Abstract
This paper presented an energy management model for managing an active distribution network (ADN) consisting of multiple microgrids. The distribution system operator (DSO) of the ADN needs to coordinate the microgrids to achieve optimal energy management. This paper formulated the energy management of ADN with multiple microgrids as a mixed integer second-order cone programming (MISOCP), which considered network reconfiguration, on-load tap changer (OLTC) and static Var compensators (SVC). A case study on a modified IEEE 33-bus distribution network demonstrates the effectiveness of the proposed method.
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
Feng, C., Li, Z., Shahidehpour, M., Wen, F., Liu, W., Wang, X.: Decentralized short-term voltage control in active power distribution systems. IEEE Trans. Smart Grid 9, 4566–4576 (2017)
Koutsoukis, N.C., Siagkas, Di.O., Georgilakis, P.S., Hatziargyriou, N.D.: Online reconfiguration of active distribution networks for maximum integration of distributed generation. IEEE Trans. Autom. Sci. Eng. 14(2), 437–448 (2017)
Li, Z., Shahidehpour, M., Aminifar, F., Alabdulwahab, A., Al-Turki, Y.: Networked microgrids for enhancing the power system resilience. Proc. IEEE 105(7), 1289–1310 (2017)
Wang, H., Huang, J.: Incentivizing energy trading for interconnected microgrids. IEEE Trans. Smart Grid 9, 2647–2657 (2016)
Ma, W.-J., Wang, J., Gupta, V., Chen, C.: Distributed energy management for networked microgrids using online alternating direction method of multipliers with regret. IEEE Trans. Smart Grid 9, 847–856 (2016)
Liu, T., et al.: Energy management of cooperative microgrids: a distributed optimization approach. Int. J. Electr. Power Energy Syst. 96, 335–346 (2018)
Liu, Y., et al.: Distributed robust energy management of a multi-microgrid system in the real-time energy market. IEEE Trans. Sustain. Energy 10, 396–406 (2017)
Malekpour, A.R., Pahwa, A.: Stochastic networked microgrid energy management with correlated wind generators. IEEE Trans. Power Syst. 32(5), 3681–3693 (2017)
Qi, C., et al.: A decentralized optimal operation of AC/DC hybrid distribution grids. IEEE Trans. Smart Grid 9, 6095–6105 (2017)
Wu, L.: A transformation-based multi-area dynamic economic dispatch approach for preserving information privacy of individual areas. IEEE Trans. Smart Grid 10, 722–731 (2017)
Gregoratti, D., Matamoros, J.: Distributed energy trading: the multiple-microgrid case. IEEE Trans. Ind. Electron. 62(4), 2551–2559 (2015)
Baran, M.E., Wu, F.F.: Network reconfiguration in distribution systems for loss reduction and load balancing. IEEE Trans. Power Deliv. 4(2), 1401–1407 (1989)
Setiasih, Suyatno, T.: The effect of product mix and lifestyle toward the amount money spent mediated by marketing strategy. Int. J. Adv. Sci. Technol. 120, 97–110 (2018)
Chen, Y., Tang, Z.: Speaker recognition of noisy short utterance based on speech frame quality discrimination and three-stage classification model. Int. J. Control Autom. 8(3), 135–146 (2015)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Zhao, Y., Yu, J. (2020). Modified-Energy Management of Multiple Microgrid. In: Gao, H., Li, K., Yang, X., Yin, Y. (eds) Testbeds and Research Infrastructures for the Development of Networks and Communications. TridentCom 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 309. Springer, Cham. https://doi.org/10.1007/978-3-030-43215-7_7
Download citation
DOI: https://doi.org/10.1007/978-3-030-43215-7_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-43214-0
Online ISBN: 978-3-030-43215-7
eBook Packages: Computer ScienceComputer Science (R0)