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Öğe CONTROL APPROACH OF A GRID CONNECTED DFIG BASED WIND TURBINE USING MPPT AND PI CONTROLLER(Vsb-Technical Univ Ostrava, 2023) Yonis, Samatar A. B. D., I; Yusupov, Ziyodulla; Habbal, Adib; Toirov, OlimjonA double-fed induction generator (DFIG) has been frequently utilized in wind turbines due to its ability to handle variable-speed operations. This study investigates the real parameters of the Mitsubishi MWT 92/2.4 MW wind turbine model. It performs and implements grid-connected variable-speed turbines to control the active and reactive powers. Moreover, it presents a vector control strategy for DFIG for controlling the generated stator power. The unique feature of the approach proposed in the study is the comparison between two control techniques -the Maximum Power Point Tracking (MPPT) algorithm and the Proportional-Integral (PI) controller -for regulating DFIG based wind turbine systems. Thus, the result demonstrates that the performance of the MPPT technique provides strong robustness and reaches steadystate much faster than the PI controller with variable parameters. To the contrary, a typical PI controller gives a fast response when tracking the references of DFIG magnitudes. The effectiveness of the overall system is tested by MATLAB simulation.Öğe Designing an energy management system for household consumptions with an off-grid hybrid power system(Amer Inst Mathematical Sciences-Aims, 2022) Elwedded, Mohamed; Gueneser, Muhammet; Yusupov, ZiyodullaThis paper analyzes the effect of meteorological variables such as solar irradiance and ambient temperature in addition to cultural factors such as consumer behavior levels on energy consumption in buildings. Reducing demand peaks to achieve a stable daily load and hence lowering electricity bills is the goal of this work. Renewable generation sources, including wind and Photovoltaics systems (PV) as well as battery storage are integrated to supply the managed home load. The simulation model was conducted using Matlab R2019b on a personal laptop with an Intel Core i7 with 16 GB memory. The model considered two seasonal scenarios (summer and winter) to account for the variable available energy sources and end-user electric demand which is classified into three demand periods, peak-demand, mid-demand, and low-demand, to evaluate the modeled supply -demand management strategy. The obtained results showed that the surrounding temperature and the number of family members significantly impact the rate of electricity consumption. The study was designed to optimize and manage electricity consumption in a building fed by a standalone hybrid energy system.Öğe Development of a Mas Based Distributed Intelligent Control and Fault Control Strategy for Microgrid(Gazi Univ, 2021) Issa, Anis; Yusupov, ZiyodullaThe technology of Multi-Agent-System (MAS) has a lot of attractive qualities such as proactivity, flexibility, reactivity and sociality. It is extensively established as the technology platform for implementing efficient and effective processes of management and automation within a microgrid platform. This paper presents the design and development of the microgrid system using MATLAB-Simulink software with multi-agent system platform. The JAVA agent development framework (JADE) is used for implementing MAS software. MAS consist of the three agents are distributed energy source agent, load agent and control agent. The distributed agent used to monitor and control the power level of the different energy sources in the microgrid. The load agent used to monitor the power consumption level of the consumer. The control agent used to control the power flow from energy source to load and also used for restructuring the power network based on abnormality of the system. To test the effectiveness of the developed system, simulation studies are carried out for different operating conditions of the microgrid system. From the test result, the developed system outperform in all aspect.Öğe Development of a mas based distributed intelligent control and fault control strategy for microgrid(2021) Issa, Anis; Yusupov, ZiyodullaThe technology of Multi-Agent-System (MAS) has a lot of attractive qualities such as proactivity, flexibility, reactivity andsociality. It is extensively established as the technology platform for implementing efficient and effective processes of managementand automation within a microgrid platform. This paper presents the design and development of the microgrid system usingMATLAB-Simulink software with multi-agent system platform. The JAVA agent development framework (JADE) is used forimplementing MAS software. MAS consist of the three agents are distributed energy source agent, load agent and control agent.The distributed agent used to monitor and control the power level of the different energy sources in the microgrid. The load agentused to monitor the power consumption level of the consumer. The control agent used to control the power flow from energy sourceto load and also used for restructuring the power network based on abnormality of the system. To test the effectiveness of thedeveloped system, simulation studies are carried out for different operating conditions of the microgrid system. From the test result,the developed system outperform in all aspect.Öğe Effect of Fuel Cells on Voltage Sag Mitigation in Power Grids Using Advanced Equilibrium Optimizer and Particle Swarm Optimization(Tafila Technical Univ (Ttu), 2023) Khaleel, Mohamed Mohamed; Yusupov, Ziyodulla; Guneser, Muhammet; Ghandoori, Tahir Mohamed; Abulifa, Adel Ali; Ahmed, Abdussalam Ali; Alsharif, AbdulgaderIntegration of Proton Exchange Membrane Fuel Cell (PEMFC) with electrical power grid (EPG) can improve the power quality (PQ) of EPG by injecting the required power. However, this makes the PQ issue more complicated due to the negative impact of voltage sag on EPG. Unfortunately, the classical P-I controllers fail in eliminating the voltage sag. In this context, this paper, attempts to mitigate the voltage sag in an interconnected PEMFC-EPG system by utilizing advanced equilibrium optimizer (AEO) and particle swarm optimization (PSO) controllers, and their efficiency is demonstrated by comparison with conventional P- I controllers. To achieve this goal, the AEO-PEMFC and PSO-PEMFC are employed in the EPG line with different fault scenarios. The obtained results unveil that both AEO-PEMFC and PSO-PEMFC provide the needed boost of voltage in the single line-to-ground faults (SLGF) scenario by 100.00%. For double line- to-ground faults (DLGF) scenario, a voltage boost of 99.56% and 98.39% is achieved while a voltage boost of 98.50% and 97.45% for the three line- to-ground faults (TLGF) scenario is obtained by the AEO-PEMFC and PSO-PEMFC, respectively.Öğe Energy Management Techniques in Off Grid Energy Systems: A Review(Springer International Publishing Ag, 2022) Elweddad, Mohamed; Guneser, Muhammet Tahir; Yusupov, ZiyodullaEnergy management system (EMS) algorithms and strategies are improved to make sure power continuity in all circumstances, minimizing energy production cost and protect grid components from being damaged. Energy management presents a viable solution to issues relating to the energy sector, such as rising demand, rising energy costs, sustainable supply, and environmental impact. The approaches performing energy management strategies, solution algorithms, and systems simulations to overcome many problems in low voltage distribution systems. Furthermore, in this paper some techniques and methodologies are considered to improve energy management of off-grid power systems with microgrid. The reviewed works in this paper cover the various structures of off-grid hybrid microgrids. The most common technologies and strategies have been used in the field of power management, in addition, providing of some future research directions.Öğe Evolution of Emissions: The Role of Clean Energy in Sustainable Development(Acadlore Publishing House, 2024) Khaleel, Mohamed; Yusupov, Ziyodulla; Alderoubi, Nabeh; Abdul-Jabbar, Rawad L.; Elmnifi, Monaem; Nassar, Yasser; Majdi, Hasan ShakirThis paper assesses green energy technology with respect to its profound impacts, particularly photovoltaic (PV) installed capacity, wind installed capacity and hydrogen fuel cells installed capacity on sustainable development as well as mitigating greenhouse gas emissions. Additionally, the study examines recent technological improvements and empirical facts that indicate how renewable sources of energy facilitates decrease in carbon emission and further supports global sustainability goals. As a result, major findings show significant declines in CO2 releases after extensive PV, wind and hydrogen fuel cell technologies have been deployed. The examples from China, EU countries, USA, India and Japan demonstrate these accomplishments. Cumulative CO2 emissions from 2015 to 2023 for China were 102.0 Gt; while the United States had 43.0 Gt; EU- 25.4 Gt; India - 21.7 Gt; Japan -10.0 Gt, respectively.Öğe Feasibility assessment of hybrid renewable energy based EV charging station in Libya(Libyan Center for Solar Energy Research and Studies, 2024-11-13) Abodwair, Abdullah; Guneser, Muhammet T.; Khaleel, Mohamed M.; Nassar, Yasser F.; El-Khozondar, Hala J.; Yusupov, Ziyodulla; Elbaz, AbdurazaqThis study presents an assessment of the feasibility of implementing a hybrid renewable energy-based electric vehicle (EV) charging station at a residential building in Tripoli, Libya. Utilizing the advanced capabilities of HOMER Grid software, the research evaluates multiple scenarios involving combinations of solar and wind energy sources integrated with energy storage and the utility grid. This analysis provides a novel approach to enhancing urban energy systems with renewable technologies in a region traditionally reliant on fossil fuels. Furthermore, the study addresses the practical implications for local energy policy, suggesting that such hybrid systems can significantly enhance energy security and support sustainable urban development. The authors studied five scenarios using HOMER. The results reveals that the annual total costs and payback periods are as follows: for Scenario 1 (wind/utility grid), the expenditure totals US$1,554,416 and payback period of 4.8/5.8 years; for Scenario 2 (solar/wind/Utility grid), the amount is US$1,554,506 and payback period of 4.8/5.8 years; and for Scenario 3(solar/wind/storage/utility grid), it escalates slightly to US$1,554,731, all predicated on the utility grid tariffs and payback period of 4.8/5.8 years. Furthermore, in Scenario 4 (solar/ utility grid), the annual total cost is significantly reduced to US$30,589 and a payback period of 8.1/14.3 years, while Scenario 5 (solar/storage/utility grid) incurs an even lower expenditure of US$28,572, again based on the utility grid tariffs and a payback period of 14.0 years. The findings contribute valuable insights into the scalability and adaptability of renewable energy solutions, providing a robust framework for policymakers and planners considering similar implementations in other regions. Overall, the research underscores the potential of integrated renewable energy systems to transform urban energy infrastructures, promoting a sustainable and resilient energy future. The HOMER Grid analysis shows that configurations with energy storage are more cost-effective in the long run, even though they require higher initial costs. It also offers important insights into the economic viability and optimization of hybrid renewable energy systems for an EV charging station in Tripoli, Libya. These results highlight the significance of making calculated investments in renewable energy infrastructure and supporting policies for the development of sustainable energy.Öğe Grey wolf optimized economic load dispatch including battery storage in microgrid(2024) Aljrıbı, Salem Faraj; Yusupov, ZiyodullaIn last decades, grey wolf optimizer algorithm as a new meta-heuristic optimization technique plays major role in optimization of engineering problems such as load forecasting, controller parameter tuning and job scheduling. In this paper, grey wolf optimization (GWO) is used to optimize the microgrid system for effective dispatching of power to load with economic manner. The model of microgrid system components are developed and investigated in the MATLAB/Simulink platform. The vital objective of the proposed grey wolf algorithm is to minimize overall cost of the microgrid operation. The detailed investigation is carried out on power dispatch optimization and cost minimization for both modes, i.e. island and grid-connected modes of the microgrid system with considering the impact of running costs. From the analysis, the cost of the overall system is optimized effectively, and load sharing is done effectively by means of GWO.Öğe Harnessing nuclear power for sustainable electricity generation and achieving zero emissions(SAGE Publications Inc., 2025-01-23) Khaleel, Mohamed; Yusupov, Ziyodulla; Rekik, Sassi; Kılıç, Heybet; Nassar, Yasser F.; El-Khozondar, Hala J.; Ahmed, Abdussalam AliNuclear power plays a pivotal role in sustainable electricity generation and global net zero emissions, contributing significantly to this secure pathway. Nuclear power capacity is expected to double, escalating from 413 gigawatts (GW) in early 2022 to 812 GW by 2050 within the net zero emissions (NZE) paradigm. The global energy landscape is undergoing significant transformation as nations strive to transition to more sustainable energy systems. Amidst this shift, nuclear power has emerged as a crucial component in the pursuit of a sustainable energy transition. This study examines nuclear power's multifaceted role in shaping sustainable energy transition. It delves into nuclear energy's contributions toward decarbonization efforts, highlighting its capacity to provide low-carbon electricity and its potential role in mitigating climate change. Furthermore, the study explores the challenges and opportunities associated with integrating nuclear power into energy transition strategies, addressing issues such as safety, waste management, and public perception. In conclusion, the global nuclear power capacity is anticipated to reach approximately 530 GW by 2050, representing a substantial shortfall of 35% compared with the trajectory outlined in the NZE pathway. Under the NZE scenario, nuclear power demonstrates exceptional expansion, nearly doubling from 413 GW in early 2022 to 812 GW by 2050. Concurrently, the trajectory highlights a transformative shift in renewable energy investments, with annual expenditures surging from an average of US$325 billion during 2016–2020 to an impressive US$1.3 trillion between 2031 and 2035. These projections underscore the critical role of nuclear and renewable energy investments in achieving global sustainability and emission reduction goals.Öğe Short-term Load Forecasting in Grid-connected Microgrid(Ieee, 2019) Izzatillaev, Jurabek; Yusupov, ZiyodullaThe integration of distributed energy resources (DER) into main grid need to consider the influence of many factors. One of them is the determination of electric load in Microgrid. Creating a feasible and efficient Microgrid based on the predicted power load is more relevant. The paper analyzes the forecasting of the electric energy consumption in Microgrids, analyzes the area of applicability, advantages and disadvantages of short-term forecasting methods of power consumption. Two methods - Group Method of Data Handling (GMDH) and Artificial Neural Networks (ANN) are used to determine short-term load forecasting.Öğe Techno-economic and environmental analysis of microgrid: A case study of Karabuk University(Yildiz Technical Univ, 2023) Yusupov, Ziyodulla; Almagrahi, NuriThe interest for microgrids has increased in the last decades, bringing important conditions such as energy efficiency, reduction of production pollution, reliability of the system. Microgrid as a key of Smart Grid plays a vital role in power losses reduction, voltage profile improvement, mitigating the pollutant emission, enhance the reliability and quality of power system. In this paper the techno-economic and environmental analysis of Karabuk university Microgrid are considered. The Microgrid of Karabuk university campus is simulated and analyzed by HOMER (Hybrid Optimization Models for Energy Resources) software for optimization, sensitivity, demand response and pollutant emissions. The results of the techno-economic and environmental analysis suggest the integration of new distributed generation for 25-years of service time. In the proposed scenario, legalized cost of energy is $0.284 with renewable fraction of 14.8%, net present cost and operating cost decrease to 11.28% and 21.21%, respectively. It has showed that the proposed hybrid microgrid system contributes to the clean university campus concept and provides the lowest cost of electricity with the best payback time.
