Energy Management
A.Y. Dewi; M.Y. Arabi; Z.F. Al-lami; M.M. Abdulhasan; A.S. Ibrahim; R. Sattar; D.A. Lafta; B.A. Usmanovich; D. Abdullah; Y. Yerkin
Abstract
Sustainable and efficient energy solutions are needed in the fast-growing energy sector. Meeting these objectives requires smart distribution networks that maximize energy utilization, eliminate losses, and improve system reliability. However, these networks' usefulness and durability depend on their ...
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Sustainable and efficient energy solutions are needed in the fast-growing energy sector. Meeting these objectives requires smart distribution networks that maximize energy utilization, eliminate losses, and improve system reliability. However, these networks' usefulness and durability depend on their ability to quickly recover from faults. Intelligent distribution networks can self-heal, which speeds up restoration and ensures energy delivery. This paper proposes a comprehensive strategy for intelligent distribution network self-healing after flaws. Restoration involves identifying and isolating the damaged area using offline and online methods. Online approaches, notably islanding, have helped restore services in the affected region. This paper presents a novel linear mathematical approach to optimize online islanding. The model estimates the boundaries of islanded microgrids and the appropriate number of microgrids for faults, enabling quick restoration. This analysis also seeks to determine the fault-affected area's system layout. A mathematical model defines the ideal arrangement in the first layer of the two-layered approach. The next layer analyzes unit participation in the intelligent distribution system, focusing on rescheduling, allocation, and organization. Additionally, the study identifies the best energy storage solutions to aid restoration. The recommended strategy uses adaptive load reduction and demand response to maximize system recovery. The mathematical model benefits from various strategies, including faster execution and better outcomes. This research advances intelligent distribution networks by combining advanced mathematical modeling, self-healing, and smart load control. These upgrades boost distribution networks' effectiveness.
Energy Management
H. Hartono; T.M. Hanoon; S.A. Hussein; H.A. Abdulridui; Z.S.A. Ali; N.Q. Mohammed; M.S. Alhassan; K.M.M Qizi; D. Abdullah; Y. Yerkin
Abstract
Solar panel collectors are considered a highly promising technology for renewable energy in urban areas. In this study, the optimization of solar collector orientation to achieve maximum energy efficiency in Sohar, Oman, and Hillah, Iraq, is investigated. A novel approach is introduced, where optimal ...
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Solar panel collectors are considered a highly promising technology for renewable energy in urban areas. In this study, the optimization of solar collector orientation to achieve maximum energy efficiency in Sohar, Oman, and Hillah, Iraq, is investigated. A novel approach is introduced, where optimal deflection angles are determined using a mathematical optimization model, incorporating rigorous numerical calculations based on sun position, solar radiation models, and non-isotropic models. Dynamic variations in solar radiation patterns are revealed, emphasizing the significance of tailored approaches. Optimal tilt angles are identified in Sohar and Hillah, resulting in notable increases in annual energy intake. Additionally, nuanced insights into solar panel orientation optimization are provided through the inclusion of non-isotropic models. The numerical findings illustrate a dynamic interaction among monthly, seasonal, and yearly fluctuations in solar radiation patterns, underscoring the importance of tailored approaches. In Sohar and Hillah, optimal tilt angles are identified, demonstrating significant enhancements in annual energy intake when aligned with these variations. Moreover, the incorporation of non-isotropic models offers nuanced insights into the influence of azimuth angles on radiant energy, stressing the necessity to optimize solar panel orientation toward the equator for improved energy capture. The outcomes indicate a boost of 22%, 8%, and 4% in Sohar, achieved by aligning panels with optimal angles for optimal monthly, seasonal, and yearly performance, respectively. Similarly, in Hillah, a corresponding increase of 23%, 9%, and 4% is observed. Importantly, the study emphasizes that the zenith of energy reception aligns with a zero azimuth angle. As the azimuth angle deviates from zero, both positively and negatively, the quantity of received energy exhibits a proportional increase. The findings contribute to the advancement of solar energy optimization and offer valuable insights for the design of sustainable solar energy systems in urban environments.
