A Smart Hybrid Energy System Grid for Energy Efficiency in Remote Areas for the Army

Berardi, Umberto; Tomassoni, Elisa; Khaled, Khaled

doi:10.3390/en13092279

Cited by 28 publications

(15 citation statements)

References 20 publications

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“…Additional articles in the literature are mainly focused on integration between renewable and traditional resources, performance assessment, and converter design of a specific HES [6][7][8][9][10]. The Smart Hybrid Energy System (SHES) is an alternate option proposed by the authors of [6], which attempts to replace the present diesel generator with an integrated diesel-solar power generation system. To ensure the system's optimal efficiency, all components are managed in a specific way to keep a continuous energy flow to the load.…”

Section: Introductionmentioning

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: Introductionmentioning

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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“…This method is not efficient because it does not consider the accumulated power received by the AC grid and the SOC of the ESS. Additionally, it has the disadvantage that the algorithm for operating the EMS is complicated [34][35][36].…”

Section: Introductionmentioning

confidence: 99%

Energy Management Method of Hybrid AC/DC Microgrid Using Artificial Neural Network

et al. 2021

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This paper proposes an artificial neural network (ANN)-based energy management system (EMS) for controlling power in AC–DC hybrid distribution networks. The proposed ANN-based EMS selects an optimal operating mode by collecting data such as the power provided by distributed generation (DG), the load demand, and state of charge (SOC). For training the ANN, profile data on the charging and discharging amount of ESS for various distribution network power situations were prepared, and the ANN was trained with an error rate within 10%. The proposed EMS controls each power converter in the optimal operation mode through the already trained ANN in the grid-connected mode. For the experimental verification of the proposed EMS, a small-scale hybrid AD/DC microgrid was fabricated, and simulations and experiments were performed for each operation mode.

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“…They can be considered as an attractive alternative for both traditional diesel-based off-grid systems and for unreliable grids [2]. Many examples have been proposed and developed in different locations, such as France [3], Nigeria [4], India [5] and Canada [6].…”

Section: Introductionmentioning

confidence: 99%

Stand-Alone Hybrid Power Plant Based on SiC Solar PV and Wind Inverters with Smart Spinning Reserve Management

et al. 2021

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Stand-alone hybrid power plants based on renewable energy sources are becoming a more and more interesting alternative. However, their management is a complex task because there are many variables, requirements and restrictions as well as a wide variety of possible scenarios. Though a proper sizing of the power plant is necessary to obtain a competitive cost of the energy, smart management is key to guarantee the power supply at a minimum cost. In this work, a novel hybrid power plant control strategy is designed, implemented and simulated under a wide variety of scenarios. Thereby, the proposed control algorithm aims to achieve maximum integration of renewable energy, reducing the usage of non-renewable generators as much as possible and guaranteeing the stability of the microgrid. Different scenarios and case studies have been analyzed by dynamic simulation to verify the proper operation of the power plant controller. The main novelties of this work are: (i) the stand-alone hybrid power plant management regarding a battery energy storage system as a part of the spinning reserve, (ii) the characterization of the largest loads as non-priority loads, (iii) the minimization of the needed spinning reserve and fuel consumption from diesel generators.

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A Smart Hybrid Energy System Grid for Energy Efficiency in Remote Areas for the Army

Cited by 28 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

Energy Management Method of Hybrid AC/DC Microgrid Using Artificial Neural Network

Stand-Alone Hybrid Power Plant Based on SiC Solar PV and Wind Inverters with Smart Spinning Reserve Management

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