Modeling and Simulation of Smart Buildings With Distributed Energy Generation
Implementation plan:
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Step 1: Initially, we construct the Simulink model with Wind Turbines and solar Photo-Voltaic (PV) energy storage system in IEEE-33 bus system .
step 2: Then we implement PSO and collect solar irradiance and wind speed data .
Step 3: Next, we supply the energy stored in the system into pv using long short-term memory method(DWT-LSTM)
step 4: Next, we Train LSTM module data and forecast with least RMSE error.
Step 5:Next, we implement energy management algorithm to calculate energy stored in a BESS (battery energy storage system)
Step 6: Next, we implement the Z-bus Fault diagnosis method to detect faults in IEEE33 bus systems and reduce it using K-Means clustering Algorithm.
Step 7:Next, we implement the “Micro grid Load Balancing” method to set critical loads with the best LSR values.
Step 8:Finally, we plot performance for the following metrics:
8.1: Time (s) vs. Current (A)
8.2: Time (s) vs. Voltage (V)
8.3: Time (s) vs. State of Charge (%)
8.4: Time (s) Vs. Storage Efficiency(%)
Software Requirements:
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1. Development Tool: Matlab-R2023a/Simulink
2. Operating System: Windows-11 (64-bit)
Note: –
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[1]. We make a simulation based process only, not a real time process.
[2] If the above plan does not satisfy your requirement, please provide the processing details, like the above step-by-step.
[3] Please understand that any modifications made to the confirmed implementation plan will not be made before or after the project development.
[4] If the above plan satisfies your requirement please confirm with us.
