Nazih Moubayed

Bio: Nazih Moubayed is an academic researcher from Lebanese University. The author has contributed to research in topics: Renewable energy & Fault detection and isolation. The author has an hindex of 20, co-authored 109 publications receiving 1589 citations. Previous affiliations of Nazih Moubayed include Saint Joseph's University & Saint Joseph University.

General review and classification of different MPPT Techniques

Abstract: In this paper, the concept of power tracking for PV systems is highlighted and an overview on 40 old and recent Maximum Power Point Tracking (MPPT) methods, available in the literature, is presented and classified. These methods are mathematically modeled and presented in such a way the reader can select the most appropriate method for his own application. A comparative table is presented at the end of the paper to simplify the classification of the different methods.

Design and Implementation of Space Vector Modulation-Based Sliding Mode Control for Grid-Connected 3L-NPC Inverter

Abstract: This paper presents a closed-loop space vector modulation (SVM)-based sliding mode controller (SMC) for a three-level grid-connected neutral point clamped (3L-NPC) inverter. The nonlinear SMC based on Gao's reaching law has been designed to control the grid current and inject desired amount of active and reactive power into the network. Due to using single dc source at the NPC inverter dc bus, neutral point voltage is controlled through redundant switching states and instantaneous dc voltage feedback integrated into SVM technique. Meanwhile, there is no external voltage controller involved, thus no associated fine tuning issues are existed. The performance of the proposed hybrid controller to inject a desired active/reactive power to the grid is investigated through external perturbations such as change in the line current amplitude/phase shift, ac voltage fluctuation, as well as dc voltage variation. Full converter state-space model was developed and simulated. Experimental results are provided to verify the fast dynamic performance, low content of line current THD%, and good voltage balancing of dc bus capacitors of the NPC inverter.

Energy Management in Electrical Smart Grid Environment Using Robust Optimization Algorithm

Abstract: The residential energy management system is an essential factor in the smart grid environment, which allows the implementation of demand response program among the residential consumers to manage their power usage aiming to reduce the electricity expenses. In this paper, an energy management model is proposed by considering both generation and consumption parts. Mathematical models for the grid, renewable energy resources, batteries, and electric vehicles are presented, as well as for different type of thermal and electrical appliances such as air conditioning, water heater, vacuum cleaner, and others. We have implemented an exact solution method to solve the objective constrained problem that aims to minimize the electricity cost in a smart home and find out operation modes of different loads with organizing between the considered production systems. Furthermore, a math-heuristic optimization algorithm based on mixed integer linear programming formulation is proposed to solve the problem with extended simulation time horizon. The considered mathematical model has been solved with different scenarios where results have indicated a significant reduction of the electricity cost and have illustrated the efficiency of the proposed robust optimization algorithm.

Optimization and Energy Management in Smart Home Considering Photovoltaic, Wind, and Battery Storage System With Integration of Electric Vehicles

Abstract: With the emergence of smart grid, which presents the next generation of electrical power systems, residents have the opportunities to manage their home energy usage to reduce energy expenditure. This paper presents a mixed integer linear programming model to optimize the energy production and consumption systems in a smart home with the integration of renewable energy resources, battery storage systems, and gridable vehicles. Numerous case studies are presented by varying significant factors through the design of experiments with the Taguchi method. After that, a heuristic technique is proposed to solve the problem of residential energy management and to minimize the electricity cost of the consumer. Results find the global optimum solution for many consecutive days with important reduction of execution time and by achieving significant energy cost savings of the considered scenarios.

Parameter identification of the lead-acid battery model

Abstract: The lead-acid battery, although known since strong a long time, are today even studied in an intensive way because of their economic interest bound to their use in the automotive and the renewable energies sectors. In this paper, the principle of the lead-acid battery is presented. A simple, fast, and effective equivalent circuit model structure for lead-acid batteries was implemented. The identification of the parameters of the proposed lead-acid battery model is treated. This battery model is validated by simulation using the Matlab/Simulink Software.

Multi-level conversion : high voltage choppers and voltage-source inverters

Abstract: The authors discuss high-voltage power conversion. Conventional series connection and three-level voltage source inverter techniques are reviewed and compared. A novel versatile multilevel commutation cell is introduced: it is shown that this topology is safer and more simple to control, and delivers purer output waveforms. The authors show how this technique can be applied to either choppers or voltage-source inverters and generalized to any number of switches.<>

Optimization in microgrids with hybrid energy systems – A review

Abstract: Fast depleting fossil fuels and the growing awareness for environmental protection have led us to the energy crisis. Hence, efforts are being made by researchers to investigate new ways to extract energy from renewable sources. ‘Microgrids’ with Distributed Generators (DG) are being implemented with renewable energy systems. Optimization methods justify the cost of investment of a microgrid by enabling economic and reliable utilization of the resources. This paper strives to bring to light the concept of Hybrid Renewable Energy Systems (HRES) and state of art application of optimization tools and techniques to microgrids, integrating renewable energies. With an extensive literature survey on HRES, a framework of diverse objectives has been outlined for which optimization approaches were applied to empower the microgrid. A review of modelling and applications of renewable energy generation and storage sources is also presented.

Energy management strategies in hybrid renewable energy systems: A review

Abstract: Variability and intermittency are some of the main features that characterize renewable energy sources. Intermittency usually includes both predictable and unpredictable variations. The many drawbacks of intermittency of renewable sources can be overcome by considering some special design considerations. Integrating more than one renewable energy source and including backup sources and storage systems are among the few measures to overcome these drawbacks. These additional design considerations usually increase the overall cost of the renewable system. Furthermore, the presence of more than one energy supply/storage system requires the control of energy flow among the various sources. Therefore, optimizing the size of the components and adopting an energy management strategy (EMS) are essential to decreasing the cost of the system and limiting its negative effects. The energy management strategy is commonly integrated with optimization to ensure the continuity of load supply and to decrease the cost of energy production. Therefore, energy management is a term that collects all the systematic procedures to control and minimize the quantity and the cost of energy used to provide a certain application with its requirements. The energy management strategy usually depends on the type of energy system and its components. Various approaches and techniques have been used to develop a successful energy management strategy. In this paper, a comprehensive review of the approaches proposed and used by authors of many papers is conducted. These approaches include both the standalone hybrid renewable energy systems and the grid-connected hybrid renewable systems. More attention is focused on popularly used techniques to address the features of each system. The selected papers in this review cover the various configurations of the hybrid renewable energy systems for electric power generation only.

General review and classification of different MPPT Techniques

Abstract: In this paper, the concept of power tracking for PV systems is highlighted and an overview on 40 old and recent Maximum Power Point Tracking (MPPT) methods, available in the literature, is presented and classified. These methods are mathematically modeled and presented in such a way the reader can select the most appropriate method for his own application. A comparative table is presented at the end of the paper to simplify the classification of the different methods.