IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v6y2013i10p4956-4979d29076.html
   My bibliography  Save this article

Intelligent Control of Battery Energy Storage for Multi-Agent Based Microgrid Energy Management

Author

Listed:
  • Cheol-Hee Yoo

    (School of Electrical Engineering, Kookmin University, 861-1, Jeongneung-dong, Seongbuk-gu, Seoul 136-702, Korea)

  • Il-Yop Chung

    (School of Electrical Engineering, Kookmin University, 861-1, Jeongneung-dong, Seongbuk-gu, Seoul 136-702, Korea)

  • Hak-Ju Lee

    (Korea Electric Power Research Institute, 105 Munji-Ro, Yuseong-Gu, Daejeon 305-760, Korea)

  • Sung-Soo Hong

    (School of Electrical Engineering, Kookmin University, 861-1, Jeongneung-dong, Seongbuk-gu, Seoul 136-702, Korea)

Abstract

Microgrids can be considered as controllable units from the utility point of view because the entities of microgrids such as distributed energy resources and controllable loads can effectively control the amount of power consumption or generation. Therefore, microgrids can make various contracts with utility companies such as demand response program or ancillary services. Another advantage of microgrids is to integrate renewable energy resources to low-voltage distribution networks. Battery energy storage systems (BESSs) can effectively compensate the intermittent output of renewable energy resources. This paper presents intelligent control schemes for BESSs and autonomous energy management schemes of microgrids based on the concept of multi-agent systems. The proposed control scheme consists of two layers of decision-making procedures. In the bottom layer, intelligent agents decide the optimal operation strategies of individual microgrid entities such as BESSs, backup generators and loads. In the upper layer, the central microgrid coordinator (MGCC) coordinates multiple agents so that the overall microgrid can match the load reduction requested by the grid operator. The proposed control scheme is applied to Korea Power Exchange’s Intelligent Demand Response Program.

Suggested Citation

  • Cheol-Hee Yoo & Il-Yop Chung & Hak-Ju Lee & Sung-Soo Hong, 2013. "Intelligent Control of Battery Energy Storage for Multi-Agent Based Microgrid Energy Management," Energies, MDPI, vol. 6(10), pages 1-24, September.
    • Handle: RePEc:gam:jeners:v:6:y:2013:i:10:p:4956-4979:d:29076
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/6/10/4956/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/6/10/4956/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sang-Jin Oh & Cheol-Hee Yoo & Il-Yop Chung & Dong-Jun Won, 2013. "Hardware-in-the-Loop Simulation of Distributed Intelligent Energy Management System for Microgrids," Energies, MDPI, vol. 6(7), pages 1-21, July.
    2. Lagorse, Jeremy & Paire, Damien & Miraoui, Abdellatif, 2010. "A multi-agent system for energy management of distributed power sources," Renewable Energy, Elsevier, vol. 35(1), pages 174-182.
    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. Sergio Ignacio Serna-Garcés & Daniel González Montoya & Carlos Andrés Ramos-Paja, 2018. "Control of a Charger/Discharger DC/DC Converter with Improved Disturbance Rejection for Bus Regulation," Energies, MDPI, vol. 11(3), pages 1-30, March.
    2. Liuming Jing & Dae-Hee Son & Sang-Hee Kang & Soon-Ryul Nam, 2016. "A Novel Protection Method for Single Line-to-Ground Faults in Ungrounded Low-Inertia Microgrids," Energies, MDPI, vol. 9(6), pages 1-16, June.
    3. Fontenot, Hannah & Dong, Bing, 2019. "Modeling and control of building-integrated microgrids for optimal energy management – A review," Applied Energy, Elsevier, vol. 254(C).
    4. Wei-Tzer Huang & Tsai-Hsiang Chen & Hong-Ting Chen & Jhih-Siang Yang & Kuo-Lung Lian & Yung-Ruei Chang & Yih-Der Lee & Yuan-Hsiang Ho, 2015. "A Two-stage Optimal Network Reconfiguration Approach for Minimizing Energy Loss of Distribution Networks Using Particle Swarm Optimization Algorithm," Energies, MDPI, vol. 8(12), pages 1-17, December.
    5. 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.
    6. Vu, Ba Hau & Chung, Il-Yop, 2022. "Optimal generation scheduling and operating reserve management for PV generation using RNN-based forecasting models for stand-alone microgrids," Renewable Energy, Elsevier, vol. 195(C), pages 1137-1154.
    7. Xi Wu & Ping Jiang & Jing Lu, 2014. "Multiagent-Based Distributed Load Shedding for Islanded Microgrids," Energies, MDPI, vol. 7(9), pages 1-13, September.
    8. Javier Rodríguez-García & David Ribó-Pérez & Carlos Álvarez-Bel & Elisa Peñalvo-López, 2019. "Novel Conceptual Architecture for the Next-Generation Electricity Markets to Enhance a Large Penetration of Renewable Energy," Energies, MDPI, vol. 12(13), pages 1-23, July.
    9. Coelho, Vitor N. & Weiss Cohen, Miri & Coelho, Igor M. & Liu, Nian & Guimarães, Frederico Gadelha, 2017. "Multi-agent systems applied for energy systems integration: State-of-the-art applications and trends in microgrids," Applied Energy, Elsevier, vol. 187(C), pages 820-832.
    10. Tine L. Vandoorn & Jan Van de Vyver & Louis Gevaert & Lieven Degroote & Lieven Vandevelde, 2015. "Congestion Control Algorithm in Distribution Feeders: Integration in a Distribution Management System," Energies, MDPI, vol. 8(6), pages 1-20, June.
    11. Nah-Oak Song & Ji-Hye Lee & Hak-Man Kim, 2016. "Optimal Electric and Heat Energy Management of Multi-Microgrids with Sequentially-Coordinated Operations," Energies, MDPI, vol. 9(6), pages 1-18, June.
    12. Nah-Oak Song & Ji-Hye Lee & Hak-Man Kim & Yong Hoon Im & Jae Yong Lee, 2015. "Optimal Energy Management of Multi-Microgrids with Sequentially Coordinated Operations," Energies, MDPI, vol. 8(8), pages 1-20, August.
    13. 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.
    14. Hak-Ju Lee & Ba Hau Vu & Rehman Zafar & Sung-Wook Hwang & Il-Yop Chung, 2021. "Design Framework of a Stand-Alone Microgrid Considering Power System Performance and Economic Efficiency," Energies, MDPI, vol. 14(2), pages 1-28, January.

    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. Bhowmik, Chiranjib & Bhowmik, Sumit & Ray, Amitava & Pandey, Krishna Murari, 2017. "Optimal green energy planning for sustainable development: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 796-813.
    2. Meiling Ma & Zhiyuan Zhi & Dong Han & Yushan Fan, 2023. "Dynamic Modeling and Analysis of a Virtual Synchronous Generator with Supercapacitor," Sustainability, MDPI, vol. 15(2), pages 1-12, January.
    3. Zhao, Bo & Xue, Meidong & Zhang, Xuesong & Wang, Caisheng & Zhao, Junhui, 2015. "An MAS based energy management system for a stand-alone microgrid at high altitude," Applied Energy, Elsevier, vol. 143(C), pages 251-261.
    4. Hyun-Koo Kang & Il-Yop Chung & Seung-Il Moon, 2015. "Voltage Control Method Using Distributed Generators Based on a Multi-Agent System," Energies, MDPI, vol. 8(12), pages 1-17, December.
    5. 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.
    6. Gutierrez, A. & Bressan, M. & Jimenez, J.F. & Alonso, C., 2019. "Real-time emulation of boost inverter using the Systems Modeling Language and Petri nets," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 158(C), pages 216-234.
    7. Wang, B.C. & Sechilariu, M. & Locment, F., 2013. "Power flow Petri Net modelling for building integrated multi-source power system with smart grid interaction," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 91(C), pages 119-133.
    8. Cl'emence Alasseur & Ivar Ekeland & Romuald Elie & Nicol'as Hern'andez Santib'a~nez & Dylan Possamai, 2017. "An adverse selection approach to power pricing," Papers 1706.01934, arXiv.org, revised Sep 2019.
    9. Iulia Stamatescu & Nicoleta Arghira & Ioana Făgărăşan & Grigore Stamatescu & Sergiu Stelian Iliescu & Vasile Calofir, 2017. "Decision Support System for a Low Voltage Renewable Energy System," Energies, MDPI, vol. 10(1), pages 1-15, January.
    10. Jianjun Sun & Chenxu Yin & Jinwu Gong & Yewei Chen & Zhiqiang Liao & Xiaoming Zha, 2017. "A Stable and Fast-Transient Performance Switched-Mode Power Amplifier for a Power Hardware in the Loop (PHIL) System," Energies, MDPI, vol. 10(10), pages 1-19, October.
    11. Xiaoming Zha & Chenxu Yin & Jianjun Sun & Meng Huang & Qionglin Li, 2016. "Improving the Stability and Accuracy of Power Hardware-in-the-Loop Simulation Using Virtual Impedance Method," Energies, MDPI, vol. 9(11), pages 1-16, November.
    12. Sang-Jin Oh & Cheol-Hee Yoo & Il-Yop Chung & Dong-Jun Won, 2013. "Hardware-in-the-Loop Simulation of Distributed Intelligent Energy Management System for Microgrids," Energies, MDPI, vol. 6(7), pages 1-21, July.
    13. Khodr, H.M. & El Halabi, N. & García-Gracia, M., 2012. "Intelligent renewable microgrid scheduling controlled by a virtual power producer: A laboratory experience," Renewable Energy, Elsevier, vol. 48(C), pages 269-275.
    14. Alvaro Llaria & Jessye Dos Santos & Guillaume Terrasson & Zina Boussaada & Christophe Merlo & Octavian Curea, 2021. "Intelligent Buildings in Smart Grids: A Survey on Security and Privacy Issues Related to Energy Management," Energies, MDPI, vol. 14(9), pages 1-37, May.
    15. Luis Hernández-Callejo, 2019. "A Comprehensive Review of Operation and Control, Maintenance and Lifespan Management, Grid Planning and Design, and Metering in Smart Grids," Energies, MDPI, vol. 12(9), pages 1-50, April.
    16. Hee-Jun Cha & Dong-Jun Won & Sang-Hyuk Kim & Il-Yop Chung & Byung-Moon Han, 2015. "Multi-Agent System-Based Microgrid Operation Strategy for Demand Response," Energies, MDPI, vol. 8(12), pages 1-15, December.
    17. Alqahtani, Mohammed & Hu, Mengqi, 2020. "Integrated energy scheduling and routing for a network of mobile prosumers," Energy, Elsevier, vol. 200(C).
    18. Hong Li & Bo Zhang & Li Qiu & Shiyu Chen & Jianping Yuan & Jianjun Luo, 2019. "Advection-Based Coordinated Control for Wave-Energy Converter Array," Energies, MDPI, vol. 12(18), pages 1-21, September.
    19. Howell, Shaun & Rezgui, Yacine & Hippolyte, Jean-Laurent & Jayan, Bejay & Li, Haijiang, 2017. "Towards the next generation of smart grids: Semantic and holonic multi-agent management of distributed energy resources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 193-214.
    20. Wang, Jing & Pratt, Annabelle & Prabakar, Kumaraguru & Miller, Brian & Symko-Davies, Martha, 2021. "Development of an integrated platform for hardware-in-the-loop evaluation of microgrids prior to site commissioning," Applied Energy, Elsevier, vol. 290(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:jeners:v:6:y:2013:i:10:p:4956-4979:d:29076. 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.