Journal ArticleDOI
Review of recent trends in optimization techniques for solar photovoltaic–wind based hybrid energy systems
TLDR
An update literature review on trends in optimization techniques used for the design and development of solar photovoltaic–wind based hybrid energy systems is presented and suggests using hybridization of two or more algorithms to overcome the limitations of a single algorithm.Abstract:
An update literature review on trends in optimization techniques used for the design and development of solar photovoltaic–wind based hybrid energy systems is presented. The main objective is to identify latest promising techniques for the optimization of solar photovoltaic (PV)–wind based hybrid systems. Different techniques used by researchers for the optimization of renewable based hybrid energy systems are reviewed along with PV–wind based hybrid system sizing methodology, is presented. Optimization studies during last 2.5 decades by researchers using traditional and new generation methods are analyzed and sixteen optimization methods including hybrid algorithms are presented. The trend shows that new generation artificial intelligence algorithms are mostly used during last decade as these require less computation time and have better accuracy, good convergence in comparison to traditional methods. The study suggests using hybridization of two or more algorithms to overcome the limitations of a single algorithm. Additionally some other techniques are identified for follow up research in the design of PV–wind hybrid systems. This review will be useful for researchers to face complexity and challenges in renewable energy based hybrid system research.read more
Citations
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Journal ArticleDOI
Battery energy storage system size determination in renewable energy systems: A review
TL;DR: It becomes clear that the critical metrics for battery sizing, and by extension the most suitable method for determining battery size, are determined by the type of renewable energy system application, as well as its size.
Journal ArticleDOI
A review of modelling tools for energy and electricity systems with large shares of variable renewables
TL;DR: An updated overview of currently available modelling tools, their capabilities and to serve as an aid for modellers in their process of identifying and choosing an appropriate model for analysing energy and electricity systems is presented.
Journal ArticleDOI
A review on recent size optimization methodologies for standalone solar and wind hybrid renewable energy system
TL;DR: This paper aims to present a comprehensive review on recent developments in size optimization methodologies, as well as a critical comparison of single algorithms, hybrid algorithms, and software tools used for sizing standalone solar and wind HRES.
Journal ArticleDOI
A review on planning, configurations, modeling and optimization techniques of hybrid renewable energy systems for off grid applications
Rajanna Siddaiah,R.P. Saini +1 more
TL;DR: In this article, a comprehensive review of the research work carried out in planning, configurations, and modeling and optimization techniques of hybrid renewable energy systems for off-grid applications is presented.
Journal ArticleDOI
A review on recent sizing methodologies of hybrid renewable energy systems
TL;DR: Hybrid methods with high accuracy and fast convergence that can surmount the defects of single methods are the most promising sizing method compared to the other three sizing methods.
References
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TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.
Proceedings ArticleDOI
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TL;DR: This book brings together the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields.
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Ant colony system: a cooperative learning approach to the traveling salesman problem
TL;DR: The results show that the ACS outperforms other nature-inspired algorithms such as simulated annealing and evolutionary computation, and it is concluded comparing ACS-3-opt, a version of the ACS augmented with a local search procedure, to some of the best performing algorithms for symmetric and asymmetric TSPs.