Grid Congestion& Voltage Profile Management in Distributed Generation using UPQC with MOABC Algorithm

  • Authors

    • Mallavolu Malleswararao Research Scholar Anna University Chennai
    • Dr. Geetha Ramadas
    2020-06-04
    https://doi.org/10.14419/e.v3i1.30567
  • Distributed Generation, Congestion, UPQC, DG Size and Optimal Locations, MOABC Algorithm.

  • Distributed Generation (DG) is the present-day trend into cutting-edge control rule networks. It is mostly designed because of local electricity utilization where transmission losses are left out or such may additionally provide both pragmatic then pecuniary benefits. The development on deregulated rule structures has born in overloading transmission networks yet network congestion. Congestion has significant effect regarding monitoring systems, along with severe law damage. Congestion takes place now grid fails in conformity with switch rule based regarding the burden demand. These problems are managed the use of congestion administration methods, which lead an essential function of modern deregulated rule systems. Several techniques hold been proposed in conformity with boss congestion. Here SRF concept primarily based UPQC including Multi objective optimization has been ancient in imitation of improve the regulation common overall performance as nicely so because the dedication of choicest DG bulk or locations. The effectiveness regarding the proposed technique is examined over IEEE 33-bus system.

     

     

     


  • References

    1. [1] Elisa Span, Luca Niccolini, Stefano Di Pascoli, then Giuseppe Iannaccone, IEEE Senior Member,†Last-Meter Smart Grid Embedded in an Internet-of-Things Plat-form†IEEE Transactions regarding Smart Grid, Volume: 6, Issue: 1, pp. 468 - 476, Jan. 2015. https://doi.org/10.1109/TSG.2014.2342796.

      [2] Qie Sun; Hailong Li; Zhanyu Ma; Chao Wang; Javier Campillo; Qi Zhang; Fredrik Wallin; Jun Guo A Comprehensive Review regarding Smart Energy Meters within Intelligent Energy Networks IEEE Internet of Things Journal, Volume: 3, Issue: 4, pp. 464 - 479, Aug. 2016. https://doi.org/10.1109/JIOT.2015.2512325.

      [3] Kun-Lin Tsai; Fang-YieLeu; Ilsun You Residence Energy Control System Based about Wireless Smart Socket and IoT IEEE Access, Volume: 4, pp. 2885 - 2894, May 2016. https://doi.org/10.1109/ACCESS.2016.2574199.

      [4] Francesco Benzi, Member, IEEE, Norma Anglani, Member, IEEE, EzioBassi, or Lucia Frosini Electricity Smart Meters Interfacing the Households IEEE Transac-tions over Industrial Electronics, Vol. 58, No. 10, Oct. 2011. https://doi.org/10.1109/TIE.2011.2107713.

      [5] In-Ho Choi, Joung-Han Lee, Seung-Ho Hong Implementation then Evalua-tion over the Apparatus because of Intelligent Energy Management in accordance with Apply in imitation of the Smart Grid at Home Instrumentation and Measurement Technology Conference (I2MTC),Binjiang, China 2011 IEEE 07 July 2011. https://doi.org/10.1109/IMTC.2011.5944215.

      [6] Qinran Hu, Student Member, IEEE, and Fangxing Li, Senior Member, IEEE Hard-ware Design on Smart Home Energy Management System with Dynamic Price Response IEEE Transactions of Smart Grid, Volume: 4, Issue: 4, pp.1878 - 1887 Dec. 2013. https://doi.org/10.1109/TSG.2013.2258181.

      [7] F. A. Qayyum; M. Naeem; A. S. Khwaja; A. Anpalagan Appliance scheduling op-timization into smart home networks 2015 IEEE Electrical Power and Energy Con-ference (EPEC) pp. 457 - 462, Oct. 2015.

      [8] Qi Liu, Member, IEEE, Grahame Cooper, Nigel Linge, Haifa Takruri or Richard Sowden DEHEMS: Creating a Digital aura because of Large-Scale Energy Man-agement at Homes IEEE Transactions regarding Consumer Electronics, Vol. 59, No. 1, Feb. 2013. https://doi.org/10.1109/TCE.2013.6490242.

      .

  • Downloads

    Additional Files

  • How to Cite

    Malleswararao, M., & Geetha Ramadas, D. (2020). Grid Congestion& Voltage Profile Management in Distributed Generation using UPQC with MOABC Algorithm. SPC Journal of Energy, 3(1), 1-9. https://doi.org/10.14419/e.v3i1.30567