MATLAB - Grid Connected 100 kW Solar PV system | LMS Solution

A 100-kW PV array is connected to a 0.4 kV grid via a DC-DC boost converter and a three-phase three-level Voltage Source Converter (VSC). Maximum Power Point Tracking (MPPT) is implemented in the boost converter by means of a Simulink® model using the 'PO + Proportional Integral Regulator' technique. The detailed model contains the following components: PV array delivering a maximum of 100 kW at 1000 W/m^2 sun irradiance. 5-kHz DC-DC boost converter increasing voltage from PV natural voltage (290 V DC at maximum power) to 700 V DC. The switching duty cycle is optimized by an MPPT controller that uses the 'Incremental Conductance + Integral Regulator' technique. This MPPT system automatically varies the duty cycle in order to generate the required voltage to extract maximum power. 1980-Hz 3-level 3-phase VSC. The VSC converts the 700 V DC link voltage to 230 V AC and keeps the unity power factor. The VSC control system uses two control loops: an external control loop that regulates DC link voltage to +/- 250 V and an internal control loop that regulates Id and Iq grid currents (active and reactive current components). Id current reference is the output of the DC voltage external controller. Iq current reference is set to zero in order to maintain the unity power factor. Vd and Vq voltage outputs of the current controller are converted to three modulating signals Uabc_ref used by the PWM Generator. The control system uses a sample time of 100 microseconds for voltage and current controllers as well as for the PLL synchronization unit. Pulse generators of Boost and VSC converters use a fast sample time of 1 microsecond in order to get an appropriate resolution of PWM waveforms.

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Many municipal governments are far more #progressive than their provincial and federal counterparts. The recommendations they formulated would certainly increase the health and security of cities. #infrastructure #energyefficiency #community #cdnpoli #election2025
PV System With Battery Storage Using Bidirectional DC-DC Converter | LMS Solution

PV (Photovoltaic) systems are one of the most renowned renewable, green and clean sources of energy where power is generated from sunlight converting into electricity by the use of PV solar cells. Unlike fossil fuels, solar energy has great environmental advantages as they have no harmful emissions during power generation. In this work, a PV system with battery storage using a bidirectional DC-DC converter has been designed and simulated on MATLAB Simulink. The simulation outcomes verify the PV system‘s performance under standard testing conditions.

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Hybrid PO-PSO MPPT for solar PV system | LMS Solution

Conventional maximum power point tracking (MPPT) methods such as the perturb-and-observe (P&O) method can only track the first local maximum point and stop progressing to the next maximum point. MPPT methods based on particle swarm optimization (PSO) have been proposed to track the global maximum point (GMP). However, the problem with the PSO method is that the time required for convergence may be long if the range of the search space is large. This work proposes a hybrid method, which combines P&O and PSO methods. Both the P&O method and PSO method work parallelly to find the GMP. The advantage of using the proposed hybrid method is that the search space for the PSO is reduced, and hence, the time that is required for convergence can be greatly improved. The excellent performance of the proposed hybrid method is verified by comparing it against the Conventional P&O, and PSO methods using MATLAB Simulation.

LMS Solution

The Ultimate Guide to Smart and Sustainable Facility Management in 2025

The rise of smart building technologies in 2025 is revolutionizing facility management by integrating sustainability with digital innovations. Through AI, IoT, and smart grid systems, facilities reduce costs and enhance performance, while promoting occupant well-being. Effective management strategies emphasize energy, water conservation, and waste reduction, ensuring a healthier, more efficient environment.

https://dinabina.org/2025/04/13/the-ultimate-guide-to-smart-and-sustainable-facility-management-in-2025/

Smart Grids to Digital Twins: The Complete Technology Guide

Discover how AI, IoT, and digital twins are transforming facility management in 2025. Learn essential strategies for sustainable, efficient building operations.

DinaBina Technical Project Management | A Marigold Services Company - Where Care Meets Continuity
Fuzzy MPPT For Wind Energy Conversion System in MATLAB | LMS Solution Inter

A Fuzzy Maximum Power Point Tracking (MPPT) for Wind Energy Conversion System implemented in MATLAB is a computational model designed to optimize the performance of wind energy conversion systems (WECS). The Fuzzy MPPT algorithm utilizes fuzzy logic control to continuously adjust the operating parameters of the WECS, maximizing power generation efficiency under varying wind conditions. By utilizing MATLAB, engineers and researchers can simulate the behavior of the WECS, considering factors such as wind speed, turbine characteristics, and grid conditions. The fuzzy logic controller evaluates these inputs to dynamically regulate the rotor speed or pitch angle of the wind turbine, ensuring optimal energy capture while maintaining system stability. This approach enables the development of robust and adaptive MPPT strategies tailored to the specific characteristics of the wind energy conversion system, thereby enhancing energy production and grid integration.

LMS Solution Inter
Demand-side management in Grid-Connected Battery System using Neural Network | LMS Solution

Demand-side management in Grid-Connected Battery System using Neural Network A novel energy management system to improve the efficiency of grid-connected energy storage systems using a deep neural network is developed. The high penetration of renewable energy and decentralization of the grid has led to an increase in the instability of the grid. To reduce this instability, a balance between the consumption demand and production rate needs to be maintained. For this objective, electric vehicle batteries can be integrated with demand-side management techniques using a deep neural network. The controller can be programmed with the timing of the peak and the off-peak hours obtained from the demand curve data and state of charge of the battery. The controller will take two inputs: The time of the day and the State of Charge of the battery. The NN controller will detect the arrival of the peak and will send a message to the EV battery to supply a programmed percentage of power to the household appliances. The direct communication between the grid and the battery can be eliminated to reduce the infrastructure requirements and data processing. The grid can operate successfully during normal working hours and can supply the total power consumption by the loads at any time of the day. The peak to average power ratio can be reduced by operating the EV battery during peak hours for providing that programmed percentage to the appliances for better grid operation. This drained battery will be further fully charging during low loading of the grid and keep ready for the following days’ operation. According to the results of simulation studies, it is demonstrated that our proposed model not only enhances users’ utility but also reduces energy consumption costs.

LMS Solution
Just got my most recent electricity bill (haven't yet got out of credit so it's more informational). Thanks to new fridge my average electricity usage over the period has gone down from ~292kWh to 213 kWh. My daily usage is now less than 4kWh/day
#EnergyEfficiency
Will global climate action be a casualty of Trump’s tariffs?

Clean energy investors likely to pull back from US, but other countries may seize opportunity to speed transition

The Guardian
Solar Panels Save Energy and Money in Mexican Homes

A big step towards self-sufficiency is installing solar panels. They have a positive impact on a home's energy economy. Here's how solar panels can save

Blaze Trends