Performance analysis of a hybrid micro-grid in Somalia

Dolara, Alberto; Donadoni, E.; Leva, Sonia; Magistrati, G.; Marchegiani, G.

doi:10.1109/ptc.2017.7980867

Cited by 4 publications

(2 citation statements)

References 17 publications

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“…In step 5 , each solution is simulated Nsamp times under the uncertainty scenarios generated in step 4 . The algorithm performs a total of Nsamp × popSize simulations of the HPS in each generation of the GA.…”

Section: Hybrid Renewable Power Systems Modelsmentioning

confidence: 99%

“…Lately, driven by a power generation economic saving due to the contribution of Renewable Energy Sources (RES), the adoption of hybrid renewable power systems (e.g., photovoltaic modules, wind turbines) has been proposed in the literature [1]. These widely applied solutions [2][3][4] are usually combined with a battery energy storage system and fuel cell, to face the intrinsic intermittency of wind and solar generators [5,6].…”

Section: Introductionmentioning

confidence: 99%

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Hybrid Power System Optimization in Mission-Critical Communication

et al. 2020

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One of the common problems faced by Telecommunication (TLC) companies is the lack of power supply, usually for those appliances with scarce chances of grid connection often placed in remote zones. This issue is more and more critical if the radio network has the specific task of guaranteeing the so-called “mission-critical communications”. This manuscript aims to propose and assess a viable solution to optimize the power supply and maintenance operations required to assure the proper functionality in such critical and remote sites. In particular, the main goals are defining a method to select the critical sites in an extensive and composite radio system and designing the hybrid power system in a way to improve the service availability and technical-economic benefits of the whole mission-critical TLC system. Finally, the proposed method and related procedures are tested and validated in a real scenario.

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Section: Hybrid Renewable Power Systems Modelsmentioning

confidence: 99%