Microgrid Hybrid PV, Wind, Battery optimization.

* MPC Microgrid Expert | Hydrogen Integration + AI Forecasting (MATLAB/Simulink) Hybrid Renewable Energy optimization project using GA.

Hybrid Renewable Energy Project.

This is very basic level hybrid renewable energy simulation using genetic algorithm. Size of PV and Battery is optimized using genetic algorithm. This code performs an economic and technical analysis of a hybrid solar-battery system to determine the cost of electricity based on component sizing (number of solar panels and batteries).

Inputs:x(1) = Number of solar panels (Nsol), x(2) = Number of batteries (Nbat) and Uses provided data: Gh (solar irradiance), load1 (demand), T (temperature). Battery Storage Model deployes: Models charging/discharging logic: Charge when solar generation exceeds demand. Discharge when demand exceeds solar generation. Tracks state of charge (SOC) within min/max limits (Ebmin, Ebmax).

Reliability Check (NS Flag):

If at any point solar + battery discharge cannot meet demand, the simulation stops and sets price_electricity to a very high penalty , indicating an infeasible design.

Economic Evaluation:

If the system is feasible (NS=0), calculates:
Component costs (solar, battery, inverter)
Final cost of electricity (price_electricity).

%---------------------------------------------------------------------------------------------------------------------------------------------

%--- NOTICE: This simulation is a basic implementation and is provided free of charge. For comprehensive and customized simulations, please contact [e-mail] to inquire about our paid services.

%----------------------------------------------------------------------------------------------------------------------------------------------