Journal ArticleDOI
Optimal sizing of grid integrated hybrid PV-biomass energy system using artificial bee colony algorithm
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In this paper, the authors presented an optimal sizing methodology for a stand-alone and grid connected PV-biomass hybrid energy system that serves the electricity demand of a typical village.Abstract:
This study presents an optimal sizing methodology for a stand-alone and grid connected PV-biomass hybrid energy system that serves the electricity demand of a typical village. However, this method is scalable and can be used in any test system. A recently developed artificial bee colony (ABC) algorithm is used to detect out the optimum hybrid system configuration with the least levelised cost of energy while minimising annualised cost of the system. It has been observed from the results that a grid connected hybrid PV-biomass system is cost effective and reliable choice for rural electrification as compared with stand-alone hybrid PV-biomass energy system. It has been emerged from this study that the proposed system offers reliable and affordable electricity in a sustainable way by harnessing locally available natural resources. A brief comparison of results obtained from the ABC algorithm and hybrid optimisation model for electric renewable (HOMER) has been carried out. Moreover, it is also observed from the results that the ABC algorithm provides better results as compared with HOMER.read more
Citations
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Journal ArticleDOI
Feasibility study of an islanded microgrid in rural area consisting of PV, wind, biomass and battery energy storage system
TL;DR: In this paper, a swarm-based artificial bee colony (ABC) algorithm is applied for optimal sizing of components, and the results are compared with the results obtained from the standard software tool, hybrid optimization model for electric renewable (HOMER) and particle swarm optimization (PSO) algorithm.
Journal ArticleDOI
Optimal integration and planning of renewable distributed generation in the power distribution networks: A review of analytical techniques
Ali Ehsan,Qiang Yang +1 more
TL;DR: In this article, a comprehensive review and critical discussion of state-of-the-art analytical techniques for optimal planning of renewable distributed generation is conducted, and a comparative analysis of analytical techniques is presented to show their suitability for distributed generation planning in terms of various optimization criteria.
Journal ArticleDOI
Techno-economic analysis of the lithium-ion and lead-acid battery in microgrid systems
TL;DR: The study reveals that Li-ion batteries as energy storage are techno-economically more viable compared to LA batteries and they are expected to play a significant role in various applications of future electric power systems.
Journal ArticleDOI
Optimization and sensitivity analysis of standalone hybrid energy systems for rural electrification: A case study of Iraq
TL;DR: In this article, the authors presented a techno-economic and environmental analysis of different hybrid systems to supply electricity to a typical Iraqi rural village using the HOMER software for the optimization of the systems using the multi-year module.
Journal ArticleDOI
Techno-economic analysis of lithium-ion and lead-acid batteries in stationary energy storage application
Abraham Alem Kebede,Abraham Alem Kebede,Thierry Coosemans,M. Messagie,Towfik Jemal,Henok Ayele Behabtu,Henok Ayele Behabtu,Joeri Van Mierlo,Maitane Berecibar +8 more
TL;DR: According to the result found, Li-ion batteries are techno-economically more viable than lead-acid batteries under the considered specifications and application profile.
References
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Journal ArticleDOI
A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm
Dervis Karaboga,Bahriye Basturk +1 more
TL;DR: Artificial Bee Colony (ABC) Algorithm is an optimization algorithm based on the intelligent behaviour of honey bee swarm that is used for optimizing multivariable functions and the results showed that ABC outperforms the other algorithms.
Journal ArticleDOI
On the performance of artificial bee colony (ABC) algorithm
Dervis Karaboga,Bahriye Basturk +1 more
TL;DR: The simulation results show that the performance of ABC algorithm is comparable to those of differential evolution, particle swarm optimization and evolutionary algorithm and can be efficiently employed to solve engineering problems with high dimensionality.
Journal ArticleDOI
A comparative study of Artificial Bee Colony algorithm
Dervis Karaboga,Bahriye Akay +1 more
TL;DR: Results show that the performance of the ABC is better than or similar to those of other population-based algorithms with the advantage of employing fewer control parameters.
Journal ArticleDOI
Optimal sizing method for stand-alone hybrid solar–wind system with lpsp technology by using genetic algorithm
TL;DR: An optimal sizing method was developed to calculate the optimum system configuration that can achieve the customers required loss of power supply probability (LPSP) with a minimum annualized cost of system (ACS).
Journal ArticleDOI
A Review of Hybrid Renewable/Alternative Energy Systems for Electric Power Generation: Configurations, Control, and Applications
M.H. Nehrir,Caisheng Wang,Kai Strunz,Hirohisa Aki,R. Ramakumar,J. Bing,Zhixin Miao,Z. Salameh +7 more
TL;DR: In this paper, a review of hybrid renewable/alternative energy (RE/AE) power generation systems focusing on energy sustainability is presented, highlighting some important issues and challenges in the design and energy management of hybrid RE/AE systems.
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