Experimental investigation of power management and control of a PV/wind/fuel cell/battery hybrid energy system microgrid

Benlahbib, Boualam; Bouarroudj, Noureddine; Mekhilef, Saad; Dahbi, Abdeldjalil; Talbi, Abdelkrim; Bouchafaa, Farid; lakhdari, Abelkader

doi:10.1016/j.ijhydene.2020.07.251

Cited by 128 publications

(33 citation statements)

References 20 publications

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“…The aerodynamic power coefficient of a wind turbine is a performance indicator, which is influenced by the blade pitch angle (β) and the tip-speed ratio (λ). A generic equation of C p based on the turbine characteristics is given by (2) [20][21][22][23][24][25][26][27][28][29]:…”

Section: Wind Turbine Characteristicsmentioning

confidence: 99%

Modelling, Design and Control of a Standalone Hybrid PV-Wind Micro-Grid System

Al-Quraan

Al-Qaisi

2021

Energies

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The problem of electrical power delivery is a common problem, especially in remote areas where electrical networks are difficult to reach. One of the ways that is used to overcome this problem is the use of networks separated from the electrical system through which it is possible to supply electrical energy to remote areas. These networks are called standalone microgrid systems. In this paper, a standalone micro-grid system consisting of a Photovoltaic (PV) and Wind Energy Conversion System (WECS) based Permanent Magnet Synchronous Generator (PMSG) is being designed and controlled. Fuzzy logic-based Maximum Power Point Tracking (MPPT) is being applied to a boost converter to control and extract the maximum power available for the PV system. The control system is designed to deliver the required energy to a specific load, in all scenarios. The excess energy generated by the PV panel is used to charge the batteries when the energy generated by the PV panel exceeds the energy required by the load. When the electricity generated by the PV panels is insufficient to meet the load’s demands, the extra power is extracted from the charged batteries. In addition, the controller protects the battery banks in all conditions, including normal, overcharging, and overdischarging conditions. The controller should handle each case correctly. Under normal operation conditions (20% < State of Charge (SOC) < 80%), the controller functions as expected, regardless of the battery’s state of charge. When the SOC reaches 80%, a specific command is delivered, which shuts off the PV panel and the wind turbine. The PV panel and wind turbine cannot be connected until the SOC falls below a safe margin value of 75% in this controller. When the SOC goes below 20%, other commands are sent out to turn off the inverter and disconnect the loads. The electricity to the inverter is turned off until the batteries are charged again to a suitable value.

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Section: Wind Turbine Characteristicsmentioning

confidence: 99%

Modelling, Design and Control of a Standalone Hybrid PV-Wind Micro-Grid System

Al-Quraan

Al-Qaisi

2021

Energies

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“…The incorporation of the energy storage devices (ESDs) like the battery, ultracapacitor (UC) can eliminate these disadvantages. The batteries are generally chosen because of their high energy density [6]. The use of the battery energy storage (BES) system is not sufficient when rapid demand variations occur in the system.…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Review on Control Techniques for Power Management of Isolated DC Microgrid System Operation

et al. 2021

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The present research investigations in power management fraternity are focused towards the realization of smart microgrid (MG) technologies. Due to intrinsic advantages of Direct Current (DC) system in terms of compatibility with power generation sources, modern loads and storage devices, DC MG has becoming popular over Alternate Current (AC) system. A secondary voltage and current control schemes of DC MG system are mainly based on the distributed consensus control of Multi-agent system (MAS) to balance generation and the demand. The basic concern of the cooperative control of MAS is consensus, which is to design a suitable control law such that the output of all agents can achieve synchronization. The distributed consensus algorithm requires much less computational power and information exchange in between the neighbor's agent. Meanwhile the other controllers such as model predictive control (MPC) requires accurate dynamic models with high computational cost and it suffers from lack of flexibility. The hierarchical consensus control technique is classified into three levels according to their features, namely primary, secondary, and tertiary. MAS is a popular distributed platform to efficiently manage the secondary control level for synchronization and communication among the power converters in autonomous MGs. In this article, various primary control techniques for local voltage control, voltage restoration in the secondary control level and tertiary control for energy management techniques are discussed. With this, the key emphasis to reduce the voltage deviation and disturbances in a heterogeneous DC MG network solutions are discussed. Furthermore, to analyze the system response and the charging and discharging characteristics of the battery unit, the developed second order heterogeneous consensus controller is compared with the traditional homogeneous consensus control and droop control methods. Finally a detailed discussion on simulation case study using heterogeneous consensus control method over the traditional methods are provided using MATLAB/Simulink platform.

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“…DGs are expected to produce a smooth power, but it is not an effortless transaction due to their intermittent physical inputs [2]. To this end, robust and sophisticated control algorithms-aided stable microgrid applications are essential with help of robust operation of power electronic interfaces and energy management requirements [3]. Because of these unbalanced physical factors, to obtain maximum power as much as the system can, they are not preferred to operate without any converters which have control algorithms.…”

Section: Introductionmentioning

confidence: 99%

Design Implementation and Operation of an Education Laboratory-Scale Microgrid

et al. 2021

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To enable more wide-scale exploitation of renewable energy sources (RESs), distributed generations (DGs) as in microgrids have gained prominence recently. This study describes the design, modeling, implementation, and operation of a microgrid, in which a standalone hybrid power system has been installed for an education and research laboratory. The unstable nature of RESs results in power compatibility issues on DGs. Therefore, providing a decent power flow from renewables to loads is the scope of this paper. To satisfy defined load profiles and sustain the power with the desired level, the design and operation of power converters are a remarkable part of performing microgrids as well. For a robust microgrid structure, the presented control algorithm includes an energy management system (EMS) between renewables, batteries, and loads. Primarily, modeling of the system has been developed in MATLAB/Simulink environment. Additionally, case studies have been exemplified to further demonstrate the simulated system. Within this scope, certain load profiles not only have been fed but also power flow has been managed and analyzed to ensure effective and flexible operation with two different EMS cases. The real-time operation has been also provided to validate the system under various input and output conditions during a lab course.INDEX TERMS Education laboratory, energy management system, distributed generation, microgrid, power electronic converters, renewable energy sources.ALPER NABI AKPOLAT (Graduate Student Member, IEEE) received the B.Sc. degree in electrical and electronics engineering and the M.Sc. degree in mechatronics engineering from Firat University, Elazig, Turkey, in 2012 and 2015, respectively. He is currently pursuing the Ph.D. degree in electrical and electronics engineering with the Faculty of Technology, Marmara University, Istanbul, Turkey.Since March 2019, he has been a Guest Ph.D.

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Experimental investigation of power management and control of a PV/wind/fuel cell/battery hybrid energy system microgrid

Cited by 128 publications

References 20 publications

Modelling, Design and Control of a Standalone Hybrid PV-Wind Micro-Grid System

Modelling, Design and Control of a Standalone Hybrid PV-Wind Micro-Grid System

A Comprehensive Review on Control Techniques for Power Management of Isolated DC Microgrid System Operation

Design Implementation and Operation of an Education Laboratory-Scale Microgrid

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