Electric System Cascade Extended Analysis for optimal sizing of an autonomous hybrid CSP/PV/wind system with Battery Energy Storage System and thermal energy storage

Chennaif, Mohammed; Zahboune, Hassan; Elhafyani, Mohamed Larbi; Zouggar, Smail

doi:10.1016/j.energy.2021.120444

Cited by 50 publications

(9 citation statements)

References 35 publications

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“…Two loops of optimization are implemented with, Economic Model Predictive Control, and Genetic Algorithm Optimization (GAO) to find out the optimum numbers of components [7]. Different loads are implemented on PV/BESS by using GAO to find out the optimal sizing of the system [8]. Nine system structures of PV/WT/BESS/SC are applied with HOMER based on reliability and economic concepts [9].…”

Section: Itroductionmentioning

confidence: 99%

Optimal Sizing of Renewable Autonomous Hybrid system based on Costs using Grey Wolf Optimization

Altayf,

Mayouf,

Shanab

2024

ISTJ

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Ensuring low-cost and highly reliable electricity generation while meeting the demand load poses a significant challenge. Power plants operate continuously to produce power, with the Programmable Logic Controller (PLC) control system playing a crucial role in managing all the equipment. Power deficiencies in the PLC rooms can lead to equipment disturbances and potential damage to the plant. To address this problem and utilize the abundant solar energy in Libya, this study introduces the optimal sizing of an autonomous hybrid storage system using an optimization method. The Net Present Costs (NPC), Loss Power Supply Probability (LPSP), and Levelized Cost of Energy (LCOE) are employed to extract a suitable function database. The proposed system generates 7 kW of power to meet demand and is implemented in MATLAB. The Grey Wolf Optimization (GWO) method is applied to determine the optimal number of PV panels and BESS capacity for the autonomous hybrid system. The optimal solution obtained through GWO is determined to be 40 PV panels and a 60Ah BESS capacity.

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Section: Itroductionmentioning

confidence: 99%

Optimal Sizing of Renewable Autonomous Hybrid system based on Costs using Grey Wolf Optimization

Altayf,

Mayouf,

Shanab

2024

ISTJ

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“…Chennaif et al [110] developed a new technique called The Electric System Cascade Extended Analysis (ESCEA) for evaluating the appropriate size of a standalone hybrid power production system that incorporates PV, wind, and CSP combined with simultaneous TES and BESS. The capacity of the various production and storage components of the system, as well as the percentage contribution of each energy source, are determined by the ESCEA algorithm, which offers all feasible alternatives.…”

Section: Hybrid Csp/pv/wind With Tesmentioning

confidence: 99%

Concentrating solar power (CSP) technologies: Status and analysis

Alami¹,

Olabi²,

Rezk³

et al. 2023

International Journal of Thermofluids

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“…Some authors use TRNSYS for their studies for an office building in the Mediterranean area [20] and for a bitumen tank [21]. Additional generators are introduced in [22] and [23], respectively: a diesel generator and concentrated solar panels. The first study proposes a methodology for HRES sizing without data for the solar radiation and the wind speed, applied to Iran.…”

Section: Sizing Of Hybrid Systems For General Applicationmentioning

confidence: 99%

“…A linear equation without temperature influence is used in [27]. The authors of [13,22,23] consider only the influence of the cell temperature on the PV efficiency, while the influence of the solar radiation is neglected. In [18,19,26], the solar radiation influence is taken into account.…”

Section: Sizing Of Hybrid Systems For General Applicationmentioning

confidence: 99%

“…The models differ in the form of the power curve between the cut-in speed and the rated speed. This part of the curve can be linear [23], quadratic [22], cubic [18,24], exponential [14], or have a higher order [13]. Some authors use the power factor to determine the output power in this speed range [16,20,21].…”

Section: Sizing Of Hybrid Systems For General Applicationmentioning

confidence: 99%

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Multivariate Analysis of a Wind–PV-Based Water Pumping Hybrid System for Irrigation Purposes

et al. 2021

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The Green Deal and increased nutritional needs are driving factors in human activities nowadays. Agriculture is an essential economic sector that can profit from the application of renewable energy sources by the assimilation of off-grid, arid and barren terrains. Power supplied by hybrid systems for water pumping is a solution for overcoming the stochastic character of the renewable energy sources. This paper presents a sizing methodology for a hybrid system with wind and PV generation and water tank storage, based on the consideration of the entire energy conversion chain with energy models and a one-year operation simulation. The PV generator is modeled using a reduced Durisch’s model, while for the wind generator a piecewise interpolation is used. The methodology is applied for sites in Bulgaria with specific agricultural crops and meteorological data. Combinations of PV (different technologies) and wind (different types) generators and water tank capacities are considered and discussed. The combinations are compared on the basis of three criteria: the investment cost, the satisfaction of crop requirements and system oversizing. The possibility for the introduction of battery storage is also examined. The results show some trends in the hybrid system sizing and the possibility to apply the proposed methodology for various sites, generators and crops.

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Electric System Cascade Extended Analysis for optimal sizing of an autonomous hybrid CSP/PV/wind system with Battery Energy Storage System and thermal energy storage

Cited by 50 publications

References 35 publications

Optimal Sizing of Renewable Autonomous Hybrid system based on Costs using Grey Wolf Optimization

Optimal Sizing of Renewable Autonomous Hybrid system based on Costs using Grey Wolf Optimization

Concentrating solar power (CSP) technologies: Status and analysis

Multivariate Analysis of a Wind–PV-Based Water Pumping Hybrid System for Irrigation Purposes

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