Modeling and Simulink of Multi Agent System Based Energy Storage Management for Standalone DC Microgrid
Implementation Plan:
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Scenario 1: (Conventional centralized EMS)
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Step 1: Initially, we constructed a DC microgrid in Simulink consisting of PV with MPPT, battery, supercapacitor, fuel cell, bidirectional DC–DC converters, and a DC bus .
Step 2: Then, we simulate and collect data such as voltage, currents, SoC, power and load data.
Step 3: Next, we design the Conventional centralized agents algorithm in JADE and load it to make basic decisions using the collected data.
Step 4: Next, we analyze the data-exchange interface to send system measurements and receive control actions based on the collected data.
Step 5: Next, we apply the Conventional centralized based energy management strategy and power sharing using the collected data.
Step 6: Finally, we plot and compare performance metrics for the following
6.1: Time vs. Voltage (V)
6.2: Time vs. Current (A)
6.3: Time vs. State-of-Charge (%)
6.4: Time vs. Load(kwh)
Scenario 2: (Rule-based EMS)
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Step 1: Initially, we constructed a DC microgrid in Simulink consisting of PV with MPPT, battery, supercapacitor, fuel cell, bidirectional DC–DC converters, and a DC bus .
Step 2: Then, we simulate and collect data such as voltage, currents, SoC, power and load data.
Step 3: Next, we design the rule based agents algorithm in JADE and load it to make basic decisions using the collected data.
Step 4: Next, we analyze the data-exchange interface to send system measurements and receive control actions based on the collected data.
Step 5: Next, we apply the Rule based energy management strategy and power sharing using the collected data.
Step 6: Finally, we plot and compare performance metrics for the following
6.1: Time vs. Voltage (V)
6.2: Time vs. Current (A)
6.3: Time vs. State-of-Charge (%)
6.4: Time vs. Load(kwh)
Scenario 3: (MAS based EMS)
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Step 1: Initially, we constructed a DC microgrid in Simulink consisting of PV with MPPT, battery, supercapacitor, fuel cell, bidirectional DC–DC converters, and a DC bus .
Step 2: Then, we simulate and collect data such as voltage, currents, SoC, power and load data.
Step 3: Next, we design the MAS agents algorithm in JADE and load it to make basic decisions using the collected data.
Step 4: Next, we analyze the data-exchange interface to send system measurements and receive control actions based on the collected data.
Step 5: Next, we apply the MAS based energy management strategy and power sharing using the collected data.
Step 6: Finally, we plot and compare performance metrics for the following
6.1: Time vs. Voltage (V)
6.2: Time vs. Current (A)
6.3: Time vs. State-of-Charge (%)
6.4: Time vs. Load(kwh)
Software Requirements:
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1. Development Tool: Matlab-R2023a/Simulink or above with Python
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. 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.
