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International Journal of Research -GRANTHAALAYAH
Article . 2018 . Peer-reviewed
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Article . 2018
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ZENODO
Article . 2018
License: CC BY
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ENERGY MANAGEMENT AND ACTIVE POWER CONTROL OF A HYDRID DISTRIBUTED GENERATION USING GENETIC ALGORITHM

Authors: Olulope P.K *1;

ENERGY MANAGEMENT AND ACTIVE POWER CONTROL OF A HYDRID DISTRIBUTED GENERATION USING GENETIC ALGORITHM

Abstract

The possibility of meeting the load demands and manage the energy of Okesha, Ado-Ekiti, Ekiti State, Nigeria using a hybrid system of power generation consisting of Wind/Solar PV energy sources in conjunction with the battery energy storage (Fuel cells) which act as a backup to the system is presented. The control mechanism is done through the use of genetic algorithm to optimally allocate the load and to control the charging and discharging of the battery. The results shows that the hybrid energy system through the control mechanism was able manage the energy generated so as to provide sufficient power to meet the optimum needs of the citizen of Okesha area in Ado Ekiti.

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Keywords

Genetic Algorithm; Hybrid Power System; Wind Power; Solar PV Power and Fuel Cell.

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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