iHOGA (improved Hybrid Optimization by Genetic Algorithms) is a software developed in C++ by researchers of the University of Zaragoza (Spain) for the simulation and optimization of Hybrid Stand-alone Systems of Electric Power Generation based on Renewable Energies.
The software can model systems with electrical energy consumption (DC and/or AC) and/or Hydrogen, as well as consumption of water from tank or reservoir previously pumped.
It can include photovoltaic generator, wind turbines, hydroelectric turbine, auxiliary generator (diesel, gasoline …), inverter or inverter-charger, batteries (lead acid or lithium), charger and batteries charge controller as well as components of hydrogen (electrolyzer, hydrogen tank and fuel cell).
iHOGA can simulate and optimize systems of any size. It can also simulate and optimize systems connected to the AC grid, with or without own load consumption, and can be defined different cases of Net Metering.
The software includes multi-objective optimization, simulation in time steps of up to 1 minute, sensitivity analysis, probability analysis, etc. It uses very detailed models of the components, obtaining simulations and estimates of the operation of the system very precise.
iHOGA uses advanced models to accurately estimate the lifetime of the batteries, which are generally the most expensive components and that most replacements need. This implies that the estimation of the total net present cost of the system (NPC) is obtained in a much more realistic way than other software, being able to compare correctly between different combinations of components and control strategies and obtaining the real optimum.
iHOGA software includes advanced optimization models (genetic algorithms), which implies the possibility of obtaining the optimum system using very low computational times.
It works under Windows (XP or higher) and also under Linux with Windows emulator (tested on Ubuntu 14.04 with Windows Emulator “Wine” program loader).
The main researcher (Dr. Rodolfo Dufo López) published more than 40 papers related to software iHOGA in the most relevant scientific journals in the field of Energy (ORCID link: https://orcid.org/0000-0002-1490-6423; SCOPUS link: https://www.scopus.com/authid/detail.uri?authorId=8435781300)