well-known methods which are Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) algorithm. The proposed QGA provides an effective solution for the DED problem in ADNs with MGs and renewable energy sources, which can contribute to the development of sustainable and efficient power systems. © 2024 Elsevier B.V., All rights reserved.
  • Küçük Resim Yok
    Öğe
    A robust crow search algorithm based power system state estimation
    (Elsevier, 2023) Andic, Cenk; Ozturk, Ali; Turkay, Belgin
    The State Estimation (SE) computational procedure plays a crucial role in modern electric power system security control by monitoring and analyzing operational conditions and predicting any emergency. In order to estimate state variables, Power System State Estimation (PSSE) takes into account the magnitudes and phases of voltage on each bus. To address the state estimation challenges in power systems, in this paper, we propose a novel application of the Crow Search Algorithm (CSA) specifically tailored for the state estimation problem. We have assessed the introduced algorithm using the frameworks of both the IEEE 14-bus and IEEE 30-bus test systems. The first formulation is the Weighted Least Square (WLS) method, and the second is the Weighted Least Absolute Value (WLAV) method, both of which are objective function formulations. By comparing the results, it is clear that CSA-based SE is superior to the other metaheuristic algorithms considered, namely Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Artificial Bee Swarm Optimization (ABSO). As a point of comparison, we use the Newton-Raphson method for calculating load flow. It has been shown that the proposed CSA-based SE technique has better accuracy than the other two algorithms in all different test systems. With this study, the power system is operated more accurately and reliably by the operators operating the system. (c) 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). Peer-review under responsibility of the scientific committee of the 2022 7th International Conference on Renewable Energy and Conservation, ICREC, 2022.