IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i6p3102-d515425.html
   My bibliography  Save this article

Security Analysis of Hybrid Multi-Carrier Energy Systems

Author

Listed:
  • Javad Estakhr

    (Department of Electrical Engineering, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran)

  • Mohsen Simab

    (Department of Electrical Engineering, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran)

  • Taher Niknam

    (Department of Electrical Engineering, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran)

Abstract

Multi-carrier energy systems (MCESs) provide collaboration between various kinds of energy carriers to supply the electricity, heating, and cooling demands. With the widespread use of MCESs in recent years, the security assessment of energy systems has attracted the attention of many contemporary researchers. However, the complexity of an MCES, including electrical, natural gas, and district heating networks, and different uncertainties imposes vast challenges to keep a safe operation energy supply. In this paper, a systematic methodology for the security analysis of MCESs is presented. For this purpose, considering electrical, natural gas, and district heating networks, an integrated model of energy systems is introduced. The security analysis of this framework is evaluated using some indices. In this approach, two well-known performance indices, including power performance index (PIP) and voltage performance index (PIV), are used to analyze the electrical networks’ security. Besides, the concept of Energy not supplied (ENS) is used for natural gas and district heating networks. In this regard, security analysis of a typical MCES including the IEEE 14-bus electrical network, the IEEE 30-bus electrical network, 20-node Belgian natural gas network, and 14-node district heating network is examined. The applicability of the proposed technique will be proven using comprehensive simulation analysis.

Suggested Citation

  • Javad Estakhr & Mohsen Simab & Taher Niknam, 2021. "Security Analysis of Hybrid Multi-Carrier Energy Systems," Sustainability, MDPI, vol. 13(6), pages 1-21, March.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:6:p:3102-:d:515425
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/6/3102/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/6/3102/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Liu, Xuezhi & Wu, Jianzhong & Jenkins, Nick & Bagdanavicius, Audrius, 2016. "Combined analysis of electricity and heat networks," Applied Energy, Elsevier, vol. 162(C), pages 1238-1250.
    2. Li, Guoqing & Zhang, Rufeng & Jiang, Tao & Chen, Houhe & Bai, Linquan & Cui, Hantao & Li, Xiaojing, 2017. "Optimal dispatch strategy for integrated energy systems with CCHP and wind power," Applied Energy, Elsevier, vol. 192(C), pages 408-419.
    3. Lei, Yunkai & Hou, Kai & Wang, Yue & Jia, Hongjie & Zhang, Pei & Mu, Yunfei & Jin, Xiaolong & Sui, Bingyan, 2018. "A new reliability assessment approach for integrated energy systems: Using hierarchical decoupling optimization framework and impact-increment based state enumeration method," Applied Energy, Elsevier, vol. 210(C), pages 1237-1250.
    4. Zamani Gargari, Milad & Ghaffarpour, Reza, 2020. "Reliability evaluation of multi-carrier energy system with different level of demands under various weather situation," Energy, Elsevier, vol. 196(C).
    5. Li, Guoqing & Zhang, Rufeng & Jiang, Tao & Chen, Houhe & Bai, Linquan & Li, Xiaojing, 2017. "Security-constrained bi-level economic dispatch model for integrated natural gas and electricity systems considering wind power and power-to-gas process," Applied Energy, Elsevier, vol. 194(C), pages 696-704.
    6. Morteza Nazari-Heris & Behnam Mohammadi-Ivatloo & Somayeh Asadi, 2020. "Optimal Operation of Multi-Carrier Energy Networks Considering Uncertain Parameters and Thermal Energy Storage," Sustainability, MDPI, vol. 12(12), pages 1-20, June.
    7. DE WOLF, Daniel & SMEERS, Yves, 2000. "The gas transmission problem solved by an extension of the simplex algorithm," LIDAM Reprints CORE 1489, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    8. Niemi, R. & Mikkola, J. & Lund, P.D., 2012. "Urban energy systems with smart multi-carrier energy networks and renewable energy generation," Renewable Energy, Elsevier, vol. 48(C), pages 524-536.
    9. Diesendorf, Mark & Elliston, Ben, 2018. "The feasibility of 100% renewable electricity systems: A response to critics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 318-330.
    10. Daniel De Wolf & Yves Smeers, 2000. "The Gas Transmission Problem Solved by an Extension of the Simplex Algorithm," Management Science, INFORMS, vol. 46(11), pages 1454-1465, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lei, Yunkai & Hou, Kai & Wang, Yue & Jia, Hongjie & Zhang, Pei & Mu, Yunfei & Jin, Xiaolong & Sui, Bingyan, 2018. "A new reliability assessment approach for integrated energy systems: Using hierarchical decoupling optimization framework and impact-increment based state enumeration method," Applied Energy, Elsevier, vol. 210(C), pages 1237-1250.
    2. Jiang, Yunpeng & Ren, Zhouyang & Yang, Xin & Li, Qiuyan & Xu, Yan, 2022. "A steady-state energy flow analysis method for integrated natural gas and power systems based on topology decoupling," Applied Energy, Elsevier, vol. 306(PA).
    3. Chen, Yuwei & Guo, Qinglai & Sun, Hongbin & Pan, Zhaoguang & Chen, Binbin, 2021. "Generalized phasor modeling of dynamic gas flow for integrated electricity-gas dispatch," Applied Energy, Elsevier, vol. 283(C).
    4. Bao, Zhejing & Chen, Dawei & Wu, Lei & Guo, Xiaogang, 2019. "Optimal inter- and intra-hour scheduling of islanded integrated-energy system considering linepack of gas pipelines," Energy, Elsevier, vol. 171(C), pages 326-340.
    5. Ghahramani, Mehrdad & Nazari-Heris, Morteza & Zare, Kazem & Mohammadi-Ivatloo, Behnam, 2022. "A two-point estimate approach for energy management of multi-carrier energy systems incorporating demand response programs," Energy, Elsevier, vol. 249(C).
    6. Duan, Jiandong & Liu, Fan & Yang, Yao, 2022. "Optimal operation for integrated electricity and natural gas systems considering demand response uncertainties," Applied Energy, Elsevier, vol. 323(C).
    7. Wei Chen & Xiansi Lou & Chuangxin Guo, 2019. "A Robust Formulation Model for Multi-Period Failure Restoration Problems in Integrated Energy Systems," Energies, MDPI, vol. 12(19), pages 1-23, September.
    8. Juanwei, Chen & Tao, Yu & Yue, Xu & Xiaohua, Cheng & Bo, Yang & Baomin, Zhen, 2019. "Fast analytical method for reliability evaluation of electricity-gas integrated energy system considering dispatch strategies," Applied Energy, Elsevier, vol. 242(C), pages 260-272.
    9. Jesus Beyza & Eduardo Garcia-Paricio & Jose M. Yusta, 2019. "Applying Complex Network Theory to the Vulnerability Assessment of Interdependent Energy Infrastructures," Energies, MDPI, vol. 12(3), pages 1-16, January.
    10. Aunedi, Marko & Pantaleo, Antonio Marco & Kuriyan, Kamal & Strbac, Goran & Shah, Nilay, 2020. "Modelling of national and local interactions between heat and electricity networks in low-carbon energy systems," Applied Energy, Elsevier, vol. 276(C).
    11. Xu, Bin & Lin, Boqiang, 2018. "Do we really understand the development of China's new energy industry?," Energy Economics, Elsevier, vol. 74(C), pages 733-745.
    12. Beyza, Jesus & Ruiz-Paredes, Hector F. & Garcia-Paricio, Eduardo & Yusta, Jose M., 2020. "Assessing the criticality of interdependent power and gas systems using complex networks and load flow techniques," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    13. Daniel de Wolf, 2017. "Mathematical Properties of Formulations of the Gas Transmission Problem," Post-Print halshs-02396747, HAL.
    14. Mengying Xue & Tianhu Deng & Zuo‐Jun Max Shen, 2019. "Optimizing natural gas pipeline transmission with nonuniform elevation: A new initialization approach," Naval Research Logistics (NRL), John Wiley & Sons, vol. 66(7), pages 547-564, October.
    15. Conrado Borraz-Sánchez & Dag Haugland, 2013. "Optimization methods for pipeline transportation of natural gas with variable specific gravity and compressibility," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 21(3), pages 524-541, October.
    16. Zhou, Li & Liao, Zuwei & Wang, Jingdai & Jiang, Binbo & Yang, Yongrong & Du, Wenli, 2015. "Energy configuration and operation optimization of refinery fuel gas networks," Applied Energy, Elsevier, vol. 139(C), pages 365-375.
    17. Massol, O., 2011. "A cost function for the natural gas transmission industry: further considerations," Working Papers 1464, Department of Economics, City University London.
    18. Hong, Sung-Pil & Kim, Taegyoon & Lee, Subin, 2019. "A precision pump schedule optimization for the water supply networks with small buffers," Omega, Elsevier, vol. 82(C), pages 24-37.
    19. Dieckhoener, Caroline, 2010. "Simulating security of supply effects of the Nabucco and South Stream projects for the European natural gas market," EWI Working Papers 2010-7, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI), revised 21 Jan 2012.
    20. Song, Chenhui & Xiao, Jun & Zu, Guoqiang & Hao, Ziyuan & Zhang, Xinsong, 2021. "Security region of natural gas pipeline network system: Concept, method and application," Energy, Elsevier, vol. 217(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:6:p:3102-:d:515425. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.