Current Issue : October-December Volume : 2025 Issue Number : 4 Articles : 5 Articles
Artificial Intelligence is fundamentally transforming datacenter infrastructure management, creating unprecedented opportunities for performance optimization, energy efficiency enhancement, and thermal control. As datacenters face increasing computational demands from AI workloads, the paradoxical application of AI technologies to manage these same facilities has demonstrated remarkable efficiency gains across operational domains. The global AI-driven datacenter market is projected to grow substantially through the coming years, with power requirements increasing dramatically during the same period. This growth creates substantial challenges that traditional management approaches cannot adequately address. Contemporary AI implementations in resource allocation achieve high computational demand prediction accuracy, while reducing overprovisioning and operational costs. In the realm of energy management, AI-powered cooling systems have demonstrated significant energy reductions, with DeepMind implementation achieving considerable reduction in cooling requirements. Thermal management has similarly benefited from AI integration, with contemporary systems predicting thermal events with high accuracy several minutes before manifestation, reducing thermal-related incidents while decreasing cooling energy consumption. Despite implementation challenges including data integration difficulties, legacy infrastructure compatibility issues, and skills gaps, the transformative potential of AI in datacenter management continues to drive innovation toward increasingly autonomous, efficient, and sustainable facilities....
A power factor correction circuit for a single-phase arc welding power source using digital soft switching technology is proposed. The overall hardware structure of the system, the topology principle of the selected soft switch boost circuit, and the software design approach are discussed. The power factor correction results of the soft switch are verified under two conditions: electronic load and TIG arc welding. By using the electrical signals of the resonating capacitor and switching tube, it is confirmed that the circuit successfully achieved zero current conduction and zero voltage turn off. Through testing the power factor and efficiency of electronic loads at different powers, it was confirmed that the power factor can reach 0.985 or above, and the overall efficiency has been improved. Through TIG arc welding experiments under different welding currents, the corrected electrical signals are analyzed to verify the effectiveness of power factor correction for single-phase arc welding power....
This paper proposes an optimization strategy for Feeder Terminal Unit (FTU) configuration in distribution networks, accounting for the influence of Distributed Generation (DG). Firstly, the impact of different FTU configurations on load interruption duration was analyzed. Regions were divided based on the planned installation locations of FTUs, and a model for calculating load interruption losses in different regions was established. Secondly, an all-probability model was introduced to calculate the probability of DG disconnection during faults. The importance weight of DG was determined based on its capacity, and a loss model for photovoltaic disconnection was constructed accordingly. Then, an optimization configuration model was established with the objective of minimizing the weighted sum of FTU installation costs, load interruption losses, and DG disconnection losses, while constraining the solution by supply reliability. Finally, the accuracy of the proposed optimization model was validated using Particle Swarm Optimization (PSO) through the IEEE 33-node distribution network model....
The continuous distribution ability of electricity is defined as the effectiveness of the computation of reliability indices. Therefore, we conducted a reliability assessment and evaluated the performance of the distribution system in the Freeport Area of Bataan (FAB). For reliability assessment, software was developed to automate the computation of indices, including system average interruption frequency index (SAIFI), system average interruption duration index (SAIDI), customer average interruption frequency index (CAIFI), and customer average interruption duration index (CAIDI). Through reliability assessment and evaluation, the low-performing distribution network of the FAB was successfully identified. After the identification of the low-performing network, reconductoring and redundant feeder line projects were proposed to alleviate and reduce the occurrence of power interruptions. An analysis of its economy was also conducted, and the result showed that line reconductoring from bare conductor to insulated cable was the most feasible option since it resulted in a high benefit–cost ratio (BCR) and a positive net present value (NPV) for all evaluated cases....
Due to the intermittency and volatility of renewable energy generation, the safe and stable operation of the power system is affected, leading to issues such as frequency deviations in the grid and voltage exceeding limits during grid connection. Therefore, energy storage is required to smooth out the fluctuations of renewable energy and facilitate its absorption. This paper studies the capacity optimization allocation of electrochemical energy storage on the new energy side and establishes the capacity optimization allocation model on the basis of fully considering the operation mode of electrochemical energy storage. Aiming at maximum net benefit and minimum grid-connected fluctuation, the model considers the constraints of energy storage capacity and power upper and lower limits, charge and discharge power constraints and state of charge constraints, and adopts the NSGA-II method (Non-dominated Sorting Genetic Algorithm II) to solve it. The example analysis shows that the energy storage configuration scheme can take into account the effect of smoothing fluctuation and economy by adopting the strategy proposed in this paper, ensuring the maximum life of energy storage based on the electrochemical energy storage operation mode. It is verified that the proposed strategy can increase the life of energy storage by 3 times....
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