MMMeryem Meliani

Meryem Meliani

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


Meryem Meliani has a total of 9 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Grid-Connected PV System Simulation Study

    by Meryem Meliani, Abdellah El Barkany, Ikram El Abbassi, Rafik Absi

  • A Robust Control Strategy for Microgrid Energy Using Fuzzy Logic

    by Meryem Meliani, Abdellah El Barkany, Ikram El Abbassi, Rafik Absi, Faouaz Jeffali

    This paper highlights the storage charging and discharging issue. The study objective is to manage the energy inputs and outputs of the principal grid at the same time in order to maximize profit while decreasing costs, as well as to ensure the availability of energy according to demand and the decisions to either save or search for energy. A fuzzy logic control model is applied in MATLAB Simulink to deal with the system’s uncertainties in scheduling the storage battery technology and the charging- discharging. The results proved that the fuzzy logic model has the potential to efficiently lower fluctuations and prolong the lifecycle.


  • Open Access

    Energy Management of a Fuzzy Control System in a Microgrid

    by Meryem Meliani, Abdellah El Barkany, Ikram El Abbassi, Rafik Absi, Morad Mahmoudi

    Micro-grids can be considered as the ideal way to integrate renewable energy sources into electricity generation and to give consumers the opportunity to participate in the electricity market as consumers and producers. Our study aims to implement a micro-grid with solar and wind power generation and storage systems. However, the integration of a battery storage system into a micro-grid requires a thorough control of charge and discharge techniques due to the different load conditions. In this study, the proposed system can transfer electricity to and from the main grid. Although, the objective of the simulation is to control at the same time the energy input and output of the principal grid in order to maximize the profit and minimize the cost. To cope with the uncertainties of the system, a fuzzy logic controller for charge-discharge as well as a scheduling of battery energy storage systems is simulated on Matlab, in order to ensure the energy availability on demand and to take a proper decision whether to store or sell energy.


  • Top Cited Papers
    Open Access

    Energy management in the smart grid: State-of-the-art and future trends

    by Meryem Meliani, Abdellah El Barkany, Ikram El Abbassi, Abdel Moumen Darcherif, Morad Mahmoudi

    Integration of distributed generations that fluctuate widely (such as Photovoltaic panels, Wind power, Electric Vehicles and Energy Storage Systems), poses a chance to the stability of power technology and distribution structures. However, the primary reason is that the electricity ratio between supply and demand may not be balanced. An extra or scarcity inside the production or intake of electricity can disrupt the system and cause critical problems which include a drop/rise in voltage and, under difficult conditions, power outages. The use of Energy Management Systems can effectively increase the balance between supply and demand and decrease peak load throughout unplanned durations. The energy management system is capable of not only sharing or exchanging energy between the different energy resources available, but also of economically supplying loads in a reliable, safe and effective manner under all conditions necessary for the operation of the power grid. This work outlines the structure, goals, benefits and defies of the energy control system via an in-intensity analysis of the distinctive stakeholders and participants engaged on this system. A detailed essential analysis of the functioning of distinct programs which includes Demand Response, Demand Management and Energy Quality Management implemented inside the electricity management gadget is presented in this review. It also summarizes quantifications of the various strategies of uncertainty. It includes as well a comparative and an important assessment of the primary optimization techniques which are used to obtain the extraordinary goals of energy management structures while at the same time meeting a wide range of requirements.