Algeria microgrid operation and control

Can microgrids be developed in remote areas of the Algerian Sahara?

This paper presents a model and simulation for the development of microgrids in remote areas of the Algerian Sahara, including micro power plants, photovoltaic panels, wind farms, diesel energy and storage facilities. The climate of the Algerian Sahara, located on both sides of a tropical region, is hot, sunny and arid.

What are the applications of autonomous microgrids for remote areas?

Applications of autonomous microgrids for remote areas are mainly realised for the electrification of electrically nonintegrated areas, such as, islands, or the Algerian Sahara. A few years ago, some communities in the Sahara were supplied almost exclusively by diesel generators.

What are the objectives of stand-alone Microgrid Applications?

In addition to reducing fuel costs, the main objective of stand-alone microgrid applications is to study and develop a field experience with the planning and operation of stand-alone distribution networks [ 10, 11, 12 ]. This work is the first conception of a microgrid in Algerian Sahara area. It includes diesel generators, wind and solar energy.

What is the energy management strategy for a hybrid microgrid system?

The energy management strategy for the proposed hybrid microgrid system. The proposed energy management system in this work includes four modes of controlling the system’s behavior in response to changes in energy supply and demand. 1.

What are the challenges of a microgrid system?

However, this system faces technical and economic challenges, and some of the most important problems include: The concept of distributed generation has led to the creation of the stand-alone microgrid, which provides small communities with the best possible power supply and allows connection to the main grid through flexible power regulation

How is the microgrid system modelled?

The microgrid system is modelled first in Matlab/Simulink/SimPowerSystems software, and then it will be compiled with the e-MEGAsim simulation of the RT-LAB platform [ 2, 6, 7 ], which improves the simulation of increasingly large systems with real-time performance on multiple CPUs ( Figures 13 and 14 ). Figure 13.