Discrete Multiobjective Grey Wolf Algorithm Based Optimal Sizing and Sensitivity Analysis of PV-Wind-Battery System for Rural Telecom Towers

Kaur, Rajvir; Vijayakumar, K.; Kandasamy, Nandha Kumar; Kumar, Saurabh

doi:10.1109/jsyst.2019.2912899

Cited by 54 publications

(25 citation statements)

References 23 publications

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“…By maximising the energy fluctuation rate, the compatibility between the generation and consumption is increased. In [133], a multi‐objective grey wolf algorithm (MOGWA) is applied to optimise the size of components for efficient electricity supply of rural telecom towers.…”

Section: Multi‐objective Optimisation Of Hybrid Standalone/grid‐connementioning

confidence: 99%

Review on the state‐of‐the‐art multi‐objective optimisation of hybrid standalone/grid‐connected energy systems

Khezri

Mahmoudi

2020

IET Generation, Transmission & Distribution

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Section: Multi‐objective Optimisation Of Hybrid Standalone/grid‐connementioning

confidence: 99%

Review on the state‐of‐the‐art multi‐objective optimisation of hybrid standalone/grid‐connected energy systems

Khezri

Mahmoudi

2020

IET Generation, Transmission & Distribution

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“…Validation was made by comparing the results obtained in optimization with other popular algorithms-the particle swarm optimization algorithm and genetic algorithm. To ensure optimum sizing of the system supplying a telecommunications TBS, a discrete grey wolf optimizer algorithm was proposed in paper [15]. The authors of [16] proposed a multi-criteria decision-making method as an alternative for optimization algorithms.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The objective function is defined with several economic indicators. The most common ones include: power generation costs [6,10,12,15], total annual cost [7,8,17,25], total current cost [19,20], total system cost [13,26], total lifecycle cost [27,28], total investment cost [29] and the payback period [19]. The pre-determined reliability level is usually ensured by assuming some limitations in the algorithm.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimization of a PV-Wind Hybrid Power Supply Structure with Electrochemical Storage Intended for Supplying a Load with Known Characteristics

et al. 2020

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An important aspect of the off-grid utilization of hybrid generation systems is the integration of energy storage facilities into their structures, which allows for improved power supply reliability. However, this results in a significant increase in the cost of such systems. Therefore, it is justified to use optimization resulting in the minimization of the selected economic indicator taking into account the most important technical constraints. For this reason, this work proposes an algorithm to optimize the structure of a hybrid off-grid power distribution system (with electrochemical energy storage), designed to supply a load with known daily energy demand. The authors recommend genetic algorithm utilization as well as a modified criterion for evaluating the quality of solutions based on the Levelized Cost of Energy (LCOE) index. Several technical and economic analyses were presented, including unit costs, power distribution of the wind and solar sections, nominal battery capacity, SSSI index (System Self-Sufficiency Index), etc. The model of the system includes durability of the elements which have a significant impact on the periodic battery replacement. The tests were carried out for two types of loads and two types of electrochemical batteries (NMC—Lithium Nickel Manganese Cobalt Oxide; and PbO2—Lead-Acid Battery), taking into account the forecast of an increased lifetime of NMC type batteries and decreasing their price within five years. The proposed synthesis method of photovoltaic-wind (PV-wind) hybrid off-line systems leads to limiting the energy capacity of electrochemical storages. Based on the analyses, the authors proposed recommended methods to improve (reduce) the value of the criterion index (LCOE) for PV-wind off-grid systems while maintaining the assumed level of power supply reliability.

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“…Optimal energy management of green next generation telecommunication networks is another aspect which was investigated in [2,[15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30]. The "energy consumption-based and user joint allocation" approach together with "the energy cost-based and user joint allocation" method were presented in [2].…”

Section: Introductionmentioning

confidence: 99%

“…The target of [24] was to minimize the installation costs for an unmanned aerial vehicle (UAV)-based cellular network, considering the constraints of UAV's coverage, solar panel energy consumption, levels of the batteries, and the deployment of the optical ring for connecting the installed sites. In [25], in order to prepare a reliable emission-free and economic power supply, optimal sizing of a hybrid renewable energy system based on a discrete multi-objective grey wolf algorithm was applied in off-grid rural base stations. In [26], a low complexity approach based on a convex optimization framework was proposed for dimensioning PVbattery systems in a stand-alone base station.…”

Section: Introductionmentioning

confidence: 99%

Optimum Sizing of Photovoltaic and Energy Storage Systems for Powering Green Base Stations in Cellular Networks

et al. 2021

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Satisfying the mobile traffic demand in next generation cellular networks increases the cost of energy supply. Renewable energy sources are a promising solution to power base stations in a self-sufficient and cost-effective manner. This paper presents an optimal method for designing a photovoltaic (PV)-battery system to supply base stations in cellular networks. A systematic approach is proposed for determining the power rating of the photovoltaic generator and battery capacity from a technical and economical point of view in order to minimize investment cost as well as operational expenditure, while the power autonomy of the PV-battery system is maximized in a multi-objective optimization framework. The proposed method is applied to optimally size a photovoltaic-battery system for three cases with different availability of solar power to investigate the effect of environmental conditions. Problem-solving using the proposed approach leads to a set of solutions at different costs versus different levels of power autonomy. According to the importance of each criterion and the preference of decision-makers, one of the achieved solutions can be selected for the implementation of the photovoltaic-battery system to supply base stations in cellular networks.

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Discrete Multiobjective Grey Wolf Algorithm Based Optimal Sizing and Sensitivity Analysis of PV-Wind-Battery System for Rural Telecom Towers

Cited by 54 publications

References 23 publications

Review on the state‐of‐the‐art multi‐objective optimisation of hybrid standalone/grid‐connected energy systems

Review on the state‐of‐the‐art multi‐objective optimisation of hybrid standalone/grid‐connected energy systems

Optimization of a PV-Wind Hybrid Power Supply Structure with Electrochemical Storage Intended for Supplying a Load with Known Characteristics

Optimum Sizing of Photovoltaic and Energy Storage Systems for Powering Green Base Stations in Cellular Networks

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