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Grid Connected Hybrid Solar PV Wind with Battery Energy Storage System

Grid Connected Hybrid Solar PV Wind with Battery Energy Storage System


𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧

The Grid Connected Hybrid Solar PV Wind with Battery Energy Storage System is a MATLAB/Simulink-based renewable energy model that combines solar PV generation, wind energy conversion, battery storage, and grid integration through a common DC bus.


Grid Connected Hybrid Solar PV Wind with Battery Energy Storage System


Grid connected Pv wind with battery system
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The model demonstrates how multiple renewable energy sources can operate together under changing environmental conditions while maintaining a regulated 400 V DC bus.

Key concepts demonstrated include:

  • Solar PV power generation

  • PMSG-based wind energy conversion

  • Solar and wind MPPT control

  • Battery charging and energy balancing

  • Bidirectional DC-DC conversion

  • DC-bus voltage regulation

  • Grid-connected inverter control

  • dq-frame current control

  • LCL filtering

  • Variable solar irradiance

  • Variable wind speed

  • Grid-current regulation

𝐒𝐲𝐬𝐭𝐞𝐦 𝐎𝐯𝐞𝐫𝐯𝐢𝐞𝐰

The hybrid renewable energy system consists of three main energy sources connected to a common DC link.

System Section

Main Components

Main Function

Solar PV

PV array + boost converter

Generates solar power

Solar MPPT

Incremental Conductance

Extracts maximum PV power

Wind System

Wind turbine + PMSG

Generates wind power

Wind Rectifier

AC-DC rectifier

Converts PMSG output to DC

Wind Converter

Boost converter

Raises wind-side DC voltage

Wind MPPT

P&O algorithm

Extracts maximum wind power

Battery System

Battery + bidirectional DC-DC converter

Stores or supplies energy

DC Bus

Common DC link

Couples PV, wind, battery and inverter

Grid Interface

Grid-connected inverter

Transfers power between DC and AC sides

Filter

LCL filter

Improves grid-side current quality

Inverter Control

dq-frame PI control

Regulates grid current

𝐌𝐚𝐢𝐧 𝐒𝐲𝐬𝐭𝐞𝐦 𝐏𝐚𝐫𝐚𝐦𝐞𝐭𝐞𝐫𝐬

The simulation includes the following important operating values.

Parameter

Value / Condition

Solar PV rated power

Around 2 kW

Wind generation capacity

Around 2.77–2.8 kW

Common DC-bus reference

400 V

Initial wind speed

12 m/s

Wind-speed change time

2 s

Reduced wind speed

Approximately 10.1–10.7 m/s as described in the simulation

Maximum PV irradiance

1000 W/m²

Intermediate irradiance

500 W/m²

Low irradiance condition

Around 10 W/m²

Irradiance changing interval

Approximately 0.3 s

Wind MPPT

Perturb and Observe (P&O)

PV MPPT

Incremental Conductance

DC-link control

PI-based voltage controller

Grid converter control

dq-frame current control

𝐒𝐨𝐥𝐚𝐫 𝐏𝐕 𝐒𝐲𝐬𝐭𝐞𝐦

The solar PV section is rated at approximately 2 kW.

Its output is connected to the common DC bus through a DC-DC boost converter.

𝐏𝐕 𝐩𝐨𝐰𝐞𝐫 𝐟𝐥𝐨𝐰

Solar PV → Boost Converter → Common DC Bus → Inverter → Grid

The PV system uses an Incremental Conductance MPPT algorithm.

The controller:

  • Measures PV voltage

  • Measures PV current

  • Determines the maximum-power operating condition

  • Generates the converter control command

  • Adjusts the boost converter

  • Continuously tracks PV maximum power

This allows the PV array to respond effectively to changing solar irradiance.

𝐏𝐕 𝐈𝐫𝐫𝐚𝐝𝐢𝐚𝐧𝐜𝐞 𝐏𝐫𝐨𝐟𝐢𝐥𝐞

The irradiance is intentionally varied during simulation to test the dynamic behavior of the PV system.

A representative sequence described in the simulation is:

Operating Stage

Irradiance

High irradiance

1000 W/m²

Medium irradiance

500 W/m²

Very low irradiance

Around 10 W/m²

Medium irradiance

500 W/m²

High irradiance

1000 W/m²

The irradiance is changed at approximately 0.3-second intervals.

This variation is useful for evaluating the response of the Incremental Conductance MPPT controller.

𝐏𝐕 𝐏𝐨𝐰𝐞𝐫 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐞

The PV output follows the irradiance variation.

Irradiance

Approximate PV Power

1000 W/m²

Around 2000 W

500 W/m²

Around 1000 W

Around 10 W/m²

Near 0 W

500 W/m²

Around 1000 W

1000 W/m²

Around 2000 W

The simulation therefore demonstrates the expected relationship between available solar energy and extracted PV power.

𝐖𝐢𝐧𝐝 𝐄𝐧𝐞𝐫𝐠𝐲 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐢𝐨𝐧 𝐒𝐲𝐬𝐭𝐞𝐦

The wind section uses a Permanent Magnet Synchronous Generator (PMSG).

The energy conversion path is:

Wind Turbine → PMSG → Rectifier → Boost Converter → Common DC Bus

The PMSG produces electrical AC output.

A rectifier converts this AC output into DC before it is supplied to the boost converter.

𝐖𝐢𝐧𝐝 𝐌𝐏𝐏𝐓 𝐂𝐨𝐧𝐭𝐫𝐨𝐥

The wind energy conversion system uses a conventional Perturb and Observe (P&O) MPPT algorithm.

The MPPT controller receives:

  • Rectifier output voltage

  • Rectifier output current

Based on these measurements, the controller determines the appropriate converter duty cycle.

The boost converter then adjusts the wind-side operating point to extract maximum available power.

𝐖𝐢𝐧𝐝 𝐒𝐩𝐞𝐞𝐝 𝐕𝐚𝐫𝐢𝐚𝐭𝐢𝐨𝐧

The model also includes a changing wind-speed profile.

Simulation Period

Wind Speed

0–2 s

12 m/s

After 2 s

Approximately 10.1–10.7 m/s

This change allows the performance of the wind MPPT controller and hybrid energy-management behavior to be observed under varying wind conditions.


𝐖𝐢𝐧𝐝 𝐏𝐨𝐰𝐞𝐫 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐞


At the higher wind-speed condition, the wind generator produces significantly more power.

Wind Condition

Approximate Output Power

Around 12 m/s

Around 2.6 kW

Reduced wind speed

Around 1.5 kW

The reduction in wind speed therefore produces a corresponding reduction in wind-generator output power.

The P&O MPPT controller continuously adjusts the converter operating condition to extract the available wind power.


𝐁𝐚𝐭𝐭𝐞𝐫𝐲 𝐄𝐧𝐞𝐫𝐠𝐲 𝐒𝐭𝐨𝐫𝐚𝐠𝐞 𝐒𝐲𝐬𝐭𝐞𝐦


The battery is connected to the DC bus through a bidirectional DC-DC converter.

This converter allows energy transfer in both directions.

During excess renewable generation

  • PV and wind supply the available power.

  • Excess power can charge the battery.

  • Battery charging current changes according to renewable power availability.

During reduced renewable generation

  • Battery power can support the DC bus.

  • The converter contributes to DC-link voltage regulation.

  • Grid power exchange can also change according to the control strategy.

𝐁𝐚𝐭𝐭𝐞𝐫𝐲 𝐂𝐡𝐚𝐫𝐠𝐢𝐧𝐠 𝐁𝐞𝐡𝐚𝐯𝐢𝐨𝐫

The battery charging current changes considerably with the available PV and wind power.

Operating Condition

Approximate Battery Current

High PV and wind generation

Around −13 A

Reduced renewable generation

Around −7 A

The negative current represents the charging condition according to the sign convention used in the model.

This result demonstrates that battery charging is automatically influenced by the amount of renewable power available on the DC bus.


𝐃𝐂 𝐁𝐮𝐬 𝐕𝐨𝐥𝐭𝐚𝐠𝐞 𝐂𝐨𝐧𝐭𝐫𝐨𝐥


One of the most important requirements of the hybrid system is maintaining a stable DC-link voltage.

The required DC-bus voltage is:

400 V

The controller performs the following sequence:

  • Measures the actual DC-bus voltage

  • Compares it with the 400 V reference

  • Processes the voltage error through a PI controller

  • Generates the converter control command

  • Sends PWM pulses to the bidirectional DC-DC converter

  • Adjusts battery-side power transfer

As a result, the DC-link voltage remains close to 400 V even when PV irradiance and wind speed change.


𝐖𝐢𝐧𝐝-𝐒𝐢𝐝𝐞 𝐕𝐨𝐥𝐭𝐚𝐠𝐞 𝐁𝐞𝐡𝐚𝐯𝐢𝐨𝐫


The wind rectifier and boost converter measurements demonstrate the conversion process.

Measurement

Approximate Value

Rectifier-side voltage

Around 200 V

Boost-converter output

Around 400 V

Common DC bus

Around 400 V

The boost converter therefore raises the wind-generator rectified voltage to the common DC-link level.

𝐆𝐫𝐢𝐝-𝐂𝐨𝐧𝐧𝐞𝐜𝐭𝐞𝐝 𝐈𝐧𝐯𝐞𝐫𝐭𝐞𝐫

The common DC bus is connected to the utility grid through a controlled inverter.

The inverter is responsible for:

  • DC-to-AC power conversion

  • Grid-current regulation

  • Renewable power injection

  • Bidirectional grid power exchange

  • Maintaining controlled current waveform

  • Coordinating the hybrid source with the grid

An LCL filter is placed between the inverter and grid to improve the quality of the grid-connected current.


𝐈𝐧𝐯𝐞𝐫𝐭𝐞𝐫 𝐂𝐨𝐧𝐭𝐫𝐨𝐥 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐲


The inverter uses a dq-reference-frame control method.

The reference-current generation considers parameters including:

  • PV current

  • Battery state of charge

  • Required grid power direction

These conditions determine whether the system should:

  • Supply renewable power to the grid

  • Draw required power from the grid

  • Charge the battery

  • Adjust inverter current according to available renewable energy


𝐝𝐪-𝐅𝐫𝐚𝐦𝐞 𝐂𝐮𝐫𝐫𝐞𝐧𝐭 𝐂𝐨𝐧𝐭𝐫𝐨𝐥


The inverter current is measured and transformed into the dq reference frame.

The basic control sequence is:

  1. Measure actual inverter current.

  2. Transform the measured current into dq components.

  3. Generate dq reference currents.

  4. Compare actual and reference currents.

  5. Process the current error using conventional PI controllers.

  6. Generate dq control commands.

  7. Convert the control commands back to the required AC reference.

  8. Generate PWM gating signals.

  9. Control the grid-connected inverter.

This approach provides controlled interaction between the hybrid renewable energy system and the utility grid.


𝐆𝐫𝐢𝐝 𝐂𝐮𝐫𝐫𝐞𝐧𝐭 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐞


The simulation results show a sinusoidal grid-side current waveform.

The grid-current magnitude changes according to:

  • Solar PV generation

  • Wind generation

  • Battery SOC

  • Battery charging condition

  • Reference current command

  • Available renewable power

This demonstrates coordinated control between the renewable sources, battery storage, and grid interface.


𝐌𝐞𝐚𝐬𝐮𝐫𝐞𝐝 𝐒𝐢𝐦𝐮𝐥𝐚𝐭𝐢𝐨𝐧 𝐒𝐢𝐠𝐧𝐚𝐥𝐬


A wide range of variables is monitored during simulation.

Solar PV measurements

  • PV voltage

  • PV current

  • PV power

Wind-system measurements

  • Generator voltage

  • Generator current

  • Rectifier voltage

  • Rectifier current

  • Rectifier power

  • Boost-converter voltage

  • Boost-converter current

  • Boost-converter power

Battery measurements

  • Battery voltage

  • Battery current

  • Battery SOC

DC-side measurements

  • DC-bus voltage

  • DC load current

  • DC load power

  • DC-bus current

Grid-side measurements

  • Inverter voltage

  • Inverter current

  • Grid current

These measurements make it possible to evaluate the complete power flow of the hybrid renewable energy system.


𝐒𝐢𝐦𝐮𝐥𝐚𝐭𝐢𝐨𝐧 𝐑𝐞𝐬𝐮𝐥𝐭𝐬


The main observations obtained from the MATLAB/Simulink simulation are summarized below.

Test Condition

Observed Response

High solar irradiance

PV produces around 2 kW

500 W/m² irradiance

PV output reduces to around 1 kW

Very low irradiance

PV power approaches 0 W

Irradiance restored to 1000 W/m²

PV power returns to around 2 kW

Wind speed around 12 m/s

Wind power reaches around 2.6 kW

Reduced wind speed

Wind power reduces to around 1.5 kW

High renewable generation

Battery charging current reaches around −13 A

Lower renewable generation

Battery charging current reduces to around −7 A

Changing renewable inputs

DC bus remains near 400 V

Grid-connected operation

Controlled sinusoidal grid current is obtained


𝐖𝐨𝐫𝐤𝐢𝐧𝐠 𝐏𝐫𝐨𝐜𝐞𝐬𝐬


The overall hybrid energy flow can be understood in the following sequence:

  1. Solar PV generates DC electrical energy.

  2. Incremental Conductance MPPT extracts maximum PV power.

  3. A boost converter connects the PV source to the common DC bus.

  4. Wind turbine drives the PMSG.

  5. PMSG AC output is converted into DC using a rectifier.

  6. P&O MPPT controls the wind-side boost converter.

  7. Wind power is supplied to the same common DC bus.

  8. The battery is connected through a bidirectional converter.

  9. Battery charging varies with available renewable power.

  10. The voltage controller maintains the DC bus near 400 V.

  11. The inverter converts DC power into grid-compatible AC power.

  12. dq-frame current control regulates inverter operation.

  13. The LCL filter improves the grid-side waveform.

  14. The system continuously adapts to changes in wind speed and solar irradiance.

𝐂𝐨𝐧𝐭𝐫𝐨𝐥 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐲

Three major control functions operate simultaneously.

Controller

Controlled Section

Purpose

P&O MPPT

Wind boost converter

Maximum wind-power extraction

Incremental Conductance MPPT

PV boost converter

Maximum solar-power extraction

PI Voltage Controller

Battery bidirectional converter

Maintain 400 V DC bus

dq PI Current Control

Grid-connected inverter

Regulate inverter/grid current

PWM Control

Power switches

Generate converter and inverter switching pulses

Together, these controllers allow the different power sources to operate as one coordinated hybrid energy system.

𝐊𝐞𝐲 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬

  • Integration of solar PV, wind, battery and utility grid

  • Approximately 2 kW solar PV system

  • Approximately 2.8 kW wind-energy system

  • PMSG-based wind-energy conversion

  • Wind-side P&O MPPT

  • PV-side Incremental Conductance MPPT

  • Bidirectional battery power conversion

  • 400 V regulated DC link

  • PI-based DC-voltage controller

  • dq-reference-frame inverter control

  • Current PI controller

  • PWM-based power converter operation

  • LCL grid filter

  • Variable wind-speed simulation

  • Variable solar-irradiance simulation

  • Battery SOC monitoring

  • Battery charging-current analysis

  • PV voltage, current and power monitoring

  • Wind-generator measurements

  • Grid voltage and current monitoring

  • Renewable power variation analysis


𝐖𝐡𝐲 𝐇𝐲𝐛𝐫𝐢𝐝 𝐒𝐨𝐥𝐚𝐫-𝐖𝐢𝐧𝐝-𝐁𝐚𝐭𝐭𝐞𝐫𝐲 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 𝐀𝐫𝐞 𝐔𝐬𝐞𝐟𝐮𝐥


Solar and wind resources naturally vary with environmental conditions.

A hybrid architecture helps combine their advantages:

  • Solar power is available during suitable irradiance conditions.

  • Wind generation depends on available wind speed.

  • Battery storage absorbs excess renewable energy.

  • The battery can support the DC bus when generation changes.

  • Grid integration provides another power-exchange path.

  • Multiple control loops maintain coordinated operation.

The result is a more flexible energy-conversion architecture than using a single renewable source alone.


𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬


This MATLAB/Simulink model is useful for studying:

  • Hybrid renewable energy systems

  • Grid-connected solar PV systems

  • Wind-energy conversion systems

  • PMSG wind generators

  • Battery energy storage systems

  • Renewable energy MPPT techniques

  • Bidirectional DC-DC converters

  • DC microgrids

  • Hybrid AC/DC energy systems

  • Smart-grid power management

  • Grid-connected inverter control

  • dq-frame current controllers

  • Renewable-energy power-flow analysis

  • Battery charging strategies

  • Energy-management research

  • Power-electronics converter control


𝐖𝐡𝐚𝐭 𝐂𝐚𝐧 𝐁𝐞 𝐀𝐧𝐚𝐥𝐲𝐳𝐞𝐝 𝐔𝐬𝐢𝐧𝐠 𝐓𝐡𝐢𝐬 𝐌𝐨𝐝𝐞𝐥?


Students, researchers and engineers can use the simulation concept to understand:

  • How solar irradiance affects PV output

  • How wind speed affects PMSG power

  • How MPPT controllers respond to environmental variations

  • How boost converters interface renewable sources with a DC bus

  • How battery charging changes with renewable generation

  • How a bidirectional converter regulates the DC link

  • How the DC bus can remain near 400 V

  • How reference grid current is generated

  • How dq current control operates

  • How grid current responds to renewable-power variations

  • How multiple energy sources can share a common DC link


𝐂𝐨𝐧𝐜𝐥𝐮𝐬𝐢𝐨𝐧


The Grid Connected Hybrid Solar PV Wind with Battery Energy Storage System demonstrates an integrated renewable-energy architecture in MATLAB/Simulink.

Key simulation observations include:

  • PV generation reaches approximately 2 kW at 1000 W/m².

  • PV power decreases to around 1 kW at 500 W/m².

  • Wind generation reaches approximately 2.6 kW under the higher wind-speed condition.

  • Reduced wind speed lowers wind output to around 1.5 kW.

  • Battery charging current changes from approximately −13 A to −7 A depending on renewable-energy availability.

  • The common DC-link voltage remains close to 400 V despite variations in PV and wind generation.

  • The grid-connected inverter produces a controlled sinusoidal grid current.

  • P&O and Incremental Conductance MPPT controllers enable maximum-power tracking from wind and PV sources respectively.

Overall, the model provides a clear platform for understanding hybrid renewable generation, battery energy storage, MPPT control, DC-link regulation, and grid-connected power conversion.


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