Optimal design of a reliable hydrogen-based stand-alone wind/PV generating system, considering component outages

Kaviani, A. Kashefi; Riahy, G.H.; Kouhsari, Shahram Montaser

doi:10.1016/j.renene.2009.03.020

Cited by 318 publications

(50 citation statements)

References 28 publications

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“…But, because, DC/AC converter is the only single cut-set of the system reliability diagram, the outage probability of it is taken consideration (it's FOR is considered 0.0011 [Kashefi et al, 2009] …”

Section: System's Reliability Modelmentioning

confidence: 99%

Optimum Design of a Hybrid Renewable Energy System

Jahanbani¹,

Riahy²

2011

Renewable Energy - Trends and Applications

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Section: System's Reliability Modelmentioning

confidence: 99%

Optimum Design of a Hybrid Renewable Energy System

Jahanbani¹,

Riahy²

2011

Renewable Energy - Trends and Applications

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“…However, the high capital costs associated with the hydrogen-based energy storage system somewhat offset the low energy storing cost when hydrogen balance is achieved, and this issue hinders the future development of the system [73,77,78].…”

Section: Hydrogen-based Energy Storage Systemsmentioning

confidence: 99%

“…The common methods that are used to optimize the power supply systems include Genetic Algorithm (GA) [66,67,101,105,108,109,116,[127][128][129], Particle Swarm Optimization (PSO) [71,78,128,130,131], Simulated Annealing (SA) [132,133], Honey Bee Mating Optimization (HBMO) [134,135], Neural Networks (NN) [111,114,136,137], Evolutionary Algorithm (EA) [66,116,134,138], and Simplex Algorithm [128,134,139,140]. In the context of remote telecommunication applications, Okundamiya et al [127] applied the GA approach to optimize a hybrid PV-wind-battery system for a BS site.…”

Section: System Sizing and Optimizationmentioning

confidence: 99%

Sustainable Power Supply Solutions for Off-Grid Base Stations

2015

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Abstract:The telecommunication sector plays a significant role in shaping the global economy and the way people share information and knowledge. At present, the telecommunication sector is liable for its energy consumption and the amount of emissions it emits in the environment. In the context of off-grid telecommunication applications, offgrid base stations (BSs) are commonly used due to their ability to provide radio coverage over a wide geographic area. However, in the past, the off-grid BSs usually relied on emission-intensive power supply solutions such as diesel generators. In this review paper, various types of solutions (including, in particular, the sustainable solutions) for powering BSs are discussed. The key aspects in designing an ideal power supply solution are reviewed, and these mainly include the pre-feasibility study and the thermal management of BSs, which comprise heating and cooling of the BS shelter/cabinets and BS electronic equipment and power supply components. The sizing and optimization approaches used to design the BSs' power supply systems as well as the operational and control strategies adopted to manage the power supply systems are also reviewed in this paper.

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“…Hence, the goal is to find the optimal design of a hybrid power generation system for reliable and economical supply of the load [3]. Several methods have been done by another researcher; many papers offer a variety of methods to find the optimal design of hybrid wind turbine and photo-voltaic generating systems [3][4][5]. In [3][4] and [6] Genetic Algorithm (GA) finds optimal sizes of the hybrid system components and power flow.…”

Section: Introductionmentioning

confidence: 99%

“…In [3][4] and [6] Genetic Algorithm (GA) finds optimal sizes of the hybrid system components and power flow. In some letterresearch, PSO is successfully implemented for optimal sizing of hybrid stand-alone power system, assuming continuous and reliable supply of the load [5].However, none of them working with the microhydro system. This paper proposes the method to find the optimal design of hybrid power generation system consists of micro-hydro, wind turbine and fuel-cell in the system.The target is to find the optimal size of components respect with minimum total annual cost system (ACS).…”

Section: Introductionmentioning

confidence: 99%