Optimal Operation Method for Electricity–Heat Integrated Energy System Considering Vulnerability Prevention
Publication: Journal of Energy Engineering
Volume 149, Issue 6
Abstract
The increasing integration of electricity and heating networks escalates the operation risk of an integrated energy system (IES). The vulnerable components in IES, which play an important role of aggravating the spread of IES failures, is one of the most important parts of risk control for IES operation. To ensure the operation security and stability of IES, an operation optimization method considering the vulnerability prevention for an electricity–heat IES is proposed in this paper. The method contains two main stages: vulnerability identification and optimal operation. First, the IES cascading failure space-time graph (CFSTG) is formed by simulating the cascading failure development stages in IES, which can effectively measure the impact of vulnerable branches on the cascading failure depth and breadth. Then, the vulnerable branches of IES are initially identified based on indices of node degree calculated according to CFSTG. In order to further screen and correct the initial identification results, a prevention–correction hybrid control strategy is proposed. On this basis, a day-ahead optimal operation bilevel model is established. Overall IES operating cost and static security are taken into account in the outer layer of the model to optimize electricity and heat output of each energy hub. After obtaining a multiobjective optimal energy flow distribution of IES, the inner layer of the model is developed to optimize the output of each unit in the energy hubs. Finally, an IES test system is utilized as an example to verify the effectiveness of the proposal method.
Get full access to this article
View all available purchase options and get full access to this article.
Data Availability Statement
Some models or code that support the findings of this study, specifically, the code for the bilevel optimal operation model (Model 15 to Model 30) is available from the corresponding author upon reasonable request.
Acknowledgments
This work was supported in part by the National Natural Science Foundation of China (No. 52107099), China Postdoctoral Science Foundation (Nos. 2021M690810 and 2022T150152), and the Science and Technology Project of State Grid Jiangsu Electric Power Co. Ltd. (No. J2021186).
References
Antenucci, A., and G. Sansavini. 2018. “Adequacy and security analysis of interdependent electric and gas networks.” Proc. Inst. Mech. Eng., Part O: J. Risk Reliab. 232 (2): 121–139. https://doi.org/10.1177/1748006X17715953.
Chen, S., Z. Wei, G. Sun, W. Wei, and D. Wang. 2019. “Convex hull based robust security region for electricity-gas integrated energy systems.” IEEE Trans. Power Syst. 34 (3): 1740–1748. https://doi.org/10.1109/TPWRS.2018.2888605.
Eladl, A. A., M. I. El-Afifi, M. A. Saeed, and M. M. El-Saadawi. 2020. “Optimal operation of energy hubs integrated with renewable energy sources and storage devices considering emissions.” Int. J. Electr. Power Energy Syst. 117 (May): 105719. https://doi.org/10.1016/j.ijepes.2019.105719.
Fang, R., R. Shang, Y. Wang, and X. Guo. 2017. “Identification of vulnerable lines in power grids with wind power integration based on a weighted entropy analysis method.” Int. J. Hydrogen Energy 42 (31): 20269–20276. https://doi.org/10.1016/j.ijhydene.2017.06.039.
Fu, X., Q. Guo, H. Sun, X. Zhang, and L. Wang. 2017. “Estimation of the failure probability of an integrated energy system based on the first order reliability method.” Energy 134 (Sep): 1068–1078. https://doi.org/10.1016/j.energy.2017.06.090.
He, C., L. Wu, T. Liu, and Z. Bie. 2018. “Robust co-optimization planning of interdependent electricity and natural gas systems with a joint N-1 and probabilistic reliability criterion.” IEEE Trans. Power Syst. 33 (2): 2140–2154. https://doi.org/10.1109/TPWRS.2017.2727859.
Li, X., G. Tian, Q. Shi, T. Jiang, F. Li, and H. Jia. 2020. “Security region of natural gas network in electricity-gas integrated energy system.” Int. J. Electr. Power Energy Syst. 117 (May): 105601. https://doi.org/10.1016/j.ijepes.2019.105601.
Liu, T., D. Zhang, H. Dai, and T. Wu. 2019. “Intelligent modeling and optimization for smart energy hub.” IEEE Trans. Ind. Electron. 66 (12): 9898–9908. https://doi.org/10.1109/TIE.2019.2903766.
Liu, X., J. Wu, N. Jenkins, and A. Bagdanavicius. 2016. “Combined analysis of electricity and heat networks.” Appl. Energy 162 (Jan): 1238–1250. https://doi.org/10.1016/j.apenergy.2015.01.102.
Manshadi, S. D., and M. E. Khodayar. 2015. “Resilient operation of multiple energy carrier microgrids.” IEEE Trans. Smart Grid 6 (5): 2283–2292. https://doi.org/10.1109/TSG.2015.2397318.
Mei, F., J. Zhang, J. Lu, J. Lu, Y. Jiang, J. Gu, K. Yu, and L. Gan. 2020. “Stochastic optimal operation model for a distributed integrated energy system based on multiple-scenario simulations.” Energy 219 (Mar): 119629. https://doi.org/10.1016/j.energy.2020.119629.
Pan, Y., F. Mei, C. Zhou, T. Shi, and J. Zheng. 2019. “Analysis on integrated energy system cascading failures considering interaction of coupled heating and power networks.” IEEE Access 7 (Jul): 89752–89765. https://doi.org/10.1109/ACCESS.2019.2926629.
Pan, Z. G., Q. L. Guo, and H. B. Sun. 2016. “Interactions of district electricity and heating systems considering time-scale characteristics based on quasi-steady multi-energy flow.” Appl. Energy 167 (Jun): 230–243. https://doi.org/10.1016/j.apenergy.2015.10.095.
Pan, Z. G., Q. L. Guo, and H. B. Sun. 2017. “Feasible region method based integrated heat and electricity dispatch considering building thermal inertia.” Appl. Energy 192 (Apr): 395–407. https://doi.org/10.1016/j.apenergy.2016.09.016.
Qadrdan, M., J. Wu, N. Jenkins, and J. Ekanayake. 2014. “Operating strategies for a GB integrated gas and electricity network considering the uncertainty in wind power forecasts.” IEEE Trans. Sustainable Energy 5 (1): 128–138. https://doi.org/10.1109/TSTE.2013.2274818.
Sun, G., W. Wang, X. Lu, Y. Wu, W. Hu, Z. Yang, and Z. Wei. 2020. “Rapid energy flow calculation method for integrated electrical and thermal systems.” Int. J. Electr. Power Energy Syst. 123 (Dec): 106317. https://doi.org/10.1016/j.ijepes.2020.106317.
Wang, J., H. Zhong, Z. Ma, Q. Xia, and C. Kang. 2017. “Review and prospect of integrated demand response in the multi-energy system.” Appl. Energy 202 (Sep): 772–782. https://doi.org/10.1016/j.apenergy.2017.05.150.
Wang, T., Y. M. Liu, and X. P. Gu. 2019. “Vulnerable lines identification of power grid based on cascading fault space-time graph.” Proc. CSEE 39 (20): 5962–5972. https://doi.org/10.13334/j.0258-8013.pcsee.181730.
Wang, Y., C. Jiang, F. Wen, Y. Xue, F. Chen, L. Zhang, and X. Yuan. 2021. “Energy trading and management strategies in a regional integrated energy system with multiple energy carriers and renewable-energy generation.” J. Energy Eng. 147 (1): 04020076. https://doi.org/10.1061/(ASCE)EY.1943-7897.0000726.
Wei, X., S. Gao, T. Huang, E. Bompard, R. Pi, and T. Wang. 2019. “Complex network-based cascading faults graph for the analysis of transmission network vulnerability.” IEEE Trans. Ind. Inf. 15 (3): 1265–1276. https://doi.org/10.1109/TII.2018.2840429.
Wei, X., J. Zhao, T. Huang, and E. Bompard. 2018. “A novel cascading faults graph based transmission network vulnerability assessment method.” IEEE Trans. Power Syst. 33 (3): 2995–3000. https://doi.org/10.1109/TPWRS.2017.2759782.
Wenli, F., Z. Xuemin, M. Shengwei, H. Shaowei, W. Wei, and D. Lijie. 2018. “Vulnerable transmission line identification using ISH theory in power grids.” IET Gener. Transm. Distrib. 12 (4): 1014–1020. https://doi.org/10.1049/iet-gtd.2017.0571.
Widl, E., T. Jacobs, D. Schwabeneder, S. Nicolas, D. Basciotti, S. Henein, T. G. Noh, O. Terreros, A. Schuelke, and H. Auer. 2018. “Studying the potential of multi-carrier energy distribution grids: A holistic approach.” Energy 153 (Jun): 519–529. https://doi.org/10.1016/j.energy.2018.04.047.
Xu, Y., Z. Y. Dong, R. Zhang, K. P. Wong, and M. Lai. 2014. “Solving preventive-corrective SCOPF by a hybrid computational strategy.” IEEE Trans. Power Syst. 29 (3): 1345–1355. https://doi.org/10.1109/TPWRS.2013.2293150.
Xu, Y., H. Yang, R. Zhang, Z. Y. Dong, M. Lai, and K. P. Wong. 2016. “A contingency partitioning approach for preventive-corrective security-constrained optimal power flow computation.” Electr. Power Syst. Res. 132 (Mar): 132–140. https://doi.org/10.1016/j.epsr.2015.11.012.
Yan, C., Z. H. Bie, C. Wang, and C. X. Wang. 2019. “Risk assessment studies for new generation energy system.” Power Syst. Technol. 43 (1): 12–22. https://doi.org/10.13335/j.1000-3673.pst.2018.2482.
Zeng, Q., J. Fang, J. Li, and Z. Chen. 2016. “Steady-state analysis of the integrated natural gas and electric power system with bi-directional energy conversion.” Appl. Energy 184 (Dec): 1483–1492. https://doi.org/10.1016/j.apenergy.2016.05.060.
Zhai, C., G. Xiao, M. Meng, H. Zhang, and B. Li. 2021. “Identification of catastrophic cascading failures in protected power grids using optimal control.” J. Energy Eng. 147 (1): 06020001. https://doi.org/10.1061/(ASCE)EY.1943-7897.0000731.
Zhang, X., M. Shahidehpour, A. Alabdulwahab, and A. Abusorrah. 2015. “Optimal expansion planning of energy hub with multiple energy infrastructures.” IEEE Trans. Smart Grid 6 (5): 2302–2311. https://doi.org/10.1109/TSG.2015.2390640.
Information & Authors
Information
Published In
Journal of Energy Engineering
Volume 149 • Issue 6 • December 2023
Copyright
© 2023 American Society of Civil Engineers.
History
Received: Nov 21, 2022
Accepted: Apr 20, 2023
Published online: Aug 26, 2023
Published in print: Dec 1, 2023
Discussion open until: Jan 26, 2024
ASCE Technical Topics:
- Analysis (by type)
- Continuum mechanics
- Deformation (mechanics)
- Electric power
- Energy engineering
- Energy infrastructure
- Energy methods
- Engineering fundamentals
- Engineering mechanics
- Failure analysis
- Flow distribution
- Hybrid methods
- Hydraulic engineering
- Hydraulic structures
- Infrastructure
- Levees and dikes
- Lifeline systems
- Methodology (by type)
- Models (by type)
- Optimization models
- Power transmission
- Solid mechanics
- Structural mechanics
- Water and water resources
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.