Charge/Discharge Scheduling of Electric Vehicles and Battery Energy Storage in Smart Building: a Mix Binary Linear Programming model

  • Zahra Foroozandeha
    Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development (GECAD), Polytechnic Institute of Porto, School of Engineering (ISEP), Porto
  • Sérgio Ramos
    Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development (GECAD), Polytechnic Institute of Porto, School of Engineering (ISEP), Porto scr[at]isep.ipp.pt
  • João Soares
    Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development (GECAD), Polytechnic Institute of Porto, School of Engineering (ISEP), Porto
  • Vale Zita
    Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development (GECAD), Polytechnic Institute of Porto, School of Engineering (ISEP), Porto
  • António Gomes
    Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development (GECAD), Polytechnic Institute of Porto, School of Engineering (ISEP), Porto

Abstract

Nowadays, the buildings have an important role on high demand of electricity energy. Therefore, the energy management of the buildings may have significant influence on reducing the electricity consumption. Moreover, Electric Vehicles (EVs) have been considering as a power storage devices in Smart Buildings (SBs) aiming to reduce the cost and consuming energy. Here, an energy management framework is proposed in which by considering the flexibility of the contracted power of each apartment, an optimal charging-discharging scheduled for EVs and Battery Energy Storage System (BESS) is defined over long time period to minimize the electricity cost of the building. The proposed model is design by a Mixed Binary Linear rogramming formulation (MBLP) that the charging and discharging of EVs as well as BESS in each period is treated as binary decision variables. In order to validate the model, a case study involving three scenarios are considered. The obtained results indicate a 15% reduction in total electricity consumption cost and consumption energy by the grid over a one year. Finally, the impact of capacity and charge/discharge rate of BESS on the power cost is analyzed and the optimal size of the BESS for assumed SB in the case study is also reported.
  • Referencias
  • Cómo citar
  • Del mismo autor
  • Métricas
Erdinc, O., Paterakis, N. G., Mendes, T. D. P., Bakirtzis, A. G., and P. S. Catalão, J., 2015. Smart Household Operation Considering Bi-Directional EV and ESS Utilization by Real-Time Pricing-Based DR. IEEE Transactions on Smart Grid, 6(3):1281–1291.

Foroozandeh, Z., Ramos, S., Soares, J., Vale, Z., and Dias, M., 2022. Single contract power optimization: A novel business model for smart buildings using intelligent energy management. International Journal of Electrical Power Energy Systems, 135:107534. ISSN 0142-0615. https://doi.org/10.1016/j.ijepes.2021.107534.

Fourer, R., Gay, D. M., and Kernighan, B. W., 1989. AMPL: A Mathematical Programing Language. In Wallace, S. W., editor, Algorithms and Model Formulations in Mathematical Programming, pages 150–151. Springer Berlin Heidelberg, Berlin, Heidelberg. ISBN 978-3-642-83724-1.

Haidar, N., Attia, M., Senouci, S.-M., Aglzim, E.-H., Kribeche, A., and Asus, Z. B., 2018. New consumer- dependent energy management system to reduce cost and carbon impact in smart buildings. Sustainable Cities and Society, 39:740–750. ISSN 2210-6707. https://doi.org/10.1016/j.scs.2017.11.033.

Jian, L., Zheng, Y., Xiao, X., and Chan, C. C., 2015. Optimal scheduling for vehicle-to-grid operation with stochastic connection of plug-in electric vehicles to smart grid. Applied Energy, 146:150–161. ISSN 0306-2619. https://doi.org/10.1016/j.apenergy.2015.02.030.

Joench, R. L., Soares, J., Lezama, F., Ramos, S., Gomes, A., and Vale, Z., 2019. A Short Review on Smart Building Energy Resource Optimization. In 2019 IEEE PES GTD Grand International Conference and Exposition Asia (GTD Asia), pages 440–445.

Van der Meer, D., Mouli, G. R. C., Elizondo, L. R., and Bauer, p., 2018. Energy Management System With PV Power Forecast to Optimally Charge EVs at the Workplace. IEEE Transactions on Industrial Informatics, 14:311–320.

Molina, D., Hubbard, C., Lu, C., Turner, R., and Harley, R., 2012. Optimal EV charge-discharge schedule in smart residential buildings. In IEEE Power and Energy Society Conference and Exposition in Africa: Intelligent Grid Integration of Renewable Energy Resources (PowerAfrica), pages 1–8.

Sabillón A., C. F., Franco, J. F., Rider, M. J., and Romero, R., 2015. A MILP model for optimal charging coordination of storage devices and electric vehicles considering V2G technology. In 2015 IEEE 15th International Conference on Environment and Electrical Engineering (EEEIC), pages 60–65.

Sortomme, E. and El-Sharkawi, M. A., 2011. Optimal Charging Strategies for Unidirectional Vehicle-to-Grid. IEEE Transactions on Smart Grid, 2(1):131–138.

Thomas, D., Deblecker, O., Bagheri, A., and Ioakimidis, C. S., 2016a. A scheduling optimization model for minimizing the energy demand of a building using electric vehicles and a micro-turbine. In 2016 IEEE International Smart Cities Conference (ISC2), pages 1–6.

Thomas, D., Deblecker, O., Genikomsakis, K., and Ioakimidis, C. S., 2017. Smart house operation under PV and load demand uncertainty considering EV and storage utilization. In IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, pages 3644–3649.

Thomas, D., Ioakimidis, C. S., Klonari, V., Vallée, F., and Deblecker, O., 2016b. Effect of electric vehicles’ optimal charging-discharging schedule on a building’s electricity cost demand considering low voltage network constraints. In 2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT- Europe), pages 1–6.

Wang, J., Liu, C., Ton, D., Zhou, Y., Kim, J., and Vyas, A., 2011. Impact of plug-in hybrid electric vehicles on power systems with demand response and wind power. Energy Policy, 39(7):4016–4021. ISSN 0301-4215. https://doi.org/10.1016/j.enpol.2011.01.042.

Zahra, F., Sérgio, R., Soares, J., Fernando, L., Zita, V., Antonio, G., and Rodrigo, L. J., 2020. A Mixed Binary Linear Programming Model for Optimal Energy Management of Smart Buildings. Energies, 13(7):1719. https://doi.org/10.3390/en13071719.
Foroozandeha, Z., Ramos, S., Soares, J., Zita, V., & Gomes, A. (2022). Charge/Discharge Scheduling of Electric Vehicles and Battery Energy Storage in Smart Building: a Mix Binary Linear Programming model. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 11(1), 81–96. https://doi.org/10.14201/adcaij.27904

Downloads

Download data is not yet available.
+