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Performance Analysis of V2G technology grid connected Microgrid

 

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Performance Analysis of peak shaving and valley filling using V2G technology in grid connected Microgrid

Implementation plan:
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Step 1: Initially, We constructed an EV charging station Simulink Model with grid supply and feeder .

Step 2: Then, we simulate and collect data like current, voltage, SOC and power .

Step 3: Next, we implement charging/discharging logic considering user consent and SoC limits based on collected data.

Step 4: Next, we apply a peak shaving and valley filling strategy using EV battery storage to balance demand based on collected data.

Step 5: Next, we optimize charging/discharging schedules (minimize electricity cost and peak demand subject to SoC and battery health constraints) and estimate economic benefits based on collected data.

Step 6: Finally, we plot performance metrics for the following

6.1: Time vs. Current (A)

6.2: Time vs. Voltage (V)

6.3: Time vs. SOC (%)

6.4: Time vs. Power (kW)

Software Requirements:
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1. Development Tool: Matlab-R2023a/Simulink or above

2. Operating System: Windows-10 (64-bit) or above

Note:
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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. Once implementation begins, modifications will not be feasible without prior input. Kindly ensure that any missing configurations or specifications are clearly outlined in the plan before confirming, as post-implementation changes will not be accommodated.

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, not a real time project.

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