Project
| # | Title | Team Members | TA | Documents | Sponsor |
|---|---|---|---|---|---|
| 29 | Advanced Modeling and Display of ZJU International Campus Power System |
Erkai Yu Jiahe Li Tiantong Qiao Yilang Feng |
design_document1.pdf proposal1.pdf |
Ruisheng Diao | |
| # Team Member (NetId) - Tiantong Qiao(tqiao4) - Erkai Yu (erkaiyu2) - Jiahe Li (jiaheli2) - Yilang Feng(yilangf2) # Problem The electricity consumption of Haining International Campus of Zhejiang University is high and the visualization is not very intuitive, we intend to build a highly visual electricity consumption model. In addition, features such as AI prediction and intelligent control may be added to optimize the power consumption of the Haining campus. # Solution Our project plan is to build a physical model of the power system in the Haining International Campus of Zhejiang University and to perform power flow calculations using electricity consumption data from the Engineering Department. The brightness/different colors of LED strips are used to represent the current, voltage, power and other information. Based on this, anomaly detection can be implemented for various types of behaviors within the grid, such as abnormal user behaviors and grid infrastructure failures. Given the historical data of power consumption, we can build a vivid demonstration of the power flow inside the campus across the year. Based on that, we can also make predictions of how the power usage will change in the future. If given the live data of power consumption, we will be able to integrate them into our system, both for live demonstration and power monitoring. We also plan to use event-driven algorithms to autonomously detect abnormal conditions or disturbances. Other advanced applications, such as AI intelligent control, grid loss calculation, and installation and connection of distributed wind/photovoltaics power sources can also be developed. # Solution Components (and Distribution of Work) 1. Physical model of the campus -- Solid modeling of international campus districts using 3D printing technology or other modeling methods(Yilang Feng) 2. Power Flow Calculations -- Use software such as OpenDSS or Matpower to calculate the power flow of the electricity consumption of the campus(Tiantong Qiao), and control the LED light bar to display horizontally.(Erkai Yu) 3. Advanced Applications: -- Power usage anomaly detection, AI intelligent control, event-driven short circuit analysis, grid loss calculation, distributed photovoltaic generation, etc(Jiahe Li). # Criterion for Success The success of our project hinges on achieving key performance criteria, including the precision and accuracy of our power flow modeling. Utilizing software like OpenDSS or Matpower, we aim to attain a high level of accuracy in depicting the power flow within the campus, ensuring close alignment with historical and real-time power consumption data. In parallel, the construction of a physically accurate model of the international campus, employing 3D printing technology or other methods, is crucial for creating an immersive and realistic demonstration. Additionally, the implementation of LED strips with varying colors and brightness levels, responsive to calculated power flow and real-time data, is essential for effective representation. Furthermore, the success criteria encompass the accurate prediction of future power usage based on historical data, validation against real-time data, seamless integration of live power consumption data, and the autonomous detection of abnormal conditions through event-driven algorithms. The project's success is further evaluated through the successful implementation and practical assessment of advanced applications such as AI intelligent control, grid loss calculation, and the integration of distributed wind/photovoltaic power sources to enhance the overall capabilities of the campus power system. |
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