IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v10y2017i3p267-d91401.html
   My bibliography  Save this article

A Cyber Physical Model Based on a Hybrid System for Flexible Load Control in an Active Distribution Network

Author

Listed:
  • Yun Wang

    (Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education, Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Dong Liu

    (Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education, Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Chen Sun

    (Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education, Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

Abstract

To strengthen the integration of the primary and secondary systems, a concept of Cyber Physical Systems (CPS) is introduced to construct a CPS in Power Systems (Power CPS). The most basic work of the Power CPS is to build an integration model which combines both a continuous process and a discrete process. The advanced form of smart grid, the Active Distribution Network (ADN) is a typical example of Power CPS. After designing the Power CPS model architecture and its application in ADN, a Hybrid System based model and control method of Power CPS is proposed in this paper. As an application example, ADN flexible load is modeled and controlled with ADN feeder power control by a control strategy which includes the normal condition and the underpowered condition. In this model and strategy, some factors like load power consumption and load functional demand are considered and optimized. In order to make up some of the deficiencies of centralized control, a distributed control method is presented to reduce model complexity and improve calculation speed. The effectiveness of all the models and methods are demonstrated in the case study.

Suggested Citation

  • Yun Wang & Dong Liu & Chen Sun, 2017. "A Cyber Physical Model Based on a Hybrid System for Flexible Load Control in an Active Distribution Network," Energies, MDPI, vol. 10(3), pages 1-20, February.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:3:p:267-:d:91401
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/10/3/267/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/10/3/267/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zaman, Forhad & Elsayed, Saber M. & Ray, Tapabrata & Sarker, Ruhul A., 2016. "Evolutionary algorithms for power generation planning with uncertain renewable energy," Energy, Elsevier, vol. 112(C), pages 408-419.
    2. Wenpeng Yu & Dong Liu & Yuhui Huang, 2013. "Operation Optimization Based on the Power Supply and Storage Capacity of an Active Distribution Network," Energies, MDPI, vol. 6(12), pages 1-16, December.
    3. 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.
    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. Chen Sun & Dong Liu & Yun Wang & Yi You, 2017. "Assessment of Credible Capacity for Intermittent Distributed Energy Resources in Active Distribution Network," Energies, MDPI, vol. 10(8), pages 1-24, July.

    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. Ali A. Radwan & Ahmed A. Zaki Diab & Abo-Hashima M. Elsayed & Hassan Haes Alhelou & Pierluigi Siano, 2020. "Active Distribution Network Modeling for Enhancing Sustainable Power System Performance; a Case Study in Egypt," Sustainability, MDPI, vol. 12(21), pages 1-22, October.
    2. Ahmad Khan, Aftab & Naeem, Muhammad & Iqbal, Muhammad & Qaisar, Saad & Anpalagan, Alagan, 2016. "A compendium of optimization objectives, constraints, tools and algorithms for energy management in microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1664-1683.
    3. Wei-Tzer Huang & Kai-Chao Yao & Chun-Ching Wu, 2014. "Using the Direct Search Method for Optimal Dispatch of Distributed Generation in a Medium-Voltage Microgrid," Energies, MDPI, vol. 7(12), pages 1-19, December.
    4. Qingwu Gong & Jiazhi Lei & Jun Ye, 2016. "Optimal Siting and Sizing of Distributed Generators in Distribution Systems Considering Cost of Operation Risk," Energies, MDPI, vol. 9(1), pages 1-18, January.
    5. Bokyung Ko & Nugroho Prananto Utomo & Gilsoo Jang & Jaehan Kim & Jintae Cho, 2013. "Optimal Scheduling for the Complementary Energy Storage System Operation Based on Smart Metering Data in the DC Distribution System," Energies, MDPI, vol. 6(12), pages 1-17, December.
    6. Mohammed, Nooriya A. & Al-Bazi, Ammar, 2021. "Management of renewable energy production and distribution planning using agent-based modelling," Renewable Energy, Elsevier, vol. 164(C), pages 509-520.
    7. Justo, Jackson John & Mwasilu, Francis & Lee, Ju & Jung, Jin-Woo, 2013. "AC-microgrids versus DC-microgrids with distributed energy resources: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 387-405.
    8. Fei Chen & Dong Liu & Xiaofang Xiong, 2017. "Research on Stochastic Optimal Operation Strategy of Active Distribution Network Considering Intermittent Energy," Energies, MDPI, vol. 10(4), pages 1-23, April.
    9. Roslan, M.F. & Hannan, M.A. & Jern Ker, Pin & Begum, R.A. & Indra Mahlia, TM & Dong, Z.Y., 2021. "Scheduling controller for microgrids energy management system using optimization algorithm in achieving cost saving and emission reduction," Applied Energy, Elsevier, vol. 292(C).
    10. Shan Gao & Yi Zheng & Shaoyuan Li, 2018. "Enhancing Strong Neighbor-Based Optimization for Distributed Model Predictive Control Systems," Mathematics, MDPI, vol. 6(5), pages 1-20, May.
    11. Qais Alsafasfeh & Omar A. Saraereh & Imran Khan & Sunghwan Kim, 2019. "Solar PV Grid Power Flow Analysis," Sustainability, MDPI, vol. 11(6), pages 1-25, March.
    12. Sukumar, Shivashankar & Mokhlis, Hazlie & Mekhilef, Saad & Naidu, Kanendra & Karimi, Mazaher, 2017. "Mix-mode energy management strategy and battery sizing for economic operation of grid-tied microgrid," Energy, Elsevier, vol. 118(C), pages 1322-1333.
    13. Chong Chen & Xuan Zhou & Xiaowei Yang & Zhiheng He & Zhuo Li & Zhengtian Li & Xiangning Lin & Ting Wen & Yixin Zhuo & Ning Tong, 2018. "Collaborative Optimal Pricing and Day-Ahead and Intra-Day Integrative Dispatch of the Active Distribution Network with Multi-Type Active Loads," Energies, MDPI, vol. 11(4), pages 1-22, April.
    14. Yajing Gao & Wenhai Yang & Jing Zhu & Jiafeng Ren & Peng Li, 2017. "Evaluating the Effect of Distributed Generation on Power Supply Capacity in Active Distribution System Based on Sensitivity Analysis," Energies, MDPI, vol. 10(10), pages 1-14, September.
    15. Esther H. Park Lee & Zofia Lukszo & Paulien Herder, 2018. "Conceptualization of Vehicle-to-Grid Contract Types and Their Formalization in Agent-Based Models," Complexity, Hindawi, vol. 2018, pages 1-11, March.
    16. Lv, Tianguang & Ai, Qian, 2016. "Interactive energy management of networked microgrids-based active distribution system considering large-scale integration of renewable energy resources," Applied Energy, Elsevier, vol. 163(C), pages 408-422.
    17. Yongma Moon, 2014. "Optimal Time to Invest Energy Storage System under Uncertainty Conditions," Energies, MDPI, vol. 7(4), pages 1-19, April.
    18. Banaei, Mohsen & Rezaee, Babak, 2018. "Fuzzy scheduling of a non-isolated micro-grid with renewable resources," Renewable Energy, Elsevier, vol. 123(C), pages 67-78.
    19. Fengbing Li & Kaigui Xie & Jiangping Yang, 2015. "Optimization and Analysis of a Hybrid Energy Storage System in a Small-Scale Standalone Microgrid for Remote Area Power Supply (RAPS)," Energies, MDPI, vol. 8(6), pages 1-25, May.
    20. Kermani, Mostafa & Adelmanesh, Behin & Shirdare, Erfan & Sima, Catalina Alexandra & Carnì, Domenico Luca & Martirano, Luigi, 2021. "Intelligent energy management based on SCADA system in a real Microgrid for smart building applications," Renewable Energy, Elsevier, vol. 171(C), pages 1115-1127.

    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:10:y:2017:i:3:p:267-:d:91401. 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.