Optimization of hybrid renewable energy power systems using evolutionary algorithms

Kartite, Jihane; Cherkaoui, Mohamed

doi:10.1109/icosc.2016.7507059

Cited by 13 publications

(5 citation statements)

References 11 publications

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“…The system used in this paper is a multisource system composed of hybrid renewable energy source system based on photovoltaic panel, wind turbine generator and fuel cells electrolyzer [9]. The storage facilities are used to smooth out the renewable energy fluctuation.…”

Section: Hybrid Renewable Energy System Presentationmentioning

confidence: 99%

“…𝐸 𝑠𝑡𝑜𝑟 (𝑡) = 𝐸 𝑠𝑡𝑜𝑟 (𝑡 − 1) + (𝐸 𝑟𝑒𝑛 (𝑡) − 𝐸 𝑙𝑜𝑎𝑑 (𝑡) 𝐸𝑓𝑓 𝑖𝑛𝑣 ⁄ )𝐸𝑓𝑓 𝑒𝑙𝑒𝑐𝑡 (9) where Estor is the hydrogen stored in the tanks, Eren is the energy produced from renewable sources, Eload is the energy load and Effinv is the efficiency of the inverter. − when the energy demand of the load is greater than the energy produced by renewable energy sources, the FC will be used to feed up the load [11].…”

Section: Fuel Cell Modelmentioning

confidence: 99%

“…where Cp is the total cost of PV generator, Cw is the total cost of wind turbine generator and Cfc is the total cost of the fuel cell. The cost of supplying energy with PV generator and wind turbine generator is determined in [22]. The cost of power produced from FC is determined in (19).…”

Section: Objective Functionmentioning

confidence: 99%

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Improved backtracking search optimization algorithm for PV/Wind/FC system

Kartite

Cherkaoui

2020

TELKOMNIKA

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This paper uses a novel optimization method based on the improved backtracking search optimization algorithm (IBSA). The study is conducted for a hybrid stand-alone system composed of photovoltaic panel (PV), wind turbine generator and fuel cell electrolyzer (FC). To demonstrate the effectiveness of the IBSA, four benchmark functions are used. The result shows the better exploration and exploitation of the improved backtracking search optimization algorithm in terms of convergence and speed for system comprinsing PV panel wind, turbine generator and fuel cell. The proposed algorithm is used to optimize the annual total cost (ATC) of the energy produced and feed up the load demand. The economic evaluation of the Hybrid PV/Wind/FC system is done throughout hourly demand and daily wind speed and insulation. The simulation results justify the robustness of the IBSA.

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Section: Hybrid Renewable Energy System Presentationmentioning

confidence: 99%

Section: Fuel Cell Modelmentioning

confidence: 99%

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Improved backtracking search optimization algorithm for PV/Wind/FC system

Kartite

Cherkaoui

2020

TELKOMNIKA

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“…The mathematical model of power produced by renewable technologies varies from deterministic and probabilistic approaches. All of them are calculated based on climatic data [2]. In this section the electrical power from the PV arrays and a wind turbine generator is determined, then the power reliability factor is calculated.…”

Section: Hybrid System Model 21 Pv Array Modelmentioning

confidence: 99%

“…The battery-integrated Renewable Energy Sources (RES) -Photovoltaic cells and wind turbines for instance, are considered in this study and proved tangible enhancements in terms of system cost and reliability. In isolated area, the primarily power supply source could be a diesel generator, even though this solution is conceptually and technically simple it suffers from many drawbacks related to pollution [1][2]. In the literature there are several software tools dealing with battery-integrated RES systems, among these tools we found RETScreen [3] and HOMER [4].This software allows comprehensive identification, assessment and optimization of the technical and financial viability of the intermittent energies in use (in this case PV and wind power sources) and by the way exhibit the best energy efficiency scenario.…”

Section: Introductionmentioning

confidence: 99%

Backtracking Search Algorithm for Total Cost Optimization of Hybrid Renewable Pv/wind System Coupled With Battery Storage

Kartite

Cherkaoui

2020

Wseas Transactions on Systems

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Hybrid renewable energy sources can be seen as one of the most used way to electrify remote area. They are more suitable for loads with variation in a daily basis demand. In order to size up optimally the hybrid PV/Wind system coupled with battery storage, the proposed technique is based on meteorological data to determine the electrical power produced by PV panels and wind turbine generators. Once this power is determined, the total renewable energy cost per year and the system reliability are optimized for two different scale factor f. To do so, a Backtracking Search algorithm (BSA) is used and thoroughly described throughout this paper. Moreover, some results are carried out concerning the penalty factor ɷ to highlight the impact of this factor on the rate of renewable energy (RELD).

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Hybridization utility and size optimization of a stand‐alone renewable energy micro‐grid

Cherif

2020

Env Prog and Sustain Energy

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Optimization of the stand‐alone micro‐grid is needed to minimize energy generation cost and environmental impacts. Protect the environment and saving cost can be obtained by choosing renewable energy sources as the power generation, such as photovoltaic (PV) and wind turbine. In this paper, authors investigate the hybridization utility and size optimization of a stand‐alone micro‐grid using the genetic algorithm. The considered micro‐grid consists on PV generator, wind turbines and storage batteries. This study is based on a bi‐objective optimization process. The life cycle cost (LCC) and the loss of power supply probability are respectively the economic criterion and the system reliability criterion under constraints. The energy modeling of the system's components enables energy flows simulation and further objective functions evaluation. The meteorological data of the location situated in Tunisia are considered. In order to study the resources randomness impact on systems optimal design, the data relating to December and August are used as references respectively to winter and summer. According to hybridization study, the hybrid PV/wind/battery system is the most appropriate system configuration for the studied location for both seasons compared to PV/battery or wind/battery. Results showed the significant influence of the battery bank design on the systems reliability and LCC.

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Optimization of hybrid renewable energy power systems using evolutionary algorithms

Cited by 13 publications

References 11 publications

Improved backtracking search optimization algorithm for PV/Wind/FC system

Improved backtracking search optimization algorithm for PV/Wind/FC system

Backtracking Search Algorithm for Total Cost Optimization of Hybrid Renewable Pv/wind System Coupled With Battery Storage

Hybridization utility and size optimization of a stand‐alone renewable energy micro‐grid

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