Hybrid Systems: A Review of Current and Future Feasibility

Kelly, Anna C.; Merritt, Joshua A.

doi:10.1016/j.tej.2014.10.008

Cited by 6 publications

(2 citation statements)

References 20 publications

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“…150 MW (WT), and 35 MV (PV) Pacific (WT) and Catalina Solar, EE.UU. [40] 10 kW (PV), 5 kW (DG), and 50 kWh (BESS) Kythnos Island, Greece [41] 30 MW (GeoT), and 25 MW (PV) Enel Green Hybrid MicroGrid, EE.UU [42] 35 MW (BM), and 22.5 MW (CSP) TermoSolar Borges, Spain. [43,44] 100 MW (WT), 40 MW (PV), 35 MW (BESS) Zhangbei National, China [45] 10 MW (WT + PHESS), and 11 MW (PV) El Hierro Island, Spain [46] 90 kW (WT), 10 kW (WP), and 5 kW (PV) Dangan Island of Guangdong, China [47] PV = Photovoltaic; BESS = Battery Energy Storage System; GeoT = GeoThermal; BM = Biomass; PHESS = Pump Hydro Energy Storage System; BD = Bio Diesel; CSP = Concentrated Solar Thermal Power; WP = Wave Power; WT = Wind Turbine.…”

Section: Rated Capacity Of the Res Project Detailsmentioning

confidence: 99%

A Comprehensive Review on Power-Quality Issues, Optimization Techniques, and Control Strategies of Microgrid Based on Renewable Energy Sources

Hernández-Mayoral,

Madrigal-Martínez,

Mina-Antonio

et al. 2023

Sustainability

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Microgrids (MGs) are systems that cleanly, efficiently, and economically integrate Renewable Energy Sources (RESs) and Energy Storage Systems (ESSs) to the electrical grid. They are capable of reducing transmission losses and improving the use of electricity and heat. However, RESs presents intermittent behavior derived from the stochastic nature of the renewable resources available on site. This can cause power-quality issues throughout the electrical grid, which can be solved by different optimization techniques and/or control strategies applied to power converters. This paper offers a detailed review of the literature regarding three important aspects: (i) Power-quality issues generated in MGs both in islanded mode and grid-connected mode; (ii) Optimization techniques used in the MGs to achieve the optimal operating conditions of the Energy Management System (EMS); and (iii) Control strategies implemented in the MGs to guarantee stability, mitigation of power-quality issues, power balance, and synchronization with the grid. It is worth mentioning that in this paper, we emphasize hybrid MGs (HMGs) since they combine the benefits of AC–MGs and DC–MGs while increasing system reliability. As the utility grid moves toward an optimal design of MG structures, this paper will serve as a foundation for future research, comparative analysis, and further development of novel techniques regarding HMGs.

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Section: Rated Capacity Of the Res Project Detailsmentioning

confidence: 99%

A Comprehensive Review on Power-Quality Issues, Optimization Techniques, and Control Strategies of Microgrid Based on Renewable Energy Sources

Hernández-Mayoral,

Madrigal-Martínez,

Mina-Antonio

et al. 2023

Sustainability

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“…The hybrid renewable power system (HRPS) knows certain complexity in its energy management strategy owing to different nature and dynamics of the energy sources and storage elements .…”

Section: Introductionmentioning

confidence: 99%

Fuzzy energy management of hybrid renewable power system with the aim to extend component lifetime

Ameur

Hadjaissa

Cheikh

et al. 2017

Int. J. Energy Res.

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Summary In this paper, a fuzzy energy management algorithm for a hybrid renewable power system based on lifetime extending is presented. When the system contains two storage elements or more, the selection of the suitable element to be charged or discharged becomes of paramount importance. When the storage elements are of different types, the decision will be difficult. Conventional algorithms that make series of tests to select the storage element choose always the first available element. This way of testing affects badly the most used element and may affect the other storage elements too as they rarely operate under hard load scenarios. In this study, and in order to solve this problem, two fuzzy controllers have been used to manage the energy flow for a hybrid renewable power system. It is composed of: a photovoltaic generator as a main source, a fuel cell and batteries as a storage elements. The controllers operate as master and slave. The master controller gives orders to all the system power converters and to the slave controller as well. The latter is activated only when the storage elements are at the same state of charge. It is charged, instead of the master's, to select the suitable element to be charged or discharged. Its orders are given based on lifetime functions for each element. To examine the proposed algorithm, simulations have been performed under Matlab/Simulink (The MathWorks, Inc., Massachusetts, USA). Comparison and statistics have been carried out to give the percentage of the worked hours for each element in each operating mode. The obtained results show the high performance of the proposed algorithm. Copyright © 2017 John Wiley & Sons, Ltd.

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An Oscillating Water Column (OWC): The Wave Energy Converter

Kushwah¹

2021

J. Inst. Eng. India Ser. C

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Hybrid Systems: A Review of Current and Future Feasibility

Cited by 6 publications

References 20 publications

A Comprehensive Review on Power-Quality Issues, Optimization Techniques, and Control Strategies of Microgrid Based on Renewable Energy Sources

A Comprehensive Review on Power-Quality Issues, Optimization Techniques, and Control Strategies of Microgrid Based on Renewable Energy Sources

Fuzzy energy management of hybrid renewable power system with the aim to extend component lifetime

An Oscillating Water Column (OWC): The Wave Energy Converter

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