Abstract
According to the number of loads on the closed-loop circuit in the power grid, this paper puts forward three ways to connect the distributed generation to the network. The first way is to add all the distributed generator nodes to the load with more loads on the closed-loop circuit, referred to as mode 1, The second mode is that all distributed generator nodes are added to the load with less load on the closed-loop loop, referred to as mode 2. The third mode is that distributed generator nodes are randomly connected to the load in the power grid, referred to as mode 3. In IEEE standard power system, Kuramoto model is used to simulate the synchronization dynamics of three distributed generation connection modes. The experimental results show that when distributed generation is connected in mode 2, the grid synchronization performance is better than the other two connection modes. From the topology parameters of the power grid structure, the synchronous dynamic behavior of the three DG access modes is analyzed. It is found that the more dispersed the generator distribution is, the easier the power system is to synchronize.
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References
Zhao, Y., Zhang, J., Tao, P., Wang, N.: Analysis of typical financing modes of new energy power generation enterprises. Technol. Econ. Guide 27(36), 217–218 (2019)
Li, F., Jun, L., Bo, L.: Demand response practice of Chongqing Power Grid under the background of clean energy consumption. Huadian Technol. 43(01), 71–75 (2021)
Qi, Q., Chen, F., Xu, T., Sun, X.: Improved neural network photovoltaic output prediction based on empirical mode decomposition. Appl. Sci. Technol. 47(03), 41–45 (2020)
Zhao, X.: Modeling Research on the impact of wind power photovoltaic clean energy on environmental pollution mitigation. Environ. Sci. Manage. 45(08), 187–190 (2020)
Du, Y., Ren, X.: Impact of grid connected photovoltaic power generation on power grid operation and countermeasures. China Steel Focus 07, 232–233 (2020)
Jian, F., Dandan, S.: Complex network theory and its application research on P2P networks. Appl. Math. Nonlinear Sci. 1(1), 45–52 (2016)
Tsiotas, D., Polyzos, S.: Analyzing the maritime transportation system in Greece: a complex network approach. Netw. Spat. Econ. 15(4), 981–1010 (2015)
Acebrón, J.A., Bonilla, L.L., Vicente, C.P.J., Ritort, F., Spigler, R.: A simple paradigm for synchronization phenomena: the Kuramoto model. Rev. Mod. Phys. 2005(77), 137–185 (2005)
Cai, L., Wei, X., Wang, J., et al.: Reconstruction of functional brain network in Alzheimer’s disease via cross-frequency phase synchronization. Neurocomputing 314, 490–500 (2018)
Acknowledgement
This work is supported by the Natural Science Foundation of Guangdong Province of China with the Grant No.2020A1515010784; Guangdong Youth Characteristic Innovation Project (2021KQNCX120), and Project of Guangdong Provincial Department of Education (2020KTSCX166).
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Wang, Y., Li, Z., Nie, J. (2022). Research on Power Grid Synchronization Under Three Access Modes of Distributed Generation. In: Li, K., Liu, Y., Wang, W. (eds) Exploration of Novel Intelligent Optimization Algorithms. ISICA 2021. Communications in Computer and Information Science, vol 1590. Springer, Singapore. https://doi.org/10.1007/978-981-19-4109-2_38
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DOI: https://doi.org/10.1007/978-981-19-4109-2_38
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