Optimum Design of a Hybrid Renewable Energy System

Jahanbani, Fatemeh; Riahy, G.H.

doi:10.5772/27085

Cited by 15 publications

(10 citation statements)

References 25 publications

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“…where: H LOL is the number of hours with load losses and H tot is the operation hours. ELF stands for the effective outage hours divided by the aggregated number of operating hours [98,99]:…”

Section: Power Reliability Indicatorsmentioning

confidence: 99%

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Hybrid Renewable Energy Systems’ Optimisation. A Review and Extended Comparison of the Most-Used Software Tools

Kavadias

Triantafyllou

2021

Energies

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To help stakeholders plan, research, and develop Hybrid Renewable Energy Systems (HRES), the elaboration of numerous modelling techniques and software simulation tools has been reported. The thorough analysis of these undoubtedly complex systems is strongly correlated with the efficient utilisation of the potential of renewable energy and the meticulous development of pertinent designs. In this context, various optimisation constraints/targets have also been utilised. This specific work initially carries out a thorough review of the modelling techniques and simulation software developed in an attempt to define a commonly accepted categorisation methodology for the various existing HRES simulation methods. Moreover, the widely utilised optimisation targets are analysed in detail. Finally, it identifies the sensitivity of two commercial software tools (HOMER Pro and iHOGA) by examining nine case studies based on different wind and solar potential combinations. The results obtained by the two commercial tools are compared with the ESA Microgrid Simulator, a software developed by the Soft Energy Applications and Environmental Protection Laboratory of the Mechanical Engineering Department of the University of West Attica. The evaluation of the results, based on the diversification of the renewable energy potential used as input, has led to an in-depth assessment of the deviances detected in the software tools selected.

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Section: Power Reliability Indicatorsmentioning

confidence: 99%

“…For standalone applications and remote rural areas, a value of ELF less than 0.01 is considered acceptable [100][101][102]. Jahanbani and Riahy [99] stated in their work that for grid-connected systems in developed countries, a target of 0.0001 for the ELF reliability indicator is set.…”

Section: Power Reliability Indicatorsmentioning

confidence: 99%

Hybrid Renewable Energy Systems’ Optimisation. A Review and Extended Comparison of the Most-Used Software Tools

Kavadias

Triantafyllou

2021

Energies

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“…The system designed considered uncertainty in load, wind and solar radiation at different times. Standalone system consisting of solar, wind and battery storage system has been designed using particle swamp optimization in [30].The system design was for the Northern Iran with a life span of 20-year. However, the system may not be optimum when considering a diesel generator and power from the renewable energy sources.…”

Section: Research Efforts In Optimum Design Of Microgridsmentioning

confidence: 99%

State of the Art in Research on Optimum Design, Reliability and Control of Renewable Energy Microgrids

Abdulkarim¹,

Фарук

Oloyode

et al. 2018

Elektrika

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This paper has presented a comprehensive review in the area of microgrid from the design to implementation. The aim is to evaluate the current status, problems and research efforts toward realising functional microgrids in the power system. The expectations about microgrid are many; therefore the study is divided into three main sections. Recent advancements in the wind energy, solar energy and their future prediction are summarised. States of arts in optimum design of renewable energy microgrid are also investigated. In addition, critical literature review in the reliability analysis of microgrids consisting of renewable energy sources is also reported. Control of microgrids consisting renewable energy sources have been presented. Some examples of existing microgrids across the globe are critically reviewed. The work therefore recommends that energy planners and all stakeholders should consider environmental and regional difference in microgrids planning. Finally, future research areas and directions in these areas are highlighted.

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“…Some utility companies in developing countries set ELF <0.0001 for mikrogrid applications that are not connected to the grid. While in some underdeveloped countries usually set ELF <0.01 [7][14] [15].…”

Section: B Equivalent Loss Factor (Elf) Indexmentioning

confidence: 99%

Optimal Cost Valuation for Renewable Power Plants Using PSO in Rural Area

Sabri¹,

Zein²,

Yusuf³

2015

ijeei

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Cost is the main factor to run a project. Projects of renewable hybrid power plants that typically built in rural area have limited development funds. Thus, these plants should be based on an effectiveness and efficiency in order to meet the load demands with a certain reliability index. This work explains minimum cost by optimizing the cost of the power plants, Nett Present Cost or NPC, with an Equivalent Loss Factor (ELF) index to supply typical villages needs (200 kW), with the source of wind, solar, micro hydro and fuel cell. The result of this optimization includes batteries are used as an energy storage, which are considered as a source in the optimization process. The simulation by PSO method is proposed to solve the optimization problems. The simulation produces the equation function between Cost of Energy, LCOE and a reliability ELF index by y =-0.016ln (x) + 0.0131. The lower ELF index the higher LCOE value, according to the equation function.

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Optimum Design of a Hybrid Renewable Energy System

Cited by 15 publications

References 25 publications

Hybrid Renewable Energy Systems’ Optimisation. A Review and Extended Comparison of the Most-Used Software Tools

Hybrid Renewable Energy Systems’ Optimisation. A Review and Extended Comparison of the Most-Used Software Tools

State of the Art in Research on Optimum Design, Reliability and Control of Renewable Energy Microgrids

Optimal Cost Valuation for Renewable Power Plants Using PSO in Rural Area

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