IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i4p932-d141021.html
   My bibliography  Save this article

A Distributed Secondary Control Algorithm for Automatic Generation Control Considering EDP and Automatic Voltage Control in an AC Microgrid

Author

Listed:
  • Mi Dong

    (School of Information Science and Engineering, Yuelu Road, Central South University, Changsha 410083, China)

  • Li Li

    (School of Information Science and Engineering, Yuelu Road, Central South University, Changsha 410083, China)

  • Lina Wang

    (School of Automation Science and Electrical Engineering, Xueyuan Road, Beihang University, Beijing 100191, China)

  • Dongran Song

    (School of Information Science and Engineering, Yuelu Road, Central South University, Changsha 410083, China)

  • Zhangjie Liu

    (School of Information Science and Engineering, Yuelu Road, Central South University, Changsha 410083, China)

  • Xiaoyu Tian

    (School of Information Science and Engineering, Yuelu Road, Central South University, Changsha 410083, China)

  • Zhengguo Li

    (ShenZhen Polytechnic, Shenzhen 518055, China)

  • Yinghua Wang

    (Huangshi Electric Power Supply Company in State Grid, Huangshi 435000, Hubei, China)

Abstract

This paper introduces a distributed secondary control algorithm for automatic generation control (AGC) and automatic voltage control (AVC), which aims at matching area generation to area load and minimizing the total generation cost in an alternating current (AC) microgrids. Firstly, the control algorithm utilizes a continuous-time distributed algorithm to generate additional control variables to achieve frequency-voltage recovery for all distributed generators (DGs). Secondary, it solves the economic dispatch problem (EDP) by a distributed economic incremental algorithm in the secondary control level, which avoids the problem caused by communication speed inconsistency between secondary and tertiary control levels. This study also utilizes a fully distributed strategy based on secondary communication network to estimate the total load demand. In addition, the proposed algorithm can be used to realize a seamless handover from the islanded mode to the grid-connected mode, run under the condition of short time communication system out of action, and help to realize the plug and play function. Lastly, the stability of the proposed control algorithm is analyzed and proved, and the effectiveness of the method is verified in some case studies.

Suggested Citation

  • Mi Dong & Li Li & Lina Wang & Dongran Song & Zhangjie Liu & Xiaoyu Tian & Zhengguo Li & Yinghua Wang, 2018. "A Distributed Secondary Control Algorithm for Automatic Generation Control Considering EDP and Automatic Voltage Control in an AC Microgrid," Energies, MDPI, vol. 11(4), pages 1-18, April.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:4:p:932-:d:141021
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/4/932/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/11/4/932/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hua Han & Lang Li & Lina Wang & Mei Su & Yue Zhao & Josep M. Guerrero, 2017. "A Novel Decentralized Economic Operation in Islanded AC Microgrids," Energies, MDPI, vol. 10(6), pages 1-18, June.
    2. Bingke Yan & Bo Wang & Lin Zhu & Hesen Liu & Yilu Liu & Xingpei Ji & Dichen Liu, 2015. "A Novel, Stable, and Economic Power Sharing Scheme for an Autonomous Microgrid in the Energy Internet," Energies, MDPI, vol. 8(11), pages 1-24, November.
    3. Chatterjee, Shantanu & Kumar, Prashant & Chatterjee, Saibal, 2018. "A techno-commercial review on grid connected photovoltaic system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2371-2397.
    4. Ebrahim Rokrok & Miadreza Shafie-khah & Pierluigi Siano & João P. S. Catalão, 2017. "A Decentralized Multi-Agent-Based Approach for Low Voltage Microgrid Restoration," Energies, MDPI, vol. 10(10), pages 1-20, September.
    5. Hao Liang & Weihua Zhuang, 2014. "Stochastic Modeling and Optimization in a Microgrid: A Survey," Energies, MDPI, vol. 7(4), pages 1-24, March.
    6. Song, Dongran & Yang, Jian & Dong, Mi & Joo, Young Hoon, 2017. "Model predictive control with finite control set for variable-speed wind turbines," Energy, Elsevier, vol. 126(C), pages 564-572.
    7. Jing Qiu & Junhua Zhao & Dongxiao Wang & Yu Zheng, 2017. "Two-Stage Coordinated Operational Strategy for Distributed Energy Resources Considering Wind Power Curtailment Penalty Cost," Energies, MDPI, vol. 10(7), pages 1-19, July.
    8. Zhe Xiao & Tinghua Li & Ming Huang & Jihong Shi & Jingjing Yang & Jiang Yu & Wei Wu, 2010. "Hierarchical MAS Based Control Strategy for Microgrid," Energies, MDPI, vol. 3(9), pages 1-17, September.
    9. Palizban, Omid & Kauhaniemi, Kimmo, 2015. "Hierarchical control structure in microgrids with distributed generation: Island and grid-connected mode," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 797-813.
    10. Changsun Ahn & Huei Peng, 2013. "Decentralized and Real-Time Power Dispatch Control for an Islanded Microgrid Supported by Distributed Power Sources," Energies, MDPI, vol. 6(12), pages 1-16, December.
    11. Qiu-Yu Lu & Wei Hu & Le Zheng & Yong Min & Miao Li & Xiao-Ping Li & Wei-Chun Ge & Zhi-Ming Wang, 2012. "Integrated Coordinated Optimization Control of Automatic Generation Control and Automatic Voltage Control in Regional Power Grids," Energies, MDPI, vol. 5(10), pages 1-18, September.
    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. Hua Han & Lang Li & Lina Wang & Mei Su & Yue Zhao & Josep M. Guerrero, 2017. "A Novel Decentralized Economic Operation in Islanded AC Microgrids," Energies, MDPI, vol. 10(6), pages 1-18, June.
    2. Xi Wu & Ping Jiang & Jing Lu, 2014. "Multiagent-Based Distributed Load Shedding for Islanded Microgrids," Energies, MDPI, vol. 7(9), pages 1-13, September.
    3. Xiaochao Hou & Yao Sun & Wenbin Yuan & Hua Han & Chaolu Zhong & Josep M. Guerrero, 2016. "Conventional P -ω/ Q-V Droop Control in Highly Resistive Line of Low-Voltage Converter-Based AC Microgrid," Energies, MDPI, vol. 9(11), pages 1-19, November.
    4. Amrutha Raju Battula & Sandeep Vuddanti & Surender Reddy Salkuti, 2021. "Review of Energy Management System Approaches in Microgrids," Energies, MDPI, vol. 14(17), pages 1-32, September.
    5. Jiaxin Lu & Weijun Wang & Yingchao Zhang & Song Cheng, 2017. "Multi-Objective Optimal Design of Stand-Alone Hybrid Energy System Using Entropy Weight Method Based on HOMER," Energies, MDPI, vol. 10(10), pages 1-17, October.
    6. 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.
    7. Jihed Hmad & Azeddine Houari & Allal El Moubarek Bouzid & Abdelhakim Saim & Hafedh Trabelsi, 2023. "A Review on Mode Transition Strategies between Grid-Connected and Standalone Operation of Voltage Source Inverters-Based Microgrids," Energies, MDPI, vol. 16(13), pages 1-41, June.
    8. Andrea Bonfiglio & Massimo Brignone & Marco Invernizzi & Alessandro Labella & Daniele Mestriner & Renato Procopio, 2017. "A Simplified Microgrid Model for the Validation of Islanded Control Logics," Energies, MDPI, vol. 10(8), pages 1-28, August.
    9. Lei Chen & Xiude Tu & Hongkun Chen & Jun Yang & Yayi Wu & Xin Shu & Li Ren, 2016. "Technical Evaluation of Superconducting Fault Current Limiters Used in a Micro-Grid by Considering the Fault Characteristics of Distributed Generation, Energy Storage and Power Loads," Energies, MDPI, vol. 9(10), pages 1-21, September.
    10. Xu, Zhirong & Yang, Ping & Zheng, Chengli & Zhang, Yujia & Peng, Jiajun & Zeng, Zhiji, 2018. "Analysis on the organization and Development of multi-microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2204-2216.
    11. Fan, Zhi-Ping & Cai, Siqin & Guo, Dongliang & Xu, Bo, 2022. "Facing the uncertainty of renewable energy production: Production decisions of a power plant with different risk attitudes," Renewable Energy, Elsevier, vol. 199(C), pages 1237-1247.
    12. Wang, Linyuan & Zhao, Lin & Mao, Guozhu & Zuo, Jian & Du, Huibin, 2017. "Way to accomplish low carbon development transformation: A bibliometric analysis during 1995–2014," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 57-69.
    13. Ali Hadi Abdulwahid & Shaorong Wang, 2016. "A Novel Approach for Microgrid Protection Based upon Combined ANFIS and Hilbert Space-Based Power Setting," Energies, MDPI, vol. 9(12), pages 1-25, December.
    14. Mohamed Els. S. Abdelwareth & Dedet Candra Riawan & Chow Chompoo-inwai, 2023. "Optimum Generated Power for a Hybrid DG/PV/Battery Radial Network Using Meta-Heuristic Algorithms Based DG Allocation," Sustainability, MDPI, vol. 15(13), pages 1-25, July.
    15. Umeozor, Evar Chinedu & Trifkovic, Milana, 2016. "Operational scheduling of microgrids via parametric programming," Applied Energy, Elsevier, vol. 180(C), pages 672-681.
    16. Tavakol Aghaei, Vahid & Ağababaoğlu, Arda & Bawo, Biram & Naseradinmousavi, Peiman & Yıldırım, Sinan & Yeşilyurt, Serhat & Onat, Ahmet, 2023. "Energy optimization of wind turbines via a neural control policy based on reinforcement learning Markov chain Monte Carlo algorithm," Applied Energy, Elsevier, vol. 341(C).
    17. Lei Chen & Hongkun Chen & Jun Yang & Yanjuan Yu & Kaiwei Zhen & Yang Liu & Li Ren, 2017. "Coordinated Control of Superconducting Fault Current Limiter and Superconducting Magnetic Energy Storage for Transient Performance Enhancement of Grid-Connected Photovoltaic Generation System," Energies, MDPI, vol. 10(1), pages 1-23, January.
    18. Govind Joshi & Salman Mohagheghi, 2021. "Optimal Operation of Combined Energy and Water Systems for Community Resilience against Natural Disasters," Energies, MDPI, vol. 14(19), pages 1-19, September.
    19. Janusz Baran & Andrzej Jąderko, 2020. "An MPPT Control of a PMSG-Based WECS with Disturbance Compensation and Wind Speed Estimation," Energies, MDPI, vol. 13(23), pages 1-20, December.
    20. Štefan Bojnec & Umar Daraz & Younas Khan, 2024. "Harvesting Sunlight: The Promise of Agro-Photovoltaic Fusion Systems for Sustainable Agriculture and Renewable Energy Generation," Energies, MDPI, vol. 17(13), pages 1-29, July.

    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:jeners:v:11:y:2018:i:4:p:932-:d:141021. 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.