Renewables Archives - e-MATLAB Projects Tutoring Courses https://ematlab.com/product-category/renewables/ We sell MATLAB based projects Thu, 26 Feb 2026 11:55:06 +0000 en-US hourly 1 https://wordpress.org/?v=6.9.4 https://ematlab.com/wp-content/uploads/2026/02/cropped-logo2-32x32.png Renewables Archives - e-MATLAB Projects Tutoring Courses https://ematlab.com/product-category/renewables/ 32 32 A Particle Swarm Optimization-Based Maximum Power Point Tracking Algorithm for PV Systems https://ematlab.com/product/a-particle-swarm-optimization-based-maximum-power-point-tracking-algorithm-for-pv-systems/ https://ematlab.com/product/a-particle-swarm-optimization-based-maximum-power-point-tracking-algorithm-for-pv-systems/#respond Mon, 23 Feb 2026 17:05:41 +0000 https://ematlab.com/?post_type=product&p=269 https://youtu.be/wCTkbY45UAU

The post A Particle Swarm Optimization-Based Maximum Power Point Tracking Algorithm for PV Systems appeared first on e-MATLAB Projects Tutoring Courses.

]]> A Particle Swarm Optimization-Based Maximum Power Point Tracking Algorithm for PV Systems presents an intelligent optimization approach to enhance the efficiency of photovoltaic (PV) energy conversion systems. The project focuses on implementing a Particle Swarm Optimization (PSO) algorithm in MATLAB to accurately track the Maximum Power Point (MPP) under varying environmental conditions such as changes in solar irradiance and temperature.

Traditional MPPT techniques like Perturb & Observe and Incremental Conductance often suffer from steady-state oscillations and slow convergence under rapidly changing weather conditions. To overcome these limitations, this project employs PSO, a population-based metaheuristic optimization technique inspired by the social behavior of bird flocking, to dynamically search for the global maximum power operating point of the PV array.

The developed model simulates a PV system integrated with a DC-DC converter, where the PSO algorithm continuously updates the duty cycle to ensure optimal power extraction. The algorithm demonstrates fast convergence speed, reduced oscillations around the MPP, and improved tracking accuracy compared to conventional methods.

This project provides a robust framework for researchers, students, and engineers to study intelligent control strategies for renewable energy systems and can be extended to real-time hardware implementation.

Key Features

  • MATLAB/Simulink implementation of PV system model

  • Intelligent MPPT using Particle Swarm Optimization

  • Fast convergence to global maximum power point

  • Reduced steady-state oscillations

  • Performance evaluation under varying irradiance and temperature

  • Comparison capability with conventional MPPT methods

  • Suitable for research and educational purposes

Applications

  • Solar energy optimization

  • Smart grid and renewable energy systems

  • Microgrid control research

  • Power electronics education

  • Real-time PV system control development

Keywords

Particle Swarm Optimization, MPPT, Photovoltaic System, Renewable Energy, MATLAB Simulation, DC-DC Converter, Intelligent Control, Solar Power Optimization

The post A Particle Swarm Optimization-Based Maximum Power Point Tracking Algorithm for PV Systems appeared first on e-MATLAB Projects Tutoring Courses.

]]> https://ematlab.com/product/a-particle-swarm-optimization-based-maximum-power-point-tracking-algorithm-for-pv-systems/feed/ 0 Offset-free Model Predictive Control for Buck Converter Feeding Constant Power Load https://ematlab.com/product/offset-free-model-predictive-control-for-buck-converter-feeding-constant-power-load/ https://ematlab.com/product/offset-free-model-predictive-control-for-buck-converter-feeding-constant-power-load/#respond Sun, 08 Feb 2026 13:33:18 +0000 https://ematlab.com/?post_type=product&p=123 Offset-free Model Predictive Control for Buck Converter Feeding Constant Power Load

The high penetration of power electronic converters into dc microgrids may cause the constant power load stability issues, which could lead to large voltage oscillations or even system collapse. On the other hand, dynamic performance should be satisfied in the control of power electronic converter systems with small overshoot, less oscillations, and smooth transient performance. This article proposes an offset-free model predictive controller for a dc/dc buck converter feeding constant power loads with guaranteed dynamic performance and stability. First, a receding horizon optimization problem is formulated for optimal voltage tracking. To deal with the unknown load variation and system uncertainties, a higher order sliding mode observer is designed and integrated into the optimization problem.

The post Offset-free Model Predictive Control for Buck Converter Feeding Constant Power Load appeared first on e-MATLAB Projects Tutoring Courses.

]]> Offset-free Model Predictive Control for Buck Converter Feeding Constant Power Load

The high penetration of power electronic converters into dc microgrids may cause the constant power load stability issues, which could lead to large voltage oscillations or even system collapse. On the other hand, dynamic performance should be satisfied in the control of power electronic converter systems with small overshoot, less oscillations, and smooth transient performance. This article proposes an offset-free model predictive controller for a dc/dc buck converter feeding constant power loads with guaranteed dynamic performance and stability. First, a receding horizon optimization problem is formulated for optimal voltage tracking. To deal with the unknown load variation and system uncertainties, a higher order sliding mode observer is designed and integrated into the optimization problem. Then an explicit closed-loop solution is obtained by solving the receding horizon optimization problem offline. A rigorous stability analysis is performed to ensure the system large signal stability. The proposed controller achieves optimized transient dynamics and accurate tracking with simple implementation.

The post Offset-free Model Predictive Control for Buck Converter Feeding Constant Power Load appeared first on e-MATLAB Projects Tutoring Courses.

]]> https://ematlab.com/product/offset-free-model-predictive-control-for-buck-converter-feeding-constant-power-load/feed/ 0 A Novel Sliding Mode Estimation for Microgrid Control With Communication Time Delays https://ematlab.com/product/a-novel-sliding-mode-estimation-for-microgrid-control-with-communication-time-delays/ https://ematlab.com/product/a-novel-sliding-mode-estimation-for-microgrid-control-with-communication-time-delays/#respond Sun, 08 Feb 2026 13:33:18 +0000 https://ematlab.com/?post_type=product&p=124 Delay has a great impact on large power grids’ management for microgrid, which terribly reduces the stability and quality of microgrid. Random delay caused by load dependent congestion, constant transmission delay and constant delay in microgrid are considered in this paper. To eliminate the adverse effects of delays, a novel sliding mode estimation based controller is designed to predict time delays and microgrid states, and to reject the disturbance of estimation errors. The mathematical inverter model containing electrical characteristics is regarded as the model of practical microgrid system. Delay estimation with learning parameter and state estimation are derived according to the inverter model. By regarding estimation errors as disturbance of sliding mode control (SMC), the control signal of SMC is adaptively changed in the sliding mode estimation based control loop to ensure the stability of system and accuracy of estimation. Exponential reaching law (ERL) is implemented to improve the chattering issues and reaching performance of SMC. Lyapunov approach is exploited to analyze the stability of sliding motion. Finally, the proposed SMC strategy is validated by simulation experiments of a microgrid with time delays.

The post A Novel Sliding Mode Estimation for Microgrid Control With Communication Time Delays appeared first on e-MATLAB Projects Tutoring Courses.

]]> Delay has a great impact on large power grids’ management for microgrid, which terribly reduces the stability and quality of microgrid. Random delay caused by load dependent congestion, constant transmission delay and constant delay in microgrid are considered in this paper. To eliminate the adverse effects of delays, a novel sliding mode estimation based controller is designed to predict time delays and microgrid states, and to reject the disturbance of estimation errors. The mathematical inverter model containing electrical characteristics is regarded as the model of practical microgrid system. Delay estimation with learning parameter and state estimation are derived according to the inverter model. By regarding estimation errors as disturbance of sliding mode control (SMC), the control signal of SMC is adaptively changed in the sliding mode estimation based control loop to ensure the stability of system and accuracy of estimation. Exponential reaching law (ERL) is implemented to improve the chattering issues and reaching performance of SMC. Lyapunov approach is exploited to analyze the stability of sliding motion. Finally, the proposed SMC strategy is validated by simulation experiments of a microgrid with time delays.

Reference:

Yan, Huaicheng, Xuping Zhou, Hao Zhang, Fuwen Yang, and Zheng-Guang Wu. “A novel sliding mode estimation for microgrid control with communication time delays.” IEEE Transactions on Smart Grid 10, no. 2 (2017): 1509-1520.

The post A Novel Sliding Mode Estimation for Microgrid Control With Communication Time Delays appeared first on e-MATLAB Projects Tutoring Courses.

]]> https://ematlab.com/product/a-novel-sliding-mode-estimation-for-microgrid-control-with-communication-time-delays/feed/ 0 Stabilizing DC Microgrids: UNCS Observer & Controller https://ematlab.com/product/stabilizing-dc-microgrids-uncs-observer-controller/ https://ematlab.com/product/stabilizing-dc-microgrids-uncs-observer-controller/#respond Sun, 08 Feb 2026 13:32:58 +0000 https://ematlab.com/?post_type=product&p=97 Reference Paper:

Lin, Pengfeng, Chuanlin Zhang, Jinyu Wang, Chi Jin, and Peng Wang. "On autonomous large-signal stabilization for islanded multibus DC microgrids: A uniform nonsmooth control scheme." IEEE Transactions on Industrial Electronics 67, no. 6 (2019): 4600-4612.

—Different from single-bus dc microgrids (MGs), a multibus MG normally bridge multiple dc buses via a complex line impedance network. This intricate configuration together with tickling constant power loads may cause severe stability issues. For system stability improvement, conventional ways include designing small-signal stabilizers in a decentralized way and constructing large-signal
stabilizers by solving Lyapunov equation in a central controller. Note that centralized methods may be vulnerable to single point of failures, while decentralized patterns are commended to reinforce MG reliability and scalability. To implement large-signal stabilization in decentralized mechanisms, which has rarely been investigated in the existing literature, a novel uniform nonsmooth control scheme (UNCS) is proposed

The post Stabilizing DC Microgrids: UNCS Observer & Controller appeared first on e-MATLAB Projects Tutoring Courses.

]]> Reference Paper:

Lin, Pengfeng, Chuanlin Zhang, Jinyu Wang, Chi Jin, and Peng Wang. “On autonomous large-signal stabilization for islanded multibus DC microgrids: A uniform nonsmooth control scheme.” IEEE Transactions on Industrial Electronics 67, no. 6 (2019): 4600-4612.

 

The post Stabilizing DC Microgrids: UNCS Observer & Controller appeared first on e-MATLAB Projects Tutoring Courses.

]]> https://ematlab.com/product/stabilizing-dc-microgrids-uncs-observer-controller/feed/ 0 Robust Virtual Inertia Control of a Low Inertia Microgrid https://ematlab.com/product/robust-virtual-inertia-control-of-a-low-inertia-microgrid/ https://ematlab.com/product/robust-virtual-inertia-control-of-a-low-inertia-microgrid/#respond Sun, 08 Feb 2026 13:32:57 +0000 https://ematlab.com/?post_type=product&p=90 In modern microgrids with high renewable penetration, maintaining frequency stability is a critical challenge. Renewable sources lack inherent inertia, making systems more prone to frequency fluctuations. To counter this, Virtual Inertia Control is implemented. However, conventional methods often rely on Phase-Locked Loops, or PLLs, which introduce measurement delays and unwanted oscillations.

Now, let's dive into our MATLAB simulation, where we model a low-inertia microgrid using renewable sources. Our simulation includes three control approaches: conventional Virtual Inertia Control, an optimized PI-based control, and the proposed robust H-infinity control.

We introduce system uncertainties, disturbances, and measurement delays to evaluate the effectiveness of each method

The post Robust Virtual Inertia Control of a Low Inertia Microgrid appeared first on e-MATLAB Projects Tutoring Courses.

]]> Robust Virtual Inertia Control of a Low Inertia Microgrid Considering Measurement Effects
Reference paper:
Kerdphol, Thongchart, Fathin Saifur Rahman, Masayuki Watanabe, and Yasunori Mitani. “Robust virtual inertia control of a low inertia microgrid considering frequency measurement effects.” IEEE access 7 (2019): 57550-57560.

 

The post Robust Virtual Inertia Control of a Low Inertia Microgrid appeared first on e-MATLAB Projects Tutoring Courses.

]]> https://ematlab.com/product/robust-virtual-inertia-control-of-a-low-inertia-microgrid/feed/ 0 Nonlinear Active Disturbance Rejection Controller for Hybrid Microgrid https://ematlab.com/product/nonlinear-active-disturbance-rejection-controller-for-hybrid-microgrid/ https://ematlab.com/product/nonlinear-active-disturbance-rejection-controller-for-hybrid-microgrid/#respond Sun, 08 Feb 2026 13:32:57 +0000 https://ematlab.com/?post_type=product&p=91 Improved Nonlinear Active Disturbance Rejection Controller (INLADRC) for a Hybrid Microgrid with Communication Delay using MATLAB/Simulink simulations. The reference paper is provided for further details.

The INLADRC technique incorporates a nonlinear extended state observer (NESO) to estimate system states and a nonlinear controller to cancel generalized disturbances affecting the system. To mitigate the impact of communication delay in the hybrid microgrid, an auxiliary structure is introduced, ensuring synchronization between observer inputs.

The MATLAB simulation includes a dynamic model of a hybrid microgrid controlled using both the nonlinear controller and conventional PI controllers.

The post Nonlinear Active Disturbance Rejection Controller for Hybrid Microgrid appeared first on e-MATLAB Projects Tutoring Courses.

]]> Improved Nonlinear Active Disturbance Rejection Controller for Hybrid Microgrid with Communication Delay

Reference paper:

Jain, Shivam, and Yogesh V. Hote. “Design of improved nonlinear active disturbance rejection controller for hybrid microgrid with communication delay.” IEEE Transactions on Sustainable Energy 13, no. 2 (2022): 1101-1111.

 

The post Nonlinear Active Disturbance Rejection Controller for Hybrid Microgrid appeared first on e-MATLAB Projects Tutoring Courses.

]]> https://ematlab.com/product/nonlinear-active-disturbance-rejection-controller-for-hybrid-microgrid/feed/ 0 Load Frequency Control Scheme for Power Systems Based on Second-Order Sliding Mode Controller https://ematlab.com/product/load-frequency-control-scheme-for-power-systems-based-on-second-order-sliding-mode-controller/ https://ematlab.com/product/load-frequency-control-scheme-for-power-systems-based-on-second-order-sliding-mode-controller/#respond Sun, 08 Feb 2026 13:32:57 +0000 https://ematlab.com/?post_type=product&p=92 A Robust Load Frequency Control Scheme for Power Systems Based on Second-Order Sliding-Mode and Extended Disturbance Observer

The post Load Frequency Control Scheme for Power Systems Based on Second-Order Sliding Mode Controller appeared first on e-MATLAB Projects Tutoring Courses.

]]> A Robust Load Frequency Control Scheme for Power Systems Based on Second-Order Sliding-Mode and Extended Disturbance Observer

The post Load Frequency Control Scheme for Power Systems Based on Second-Order Sliding Mode Controller appeared first on e-MATLAB Projects Tutoring Courses.

]]> https://ematlab.com/product/load-frequency-control-scheme-for-power-systems-based-on-second-order-sliding-mode-controller/feed/ 0 Adaptive perturb and observe method for solar PV systems https://ematlab.com/product/adaptive-perturb-and-observe-method-for-solar-pv-systems-2/ https://ematlab.com/product/adaptive-perturb-and-observe-method-for-solar-pv-systems-2/#respond Sun, 08 Feb 2026 13:32:57 +0000 https://ematlab.com/?post_type=product&p=94 Adaptive perturb and observe method for solar PV systems

The post Adaptive perturb and observe method for solar PV systems appeared first on e-MATLAB Projects Tutoring Courses.

]]> Adaptive perturb and observe method for solar PV systems

The post Adaptive perturb and observe method for solar PV systems appeared first on e-MATLAB Projects Tutoring Courses.

]]> https://ematlab.com/product/adaptive-perturb-and-observe-method-for-solar-pv-systems-2/feed/ 0 Adaptive Passivity Based Control of Buck Power Converter with Constant Power Load https://ematlab.com/product/adaptive-passivity-based-control-of-buck-power-converter-with-constant-power-load/ https://ematlab.com/product/adaptive-passivity-based-control-of-buck-power-converter-with-constant-power-load/#respond Sun, 08 Feb 2026 13:32:57 +0000 https://ematlab.com/?post_type=product&p=95 Adaptive Passivity Based Control of Buck Power Converter with Constant Power Load

Reference:
Hassan, Mustafa Alrayah, Er-ping Li, Xue Li, Tianhang Li, Chenyang Duan, and Song Chi. "Adaptive passivity-based control of dc–dc buck power converter with constant power load in dc microgrid systems." IEEE Journal of Emerging and Selected Topics in Power Electronics 7, no. 3 (2018): 2029-2040.

The post Adaptive Passivity Based Control of Buck Power Converter with Constant Power Load appeared first on e-MATLAB Projects Tutoring Courses.

]]> Adaptive Passivity Based Control of Buck Power Converter with Constant Power Load

The post Adaptive Passivity Based Control of Buck Power Converter with Constant Power Load appeared first on e-MATLAB Projects Tutoring Courses.

]]> https://ematlab.com/product/adaptive-passivity-based-control-of-buck-power-converter-with-constant-power-load/feed/ 0