Abstract
With the strategy of “Emission Peak” and “Carbon Neutrality” proposed the transformation and reform of the energy system are imminent. Building a new power system mainly composed of renewable power is one of the most important measures to achieve the dual goals on carbon. The stability and reliability of the new power system have become the focus of attention. Therefore, it is necessary to minimize the impact of distributed generation integration on the power system and find out the optimal configuration model. By studying the working mechanism of distributed generation such as wind power generation, photovoltaic power generation and energy storage power supply, this paper studies and summarizes the working strategy and operation mode during distributed power grid-connected and islanded operation, and further designs the distributed generation integration model based on Colored Petri Net for optimization. By deducing the configuration optimization of the grid connection model from the grid connection access point, network loss and economy, the analysis logic of the optimal grid connection access point, optimal grid connection capacity and optimal configuration is finally output. The method deduction shows that the grid connection model provides a new grid connection optimization method for distributed generation grid connection, which makes up for the relative instability of traditional grid connection in power system.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others

References
Zhang, Y., Dai, Y.: Analysis on the uncertainty factors of pumped storage power station construction investment under the Chinese characteristic power market environment. In: IOP Conference Series: Earth and Environmental Science (2021)
Jia, L., Qin, Y., Suo, J., Feng, J., Diao, L., An, M. (eds.): EITRT 2017. LNEE, vol. 482. Springer, Singapore (2018). https://doi.org/10.1007/978-981-10-7986-3
Wu, F., Xu, G., Qi, Z., Qi, Z., Zhang, M., He, R.: Research on multi-level distribution strategy based on energy internet. In: E3S Web of Conferences (2021)
Shen, X.J., Zhang, Y., Chen, Sh.: Investigation of grid-connected photovoltaic generation system applied for Urban Rail Transit energy-savings. In: 2012 IEEE Industry Applications Society Annual Meeting (2012)
Liu, Z., Wu, N., Yang, F.: Petri net-based scheduling of time constrained single-arm cluster tools with wafer revisiting. Adv. Mech. Eng. 8 (2016)
Yang, F., Wu, N., Qiao, Y., Zhou, M.: Optimal scheduling of single-arm multi-cluster tools with two-space buffering modules. In: 2014 IEEE International Conference on Automation Science and Engineering (CASE) (2014)
Ai, C., Zhou, G., Wang, Y., Gao, W., Kong, X.: Active power control of hydraulic wind turbines during low voltage ride-through (LVRT) based on hierarchical control. Energies 12, 1224 (2019)
Chen, S., Ma, Y., Ma, L., Qiao, F., Yang, H.: Early warning of abnormal state of wind turbine based on principal component analysis and RBF neural network. In: 2021 6th Asia Conference on Power and Electrical Engineering (ACPEE) (2021)
Bai, D., Cao, H., Wang, L.: Research and simulation of V2G technology in micro grid. In: 2016 China International Conference on Electricity Distribution (CICED) (2016)
Tong, X., Yan, C., Wang, J., Yang, S., Tang, K., Li, C.: DC voltage follow-up control for mitigating the power fluctuation of distributed generation. In: IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society (2017)
Dong, X., Li, X., Cheng, S.: Energy management optimization of microgrid cluster based on multi-agent-system and hierarchical Stackelberg game theory. IEEE Access 8, 206183–206197 (2020)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 Springer Nature Switzerland AG
About this paper
Cite this paper
Chen, B., Han, Q., Xu, H., Guo, Y., Li, J., Song, T. (2022). Research on Grid-Connected Model of Distributed Generation Based on Colored Petri Net. In: Zhang, LJ. (eds) Edge Computing – EDGE 2021. EDGE 2021. Lecture Notes in Computer Science(), vol 12990. Springer, Cham. https://doi.org/10.1007/978-3-030-96504-4_4
Download citation
DOI: https://doi.org/10.1007/978-3-030-96504-4_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-96503-7
Online ISBN: 978-3-030-96504-4
eBook Packages: Computer ScienceComputer Science (R0)