Implementatin Plan :
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Step 1: Initially, we construct a DC Micro Grid design with HMPC in Simulink
Step 2: Next, we implement the CLF-based Hybrid Model Predictive Controller for the bidirectional converter connected to the DC microgrid.
Step 3: Then, we simulate the model and collect simulated DC Micro Grid data.
Step 4: Next, we derive the hybrid state-space model of the bidirectional converter and DC microgrid with separate continuous and discrete states for Hybrid MPC.
Step 5: Next, we define a Control Lyapunov Function (CLF) and incorporate the Lyapunov decrease constraint into the Hybrid MPC formulation to guarantee closed-loop stability.
Step 6: Next, we analyze closed-loop operation under load changes, reference voltage variations, and parameter uncertainties based on simulated data.
Step 7: Finally, we evaluate performance metrics for the following:
7.1: Time (s) vs DC Bus Voltage (V)
7.2: Time (s) vs Overshoot (%)
7.3: Time (s) vs Settling Time (s)
7.4: Time (s) vs Steady-State Error (V)
7.5: Time (s) vs Voltage Ripple (V)
7.6: Time (s) vs Current (A)
7.7: Time (s) vs State of Charge (%)
7.8: Time (s) vs SOC Bound Violation (%)
7.9: Time (s) vs Voltage Deviation under Disturbance (V)
7.10: Time (s) vs Recovery Time after Disturbance (s)
Software requirement
1. Development Tool: MatlabR2023a/Simulink or above
2. Operating System: Windows-10 (64-bit) or above
Note:
1) If the proposed plan does not fully align with your requirements, please provide all necessary details—including steps, parameters, models, and expected outcomes—in advance. Kindly ensure that any missing configurations or specifications are clearly outlined in the plan before confirming.
2) If there’s no built-in solution for what the project needs, we can always turn to reference models, customize our own, different math models or write the code ourselves to fulfil the process.
3) If the plan satisfies your requirement, Please confirm with us.
4) Project based on Simulation only.
We perform with an Existing Approach:Ref 4:- Design and stability analysis of a robust model predictive control method for voltage regulation in DC-DC buck converters subject to the input and load uncertainties
