Steady-State Modeling and Power Flow Calculation of Integrated Electric-Gas Coupling Energy System Based on Energy Circuit Theory

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Recent Advances in Sustainable Energy and Intelligent Systems (LSMS 2021, ICSEE 2021)

Abstract

With the rapid development of P2G technology and gas turbine technology, the connection between the power system and natural gas system has become closer. Power flow calculation, as a basic application of energy network analysis, has formed mature but not uniform calculation models and methods in various energy networks. In order to promote the interdisciplinary integration of different energy networks, a new unified energy system model based on the unified energy loop theory is proposed in this paper. Particle Swarm Optimization algorithm (PSO) is used to numerically optimize the initial pressure, and the Newton method is used to solve the power flow of the electric-gas coupling integrated energy system. Finally, the feasibility and accuracy of the proposed method are verified in an electric-gas coupling system composed of the IEEE 14-node distribution system and 14-node natural gas system.

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Acknowledgments

This work was supported by Liaoning PhD Initial Scientific Research Fund (2020-BS-179), Liaoning Revitalization Talents Program (XLYC1907138), the Key R&D Program of Liaoning Province (2018220017, 2020JH2/10300101), the Natural Science Foundation of Liaoning Province (2019-MS-239), the Scientific Research Fund of Liaoning Provincial Education Department (JL-1901, JL-2021), the Technology Innovation Talent Fund of Shenyang (RC190360, RC200252) and Liaoning BaiQianWan Talents Program.

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Liu, S., Yin, X., Zhao, Y., Wang, D. (2021). Steady-State Modeling and Power Flow Calculation of Integrated Electric-Gas Coupling Energy System Based on Energy Circuit Theory. In: Li, K., Coombs, T., He, J., Tian, Y., Niu, Q., Yang, Z. (eds) Recent Advances in Sustainable Energy and Intelligent Systems. LSMS ICSEE 2021 2021. Communications in Computer and Information Science, vol 1468. Springer, Singapore. https://doi.org/10.1007/978-981-16-7210-1_6

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  • DOI: https://doi.org/10.1007/978-981-16-7210-1_6

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  • Online ISBN: 978-981-16-7210-1

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