• Constraint optimization
• Energy districts
• Energy districts optimization
• HRES
• Hybrid system
• Matlab
• Renewable energy
• Stand-alone

Public awareness of the need to reduce global warming and the significant increase in the prices of conventional energy sources have encouraged many countries to provide new energy policies that promote the renewable energy applications. Such renewable energy sources like wind, solar, hydro based energies, etc. are environment friendly and have potential to be more widely used. Combining these renewable energy sources with back-up units to form a hybrid system can provide a more economic, environment friendly and reliable supply of electricity in all load demand conditions compared to single-use of such systems.
A review about many studies about the optimization and sizing of hybrid renewable energy systems is presented.
In this work is implemented an optimization software (working on Matlab) that generate a plan, for the subsequent day, of the setpoints of each device in the district to meet all load requirements with possible minimum operating costs.
The software is based on a Sequential Linear Programming (SLP) algorithm, equipped with trust region, that is able to solve a general nonlinear program.
Improvements respect to a previous version of the software have been implemented.
Results shows the achievements reached and indicates which method of the two tested in the SLP is the most reliable and strong.
The next steps to be followed to enhance moreover the software behaviour are finally traced.