Energy Based MATLAB Projects (20+ Ideas with Code & Simulink)

Comprehensive modeling and simulation of PV arrays under nonuniform solar irradiance and temperature distributions. Analyzes bypass diode conduction, multi-peak P-V characteristics, and executes Global Maximum Power Point Tracking (GMPPT) using Particle Swarm Optimization (PSO) to bypass local traps.

A comparative benchmark of Perturb and Observe (P&O) versus Incremental Conductance (INC) MPPT techniques for a 250W solar module connected to a DC-DC boost converter under rapid dynamic solar irradiance changes.

% Solar PV Panel I-V and P-V Characteristic Simulation
% Parameters for Standard 250W Module
Isc = 8.85;   % Short-circuit current (A)
Voc = 37.5;   % Open-circuit voltage (V)
Ns  = 60;     % Number of series cells
Vt  = 0.0259; % Thermal voltage (V)
q   = 1.6e-19; k = 1.38e-23; T = 298;

V = 0:0.1:Voc;
G_levels = [1000, 800, 600]; % Irradiance (W/m^2)

figure('Color', 'w');
for G = G_levels
    I = (G/1000) * Isc * (1 - exp((V - Voc)/(Ns * Vt * 1.3)));
    P = V .* I;
    [Pmax, idx] = max(P);
    
    subplot(1,2,1); plot(V, I, 'LineWidth', 2); hold on;
    subplot(1,2,2); plot(V, P, 'LineWidth', 2); hold on;
    plot(V(idx), Pmax, 'ro', 'MarkerFaceColor', 'r');
end
subplot(1,2,1); grid on; title('I-V Characteristics'); xlabel('Voltage (V)'); ylabel('Current (A)');
legend('1000 W/m^2','MPP','800 W/m^2','600 W/m^2');
subplot(1,2,2); grid on; title('P-V Characteristics'); xlabel('Voltage (V)'); ylabel('Power (W)');
legend('1000 W/m^2','MPP','800 W/m^2','600 W/m^2');

Comparative design and closed-loop control of non-isolated Boost, Interleaved Boost, and SEPIC DC-DC converter topologies featuring Zero-Voltage Switching (ZVS) and synchronous rectification to minimize conduction losses in renewable generation interfaces.

Electromechanical modeling of bimorph piezoelectric cantilever beams subjected to mechanical ambient vibrations. Incorporates nonlinear Synchronized Switch Harvesting on Inductor (SSHI) AC-DC rectifiers and buck-boost power conditioning circuits to recharge lithium coin cells.

Simulation of non-elastic and elastic water column dynamics, non-linear Francis/Pelton hydraulic turbine characteristics, electro-hydraulic servomotors, and synchronous generators for grid frequency stability under severe load rejection.

6-DOF hydrodynamic and aerodynamic modeling of a deep-water floating offshore platform mounting multiple wind turbines. Turbines generate differential thrust to provide dynamic heading positioning and station-keeping, replacing underwater thrusters.

Implements an Extended Kalman Filter (EKF) applied to a 2nd-order RC Thevenin equivalent circuit model for Lithium-ion batteries. Accurately estimates State-of-Charge (SoC) and State-of-Health (SoH) under dynamic driving/load cycles (UDDS, DST) with severe sensor noise.

% 2nd-Order RC Battery SoC Estimation via Extended Kalman Filter
Q_nom = 3.2 * 3600; % Nominal capacity in Coulombs (3.2 Ah)
R0 = 0.045; R1 = 0.025; C1 = 1200; % Equivalent Circuit Parameters
dt = 1; N = 1000;

% Simulated Dynamic Current Pulse Profile
t = (0:N-1)*dt;
I = 2.5 * sin(2*pi*0.005*t) + randn(1, N)*0.1;

% State Vector: x = [SoC; V_c1]
x_est = [0.65; 0]; % True initial SoC = 0.80 (intentional initial offset)
P = eye(2) * 0.1; Q_cov = diag([1e-6, 1e-4]); R_cov = 0.01;
soc_history = zeros(1, N);

for k = 1:N
    % 1. State Prediction
    A = [1, 0; 0, exp(-dt/(R1*C1))];
    B = [-dt/Q_nom; R1*(1 - exp(-dt/(R1*C1)))];
    x_pred = A * x_est + B * I(k);
    P_pred = A * P * A' + Q_cov;
    
    % 2. OCV Linearization: Voc = 3.2 + 0.8*SoC
    H = [0.8, -1];
    V_pred = (3.2 + 0.8*x_pred(1)) - x_pred(2) - I(k)*R0;
    
    % 3. Measurement Update
    V_meas = (3.2 + 0.8*0.80) - I(k)*R0 + randn*0.02; % Simulated Sensor
    K = P_pred * H' / (H * P_pred * H' + R_cov);
    x_est = x_pred + K * (V_meas - V_pred);
    P = (eye(2) - K * H) * P_pred;
    soc_history(k) = x_est(1);
end

Mixed-Integer Linear Programming (MILP) scheduling for residential prosumers with rooftop solar PV, residential battery storage, and shiftable home appliances under dynamic Time-of-Use (ToU) and real-time electricity pricing.

Thermodynamic modeling and transient simulation of a solar absorption cooling facility utilizing evacuated tube collectors and LiBr-H2O absorption chillers scaled for 1 TR to 10 TR thermal cooling capacities.

Design of an intelligent Mamdani Fuzzy Inference System (FIS) for Automatic Generation Control (AGC) and tie-line load balancing across a 2-area interconnected smart power grid containing renewable penetration.

Multidisciplinary dynamic simulation of a pressurized Solid Oxide Fuel Cell (SOFC) coupled with a micro-gas turbine (MGT). Features internal reforming electrochemical reactions, waste heat recuperator, and multi-objective optimization for high electrical efficiency.

Architecture mapping of high-order digital FIR decimation filters on FPGAs to optimize energy consumption and silicon area in edge smart power meters, balancing clock rate against DSP slice count.

Vector control (stator-flux oriented) of Rotor-Side Converter (RSC) and Grid-Side Converter (GSC) for a 2 MW DFIG wind turbine. Implements Low-Voltage Ride-Through (LVRT) with active crowbar protection under symmetrical/asymmetrical grid faults.

Supervisory hierarchical energy management using Stateflow finite state machines and droop control to coordinate power distribution between PV arrays, PMSG wind generators, battery banks, and critical islanded loads.

% Optimal 24-Hour Microgrid Power Dispatch using Quadratic Programming
hours = 24;
P_load = [32, 28, 26, 25, 27, 35, 48, 65, 78, 85, 92, 95, ...
          90, 88, 82, 75, 70, 78, 92, 88, 72, 58, 45, 38]; % kW Load Profile
P_pv   = [0, 0, 0, 0, 0, 5, 20, 45, 65, 80, 88, 90, ...
          85, 75, 55, 35, 15, 2, 0, 0, 0, 0, 0, 0];       % kW Solar Generation
P_wind = 25 + 10*randn(1, hours);                          % kW Wind Generation

% Net Power Deficit / Surplus
P_net = P_load - (P_pv + P_wind);

% Battery State Transition & Limits: -40 kW (Charge) to +40 kW (Discharge)
H = eye(hours); f = zeros(hours, 1);
A_ineq = [eye(hours); -eye(hours)];
b_ineq = [40*ones(hours,1); 40*ones(hours,1)];

P_batt_optimal = quadprog(H, P_net', A_ineq, b_ineq);

figure('Color','w');
plot(1:24, P_load, 'k--', 'LineWidth', 2); hold on;
plot(1:24, P_pv + P_wind, 'g-', 'LineWidth', 2);
plot(1:24, P_batt_optimal, 'b-.', 'LineWidth', 2);
grid on; xlabel('Hour of Day'); ylabel('Power (kW)');
legend('Load Demand','Renewable Gen','BESS Dispatch');
title('Microgrid Power Balance and Dispatch Schedule');

Bidirectional Dual Active Bridge (DAB) and three-phase active front-end (AFE) converter architecture for DC Fast Charging stations capable of Grid-to-Vehicle (G2V) charging and Vehicle-to-Grid (V2G) ancillary frequency support.

Design of a 4-phase interleaved DC-DC boost converter with coupled inductors for Proton Exchange Membrane Fuel Cell (PEMFC) power trains. Eliminates input current ripple to prevent fuel cell membrane degradation.

Custom series-connected DVR utilizing an energy storage-backed voltage source inverter (VSI) and Synchronous Reference Frame (SRF d-q) theory to mitigate deep voltage sags, swells, and harmonics at wind farm Point of Common Coupling (PCC).

Cummins equation-based time-domain modeling of a point absorber wave energy buoy. Designs reactive and latching control for the linear Power Take-Off (PTO) generator to achieve hydrodynamic resonance with sea waves.

Thermo-electrical simulation of Seebeck effect bismuth-telluride modules recovering automotive exhaust and industrial flue gas heat. Employs Fractional Open-Circuit Voltage (FOCV) MPPT for low-power energy harvesting.

Modulation and filter design for a 5-Level Cascaded H-Bridge (CHB) multilevel inverter utilizing Phase-Disposition Sinusoidal Pulse-Width Modulation (PD-SPWM) and Selective Harmonic Elimination (SHE) to inject clean solar power into the medium-voltage grid.