Abstract
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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Levron, Y., Guerrero, J.M., Beck, Y.: Optimal power flow in microgrids with energy storage. IEEE Trans. Power Syst. 28(3), 3226–3234 (2013)
Mohammadi, M., Hosseinian, S., Gharehpetian, G.: Optimization of hybrid solar energy sources/wind turbine systems integrated to utility grids as microgrid (MG) under pool/bilateral/hybrid market using PSO. Sol. Energy 86, 112–125 (2012)
Borhanazad, H., Mekhilef, S., Ganapathy, V., et al.: Optimization of micro-grid system using MOPSO. Renewable Energy 71, 295–306 (2014)
Barelli, L., Bidini, G., Bonucci, F.: A micro-grid operation analysis for cost-effective battery energy storage and RES plants integration. Energy 113, 831–844 (2016)
Moghaddam, A., Seifi, A., Niknam, T., Pahlavani, M.: Multi-objective operation management of a renewable MG (micro-grid) with back-up micro-turbine/fuel cell/battery hybrid power source. Energy 36, 6490–6507 (2011)
Marcelino, C., Baumann, M., Carvalho, L., et al.: A combined optimization and decision-making approach for battery-supported HMGS. JORS, Accepted 2018
Marcelino, C.G., Almeida, P.E.M., Wanner, E.F., et al.: Solving security constrained optimal power flow problems: a hybrid evolutionary approach. Appl. Intell. 48, 3672–3690 (2018). https://doi.org/10.1007/s10489-018-1167-5
CEMIG: Atlas eólico de minas gerais. Technical report (2010)
SoDa: Time series of solar radiation data - for free (2016). http://www.soda-pro.com/
Baumann, M., Marcelino, C., Peters, J., et al.: Environmental impacts of different battery technologies in renewable hybrid micro-grids. In: ISGT Europe, pp. 1–6 (2017)
Baumann, M., Peters, J., Weil, M., et al.: CO2 footprint and life cycle costs of electrochemical energy storage for stationary grid applications. Energy Technol. 5, 1071–1083 (2016)
Peters, J., Baumann, M., Zimmermann, B., Braun, J., Weil, M.: The environmental impact of Li-Ion batteries and the role of key parameters - a review. Renew. Sustain. Energy Rev. 67, 491–506 (2017)
Kemptin, W., Tomic, J.: Vehicle-to-grid power fundamentals: calculating capacity and net revenue. J. Power Sources 144, 268–279 (2005)
Baños, R., et al.: Optimization methods applied to renewable and sustainable energy: a review. Renew. Sustain. Energy Rev. 15, 1753–1766 (2011)
Saaty, T.L.: The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. RWS Publications, Pittsburgh (1990)
Hwang, C.-L., Yoon, K.: Multiple Attribute Decision Making: Methods and Applications; A State-of-the-Art-Survey, p. 1981. Springer, Berlin (1981). https://doi.org/10.1007/978-3-642-48318-9
Zaidan, A.A., Zaidan, B.B., Al-Haiqi, A., Kiah, M.L.M., Hussain, M., Abdulnabi, M.: Evaluation and selection of open-source EMR software packages based on integrated AHP and TOPSIS. J. Biomed. Inform. 53, 390–404 (2015)
Chakladar, N.D., Chakraborty, S.: A combined TOPSIS-AHP-method-based approach for non-traditional machining processes selection. J. Eng. Manuf. 12, 1613–1623 (2008)
Aguaron, J., Moreno-Jimenez, J.M.: The geometric consistency index: approximated thresholds. Eur. J. Oper. Res. 147, 137–145 (2003)
Garcia-Cascalesa-Cascales, M.S., Lamata, M.T.: On rank reversal and TOPSIS method. Math. Comput. Model. 56(5–6), 123–132 (2012)
Finnveden, G., et al.: Recent developments in life cycle assessment. J. Environ. Manag. 91, 1–21 (2009)
Acknowledgement
The authors would like to thank Brazilian research foundations CAPES, CNPq, FAPERJ, FAPEMIG and Helmholtz-Project Energy System 2050.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Marcelino, C.G., Pedreira, C.E., Baumann, M., Weil, M., Almeida, P.E.M., Wanner, E.F. (2019). A Viability Study of Renewables and Energy Storage Systems Using Multicriteria Decision Making and an Evolutionary Approach. In: Deb, K., et al. Evolutionary Multi-Criterion Optimization. EMO 2019. Lecture Notes in Computer Science(), vol 11411. Springer, Cham. https://doi.org/10.1007/978-3-030-12598-1_52
Download citation
DOI: https://doi.org/10.1007/978-3-030-12598-1_52
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-12597-4
Online ISBN: 978-3-030-12598-1
eBook Packages: Computer ScienceComputer Science (R0)