IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i5p4573-d1087263.html
   My bibliography  Save this article

Alternating Iterative Power-Flow Algorithm for Hybrid AC–DC Power Grids Incorporating LCCs and VSCs

Author

Listed:
  • Dong Yu

    (School of Electrical Engineering, Southeast University, Sipailou No. 2, Nanjing 211189, China)

  • Shan Gao

    (School of Electrical Engineering, Southeast University, Sipailou No. 2, Nanjing 211189, China)

  • Xin Zhao

    (School of Electrical Engineering, Southeast University, Sipailou No. 2, Nanjing 211189, China)

  • Yu Liu

    (School of Electrical Engineering, Southeast University, Sipailou No. 2, Nanjing 211189, China)

  • Sicheng Wang

    (School of Electrical Engineering, Southeast University, Sipailou No. 2, Nanjing 211189, China)

  • Tiancheng E. Song

    (School of Electrical Engineering, Southeast University, Sipailou No. 2, Nanjing 211189, China)

Abstract

AC–DC power-flow calculation is the basis for studying HVDC systems. Since traditional iterative methods need many alternative iterations and have convergence problems, this paper proposes an alternating iterative power-flow algorithm for hybrid AC–DC power grids incorporating line-commutated converters (LCCs) and voltage source converters (VSCs). Firstly, the algorithm incorporates the converter interface model into the AC side, considering the influence of the DC side on the AC side, and establishes an AC-augmented Jacobian matrix model with LCC/VSC interface equation variables. Then, according to the type of converter, control mode, and DC grid control strategy, a DC grid power-flow calculation model under various control modes is established for realizing the power-flow decoupling calculation of AC–DC power grids incorporating LCCs and VSCs. The accuracy and effectiveness of the improved algorithm are evaluated using modified IEEE 57 bus AC–DC networks and the CIGRE B4 DC grid test system. The improved algorithm is applicable to various DC grid control modes and considers the reasonable adjustment of the DC grid variable constraints and operating modes.

Suggested Citation

  • Dong Yu & Shan Gao & Xin Zhao & Yu Liu & Sicheng Wang & Tiancheng E. Song, 2023. "Alternating Iterative Power-Flow Algorithm for Hybrid AC–DC Power Grids Incorporating LCCs and VSCs," Sustainability, MDPI, vol. 15(5), pages 1-22, March.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:5:p:4573-:d:1087263
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/5/4573/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/5/4573/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Giovanna Adinolfi & Roberto Ciavarella & Giorgio Graditi & Antonio Ricca & Maria Valenti, 2021. "A Planning Tool for Reliability Assessment of Overhead Distribution Lines in Hybrid AC/DC Grids," Sustainability, MDPI, vol. 13(11), pages 1-16, May.
    2. Xiao, Hao & Pei, Wei & Deng, Wei & Ma, Tengfei & Zhang, Shizhong & Kong, Li, 2021. "Enhancing risk control ability of distribution network for improved renewable energy integration through flexible DC interconnection," Applied Energy, Elsevier, vol. 284(C).
    3. Andrés Alfonso Rosales-Muñoz & Jhon Montano & Luis Fernando Grisales-Noreña & Oscar Danilo Montoya & Fabio Andrade, 2022. "Optimal Power Dispatch of DGs in Radial and Mesh AC Grids: A Hybrid Solution Methodology between the Salps Swarm Algorithm and Successive Approximation Power Flow Method," Sustainability, MDPI, vol. 14(20), pages 1-32, October.
    4. Vitor Monteiro & Julio S. Martins & João Carlos Aparício Fernandes & Joao L. Afonso, 2021. "Review of a Disruptive Vision of Future Power Grids: A New Path Based on Hybrid AC/DC Grids and Solid-State Transformers," Sustainability, MDPI, vol. 13(16), pages 1-25, August.
    5. Bayati, Navid & Balouji, Ebrahim & Baghaee, Hamid Reza & Hajizadeh, Amin & Soltani, Mohsen & Lin, Zhengyu & Savaghebi, Mehdi, 2022. "Locating high-impedance faults in DC microgrid clusters using support vector machines," Applied Energy, Elsevier, vol. 308(C).
    6. Al Faris Habibullah & Faris Adnan Padhilah & Kyeong-Hwa Kim, 2021. "Decentralized Control of DC Microgrid Based on Droop and Voltage Controls with Electricity Price Consideration," Sustainability, MDPI, vol. 13(20), pages 1-29, October.
    7. Mahmoud A. Ali & Salah Kamel & Mohamed H. Hassan & Emad M. Ahmed & Mohana Alanazi, 2022. "Optimal Power Flow Solution of Power Systems with Renewable Energy Sources Using White Sharks Algorithm," Sustainability, MDPI, vol. 14(10), pages 1-21, May.
    8. Foti, Magda & Mavromatis, Costas & Vavalis, Manolis, 2021. "Decentralized blockchain-based consensus for Optimal Power Flow solutions," Applied Energy, Elsevier, vol. 283(C).
    9. Heidari, Saeed & Hatami, Alireza & Eskandari, Mohsen, 2022. "An intelligent capacity management system for interface converter in AC-DC hybrid microgrids," Applied Energy, Elsevier, vol. 316(C).
    10. Huang, Manyun & Wei, Zhinong & Lin, Yuzhang, 2022. "Forecasting-aided state estimation based on deep learning for hybrid AC/DC distribution systems," Applied Energy, Elsevier, vol. 306(PB).
    11. Md Shafiul Alam & Mohammad Ali Yousef Abido & Alaa El-Din Hussein & Ibrahim El-Amin, 2019. "Fault Ride through Capability Augmentation of a DFIG-Based Wind Integrated VSC-HVDC System with Non-Superconducting Fault Current Limiter," Sustainability, MDPI, vol. 11(5), pages 1-23, February.
    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. Yin, Linfei & He, Xiaoyu, 2023. "Artificial emotional deep Q learning for real-time smart voltage control of cyber-physical social power systems," Energy, Elsevier, vol. 273(C).
    2. Huang, Yan & Ju, Yuntao & Ma, Kang & Short, Michael & Chen, Tao & Zhang, Ruosi & Lin, Yi, 2022. "Three-phase optimal power flow for networked microgrids based on semidefinite programming convex relaxation," Applied Energy, Elsevier, vol. 305(C).
    3. Yousef Asadi & Mohsen Eskandari & Milad Mansouri & Andrey V. Savkin & Erum Pathan, 2022. "Frequency and Voltage Control Techniques through Inverter-Interfaced Distributed Energy Resources in Microgrids: A Review," Energies, MDPI, vol. 15(22), pages 1-29, November.
    4. Shivaie, Mojtaba & Dienel, Hans-Liudger & Weinsier, Philip D., 2023. "DG-integrated stochastic multiyear distribution expansion planning considering fault current-limiting high-temperature superconducting cables," Applied Energy, Elsevier, vol. 336(C).
    5. Al Faris Habibullah & Seung-Jin Yoon & Thuy Vi Tran & Yubin Kim & Dat Thanh Tran & Kyeong-Hwa Kim, 2022. "The Recent Development of Power Electronics and AC Machine Drive Systems," Energies, MDPI, vol. 15(21), pages 1-8, October.
    6. Couraud, Benoit & Andoni, Merlinda & Robu, Valentin & Norbu, Sonam & Chen, Si & Flynn, David, 2023. "Responsive FLEXibility: A smart local energy system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    7. Vitor Monteiro & Joao L. Afonso, 2023. "The Future of Electrical Power Grids: A Direction Rooted in Power Electronics," Energies, MDPI, vol. 16(13), pages 1-10, June.
    8. Uyikumhe Damisa & Nnamdi I. Nwulu & Pierluigi Siano, 2022. "Towards Blockchain-Based Energy Trading: A Smart Contract Implementation of Energy Double Auction and Spinning Reserve Trading," Energies, MDPI, vol. 15(11), pages 1-16, June.
    9. Wang, Ting & Zhang, Chunyan & Hao, Zhiguo & Monti, Antonello & Ponci, Ferdinanda, 2023. "Data-driven fault detection and isolation in DC microgrids without prior fault data: A transfer learning approach," Applied Energy, Elsevier, vol. 336(C).
    10. Yuri Bulatov & Andrey Kryukov & Konstantin Suslov, 2022. "Simulation of Power Router-Based DC Distribution Systems with Distributed Generation and Energy Storage Units," Energies, MDPI, vol. 16(1), pages 1-16, December.
    11. Hua, Weiqi & Jiang, Jing & Sun, Hongjian & Teng, Fei & Strbac, Goran, 2022. "Consumer-centric decarbonization framework using Stackelberg game and Blockchain," Applied Energy, Elsevier, vol. 309(C).
    12. Song, Shaojian & Xiong, Hao & Lin, Yuzhang & Huang, Manyun & Wei, Zhinong & Fang, Zhi, 2022. "Robust three-phase state estimation for PV-Integrated unbalanced distribution systems," Applied Energy, Elsevier, vol. 322(C).
    13. Md. Shafiul Alam & Abdullah A. Almehizia & Fahad Saleh Al-Ismail & Md. Alamgir Hossain & Muhammad Azharul Islam & Md. Shafiullah & Aasim Ullah, 2022. "Frequency Stabilization of AC Microgrid Clusters: An Efficient Fractional Order Supercapacitor Controller Approach," Energies, MDPI, vol. 15(14), pages 1-22, July.
    14. Jiang, Jianhua & Ming, Bo & Huang, Qiang & Guo, Yi & Shang, Jia’nan & Jurasz, Jakub & Liu, Pan, 2023. "A holistic techno-economic evaluation framework for sizing renewable power plant in a hydro-based hybrid generation system," Applied Energy, Elsevier, vol. 348(C).
    15. Zhongxi Ou & Yuanyuan Lou & Junzhou Wang & Yixin Li & Kun Yang & Sui Peng & Junjie Tang, 2023. "The Effect of Power Flow Entropy on Available Load Supply Capacity under Stochastic Scenarios with Different Control Coefficients of UPFC," Sustainability, MDPI, vol. 15(8), pages 1-22, April.
    16. Yin, Linfei & Cao, Xinghui & Liu, Dongduan, 2023. "Weighted fully-connected regression networks for one-day-ahead hourly photovoltaic power forecasting," Applied Energy, Elsevier, vol. 332(C).
    17. Yude Yang & Yuying Luo & Lizhen Yang, 2022. "Small-Signal Stability Constrained Optimal Power Flow Model Based on BP Neural Network Algorithm," Sustainability, MDPI, vol. 14(20), pages 1-14, October.
    18. Dong, Lianxin & Fan, Shuai & Wang, Zhihua & Xiao, Jucheng & Zhou, Huan & Li, Zuyi & He, Guangyu, 2021. "An adaptive decentralized economic dispatch method for virtual power plant," Applied Energy, Elsevier, vol. 300(C).
    19. Md. Shafiul Alam & Tanzi Ahmed Chowdhury & Abhishak Dhar & Fahad Saleh Al-Ismail & M. S. H. Choudhury & Md Shafiullah & Md. Ismail Hossain & Md. Alamgir Hossain & Aasim Ullah & Syed Masiur Rahman, 2023. "Solar and Wind Energy Integrated System Frequency Control: A Critical Review on Recent Developments," Energies, MDPI, vol. 16(2), pages 1-31, January.
    20. Daniel Sanin-Villa & Oscar Danilo Montoya & Walter Gil-González & Luis Fernando Grisales-Noreña & Alberto-Jesus Perea-Moreno, 2023. "Parameter Estimation of a Thermoelectric Generator by Using Salps Search Algorithm," Energies, MDPI, vol. 16(11), pages 1-16, May.

    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:15:y:2023:i:5:p:4573-:d:1087263. 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.