TY - GEN
T1 - A viability study of renewables and energy storage systems using multicriteria decision making and an evolutionary approach
AU - Marcelino, Carolina G.
AU - Pedreira, Carlos E.
AU - Baumann, Manuel
AU - Weil, Marcel
AU - Almeida, Paulo E.M.
AU - Wanner, Elizabeth F.
PY - 2019/2/3
Y1 - 2019/2/3
N2 - Renewable energy technologies use natural sources, such as wind and solar, to produce electricity. Nowadays, there is a global sustainable electric power generation pressure to alleviate environmental impacts caused by the usage of fossil fuels. Energy market is focused on improving those technologies by meeting customer needs, but it proves to be challenging. Renewable power production integrated with a Hybrid Micro-Grid System (HMGS), a power distribution system composed of one or more distributed sources, may provide a reliable and cost-effective solution. This paper proposes a grid-connected HMGS model able of planning energy production and operating in parallel autonomously or connected on a public grid. The optimization of such HMGS is done using a swarm evolutionary approach and the results are obtained using different battery technologies. A life cycle assessment model and a multi-criteria decision making approach are carried out to perform a viability study of the battery technologies. Wind and solar meteorological data from four regions in the Minas Gerais state, Brazil, were used as input for the model. Results show that lithium ion batteries are the most recommendable ones, ensuring not only the minimal cost and losses in the system but also minimizing the environmental impact.
AB - Renewable energy technologies use natural sources, such as wind and solar, to produce electricity. Nowadays, there is a global sustainable electric power generation pressure to alleviate environmental impacts caused by the usage of fossil fuels. Energy market is focused on improving those technologies by meeting customer needs, but it proves to be challenging. Renewable power production integrated with a Hybrid Micro-Grid System (HMGS), a power distribution system composed of one or more distributed sources, may provide a reliable and cost-effective solution. This paper proposes a grid-connected HMGS model able of planning energy production and operating in parallel autonomously or connected on a public grid. The optimization of such HMGS is done using a swarm evolutionary approach and the results are obtained using different battery technologies. A life cycle assessment model and a multi-criteria decision making approach are carried out to perform a viability study of the battery technologies. Wind and solar meteorological data from four regions in the Minas Gerais state, Brazil, were used as input for the model. Results show that lithium ion batteries are the most recommendable ones, ensuring not only the minimal cost and losses in the system but also minimizing the environmental impact.
KW - Evolutionary swarm
KW - Life Cycle Assessment
KW - Multicriteria decision making
KW - Optimization
KW - Renewable energy
KW - Smart grids
UR - http://www.scopus.com/inward/record.url?scp=85063034538&partnerID=8YFLogxK
UR - https://link.springer.com/chapter/10.1007%2F978-3-030-12598-1_52
U2 - 10.1007/978-3-030-12598-1_52
DO - 10.1007/978-3-030-12598-1_52
M3 - Conference publication
AN - SCOPUS:85063034538
SN - 9783030125974
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 655
EP - 668
BT - Evolutionary Multi-Criterion Optimization - 10th International Conference, EMO 2019, Proceedings
A2 - Miettinen, Kaisa
A2 - Mostaghim, Sanaz
A2 - Klamroth, Kathrin
A2 - Coello Coello, Carlos A.
A2 - Reed, Patrick
A2 - Deb, Kalyanmoy
A2 - Goodman, Erik
PB - Springer
T2 - 10th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2019
Y2 - 10 March 2019 through 13 March 2019
ER -