Energy hybridization photovoltaic/diesel generator/pump storage hydroelectric management based on online optimal fuel consumption per kWh

Djelailia, Okba; Kelaiaia, Mounia Samira; Labar, Hocine; Necaibia, Salah; Merad, Faycel

doi:10.1016/j.scs.2018.09.037

Cited by 63 publications

(39 citation statements)

References 52 publications

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“…The CDF of Weibull function is given by (3) whereas its inverse is used to calculate the wind speed as in (4).…”

Section: A Modelling Of Wind Turbinementioning

confidence: 99%

“…Currently, the major part of power generation (∼75%) is producing by fossil fuel-based generators such as gas, and micro-turbines [2]. However, the expected shortage in fossil fuels due to a substantial decrease in their natural backup [3] and the rapid increase of its price in the forthcoming years [4]. In addition, conventional resources produce massive carbon emissions [5].…”

Section: Introductionmentioning

confidence: 99%

“…weibull PDF of wind speed f s (S) beta distribution function of S µ t the mean deviation at the tth time interval AEL T ,DG the total annual economic loss with DG AEL T ,noDG the total annual economic loss without DG CRF the capital recovery factor OF 1 the objective function representing the active total power losses OF 2 the objective function representing total voltage drop OF 3 the objective function representing the overall voltage stability index OF 4 the objective function representing the total annual economic savings OVSI the overall voltage stability index P DG,m the active power output of mth DG P DGi , Q DG,m the active and reactive power injected by ith DG PF DG,m the power factor of mth DG P ij,b the active power flow from ith bus to jth bus P ij,b the active power flow from ith bus to jth bus Ploss the total network active power loss P loss,b…”

mentioning

confidence: 99%

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Optimal Planning of Renewable Energy-Integrated Distribution System Considering Uncertainties

et al. 2019

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Optimal planning of renewable energy-based DG units (RE-DGs) in active distribution systems (ADSs) has many positive technical and economical implications and aim to increase the overall system performance. The optimal allocation and sizing of RE-DGs, particularly photovoltaic (PV) and wind turbine (WT), is still a challenging task due to the stochastic behavior of renewable resources. This paper proposed a novel methodology to solve the problem of RES-DGs planning optimization based on improved Harris Hawks Optimizer (HHO) using Particle Swarm Optimization (PSO). The uncertainties associated with the intermittent behaviour of PV and WT output powers are considered using appropriate probability distribution functions. The optimization problem is formulated as a non-linear constrained optimization problem with multiple objectives, where power loss reduction, voltage improvement, system stability, and yearly economic saving have been taken as the optimization objectives taken into account various operational constraints. The proposed methodology, namely HHO-PSO, has validated on three test systems; standard IEEE 33 bus and 69 bus systems and 94 bus practical distribution system located in Portuguese. The obtained results reveal that the HHO-PSO provide better solutions and maximizes the techno-economic benefits of the distribution systems for all considered cases and scenarios. Furthermore, simulation results are evaluated by comparing to those well-known approaches reported in the recent literature. INDEX TERMS Renewable energy, distributed generation, distribution system planning, uncertainties, Harris hawks optimizer, particle swarm optimization. NOMENCLATURE Acronyms ABC artificial bee colony BB-BC big bang-big crunch method ADS active distribution system BFOA bacterial foraging optimization algorithm BSA backtracking search algorithm BSOA backtracking search optimization algorithm CDF cumulative density functions. CS-GA cuckoo search-generic algorithm DA dragonfly algorithm DG distributed generator FA firefly algorithm The associate editor coordinating the review of this manuscript and approving it for publication was Lin Zhang .

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“…The CDF of Weibull function is given by (3) whereas its inverse is used to calculate the wind speed as in (4).…”

Section: A Modelling Of Wind Turbinementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Optimal Planning of Renewable Energy-Integrated Distribution System Considering Uncertainties

et al. 2019

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“…This would put the market for new fixed fuel cells at $ 16.2 billion in 2025, according to Navigant Research [4]. It is wildly intercorporate with other sources under the management controller, such as [5] which aims to reduce the fuel consumption based on an advanced manager.…”

Section: Introductionmentioning

confidence: 99%

A hybrid power system based on fuel cell, photovoltaic source and supercapacitor

et al. 2020

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In this study, we present an ameliorated power management method for dc microgrid. The importance of exploiting renewable energy has long been a controversial topic, and due to the advantages of DC over the AC type, a typical DC islanded micro-grid has been proposed in this paper. This typical microgrid is composed of two sources: fuel cell (FC), solar cell (PV) and one storage element [supercapacitor (SC)]. Here, we aimed to provide a management strategy that guarantees optimized bus voltage with arranged power-sharing between the sources. This proposed management aims to provide high-quality energy to the load under different loading conditions with variable solar irradiance, taking into account the FC state. Due to the slow dynamics of the FC, the SC was equipped to supply the transient period. A management algorithm is implemented to hold the DC bus voltage stable against the load variations. The management controller is based on differential flatness approach to generate the references. The DC bus is regulated by the SC energy; to reduce the fluctuations in the DC bus voltage, The PI controller is implemented. This proposed strategy reduces the voltage ripple in the DC bus. Moreover, it provides permanent supplying to the load with smooth behaviour over the sudden changes in the demand as depicted in the simulation results. Our study revealed that this proposed manager can be used for this kind of grids easily.

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“…The determination of the sizing of a hybrid system of renewable energies is increasingly notable. Different authors have investigated methods that guarantee the optimization of the system, adding multiobjective functions and studies of demand prediction, [15]. The hybrid system that is most researched is the combination of photovoltaic and wind energy.…”

Section: Introductionmentioning

confidence: 99%

Optimization of an Off-Grid Hybrid System Using Lithium Ion Batteries

Cordero¹,

García²,

Jurado³

2020

ACTA POLYTECH HUNG

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Distributed generation represents an optimal solution for energy problems in remote sites, where access to energy distribution companies is difficult. This article therefore presents the modeling and optimization of an electric power system based on hybrid renewable energy (photovoltaic/hydrokinetic/diesel), combined with a Lithium Ion battery storage system. The analysis is performed using two methods. The first is a computational model based on mathematical equations using the Simulink Design Optimization (SDO) tool in Matlab. The second is a simulation of the hybrid system using the HOMER Software. The results show that the highest annual energy contribution corresponds to the hydrokinetic generation system (78.87%), the photovoltaic generation with a percentage of 19.59% and the penetration of the diesel generator is the lowest with 1.53%. In addition, the Nelder-Mead algorithm (SDO) shows a lower number of diesel generator starts, increasing the capacity of the batteries.

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Energy hybridization photovoltaic/diesel generator/pump storage hydroelectric management based on online optimal fuel consumption per kWh

Cited by 63 publications

References 52 publications

Optimal Planning of Renewable Energy-Integrated Distribution System Considering Uncertainties

Optimal Planning of Renewable Energy-Integrated Distribution System Considering Uncertainties

A hybrid power system based on fuel cell, photovoltaic source and supercapacitor

Optimization of an Off-Grid Hybrid System Using Lithium Ion Batteries

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