Modeling and Simulation of MOSAIK Co Simulation Model for Virtual Power Plant Control
Implementation plan:
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Step 1: Initially, we will load and collect data from Smart Grid Real-Time Load Monitoring Dataset.
Step 2: Then, we preprocess the grid data using normalization techniques.
Step 3: Next, we implement Mixed-Integer Quadratic Programming(MIQP) optimization algorithm to maximize VPP profit.
Step 4: Next, we analyze network communication delays and packet loss of data transmission between the VPP control logic.
Step 5: Next, we Integrate MOSAIC framework to optimize measurement selection and control actions under communication delays and data loss.
Step 6: Next, we perform state estimation using delayed or lost measurements and optimizing based on power signals.
Step 7: Finally, we plot performance for the following metrics:
7.1: Time vs. Current (A)
7.2: Time vs. Voltage (V)
7.3: Time vs. Frequency (Hz)
7.4: Time vs. Energy efficiency (%)
Software Requirement:
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1. Development Tool: Python 3.11.4 or above
2. Operating System: Windows 10 (64-bit) or above
Dataset:
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Link : https://www.kaggle.com/datasets/ziya07/smart-grid-real-time-load-monitoring-dataset
Note:
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1) If the plan does not meet your requirements, provide detailed steps, parameters, models, or expected results in advance. Once implemented, changes won’t be possible without prior input; otherwise, we’ll proceed as per our implementation plan.
2) If the plan satisfies your requirement, Please confirm with us.
3) Project based on Simulation only, not a real time project.
4) If you have any changes in the Dataset , kindly provide before implementation.
5) Please understand that any modifications made to the confirmed implementation plan will not be made after the project development.
