Browsing by Author "Ates Y."

Now showing 1 - 5 of 5
  • No Thumbnail Available
    Item
    Pilot Scheme Conceptual Analysis of Rooftop East–West-Oriented Solar Energy System with Optimizer
    (MDPI, 2023) Alkan S.; Ates Y.
    In recent years, photovoltaic energy has become a popular alternative to traditional fossil fuels due to its renewable and sustainable nature, and the incentives provided by countries to encourage research and development in this field have accelerated the implementation of photovoltaic roofs. One important factor in maximizing the efficiency of solar panels is their orientation to harness maximum irradiation with minimum roof area. In this article, an optimizer-supported east–west-oriented solar power plant installation is experimentally presented to utilize more solar energy with less area compared to wide-area south orientation. Furthermore, an analysis of different angle placements is simulated by PVSOL and PVGIS to test the robustness of the presented approach, and the pros/cons of the features of the east–west and south orientation are discussed comparatively. The obtained results are promising for the ideal placement of solar systems along with the use of optimizers to further enhance their performance, and for the minimization of the economic return of such an investment. © 2023 by the authors.
  • No Thumbnail Available
    Item
    Load Forecasting Based on Genetic Algorithm–Artificial Neural Network-Adaptive Neuro-Fuzzy Inference Systems: A Case Study in Iraq
    (MDPI, 2023) AL-Qaysi A.M.M.; Bozkurt A.; Ates Y.
    This study focuses on the important issue of predicting electricity load for efficient energy management. To achieve this goal, different statistical methods were compared, and results over time were analyzed using various ratios and layers for training and testing. This study uses an artificial neural network (ANN) model with advanced prediction techniques such as genetic algorithms (GA) and adaptive neuro-fuzzy inference systems (ANFIS). This article stands out with a comprehensive compilation of many features and methodologies previously presented in other studies. This study uses a long-term pattern in the prediction process and achieves the lowest relative error values by using hourly divided annual data for testing and training. Data samples were applied to different algorithms, and we examined their effects on load predictions to understand the relationship between various factors and electrical load. This study shows that the ANN–GA model has good accuracy and low error rates for load predictions compared to other models, resulting in the best performance for our system. © 2023 by the authors.
  • No Thumbnail Available
    Item
    Resilience-Oriented Restoration Strategy of Networked Microgrids Considering Grid Topology Against Data Intrusion Attacks
    (Institute of Electrical and Electronics Engineers Inc., 2023) Yaldiz A.; Gokcek T.; Erdinc O.; Ates Y.
    This paper presents a novel method for detecting and restoring networked microgrid (MG) systems compromised by topology attacks. A data intrusion attack detection (DIAD) system, utilizing machine learning techniques, is employed to identify tampered or malfunctioning smart meters. Simultaneously, an enhanced topology identification (TI) based graph learning algorithm is proposed to determine the exact fault locations and identify restoration MG zones for pre-event and post-event. A mixed integer linear programming (MILP) oriented approach is then utilized to optimize the load restoration process in networked MG areas. The goal is to rapidly restore critical loads with minimal losses, taking advantage of flexible fault support resources such as grid support storage systems (GSSs), photovoltaic systems (PV s), electric vehicle stations (EVSs), and mobile generators. The propounded model is evaluated, and the results show its effectiveness in handling various topology attack cases for load recovery. © 2023 IEEE.
  • No Thumbnail Available
    Item
    Computer-Aided Design and Analysis of the Earthing System for a Substation in an Industrial Zone: A Real Case Study
    (Institute of Electrical and Electronics Engineers Inc., 2024) Tutus E.K.; Kumru C.F.; Ates Y.; Partal E.
    Design of high-voltage substation earthing is crucial for operational security, human safety, equipment protection, and the earth potential rise impact on third-party installations. However, an earthing system without detailed design and not compliant with regulations may fail to provide the desired level of protection during faults and lightning. In particular, the earthing system's complex geometry and the nonuniform soil structure suggest that empirical formulas based on assumptions cannot provide accurate and detailed designs. In this regard, using software for earthing calculations and analyzing key parameters affecting the design is essential for the accuracy and appropriateness of the design. Therefore, in this study, the earthing system design of a substation is conducted using XGSLab Software. The impact of soil resistivity and ground return current on the zone of influence is analyzed, and the critical touch voltage level of the designed system is determined. Furthermore, the results obtained using XGSLab Software are compared and assessed against conventional calculation methods. The results reveal that the magnitude of the ground return current and the soil resistivity significantly affect the zone of influence and touch voltage. Moreover, it is determined that the use of software with high analysis capacity, rather than conventional empirical formulas, leads to more precise and consistent results in calculation and analysis processes in earthing system designs. © 2024 IEEE.
  • No Thumbnail Available
    Item
    A Different Approach to Eco Design Perspective for Wind Turbine Transformers
    (Institute of Electrical and Electronics Engineers Inc., 2024) Demir C.; Onat N.; Ates Y.; Yagmur Metiner B.; Alemdag O.
    The connection between production capacity and the cost of producing wind turbines is partly due to the economic value of technical equipment. The main components of wind turbines can be classified as the nacelle section (the blades, gear systems and generator located here), tower, foundation, and balance facility components (including transformer and transmission cables). The increase in wind turbine powers in the last 10 years creates new problems in the design and application stages. In transformers that increase in parallel with wind turbine power, the effects of loss costs on the total life cycle cost are reaching remarkable dimensions. This study aims to bring an innovative perspective on the approach outlined in the EN50708 standard which has been recently adopted and is used to determine the level of losses. It has been revealed that it is possible to create more economical options by also taking into account the loading ratio and the activation point of the cooling system for the idle and loaded loss values considered in the transformer efficiency index. © 2024 IEEE.