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Analysis of Integration of Plug-in Hybrid Electric Vehicles in the Distribution GridKarnama, Ahmad January 2009 (has links)
The new generation of cars are so-called Plug-in Hybrid Electric Vehicles (PHEVs) which has the grid connection capability. By the introduction of these vehicles, the grid issues will be connected to the private car transportation sector for the first time. The cars from the gird perspective can be considered as a regular load with certain power factor. The effects of this type of new load in distribution grid are studied in this thesis. By modelling the cars as regular load, the effects of the cars in three distinct areas in Stockholm are investigated. The car number in each area is estimated based on the population and commercial density of electricity consumption in the three areas. Afterward, the average electricity consumption by the cars in one day is distributed among 24 hours of the day with peak load in the studied year. This distribution is done by two regulated and unregulated methods. The regulated method is based on the desired pattern of electricity consumption of PHEVs by vehicle owners. On the other hand, the regulated pattern is designed based on encouragement of the car owners to consume electricity for charging their car batteries at low-power hours of day (usually midnight hours). The power system from high voltage lines in Sweden down to 11 kV substations in Stockholm simulated in PSS/E software has been used in this study. The automation program (written in Python) is run in order to get the output report (voltage variation and losses) of the load flow calculations for different hours of day by adding the required power for PHEVs both by regulated and unregulated patterns. The results show the possibility of introducing growing number of cars till year 2050 in each area with existing grid infrastructures. Moreover, the number of cars, yearly and daily electric consumption for PHEVs in pure electric mode are shown in this project and the effects of regulated electricity consumption are investigated. It is concluded that since the car number is estimated based on the population, the areas with higher residential characteristics are more problematic for integration of PHEVs from capacity point of view. Moreover, by regulating the charging pattern of PHEVs, the higher number of PHEVs can be integrated to the grid with the existing infrastructures. In addition, the losses have been decreased in regulated pattern in comparison with unregulated pattern with the same power consumption. The voltage in different substations is within the standard boundaries by adding 100 percent of PHEVs load for both regulated and unregulated patterns in all three areas.
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A New Market Logic Approach for Achieving Load Profile Smoothness in the Swedish Electricity Market : Incorporating Inventory Management Principles for Optimized Battery OperationAntoniadis, Theodoros January 2022 (has links)
As the demand for imported electricity from the grid continues to increase in Södermanland county, achieving a smoother load profile for the overall imports becomes very critical. The utilization of batteries in every type of a company’s infrastructure aims to provide a backup solution when the electric network’s capabilities are unable to support demand for high imported capacities. The current degree project aims to analyse the impact of a New Market Logic, which encourages the prospective stakeholders of a future industrial park to invest in upgrades of their energy infrastructures. Interviews with company employees and literature reviews were used to analyse the conventional energy system according to its power-generating entities, distribution operators, and market norms of electricity. Microsoft Excel was used to simulate a model that aligns with the research goal specifications. Sensitivity analysis was also carried out to provide a better understanding of how different aspects impact the economics and the energy flows. Inventory management theory principles were applied to the design of an integrated battery charging algorithm with the goal of achieving a smother load profile while keeping a low battery capacity. The results indicated a smoother load profile of the companies, followed by a lower intensity in fluctuations during hourly peaks. Further, the author observed a positive economic impact on the yearly cash flows of the companies accompanied with a sustainable investment cost. This was particularly evident when the charges were adjusted according to the norms introduced by the New Market Logic. / <p>This thesis is a part of the integrated Master's studies program at the Department of Mechanical Engineering at the Aristotle University of Thessaloniki. The author had the privilege of completing it in Sweden through the Erasmus+ Exchange program. </p>
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Machine learning based user activity prediction for smart homesGoutham, Mithun January 2020 (has links)
No description available.
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