Abstract
In order to solve the problem of carbon emissions in substations, a substation-microgrids system with microgrids as the source side and substations as the load side is proposed. Firstly, a mathematical model of the proposed substation-microgrids system is established, with wind and photovoltaic power generation in the microgrids as the main power supply of the system. Then, the electric energy storage in traditional uninterruptible power supply (UPS) system is replaced by a hydrogen energy storage system, and electric vehicles (EV) is introduced for orderly charging. Finally, in order to verify the effectiveness of the proposed substation-microgrids system, a multi scenario comparative analysis is conducted based on the Cplex solver. The simulation results show that the proposed model not only effectively reduces carbon emissions, but also achieves energy cascade utilization and reduces the system's wind power and photovoltaic power curtailment rate.
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
Huang, J., Sun, Z., **e, H.: Optimal substation capacity planning method in high-density load areas considering renewable energy. Energy Rep. 9, 1520–1530 (2023)
Popović, L.M.: Preliminary testing and assessment of safety conditions of HV substations located in urban areas. Electric Power Syst. Res. 195, 107111 (2021)
Yang, P., Peng, S., Benani, N.: An integrated evaluation on China's provincial carbon peak and carbon neutrality. J. Cleaner Production 377, 134497 (2022)
Li, H., Zhao, R., Lu, J.: Energy management method for microgrids based on improved Stackelberg game real-time pricing model. Energy Rep. 9, 1247–1257 (2023)
Huang, Y.: Study of wind-photovoltaic-hydro joint dispatch based on multi-objective cuckoo search algorithm **'an University of Technology (2017). (in Chinese)
Zhan, H., He, L., Huang, Z.: Improved hierarchical distance-based gene expression programming feature selection classification algorithm. Comput. Appli. 41(09), 2658–2667 (2021). (in Chinese)
Liu, Y., Guo, L., Wang, C.: Economic dispatch of microgrids based on two stage robust optimization. Proc. CSEE 38(14), 1–11 (2018). (in Chinese)
 Cong, O., Liu, M.: Computing of accommodation capacity of grid-integrated photovoltaic generation considering network's transmission constraints. Power Syst. Protection Control 44(05),17–23 (2016). (in Chinese)
Yu, X., Zhang, P., Liu, Z.: Development and maximum accommodating capacity of wind power in Bei**g power grid. Electric Power Construction 36(08), 49–54 (2015). (in Chinese)
Liu, W.: Discussion on application prospect of new energy as station-use electric source in converter station. East China Electric Power 38(11),1712–1713 (2010). (in Chinese)
Chen, W., Ai, X., Wu, T.: Influence of grid-connected photovoltaic system on power network. Electric Power Autom. Equip. 33(2), 26–32 (2013). (in Chinese)
Acknowledgments
This research is funded by the science and technology project of State Grid Fujian Electric Power Co., LTD of China (Research on the application of green and low carbon technology and carbon emission reduction benefit in power transmission and transformation projects under the new power system, No. 52130N23000Q).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 Bei**g Paike Culture Commu. Co., Ltd.
About this paper
Cite this paper
Wang, C. et al. (2024). Research on Low-Carbon Operation of Substation Power Supply System Based on Microgrids. In: Cai, C., Qu, X., Mai, R., Zhang, P., Chai, W., Wu, S. (eds) The Proceedings of 2023 International Conference on Wireless Power Transfer (ICWPT2023). ICWPT 2023. Lecture Notes in Electrical Engineering, vol 1160. Springer, Singapore. https://doi.org/10.1007/978-981-97-0865-9_51
Download citation
DOI: https://doi.org/10.1007/978-981-97-0865-9_51
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-97-0864-2
Online ISBN: 978-981-97-0865-9
eBook Packages: EngineeringEngineering (R0)