Abstract
Self-sufficient energy systems such as isolated microgrid have been used in rural areas to generate electrical energy. This study aims to investigate the impact of controllable loads on the optimal capacity configuration for an isolated microgrid formed from renewable resources and a hybrid energy storage system (HESS), which contains battery and supercapacitor. To find the optimal design of the proposed system, a mathematical model for minimizing life cycle cost (LCC) is proposed for a given level of reliability. In particular, the total life cycle cost is minimized while keeping the reliability index defined as loss of power supply probability (LPSP), within the required limits in addition to the other constraints. The simulation results for the system are analyzed by considering the different levels of LPSP. The analysis shows that the availability of controllable loads affects the life cycle cost of the isolated microgrid system positively.
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
References
Wang, X., Li, N., Sun, W., Xu, S., Zhang, Z.: Quantitative analysis of distributed and centralized development of renewable energy. Global Energy Interconnection 1, 576–584 (2018)
Hemmati, R., Saboori, H.: Emergence of hybrid energy storage systems in renewable energy and transport applications - a review. Renew. Sustain. Energy Rev. 65, 11–23 (2016)
Hajiaghasi, S., Salemnia, A., Hamzeh, M.: Hybrid energy storage system for microgrids applications: a review. J. Energy Storage 21, 543–570 (2019)
Fathima, A.H., Palanisamy, K.: Optimization in microgrids with hybrid energy systems - a review. Renew. Sustain. Energy Rev. 45, 431–446 (2015)
Adefarati, T., Bansal, R.C.: Reliability, economic and environmental analysis of a microgrid system in the presence of renewable energy resources. Appl. Energy 236, 1089–1114 (2019)
Abbes, D., Martinez, A., Champenois, G.: Eco-design optimisation of an autonomous hybrid wind-photovoltaic system with battery storage. IET Renew. Power Gener. 6, 358–371 (2012)
Diab, A.A.Z., Sultan, H.M., Mohamed, I.S., Kuznetsov, O.N., Do, T.D.: Application of different optimization algorithms for optimal sizing of pv/wind/diesel/battery storage stand-alone hybrid microgrid. IEEE Access 7, 119223–119245 (2019)
Wang, S., Li, Z., Wu, L., Shahidehpour, M., Li, Z.: New metrics for assessing the reliability and economics of microgrids in distribution system. IEEE Trans. Power Syst. 28, 2852–2861 (2013)
Baharozu, E., Soykan, G.: Economic and environmental evaluation of a designed smart micro-grid system in Turkey. In: 4th International Istanbul Smart Grid Congress and Fair (ICSG), pp. 1–4. IEEE (2016)
Costa, P.M., Matos, A.M.: Economic analysis of microgrids including reliability aspects. In: 9th International Conference on Probabilistic Methods Applied to Power Systems, pp. 1–8. IEEE (2006)
Homayouini, F., Roshandel, R., Hamidi, A.A.: Sizing and performance analysis of standalone hybrid photo-voltaic/battery/hydrogen storage technology power generation systems based on the energy hub concept. Int. J. Green Energy 14, 121–134 (2017)
Liu, Z., Chen, Y., Zhuo, R., Jia, H.: Energy storage capacity optimization for autonomy microgrid considering CHP and EV scheduling. Appl. Energy 210, 1113–1125 (2018)
Jacob, A.S., Banerjee, R., Ghosh, P.C.: Sizing of hybrid energy storage system for a PV based microgrid through design space approach. Appl. Energy 212, 640–653 (2018)
Wang, H., Wang, T., Xie, X., Ling, Z., Gao, G., Dong, X.: Optimal capacity configuration of a hybrid energy storage system for an isolated microgrid using quantum-behaved particle swarm optimization. Energies 11, 453–467 (2018)
Zhang, W., Maleki, A., Rosen, M.A., Liu, J.: Optimization with a simulated annealing algorithm of a hybrid system for renewable energy including battery and hydrogen storage. Energy 163, 191–207 (2018)
Logenthiran, T., Srinivasan, D., Khambadkone, A., Raj, T.S.: Optimal sizing of an islanded microgrid using evolutionary strategy. In: 2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems, pp. 12–17. IEEE (2010)
Soykan, G., Er, G., Canakoglu, E.: Evaluation of the effect of weather conditions on optimal sizing of an isolated microgrid. In: 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I CPS Europe), pp. 1–6 (2020)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Er, G., Soykan, G., Canakoglu, E., Bektas, R.T., Sahin, Y., Erdogan, B. (2021). Evaluation of the Impact of Controllable Load Condition on Optimal Sizing of an Isolated Microgrid. In: Allahviranloo, T., Salahshour, S., Arica, N. (eds) Progress in Intelligent Decision Science. IDS 2020. Advances in Intelligent Systems and Computing, vol 1301. Springer, Cham. https://doi.org/10.1007/978-3-030-66501-2_13
Download citation
DOI: https://doi.org/10.1007/978-3-030-66501-2_13
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-66500-5
Online ISBN: 978-3-030-66501-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)