IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v228y2018icp189-204.html
   My bibliography  Save this article

Time-delay stability switching boundary determination for DC microgrid clusters with the distributed control framework

Author

Listed:
  • Dong, Chaoyu
  • Gao, Qingbin
  • Xiao, Qian
  • Yu, Xiaodan
  • Pekař, Libor
  • Jia, Hongjie

Abstract

In a DC microgrid cluster, distributed DC microgrids are integrated to manage diverse and distributed energy resources. Without the reliance on a management center, the distributed control framework is capable of the cluster deployment by only adjacent collaborations. However, the communication among microgrids and the formation of dispatch signals inevitably lead to time delays, which might cause the system disorder and multiple-delay couplings. Considering these unstable effects, the lack of time-delay study challenges the cluster stability and burdens the energy application. The key contributions of this paper are the definition and detection of the time-delay stability switching boundary for the DC microgrid cluster with the distributed control framework, which reveals time delays switching the system stability and proves the delay-induced oscillation. Through the established time-delay model and the proposed method based on the cluster treatment of characteristic roots, the explicit time-delay stability switching boundary is detected in the delay space, which forms a determination flow of five stages: (1) system initialization: according to the cluster parameter values, the established time-delay model is initialized; (2) space transformation: applying the space mapping and the rationalization, the Sylvester resultant is constructed in the spectral delay space; (3) spectral boundary sketch: in uniformly divided blocks, spectral boundaries are found from the resultant; (4) crossing root calculation: with the spectral boundaries, crossing roots are calculated solving the characteristic equation; (5) boundary determination: back-mapping the spectral boundaries with the crossing roots, the overall boundary is presented. Comprehensive case studies are performed to study the time-delay stability switching boundary and to validate the proposed approach. The boundary existence and feature demonstrate the time-delay effect. Furthermore, the classified stable areas are revealed as well as the relevant strategies for the stability enhancement.

Suggested Citation

  • Dong, Chaoyu & Gao, Qingbin & Xiao, Qian & Yu, Xiaodan & Pekař, Libor & Jia, Hongjie, 2018. "Time-delay stability switching boundary determination for DC microgrid clusters with the distributed control framework," Applied Energy, Elsevier, vol. 228(C), pages 189-204.
    • Handle: RePEc:eee:appene:v:228:y:2018:i:c:p:189-204
    DOI: 10.1016/j.apenergy.2018.06.026
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261918308900
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2018.06.026?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Almada, J.B. & Leão, R.P.S. & Sampaio, R.F. & Barroso, G.C., 2016. "A centralized and heuristic approach for energy management of an AC microgrid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1396-1404.
    2. Bullich-Massagué, Eduard & Díaz-González, Francisco & Aragüés-Peñalba, Mònica & Girbau-Llistuella, Francesc & Olivella-Rosell, Pol & Sumper, Andreas, 2018. "Microgrid clustering architectures," Applied Energy, Elsevier, vol. 212(C), pages 340-361.
    3. Ren, Lingyu & Qin, Yanyuan & Li, Yan & Zhang, Peng & Wang, Bing & Luh, Peter B. & Han, Song & Orekan, Taofeek & Gong, Tao, 2018. "Enabling resilient distributed power sharing in networked microgrids through software defined networking," Applied Energy, Elsevier, vol. 210(C), pages 1251-1265.
    4. Lotfi, Hossein & Khodaei, Amin, 2017. "Hybrid AC/DC microgrid planning," Energy, Elsevier, vol. 118(C), pages 37-46.
    5. Riverso, Stefano & Tucci, Michele & Vasquez, Juan C. & Guerrero, Josep M. & Ferrari-Trecate, Giancarlo, 2018. "Stabilizing plug-and-play regulators and secondary coordinated control for AC islanded microgrids with bus-connected topology," Applied Energy, Elsevier, vol. 210(C), pages 914-924.
    6. Jia, Hongjie & Li, Xiaomeng & Mu, Yunfei & Xu, Chen & Jiang, Yilang & Yu, Xiaodan & Wu, Jianzhong & Dong, Chaoyu, 2018. "Coordinated control for EV aggregators and power plants in frequency regulation considering time-varying delays," Applied Energy, Elsevier, vol. 210(C), pages 1363-1376.
    7. Bahrami, Shahab & Amini, M. Hadi, 2018. "A decentralized trading algorithm for an electricity market with generation uncertainty," Applied Energy, Elsevier, vol. 218(C), pages 520-532.
    8. Mo, Hua-Dong & Li, Yan-Fu & Zio, Enrico, 2016. "A system-of-systems framework for the reliability analysis of distributed generation systems accounting for the impact of degraded communication networks," Applied Energy, Elsevier, vol. 183(C), pages 805-822.
    9. Xydas, Erotokritos & Marmaras, Charalampos & Cipcigan, Liana M., 2016. "A multi-agent based scheduling algorithm for adaptive electric vehicles charging," Applied Energy, Elsevier, vol. 177(C), pages 354-365.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yu, Hang & Shang, Yitong & Niu, Songyan & Cheng, Chong & Shao, Ziyun & Jian, Linni, 2022. "Towards energy-efficient and cost-effective DC nanaogrid: A novel pseudo hierarchical architecture incorporating V2G technology for both autonomous coordination and regulated power dispatching," Applied Energy, Elsevier, vol. 313(C).
    2. Bouzid, Allal El Moubarek & Chaoui, Hicham & Zerrougui, Mohamed & Ben Elghali, Seifeddine & Benbouzid, Mohamed, 2021. "Robust control based on linear matrix inequalities criterion of single phase distributed electrical energy systems operating in islanded and grid-connected modes," Applied Energy, Elsevier, vol. 292(C).
    3. Hamad, Basil R. & Al-Durra, Ahmed & Al-Jaafari, Khaled Ali & Zeineldin, Hatem & Mohamed, Yasser Abdel-Rady I. & El-Saadany, Ehab, 2024. "Improving the robustness of distributed secondary control in autonomous microgrids to mitigate the effects of communication delays," Applied Energy, Elsevier, vol. 364(C).
    4. Naderi, Mobin & Khayat, Yousef & Shafiee, Qobad & Blaabjerg, Frede & Bevrani, Hassan, 2023. "Dynamic modeling, stability analysis and control of interconnected microgrids: A review," Applied Energy, Elsevier, vol. 334(C).
    5. dos Santos Neto, Pedro J. & Barros, Tárcio A.S. & Silveira, Joao P.C. & Ruppert Filho, Ernesto & Vasquez, Juan C. & Guerrero, Josep M., 2020. "Power management techniques for grid-connected DC microgrids: A comparative evaluation," Applied Energy, Elsevier, vol. 269(C).
    6. Xu, Luo & Guo, Qinglai & He, Guannan & Jia, Shuyu & Sun, Hongbin, 2022. "Novel properties of heterogeneous delay in inverter-based cyber–physical microgrids under fully distributed control," Applied Energy, Elsevier, vol. 306(PB).
    7. Ensheng Zhao & Yang Han & Hao Zeng & Luqiao Li & Ping Yang & Congling Wang & Amr S. Zalhaf, 2022. "Accurate Peer-to-Peer Hierarchical Control Method for Hybrid DC Microgrid Clusters," Energies, MDPI, vol. 16(1), pages 1-27, December.

    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. Yang, Chao & Yao, Wei & Fang, Jiakun & Ai, Xiaomeng & Chen, Zhe & Wen, Jinyu & He, Haibo, 2019. "Dynamic event-triggered robust secondary frequency control for islanded AC microgrid," Applied Energy, Elsevier, vol. 242(C), pages 821-836.
    2. Guido Cavraro & Tommaso Caldognetto & Ruggero Carli & Paolo Tenti, 2019. "A Master/Slave Approach to Power Flow and Overvoltage Control in Low-Voltage Microgrids," Energies, MDPI, vol. 12(14), pages 1-22, July.
    3. Huang, Chunyi & Zhang, Mingzhi & Wang, Chengmin & Xie, Ning & Yuan, Zhao, 2022. "An interactive two-stage retail electricity market for microgrids with peer-to-peer flexibility trading," Applied Energy, Elsevier, vol. 320(C).
    4. Nawaz, Arshad & Zhou, Min & Wu, Jing & Long, Chengnian, 2022. "A comprehensive review on energy management, demand response, and coordination schemes utilization in multi-microgrids network," Applied Energy, Elsevier, vol. 323(C).
    5. Yang, Yanhong & Pei, Wei & Huo, Qunhai & Sun, Jianjun & Xu, Feng, 2018. "Coordinated planning method of multiple micro-grids and distribution network with flexible interconnection," Applied Energy, Elsevier, vol. 228(C), pages 2361-2374.
    6. Kofinas, P. & Dounis, A.I. & Vouros, G.A., 2018. "Fuzzy Q-Learning for multi-agent decentralized energy management in microgrids," Applied Energy, Elsevier, vol. 219(C), pages 53-67.
    7. Du, Yan & Wang, Zhiwei & Liu, Guangyi & Chen, Xi & Yuan, Haoyu & Wei, Yanli & Li, Fangxing, 2018. "A cooperative game approach for coordinating multi-microgrid operation within distribution systems," Applied Energy, Elsevier, vol. 222(C), pages 383-395.
    8. Xiang, Liu, 2020. "Energy emergency supply chain collaboration optimization with group consensus through reinforcement learning considering non-cooperative behaviours," Energy, Elsevier, vol. 210(C).
    9. Gui, Yonghao & Wei, Baoze & Li, Mingshen & Guerrero, Josep M. & Vasquez, Juan C., 2018. "Passivity-based coordinated control for islanded AC microgrid," Applied Energy, Elsevier, vol. 229(C), pages 551-561.
    10. Roberto Germanà & Francesco Liberati & Emanuele De Santis & Alessandro Giuseppi & Francesco Delli Priscoli & Alessandro Di Giorgio, 2021. "Optimal Control of Plug-In Electric Vehicles Charging for Composition of Frequency Regulation Services," Energies, MDPI, vol. 14(23), pages 1-17, November.
    11. Restrepo, Mauricio & Cañizares, Claudio A. & Simpson-Porco, John W. & Su, Peter & Taruc, John, 2021. "Optimization- and Rule-based Energy Management Systems at the Canadian Renewable Energy Laboratory microgrid facility," Applied Energy, Elsevier, vol. 290(C).
    12. Wang, Dongxiao & Qiu, Jing & Reedman, Luke & Meng, Ke & Lai, Loi Lei, 2018. "Two-stage energy management for networked microgrids with high renewable penetration," Applied Energy, Elsevier, vol. 226(C), pages 39-48.
    13. Guo, Yurun & Wang, Shugang & Wang, Jihong & Zhang, Tengfei & Ma, Zhenjun & Jiang, Shuang, 2024. "Key district heating technologies for building energy flexibility: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    14. Fouad Boutros & Moustapha Doumiati & Jean-Christophe Olivier & Imad Mougharbel & Hadi Kanaan, 2024. "Optimal Placement of Multiple Sources in a Mesh-Type DC Microgrid Using Dijkstra’s Algorithm," Energies, MDPI, vol. 17(14), pages 1-18, July.
    15. Ezenwa Udoha & Saptarshi Das & Mohammad Abusara, 2024. "Centralised Control and Energy Management of Multiple Interconnected Standalone AC Microgrids," Energies, MDPI, vol. 17(20), pages 1-26, October.
    16. Guelpa, Elisa & Bischi, Aldo & Verda, Vittorio & Chertkov, Michael & Lund, Henrik, 2019. "Towards future infrastructures for sustainable multi-energy systems: A review," Energy, Elsevier, vol. 184(C), pages 2-21.
    17. Cai, Hanmin & You, Shi & Wu, Jianzhong, 2020. "Agent-based distributed demand response in district heating systems," Applied Energy, Elsevier, vol. 262(C).
    18. Ahmadi, Seyed Ehsan & Sadeghi, Delnia & Marzband, Mousa & Abusorrah, Abdullah & Sedraoui, Khaled, 2022. "Decentralized bi-level stochastic optimization approach for multi-agent multi-energy networked micro-grids with multi-energy storage technologies," Energy, Elsevier, vol. 245(C).
    19. Antoine Boche & Clément Foucher & Luiz Fernando Lavado Villa, 2022. "Understanding Microgrid Sustainability: A Systemic and Comprehensive Review," Energies, MDPI, vol. 15(8), pages 1-29, April.
    20. Poria Astero & Bong Jun Choi & Hao Liang & Lennart Söder, 2017. "Transactive Demand Side Management Programs in Smart Grids with High Penetration of EVs," Energies, MDPI, vol. 10(10), pages 1-18, October.

    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:eee:appene:v:228:y:2018:i:c:p:189-204. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.