Drone Squadron Optimization MPPT of Solar PV System with Partial Shading Effect

Drone Squadron Optimization MPPT of Solar PV System with Partial Shading Effect

If you are looking for a smart MPPT algorithm for solar PV under partial shading, this model presents a clear and practical solution using Drone Squadron Optimization (DSO) in MATLAB/Simulink. The system is designed to track the global maximum power point and avoid getting trapped in local peaks, which is one of the biggest challenges in shaded PV systems.

𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧

Drone Squadron Optimization MPPT of Solar PV System with Partial Shading Effect

Drone Squadron Optimization MPPT in MATLAB

₹10,000.00₹5,000.00

Buy Now

A solar PV system under partial shading does not produce a single smooth power peak.Instead, it creates multiple peaks, including:

• Local peak points

• One global peak point

A normal MPPT method may stop at a local peak and lose available energy.To solve this issue, this model uses Drone Squadron Optimization MPPT, an intelligent optimization-based tracking method.

This product is useful for:

• Students learning PV control techniques

• Researchers working on advanced MPPT methods

• Engineers studying optimization-based solar power extraction

• Users exploring partial shading analysis in MATLAB/Simulink

• 
  

𝐒𝐲𝐬𝐭𝐞𝐦 𝐎𝐯𝐞𝐫𝐯𝐢𝐞𝐰

The proposed system includes the following main blocks:

• Three solar PV panels

• Series-connected PV configuration

• Different irradiation levels to create partial shading

• Voltage and current measurement blocks

• Drone Squadron Optimization MPPT controller

• PWM generator

• Boost converter

• Load section

The main purpose of the system is to:

• Measure PV voltage and current

• Search for the best duty cycle

• Track the global maximum power point

• Control the converter switch using PWM

• Deliver boosted output voltage to the load

• 
  

𝐒𝐲𝐬𝐭𝐞𝐦 𝐏𝐚𝐫𝐚𝐦𝐞𝐭𝐞𝐫𝐬

Parameter	Value / Description
MPPT method	Drone Squadron Optimization (DSO)
PV panels	3 panels
Power per panel	83.28 W
Connection type	Series connection
Operating temperature	25°C
Converter used	Boost converter
Approx. PV-side voltage	Around 30 V
Approx. load-side voltage	Around 60 V to 80 V
Control output	Optimal duty cycle
Switching control	PWM pulse to IGBT

𝐖𝐨𝐫𝐤𝐢𝐧𝐠 𝐏𝐫𝐨𝐜𝐞𝐬𝐬

The operation of the model can be understood in simple steps:

1. Three PV panels operate under different irradiation levels.

2. Partial shading creates multiple power peaks in the PV characteristic.

3. The system measures PV voltage and PV current.

4. The DSO algorithm tests different duty cycle values.

5. It evaluates the corresponding PV power.

6. The method identifies:

   • Local best

   • Global best

7. The best duty cycle is selected.

8. A PWM generator produces switching pulses.

9. The IGBT in the boost converter is controlled.

10. The system extracts maximum available PV power and boosts the voltage for the load.

    
    

𝐂𝐨𝐧𝐭𝐫𝐨𝐥 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐲

The control strategy is based on the Drone Squadron Optimization concept.

In this method:

• Different candidate duty cycles behave like search agents

• Voltage and current are collected for each search step

• Power is calculated for each tested condition

• The algorithm compares the results

• It finds the best local solutions

• Then it determines the global best solution

• The optimal duty cycle is sent to the PWM block

• The converter operates near the global MPP

Why this is effective:

• It reduces the chance of staying at a wrong power peak

• It improves tracking under partial shading

• It gives better power extraction than simple conventional search methods in complex shaded cases

• 
  

𝐏𝐚𝐫𝐭𝐢𝐚𝐥 𝐒𝐡𝐚𝐝𝐢𝐧𝐠 𝐂𝐨𝐧𝐝𝐢𝐭𝐢𝐨𝐧𝐬

The transcript discusses two major irradiation test conditions.

Case	Irradiation Levels	Observation
Case 1	1000, 300, 600 W/m²	Three different irradiation levels create three power peaks
Case 2	1000, 600, 600 W/m²	Two irradiation levels create two major power peaks

𝐏𝐞𝐚𝐤 𝐏𝐨𝐰𝐞𝐫 𝐂𝐨𝐦𝐩𝐚𝐫𝐢𝐬𝐨𝐧

Case	Local Peak 1	Local Peak 2	Global Peak
Case 1	71.91 W	83.48 W	104.5 W
Case 2	71.78 W	—	158 W

Key interpretation:

• In Case 1, the algorithm must avoid the lower peaks and extract 104.5 W

• In Case 2, the algorithm must track the higher available peak near 158 W

𝐒𝐢𝐦𝐮𝐥𝐚𝐭𝐢𝐨𝐧 𝐑𝐞𝐬𝐮𝐥𝐭𝐬

The simulation results clearly show the effectiveness of the DSO-based MPPT method.

Main observations:

• The PV system tracks power near the global maximum point

• The controller avoids being trapped at local peaks

• The boost converter successfully raises the voltage

• PV voltage, load voltage, PV current, and load current show proper dynamic response

• The tracking time is around 1 second in the discussed case

• Under varying irradiation levels, the algorithm still moves toward the correct operating point

  
  

𝐑𝐞𝐬𝐮𝐥𝐭 𝐒𝐮𝐦𝐦𝐚𝐫𝐲

Output / Observation	Result
Global peak tracking in Case 1	Around 103–104 W achieved
Global peak tracking in Case 2	Near 158 W
Converter function	Boosts low PV voltage to higher load voltage
Tracking under partial shading	Successful
Response time	About 1 second
Measured outputs	PV power, load power, PV voltage, load voltage, PV current, load current

𝐊𝐞𝐲 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬

• Advanced optimization-based MPPT

• Effective operation under partial shading

• Tracks the global maximum power point

• Avoids local peak trapping

• Includes PWM-controlled boost converter

• Measures both PV-side and load-side responses

• Clear MATLAB/Simulink implementation

• Useful for academic and research analysis

• Suitable for performance study and control validation

• Easy to understand for beginners in PV optimization

• 
  

𝐖𝐡𝐲 𝐔𝐬𝐞 𝐃𝐒𝐎 𝐟𝐨𝐫 𝐌𝐏𝐏𝐓?

A DSO-based MPPT method is helpful because:

• Shaded PV systems often have multiple peaks

• Conventional tracking may miss the true best point

• Optimization helps search more intelligently

• It improves the chance of extracting higher available solar power

• It is well suited for dynamic shading scenarios

𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

This model can be used in many learning and research areas:

• Solar PV system analysis

• Partial shading studies

• MPPT algorithm development

• Optimization-based control research

• Boost converter control studies

• MATLAB/Simulink training

• Renewable energy laboratory work

• Academic demonstrations and simulation-based learning

𝐖𝐡𝐨 𝐂𝐚𝐧 𝐁𝐞𝐧𝐞𝐟𝐢𝐭?

User Group	Benefit
Students	Learn how intelligent MPPT works under partial shading
Researchers	Study optimization-based global MPP tracking
Engineers	Analyze converter control and PV power extraction
Faculty / Trainers	Use as a teaching model for renewable energy topics

𝐂𝐨𝐧𝐜𝐥𝐮𝐬𝐢𝐨𝐧

The Drone Squadron Optimization MPPT of Solar PV System with Partial Shading Effect is a strong and practical simulation model for understanding global MPP tracking in shaded PV conditions. With three series-connected panels, variable irradiation, and a PWM-driven boost converter, the model demonstrates how an intelligent optimization algorithm can successfully extract higher power and avoid local peaks.

For anyone interested in solar PV control, MPPT algorithms, partial shading behavior, and MATLAB/Simulink implementation, this product offers a clear and valuable learning platform.