Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7157977 | Energy Conversion and Management | 2018 | 13 Pages |
Abstract
Hybrid photovoltaic-wind energy systems are being designed and implemented as stand-alone or grid connected generation systems, due to the need to use local, environmental friendly and low cost energy sources. In this study, a novel methodology to optimize the size of an autonomous hybrid photovoltaic-wind power system with battery storage is presented. A multi-objective optimization problem is considered with two objective functions, the total net present cost and a new reliability indicator called maximum expected energy not supplied, which is calculated using a probabilistic approach. The non-dominated sorting genetic algorithm-II was utilized to find the model solution. The results obtained with the presented methodology were compared with those from traditional methodologies, with the proposed methodology generating a set of feasible solutions, with respect to the system economy and reliability, which maximizes the use of renewable sources and reduces the size of the system backup.
Related Topics
Physical Sciences and Engineering
Energy
Energy (General)
Authors
Luceny Guzmán Acuña, Maree Lake, Ricardo Vasquez Padilla, Yee Yan Lim, Esneyder González Ponzón, Yen Chean Soo Too,