Comparative performance analysis of a hybrid PV/FC/battery stand-alone system using different power management strategies and sizing approaches

Behzadi, Mohammad Sadigh; Niasati, Mohsen

doi:10.1016/j.ijhydene.2014.10.097

Cited by 128 publications

(47 citation statements)

References 21 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%

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%

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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“…However, the INC method requires more calculations than P&O method and thus slows down the sampling speed [6], [12], [14]. Finally, the null value of the slope of the PV array power versus voltage curve seldom occurs [6] …”

Section: Incremental Conductancementioning

confidence: 99%

“…Among them, some of the resources are highly stochastic and site-specific [5]. For example, wind is a site-specific energy source and also the wind velocity and speed could not be predicted because, which is always changing [6]. The problem associated with PV generation system is that the conversion efficiency is low due to low irradiations.…”

Section: Introductionmentioning

confidence: 99%

Performance of solar PV-fuel cell (FC) hybrid system for stand-alone applications

Dharunprasath¹,

Kaliappan²,

Emayavaramban³

2018

IJET

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This paper presents the performance of a hybrid solar PV/ Fuel Cell/ FC system with a PMDC motor load. The hybrid system supplies power to the DC motor during day and night. In order to obtain continuous supply to the load, a control strategy is implemented in the system. By using this control strategy, the solar PV and the fuel cell supply the voltage to the load by getting constant supply from the DC link during day and night. The DC-DC interleaved soft switching boost converter (ISSBC) with Incremental conductance maximum power point tracking technique (INC MPPT) is used to maintain constant DC link voltage. When the power deficit happens in the solar PV, the hydrogen stored in the tank is used by the fuel cell stack and supplies power to the load. The entire system is modeled and the performance of the hybrid system is analyzed in MATLAB/Simulink environment.

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“…Optimal size of a battery/wind turbine/PV hybrid system has been found utilizing Big Bang-Big Crunch algorithm in [8]. Optimal size of a fuel cell/battery/PV hybrid system has been found with different approaches and considering several power management strategies in [9]. Economic operation of a hydrogen/battery/PV hybrid system has been evaluated and compared with diesel-PV generator and battery-PV in [10].…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal stochastic short-term thermal and electrical operation of fuel cell/photovoltaic/battery/grid hybrid energy system in the presence of demand response program

Majidi

Zare

2017

Energy Conversion and Management

101

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Comparative performance analysis of a hybrid PV/FC/battery stand-alone system using different power management strategies and sizing approaches

Cited by 128 publications

References 21 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

Performance of solar PV-fuel cell (FC) hybrid system for stand-alone applications

Optimal stochastic short-term thermal and electrical operation of fuel cell/photovoltaic/battery/grid hybrid energy system in the presence of demand response program

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