GenMix is a MATLAB based software tool to successfully assess professionals, promoters or companies in the selection of the best renewable-distributed generation-mix suitable to be installed in residential buildings considering technical, economic and reliability aspects. GenMix is capable to model the hourly electric demand profile of different kind of residential building considering the profile of their occupants. In addition is able to model photovoltaic and wind generators as well as other non renewable power sources like for instance fuel cells or diesel generators. The software is able to model the interaction between tha loads and the generators and the accumulation system battery based to estimate the percentage of demand that can be covered with self-supply, but it can also estimate the amount of energy that must be imported from the grid, the number of hours that the buildings can be fed with their own generation and it automatically drives a reliability and economical analysis of the proposed scenario. All the software features are described in the User Guide. 

GenMix was developed by Edwin Xavier Dominguez Gavilanes and Felix Manuel Lorenzo Bernardo under the supervision of Prof. Pablo Arboleya and is distributed under GPL license.

From left to right: Edwin Xavier Dominguez, 
Pablo Arboleya, Felix Manuel Lorenzo

OPGrid is a flexible power flow toolbox based on Matlab tools able to simulate balanced electrical networks with embedded flexible AC transmission devices (FACTS). 
The solver is used to investigate the steady state of electric network under different cases of demand variation.  The solver is designed to be flexible and able to handle standard data format for exchanging input and output with other software tools. The active power dispatch can be solved based on three mode Conventional , Optimal and Droop Control. The solver setting and case parameters are organised in single structure to be flexible for configuration and easy for exchange.  New data file format is proposed to encapsulate all cases information in single file. The solver is implemented to solve multiple cases of demand variation by single call. This can be used to automate the analysis process and minimise the iteration time. The mathematical model can be selected to be based on admittance matrix or incident matrix methods which can be used to compare the performance of the two models. The IEEE test cases have been used to verify the solver accuracy and performance relative to  alternative  commercial and scientific tools. The solver is released as open source project to support additional functionality and full customisation for scientific research.  

OPGrid was developed by Bassam Mohamed under the supervision of Prof. Pablo Arboleya and is distributed under GPL license.