Optimal, reliable and economic designing of renewable energy photovoltaic/wind system considering different storage technology using intelligent improved salp swarm optimisation algorithm, commercial application for Iran country

Vahid, Masoud Zahedi; Hajivand, Mohammad; Moshkelgosha, Mahmoud; Parsa, Navid; Mansoori, Hosain

doi:10.1080/14786451.2020.1716758

Cited by 14 publications

(8 citation statements)

References 18 publications

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“…Best results were obtained, which prove the efficacy of the optimization method and the performance of the system. Different hybrid energy system configurations were studied to provide electrical power and various optimization algorithms were employed [110][111][112][113][114][115][116] by means of Whale Optimization Algorithm (WOA), Improved Artificial Ecosystem Optimization (IAEO), Improved Salp Swarm Optimization Algorithm (ISSOA), Jaya Algorithm (JA), Crow Search Algorithm (CSA), Farmland Fertility Algorithm (FFA), and Improved Sine-Cosine Algorithm (ISCA). These studies allow to extract the best energy system configuration through the best optimization algorithm considering various optimization problems and constraints.…”

Section: Modern Optimization Methodsmentioning

confidence: 99%

Overview: Using Hybrid Energy System for Electricity Production Based on the Optimization Methods

Saib,

Bayındır,

Vadi

2024

Gazi University Journal of Science

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Renewable energy systems are mostly used in the world due to their inexhaustible and non-polluting production. As a result of a large utilization of these energy sources in different areas, the electricity production rate is increasing every day. Previous studies clarified uses, modeling, configuration, energy management operation, and optimization objectives based on different energy sources. For this reason, this paper focuses on an overview of multi energy systems as renewable and conventional power sources with the integration of an energy storage system coupled to the on-off electrical network. Furthermore, a survey is done regarding global energy production, configuration energy systems, energy storage systems, power management strategies, and optimization methods based on different hybrid energy systems. Multiple optimization approaches have been implemented to reach the global best solution for the hybrid power systems. To ensure the best optimization result, it is preferable to take hybrid optimization methods into consideration. These methods have been invented recently and have proved their efficacy and performance mainly in power systems.

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Section: Modern Optimization Methodsmentioning

confidence: 99%

Overview: Using Hybrid Energy System for Electricity Production Based on the Optimization Methods

Saib,

Bayındır,

Vadi

2024

Gazi University Journal of Science

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“…In terms of designing a hybrid system, ISSOA performed better than SSOA and PSO. [14] WTG-solar PV -H 2 storage Hybrid grey wolf optimizer sine cosine algorithm When LSCS and LIP are taken into account, PV/WTG/FC is shown to be the best configuration to meet the load requirement. H 2 is essential in reducing RE fluctuation, which helped the system achieve the highest level of dependability.…”

Section: Flower Pollination Algorithmmentioning

confidence: 99%

“…To corroborate these results, HOMER Pro creates energy profiles for the solar PV, FC, ELZ, and hydrogen tanks, as depicted in Figs. (11)(12)(13)(14)(15). The operational ranges are 0-1800 kW for Solar PV, 0-250 kW for the FC, and 0-700 kW for the ELZ.…”

Section: Applying Dbm For the System Sizingmentioning

confidence: 99%

Hybrid Off-Grid Energy Systems Optimal Sizing with Integrated Hydrogen Storage Based on Deterministic Balance Approach

Selim,

El-shimy,

Amer

et al. 2023

Preprint

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Incorporating diverse renewable energy sources is imperative for establishing a resilient and sustainable power infrastructure. This research explores the optimal techno-economical hybrid energy system configuration, emphasizing hydrogen energy for system balance. We introduce a novel DBM (Deterministic Balanced Method) to ascertain the annual energy output over the project’s lifespan, contrasting it with HOMER software results. Validation against HOMER Pro revealed a high consistency in our method, with differences within a 5% range. This indicates our approach’s reliability in determining hybrid energy system sizes accurately. In addition to harnessing solar radiation and wind data from NASA and METEONORM, our study encompasses a real-case evaluation of Cairo International Airport’s hybrid renewable energy systems. The system design is based on actual, researched loads. Our results not only offer insights into effective hybrid energy system sizing but also propose using surplus energy in distributed networks for industrial and transportation energy conversion applications.

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“…Subsequently, BES is discharged when the RES is less than the demand to ensure continuous power supply to the varying load. Alternatively, a Fuel Cell (FC) was used as the ESS by authors in [14] and [15] for stand-alone HGPS. For this HGPS, the excess generation from the RES is used to power the electrolyser to produce hydrogen which is stored in the hydrogen storage tanks.…”

Section: Introductionmentioning

confidence: 99%

“…The FC can then be used as a backup source of power when the RES is not available or sufficient to meet the load demand. Authors in [15] also compared the economic analysis on various combinations of stand-alone HGPS alongside ESS such as BES and FC for a commercial centre load supply. This analysis suggests that stand-alone HGPS should consists of both PV and WT alongside the ESS to improve system reliability and reduce the overall costs of the system.…”

Section: Introductionmentioning

confidence: 99%

Smart Local Energy Systems: Optimal Planning of Stand-Alone Hybrid Green Power Systems for On-Line Charging of Electric Vehicles

Gharavi¹,

Kean

Flynn

2023

IEEE Access

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Multi-vector smart local energy systems are playing an increasingly importantly role in the fast-track decarbonisation of our global energy services. An emergent contributor to global decarbonisation is green hydrogen. Green hydrogen can remove or reduce the burden of electrification of heat and transport on energy networks and provide a sustainable energy resource. In this paper, we explore how to optimally design a standalone hybrid green power system (HGPS) to supply a specific load demand with on-line charging of Electric Vehicles (EV). The HGPS includes wind turbine (WT) units, photovoltaic (PV) arrays, electrolyser and fuel cell (FC). For reliability analysis, it is assumed that WT, PV, DC/AC converter, and EV charger can also be sources of potential failure. Our methodology utilises a particle swarm optimization, coupled with a range of energy scenarios as to fully evaluate the varying interdependences and importance of economic and reliability indices, for the standalone HGPS. Our analysis indicates that EV charging with peak loading can have significant impact on the HGPS, resulting in significant reductions in the reliability indices of the HGPS, therefore enhance the operation of HGPS and reduces the overall cost. Our analysis demonstrates the importance of understanding local demand within a multi-vector optimization framework, as to ensure viable and resilient energy services. INDEX TERMSSmart local energy system, green hydrogen, reliability, economics, optimization, electric vehicle charging. NOMENCLATURE ACRONYMS BES Battery Energy Storage. DGs Distributed Generation Sources. EENS Expectation Of Not Served Energy. ELF Equivalent Loss Factor. ESS Energy Storage System. EV Electric Vehicle. FC Fuel Cell.The associate editor coordinating the review of this manuscript and approving it for publication was Frederico Guimarães .

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Optimal, reliable and economic designing of renewable energy photovoltaic/wind system considering different storage technology using intelligent improved salp swarm optimisation algorithm, commercial application for Iran country

Cited by 14 publications

References 18 publications

Overview: Using Hybrid Energy System for Electricity Production Based on the Optimization Methods

Overview: Using Hybrid Energy System for Electricity Production Based on the Optimization Methods

Hybrid Off-Grid Energy Systems Optimal Sizing with Integrated Hydrogen Storage Based on Deterministic Balance Approach

Smart Local Energy Systems: Optimal Planning of Stand-Alone Hybrid Green Power Systems for On-Line Charging of Electric Vehicles

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