AUTOR DO BLOG ENG.ARMANDO CAVERO MIRANDA SÃO PAULO BRASIL

"OBRIGADO DEUS PELA VIDA,PELA MINHA FAMILIA,PELO TRABALHO,PELO PÃO DE CADA DIA,PROTEGENOS DO MAL"

"OBRIGADO DEUS PELA VIDA,PELA MINHA FAMILIA,PELO TRABALHO,PELO PÃO DE CADA DIA,PROTEGENOS  DO MAL"

“SE SEUS PROJETOS FOREM PARA UM ANO,SEMEIE O GRÂO.SE FOREM PARA DEZ ANOS,PLANTE UMA ÁRVORE.SE FOREM PARA CEM ANOS,EDUQUE O POVO.”

“Sixty years ago I knew everything; now I know nothing; education is a progressive discovery of our own ignorance. Will Durant”

sexta-feira, 12 de abril de 2024

Optimal sizing of a wind/solar/battery hybridgrid-connected microgrid system-BY-Umer Akram, Muhammad Khalid, Saifullah Shafiq, Department of Electrical Engineering, King Fahd University of Petroleum & Minerals (KFUPM), Dhahran 31261, Saudi Arabia


 IET Renewable Power GenerationResearch ArticleOptimal sizing of a wind/solar/battery hybridgrid-connected microgrid system Umer Akram1 , Muhammad Khalid1, Saifullah Shafiq1 1Department of Electrical Engineering, King Fahd University of Petroleum & Minerals (KFUPM), Dhahran 31261, Saudi Arabia E-mail: g201512930@kfupm.edu.sa

 Abstract: Higher cost and stochastic nature of intermittent renewable energy (RE) resources complicate their planning,integration and operation of electric power system. Therefore, it is critical to determine the appropriate sizes of RE sources andassociated energy storage for efficient, economic and reliable operation of electric power system. In this study, two constraint-based iterative search algorithms are proposed for optimal sizing of the wind turbine (WT), solar photovoltaic (PV) and thebattery energy storage system (BESS) in the grid-connected configuration of a microgrid. The first algorithm, named as sourcessizing algorithm, determines the optimal sizes of RE sources while the second algorithm, called as battery sizing algorithm,determines the optimal capacity of BESS. These algorithms are mainly based upon two key essentials, i.e. maximum reliabilityand minimum cost. The proposed methodology aims to avoid over- and under-sizing by searching every possible solution in thegiven search space. Moreover, it considers the forced outage rates of PV, WT and utilisation factor of BESS which makes itmore realistic. Simulation results depict the effectiveness of the proposed approach.

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