In this work, we consider the evolution of a simple smart grid, composed of intelligent nodes rep... more In this work, we consider the evolution of a simple smart grid, composed of intelligent nodes representative of single households. All the agents are placed in a shared energy market, which pricing depends only on the aggregate energy demand of the grid. In this framework we investigate, from different perspectives, the global dynamics and equilibrium conditions of the system when each household is provided with a storage device and is trying to increase its payoffs by optimizing its storage profiles. Specifically: In the first part we partially replicate the results of 1 by studying the evolution of the daily energy cost profile of the system as each agent acts to minimize its individual payoffs. First we provide a precise definition of the model and then discuss the simulation setting we implemented in order to produce our results. We show, in agreement with the results of 1, that the energy cost during the day are flattened, as the use of battery allows to buy energy off peak and use it at peak. In the second part we relax some constraints of the model allowing energy to be resold. Furthermore, we provide each household also with a solar power plant, whose energy production profile depends on an external weather variable. After presenting in detail this changes to the model we discuss the role of the weather information and the framework in which we measured the value of such information. We then present the simulation setting and the obtained results. Finally, in the conclusions, we recapitulate the obtained results and briefly discuss some possible criticism and extension of this work.
The main goal of this report is to implement the FIR filtering procedure on a FPGA Xilinx Artix-7... more The main goal of this report is to implement the FIR filtering procedure on a FPGA Xilinx Artix-7 board, to study its drawbacks and to apply it over an example dataset.
In this work, we consider the evolution of a simple smart grid, composed of intelligent nodes rep... more In this work, we consider the evolution of a simple smart grid, composed of intelligent nodes representative of single households. All the agents are placed in a shared energy market, which pricing depends only on the aggregate energy demand of the grid. In this framework we investigate, from different perspectives, the global dynamics and equilibrium conditions of the system when each household is provided with a storage device and is trying to increase its payoffs by optimizing its storage profiles. Specifically: In the first part we partially replicate the results of 1 by studying the evolution of the daily energy cost profile of the system as each agent acts to minimize its individual payoffs. First we provide a precise definition of the model and then discuss the simulation setting we implemented in order to produce our results. We show, in agreement with the results of 1, that the energy cost during the day are flattened, as the use of battery allows to buy energy off peak and use it at peak. In the second part we relax some constraints of the model allowing energy to be resold. Furthermore, we provide each household also with a solar power plant, whose energy production profile depends on an external weather variable. After presenting in detail this changes to the model we discuss the role of the weather information and the framework in which we measured the value of such information. We then present the simulation setting and the obtained results. Finally, in the conclusions, we recapitulate the obtained results and briefly discuss some possible criticism and extension of this work.
The main goal of this report is to implement the FIR filtering procedure on a FPGA Xilinx Artix-7... more The main goal of this report is to implement the FIR filtering procedure on a FPGA Xilinx Artix-7 board, to study its drawbacks and to apply it over an example dataset.
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Drafts by Lorenzo Rosset