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[IEEE 2018 53rd International Universities Power Engineering Conference (UPEC) - Glasgow, United Kingdom (2018.9.4-2018.9.7)] 2018 53rd International Universities Power Engineering Conference (UPEC) - Load and PV Generation Forecast Based Cost Optimization for Nanogrids with PV and Battery
摘要： Power system resiliency and robustness became major concerns of the system operators and researchers after the introduction of the smart grid concept. The improvements in the battery storage systems (BSS) and the photovoltaic (PV) systems encourage power systems operators to enable the use of those systems in resiliency and robustness studies. Utilization of those systems not only contributes to the robustness of the power systems but also decrease the operational costs. There are several methods in literature to operate the grid systems with partitions of PV and BSS in the most economical way. Although these methods are straightforward and work fine, they can not guarantee the most economical result on a daily basis. In this paper, deep learning based PV generation and load forecasts are used to improve the results of optimization in terms of economic aspects in nano-grid applications. In the considered system, there are loads, PV generation units, BSS and grid connection. Bi-directional power flow is permitted between the main grid and the nano-grid system. The forecasting methodologies and used optimization algorithms will be explained in this paper.
关键词： demand-side management,smart grids,mathematical programming,recurrent neural networks,forecasting
更新于2025-09-04 15:30:14
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[IEEE 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE) - Munich, Germany (2018.8.20-2018.8.24)] 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE) - Simulation-based Performance Assessment of Tool Requalification Strategies in Wafer Fabs
摘要： In this paper, we discuss requalification strategies for stepper tools in semiconductor wafer fabrication facilities (wafer fabs). Before processing lots on steppers, the steppers have to be qualified. A mathematical programming formulation is used periodically to determine appropriate qualification plans. These plans will be implemented at the shop-floor. Dur-ing consecutive planning epochs, certain already established qualifications of steppers can be canceled, for instance, due to stepper breakdowns. We study the performance of several re-qualification strategies in this situation. Therefore, we use a discrete-event simulation framework that allows for applying the mathematical programming formulation in a rolling hori-zon manner and for performing the requalification strategies while the production is executed in the simulation. We demon-strate by designed simulation experiments that some of the pro-posed strategies perform well with respect to throughput and cycle time while requiring only a low additional qualification effort.
关键词： semiconductor wafer fabrication,mathematical programming,discrete-event simulation,requalification strategies,stepper tools
更新于2025-09-04 15:30:14