Smart Energy Grid Simulation
Project number:
24039
Sponsor:
Tucson Electric Power
Academic year:
2023-2024
Design Component:
• Develop a comprehensive plan for the smart energy grid system design.
• Determine various power generation sources, including renewable options (e.g., solar, wind, hydro) and traditional sources.
• Select appropriate energy storage technologies based on capacity, efficiency, and cost considerations.
• Design the distribution network, including lines, transformers, and substations, to efficiently connect power generation sources and consumers.
Simulation Component:
• Utilize simulation software (e.g., MATLAB, Simulink, or PSCAD) to create a virtual model of the smart energy grid system.
• Configure simulation parameters, including power generation, energy storage, distribution components, and load models.
• Define control strategies and algorithms to optimize energy distribution, achieve load balancing, and enable demand response.
• Run simulations to evaluate the system's performance under various scenarios and conditions.
• Simulation should output data for individual customers which includes information like their real time energy cost and what generation method they are currently using.
• Configure simulation to have an interactive method so that during presentation, parameters can be changed to affect the system.
Evaluation and Conclusions:
• Evaluate the performance and efficiency of the simulated smart energy grid system.
• Discuss the advantages, challenges, and potential impacts of implementing smart energy grid technology.
• Propose possible improvements or modifications to enhance the system's performance.
• Develop a comprehensive plan for the smart energy grid system design.
• Determine various power generation sources, including renewable options (e.g., solar, wind, hydro) and traditional sources.
• Select appropriate energy storage technologies based on capacity, efficiency, and cost considerations.
• Design the distribution network, including lines, transformers, and substations, to efficiently connect power generation sources and consumers.
Simulation Component:
• Utilize simulation software (e.g., MATLAB, Simulink, or PSCAD) to create a virtual model of the smart energy grid system.
• Configure simulation parameters, including power generation, energy storage, distribution components, and load models.
• Define control strategies and algorithms to optimize energy distribution, achieve load balancing, and enable demand response.
• Run simulations to evaluate the system's performance under various scenarios and conditions.
• Simulation should output data for individual customers which includes information like their real time energy cost and what generation method they are currently using.
• Configure simulation to have an interactive method so that during presentation, parameters can be changed to affect the system.
Evaluation and Conclusions:
• Evaluate the performance and efficiency of the simulated smart energy grid system.
• Discuss the advantages, challenges, and potential impacts of implementing smart energy grid technology.
• Propose possible improvements or modifications to enhance the system's performance.
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