Capacity optimization of grid connected solar/fuel cell energy system using hybrid ABC-PSO algorithm

Singh, Shakti; Chauhan, Prachi; Singh, Nirbhowjap

doi:10.1016/j.ijhydene.2020.02.018

Cited by 135 publications

(46 citation statements)

References 45 publications

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“…To analyze and extract electricity consumption patterns from electricity data, a service-oriented architecture (SOA) approach has been proposed, A hybrid system (solar energy/fuel cell) connected to the grid using the ABC-PSO algorithm was developed. The obtained results prove its reliability and efficiency [24].…”

Section: Introductionsupporting

confidence: 59%

A Survey of Hydrogen Energy and I-Energy Applications: Household Intelligent Electrical Power Systems

Sami

2020

IEEE Access

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The authors would like to thank the DSR technical and financial support. ABSTRACT I-energy and its applications used in the smart grid are chosen as attractive research issues due to their widespread applications in the smart home. In this vein, the optimization of energy demand in smart home appliances, in a smart grid, is considered the main challenge faced by power companies during peak periods regarding its considerable effect on the global power system stabilities. Therefore, this paper aims to show explicitly the performance of smart grid on electricity and hydrogen applications with reused communication methods. To facilitate the understanding of the communication-reused methods in the smart grid, several components are identified and presented in terms of improvements, benefits and lack of features. In the smart grid, most innovation communications are being used as wireline and wireless bundle, where the main features are aggregated. Indeed, reducing consumers' electricity bills in smart home electrical systems relies on increasing the relationship between the highest energy demand and annual energy use. The most appropriate research has been reviewed on optimization approaches discussing the smart home electric system. The examined methods are categorized into trustworthy and metaheuristic algorithms. INDEX TERMS Smart home, I-energy concept, hydrogen-renewable energy system, smart meter, smart grid, risk management, demand-side management, AMI.

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Section: Introductionsupporting

confidence: 59%

A Survey of Hydrogen Energy and I-Energy Applications: Household Intelligent Electrical Power Systems

Sami

2020

IEEE Access

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“…There are various algorithms in the literature such as artificial bee colony (ABC), particle swarm optimization (PSO), genetic algorithm, random search algorithm, differential evolution. Among these solution approaches, ABC [15] and PSO [16,17] are the most common techniques used to solve optimization problems [18]. Although the ABC algorithm has an effective discovery capability, it has weak exploitation capability.…”

Section: Computer Science Computational Methods Algorithms and Artificial Intelligence Sessionmentioning

confidence: 99%

Cost Efficient Multi-Source Energy Mixing for Renewable Energy Microgrids Using Hybrid Abcpso Algorithm

Kömürgöz¹,

Keles²

2021

Proceedings of the International Scientific Conference - Sinteza 2021

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Energy management systems can provide a variety of features and services to prosumers. One of its most important functions is to determine cost-effective energy mixing rates by evaluating the unit price and power of energy resources. This study mainly proposes a hybrid optimization based on two heuristic algorithms: Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO) algorithms. A hybrid ABC-PSO algorithm has been applied to solve the energy efficient multi-source energy mixing problem in Matlab. The proposed algorithm has been tested in the simulation of an energy management system including a grid, solar panel, wind turbine, and storage unit. The results show that the proposed algorithm responds appropriately to meet the hourly changing demand of the consumer in cases of energy production fluctuations in renewable energy sources and dynamic electricity price tariff implementation of the grid. This method can provide cost efficiency by maintaining the energy balance of consumers in smart grids. The algorithm has a simple structure, thus the method provides a solution for low-cost energy management applications in the microgrid.

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“…Meta-heuristic algorithms such as hybrid artificial bee colony-particle swarm optimisation (ABC-PSO) performed better than individual ABC or PSO for an optimal sizing of an IPVFC systems for grid integration [107]. The system was designed to meet a total electricity demand of 35 MWh yr-1 with a 106 kW PV array, an 8 kW PEMFC stack, a 45-kW electrolyser stack and a 150 kg hydrogen tank.…”

Section: Design Optimisation and Economic Assessment Of Ipvfc Systemsmentioning

confidence: 99%

Prospects of Integrated Photovoltaic-Fuel Cell Systems in a Hydrogen Economy: A Comprehensive Review

Ogbonnaya¹,

Abeykoon²,

Nasser³

et al. 2021

Preprint

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Integrated photovoltaic-fuel cell (IPVFC) systems, amongst other integrated energy generation methodologies are renewable and clean energy technologies that have received diverse research and development attentions over the last few decades due to their potential applications in a hydrogen economy. This article systematically updates the state-of-the-art of IPVFC systems and provides critical insights into the research and development gaps needed to be filled/addressed to advance these systems towards full commercialisation. The design methodologies, renewable energy-based microgrid and off-grid applications, energy management strategies, optimisations and the prospects as self-sustaining power source were covered. IPVFC systems could play an important role in the upcoming hydrogen economy since they depend on solar hydrogen which has almost zero emissions during operation. Highlighted herein are the progresses as well as the technical challenges requiring research efforts to solve to realise numerous potential applications of IPVFC systems such as in unmanned aerial vehicles, hybrid electric vehicles, agricultural applications, telecommunications, desalination, synthesis of ammonia, boats, buildings, and distributed microgrid applications.

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Capacity optimization of grid connected solar/fuel cell energy system using hybrid ABC-PSO algorithm

Cited by 135 publications

References 45 publications

A Survey of Hydrogen Energy and I-Energy Applications: Household Intelligent Electrical Power Systems

A Survey of Hydrogen Energy and I-Energy Applications: Household Intelligent Electrical Power Systems

Cost Efficient Multi-Source Energy Mixing for Renewable Energy Microgrids Using Hybrid Abcpso Algorithm

Prospects of Integrated Photovoltaic-Fuel Cell Systems in a Hydrogen Economy: A Comprehensive Review

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