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Region model and application of regional integrated energy system security analysis

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  • Liu, Liu
  • Wang, Dan
  • Hou, Kai
  • Jia, Hong-jie
  • Li, Si-yuan

Abstract

With the deep interconnection of multi-energy flow in the regional integrated energy system (RIES), the security problem after contingencies has gained wide attentions. Compared with the traditional time-consuming ‘point-wise’ simulation method, the ‘region’ method has become a new powerful approach to analyze the system security status, which can be calculated offline and applied online. Nowadays, the rapidly development of RIES automation level has laid foundation for the load transfer after faults. Therefore, faced with the RIES supplied by energy hubs (EHs), this paper proposes the concept and model of regional integrated energy system security region (RIESSR) based on the N − 1 security guideline. Furthermore, a practical RIESSR model is simplified to improve the solution efficiency, including the security boundary, security distance and security margin. In order to realize the RIESSR visual observation, a simulation fitting solution of practical RIESSR security boundary is presented. Based on the RIESSR, the framework of RIES security analysis is constructed to achieve the measurement of system status, obtaining the security information and controlling the energy generation of EHs. On this basis, the preventive control and optimizing control models are established to optimize the system security status. Finally, some numerical cases are simulated to verify the effectiveness and applicability of the proposed RIESSR model. The case study demonstrates that the security boundary of RIESSR could be described and the two-dimensional and three-dimensional visualizations of practical RIESSR are realized. Through the RIESSR, the analysis of security assessment and energy supply capability can be conducted rapidly and directly. After the preventive control, the insecure operating point could be adjusted to the secure status quickly. According to the demand of different security degree and efficiency degree, the set of Pareto fronts of optimizing control measures are presented, which provides guideline for the dispatchers.

Suggested Citation

  • Liu, Liu & Wang, Dan & Hou, Kai & Jia, Hong-jie & Li, Si-yuan, 2020. "Region model and application of regional integrated energy system security analysis," Applied Energy, Elsevier, vol. 260(C).
    • Handle: RePEc:eee:appene:v:260:y:2020:i:c:s0306261919319555
    DOI: 10.1016/j.apenergy.2019.114268
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    16. Yan Xu & Jianhao Zhang, 2020. "Regional Integrated Energy Site Layout Optimization Based on Improved Artificial Immune Algorithm," Energies, MDPI, vol. 13(17), pages 1-15, August.
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    18. Ding, Shixing & Gu, Wei & Lu, Shuai & Yu, Ruizhi & Sheng, Lina, 2022. "Cyber-attack against heating system in integrated energy systems: Model and propagation mechanism," Applied Energy, Elsevier, vol. 311(C).
    19. Li, Hang & Hou, Kai & Xu, Xiandong & Jia, Hongjie & Zhu, Lewei & Mu, Yunfei, 2022. "Probabilistic energy flow calculation for regional integrated energy system considering cross-system failures," Applied Energy, Elsevier, vol. 308(C).
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    22. Wang, Deqing & Tian, Sihua & Fang, Lei & Xu, Yan, 2020. "A functional index model for dynamically evaluating China's energy security," Energy Policy, Elsevier, vol. 147(C).
    23. Lei, Yang & Wang, Dan & Jia, Hongjie & Chen, Jingcheng & Li, Jingru & Song, Yi & Li, Jiaxi, 2020. "Multi-objective stochastic expansion planning based on multi-dimensional correlation scenario generation method for regional integrated energy system integrated renewable energy," Applied Energy, Elsevier, vol. 276(C).

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