Browsing by Author "Ates, Y"

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    Load Forecasting Based on Genetic Algorithm-Artificial Neural Network-Adaptive Neuro-Fuzzy Inference Systems: A Case Study in Iraq
    AL-Qaysi, AMM; 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.
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    Optimal Bidding Strategy of a Pumped Hydro Energy Storage Integrated Nuclear Power Plant considering Possible Outage
    Uguz, F; Turan, A; Gökçek, T; Ates, Y; Erdinç, O
    Recently, harmful gases emitted into the atmosphere disrupt the balance of nature and cause climate changes. The tendency towards renewable energy is increasing in order to prevent climate change. The importance of the conventional power plants in the power system is maintained due to the intermittent nature of renewable energy sources. In this regard, nuclear power which is one of the conventional power plants takes attention. In this study, a new approach for optimal scheduling of a Pumped Hydro Energy Storage (PHES) integrated Nuclear Power Plant (NPP) system is proposed. It is expected that PHES provides significant economic contribution to the grid operator especially by ensuring energy supply security of the NPP. Two different market types named Day Ahead Market (DAM) and Balancing Market (BM) in Turkey are implemented in the trades by using real electricity prices obtained from Energy Exchange Istanbul (EXIST), which is Energy Market Operator in Turkey. In order to evaluate the effectiveness of the proposed model, seasonal impacts of four different months are also examined in several case studies. Furthermore, sustainability analyzes are conducted considering probability of interruption of the NPP during 8 hours. According to the results, it is observed that promising solutions can be obtained thanks to the integration of the PHES in the presence of the different market types even if outages are planned.
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    Pilot Scheme Conceptual Analysis of Rooftop East-West-Oriented Solar Energy System with Optimizer
    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.
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    Microgrid Frequency Regulation and Optimal Sizing of Emergency Generator Considering VSG Coupled Electric Vehicles
    Gülkaya, B; Gökçek, T; Ates, Y; Boynuegri, AR
    Recently, the transition from conventional to renewable energy sources (RESs), from internal combustion engine vehicles to electric vehicles (EVs), and from the main grid to microgrids (MGs) are essential goals to both reduce greenhouse gas emissions and ensure the stability of power systems. However, the transitions cause new concerns in the grid including technical challenges and financial viability. This study examines the RES-based MG under realistic conditions considering the uncertainty in fleet size of EVs, emergency generator capacity, solar irradiation, and wind speed in island mode. The work aims to provide effective solutions including conventional methods alongside today's trend namely doubly fed electrical generators (DFIG), vehicle-to-grid mechanism (V2G), maximum power point tracking controller (MPPT), voltage source inverter (VSI) with high switching frequency for technical challenges, and virtual synchronous generator (VSG) mechanism for financial viability. The paper provides a guide for resizing the emergency generators capacity depending on system instability. The observations verify that the control mechanisms reinforce the system to remain stable by decreasing the range of frequency fluctuation from 3.1 to <0.05 Hz, the peak point of frequency from 51.8 to 50.05 Hz, and the emergency generator capacity from 0.7605 to 0.3420 MVAr at MATLAB and Simulink.
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    Computer-Aided Design and Analysis of the Farthing System for a Substation in an Industrial Zone: a Real Case Study
    Tutus, EK; Kumru, CF; 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.