Optimal sizing of distributed energy resources in microgrid considering wind energy uncertainty with respect to reliability

Navaeefard, Arash; Moghaddas-Tafreshi, Seyed Masoud; Barzegari, Mostafa; Shahrood, Amir Jalali

doi:10.1109/energycon.2010.5771795

Cited by 27 publications

(21 citation statements)

References 10 publications

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“…A specific Artificial Neural Network algorithm is used for production forecasting, meanwhile a classical approach is used for the optimization problem. An heuristic method is again used in [40] by Navaeefard et al They introduce uncertainty in a microgrid sizing problem that includes photovoltaic PV/wind hybrid system with storage energy systems. Wind power uncertainty is proposed and reliability index are considered as a constraint.…”

Section: Power Generation MIX Selection and Sizing: Economic Load Dismentioning

confidence: 99%

Computational optimization techniques applied to microgrids planning: A review

Gamarra

Guerrero

2015

Renewable and Sustainable Energy Reviews

333

143

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Microgrids are expected to become part of the next electric power system evolution, not only in rural and remote areas but also in urban communities. Since microgrids are expected to coexist with traditional power grids (such as district heating does with traditional heating systems), their planning process must be addressed to economic feasibility, as a long-term stability guarantee. Planning a microgrid is a complex process due to existing alternatives, goals, constraints and uncertainties. Usually planning goals conflict each other and, as a consequence, different optimization problems appear along the planning process. In this context, technical literature about optimization techniques applied to microgrid planning have been reviewed and the guidelines for innovative planning methodologies focused on economic feasibility can be defined. Finally, some trending techniques and new microgrid planning approaches are pointed out.

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Section: Power Generation MIX Selection and Sizing: Economic Load Dismentioning

confidence: 99%

Computational optimization techniques applied to microgrids planning: A review

Gamarra

Guerrero

2015

Renewable and Sustainable Energy Reviews

333

143

View full text Add to dashboard Cite

show abstract

“…Navaerfad et al [13] presented an optimal sizing approach for Distributed energy resources in a micro grid consisting of Wind, solar hybrid system with electrolizer, hydrogen tank, fuel cell and batteries. They proposed the uncertainty of wind power alongside a reliability index as constraints and used PSO algorithm to obtain the global optimal solution.…”

Section: Saber and Venayagamoorthymentioning

confidence: 99%

A Review of Techniques in Optimal Sizing of Hybrid Renewable Energy Systems

Odero¹,

Okinda²

2015

IJRET

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This paper presents a review of techniques usedin recent published works on optimal sizing of hybrid renewable energy sources. Hybridization of renewable energy sources is an emergent promising trend born out of the need to fully utilize and solve problems associated with the reliability of renewable energy resources such as wind and solar. Exploitation of these resources has been instrumental in tackling or mitigating present day energy problems such as price instability for fossil based fuels, global warming and climate change in addition to being seen as way of meeting future demand for power. This paper targets researchers in the renewable energy space and the general public seeking to inform them on trends in methods applied in optimal sizing of hybrid renewable energy sources as well as to provide a scope into what has been done in this field. In reviewing previous works, a two prong approach has been used focusing attention on the sizing methods used in the reviewed works as well as the performance indices used to check quality by these works. In summary there is a clear indication of increased interest in recent years in optimal sizing of hybrid renewable energy resources with metaheuristic approaches such as Genetic Algorithms and Particle Swarm Optimization coming out as very interesting to researchers. It has also been observed that resources being hybridized are those with complementary regimes on specific sites.

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“…Authors Navaeefard, A., Tafreshi, S. M., Barzegari, M [8] proposed an optimal sizing method for Micro grid connected distributed energy resources. The micro grid is in this paper comprises of PV/wind hybrid system with a storage facility.…”

Section: Introductionmentioning

confidence: 99%

Optimization Techniques for Energy handling System in a Microgrid

Joseph*,

Jeyaprabha

2020

IJRTE

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The energy from the renewable energy sources primarily depends on the geographical factors. Intermittency is a major issue for renewable energy sources which will result in comparatively high electricity generation cost and a proper need of an energy management system. In an intelligent era, the increasing penetration level of solar photovoltaic (PV) energy is becoming a tedious task. Hence, an energy management system is required to control the energy flow when there is more than one source connected. Real time energy management becomes challenging because of the time varying prices of electricity, mismatch of generation and demand etc. So, they are widely related to the optimization techniques. This paper explains a broader review of various challenges on integration of Renewable energy sources to the grid. Also, an extensive review of numerous approaches of Energy management system is given in this paper. Different optimization techniques are discussed along with its advantages and limitations for better and more optimized Energy management in the micro grid. A proper energy management system helps to decrease the electricity prices as well as increases the power system reliability. Also, improves the grid stability.

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Optimal sizing of distributed energy resources in microgrid considering wind energy uncertainty with respect to reliability

Cited by 27 publications

References 10 publications

Computational optimization techniques applied to microgrids planning: A review

Computational optimization techniques applied to microgrids planning: A review

A Review of Techniques in Optimal Sizing of Hybrid Renewable Energy Systems

Optimization Techniques for Energy handling System in a Microgrid

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