Energy management of a hybrid system based on wind–solar power sources and bioethanol

Feroldi, Diego; Degliuomini, L. Nieto; Basualdo, Marta

doi:10.1016/j.cherd.2013.03.007

Cited by 59 publications

(43 citation statements)

References 37 publications

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“…Several models can be found in the literature to estimate the PV generator power [12,5,15]. This PV generator power is determined from model as defined in [21,26]:…”

Section: Pv Generator Modelmentioning

confidence: 99%

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Smart power management of a hybrid photovoltaic/wind stand-alone system coupling battery storage and hydraulic network

Zaibi

Champenois

Roboam

et al. 2018

Mathematics and Computers in Simulation

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OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible. This is an author-deposited version published in : http://oatao.univ-toulouse.fr/ Eprints ID : 17999 AbstractAn off-grid energy system based on renewable photovoltaics (PV) and wind turbines (WT) generators is coupled via converters to electric and hydraulic networks. The electric network is composed of consumers and of a battery bank for electrical storage, while the hydraulic part is made of motor-pumps and hydraulic tanks for water production and desalination. Both battery and water tanks are used to optimize the power management of both electric and hydraulic subsystems by ensuring electric load demand and by reducing at the same time water deficit following the operation of the renewable intermittent source. Thus, both electric and hydraulic subsystems are strongly coupled in terms of energy making necessary to manage the power flows provided by renewable sources to optimize the overall system performance. In this paper, two kinds of management strategies are then compared in the way they share the hybrid power sources between the storage devices (battery and tanks) and the electrical/hydraulic loads. The first approach deals with an "uncoupled power management" in which the operation of electrical and hydraulic loads does not depend on the state of the intermittent renewable sources: in particular, hydraulic pumps are operated only taking account of water demand and tank filling but without considering power sources. On the contrary, given the available power produced by the sources, the second class of strategy (i.e. the "coupled management strategy") consists of a "smart" power sharing between the electrical and hydraulic networks with regard to the battery SOC and the tank L 1 and L 2 . A dynamic simulator of the hybrid energy system has been developed and tested using a MATLAB environment. The system performance is shown under the two investigated approaches (uncoupled vs coupled). Several tests are carried out using real meteorological data of a remote area and a practical load demand profile. The simulation results show that the "coupled strategy" clearly outperforms the classical "uncoupled" management strategies.

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“…Several models can be found in the literature to estimate the PV generator power [12,5,15]. This PV generator power is determined from model as defined in [21,26]:…”

Section: Pv Generator Modelmentioning

confidence: 99%

“…To estimate the output power of wind turbine, the latter power is limited by a coefficient of power C p depending on the ratio λ (λ = R · ω/V wind , where R is the radius of the blades, ω is the speed angle of the turbine) and β is the blade pitch angle [15].…”

Section: Wind Turbine Modelmentioning

confidence: 99%

Smart power management of a hybrid photovoltaic/wind stand-alone system coupling battery storage and hydraulic network

Zaibi

Champenois

Roboam

et al. 2018

Mathematics and Computers in Simulation

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“…The authors applied the proposed EMS to an isolated power system based on a PV array and wind generators that use water electrolysis to produce hydrogen for future use in a PEMFC. In [20], a rule-based EMS implemented through a state machine approach was proposed for a wind/PV/BRS/Fuel Cell system. This strategy is compared in [21] with another that uses the concept of a receding horizon with predictions of the future generation from the renewable sources, the future load and the state of charge in the battery bank.…”

Section: Introductionmentioning

confidence: 99%

Energy Management Strategy for a Bioethanol Isolated Hybrid System: Simulations and Experiments

et al. 2018

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Renewable energy sources have significant advantages both from the environmental and the economic point of view. Additionally, renewable energy sources can contribute significantly to the development of isolated areas that currently have no connection to the electricity supply network. In order to make efficient use of these energy sources, it is necessary to develop appropriate energy management strategies. This work presents an energy management strategy for an isolated hybrid renewable energy system with hydrogen production from bioethanol reforming. The system is based on wind-solar energy, batteries and a bioethanol reformer, which produces hydrogen to feed a fuel cell system. Bioethanol can contribute to the development of isolated areas with surplus agricultural production, which can be used to produce bioethanol. The energy management strategy takes the form of a state machine and tries to maximize autonomy time while minimizing recharging time. The proposed rule-based strategy has been validated both by simulation and experimentally in a scale laboratory station. Both tests have shown the viability of the proposed strategy complying with the specifications imposed and a good agreement between experimental and simulation results.

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“…Feroldi et al presented an energy management strategy for hybrid systems on the basis of wind-solar energy and bioethanol. They used a genetic algorithm to design a stand-alone system that enhances the efficiency of hydrogen production [20].…”

Section: Introductionmentioning

confidence: 99%

Optimal coordinate operation control for wind–photovoltaic–battery storage power-generation units

Hua

et al. 2015

Energy Conversion and Management

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Energy management of a hybrid system based on wind–solar power sources and bioethanol

Cited by 59 publications

References 37 publications

Smart power management of a hybrid photovoltaic/wind stand-alone system coupling battery storage and hydraulic network

Smart power management of a hybrid photovoltaic/wind stand-alone system coupling battery storage and hydraulic network

Energy Management Strategy for a Bioethanol Isolated Hybrid System: Simulations and Experiments

Optimal coordinate operation control for wind–photovoltaic–battery storage power-generation units

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