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An enhanced SOCP-based method for feeder load balancing using the multi-terminal soft open point in active distribution networks

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  • Ji, Haoran
  • Wang, Chengshan
  • Li, Peng
  • Zhao, Jinli
  • Song, Guanyu
  • Ding, Fei
  • Wu, Jianzhong

Abstract

The integration of distributed generators (DGs) exacerbates the feeder power flow fluctuation and load unbalanced condition in active distribution networks (ADNs). The unbalanced feeder load causes inefficient use of network assets and network congestion during system operation. The flexible interconnection based on the multi-terminal soft open point (SOP) significantly benefits the operation of ADNs. The multi-terminal SOP, which is a controllable power electronic device installed to replace the normally open point, provides accurate active and reactive power flow control to enable the flexible connection of feeders. An enhanced SOCP-based method for feeder load balancing using the multi-terminal SOP is proposed in this paper. By regulating the operation of the multi-terminal SOP, the proposed method can mitigate the unbalanced condition of feeder load and simultaneously reduce the power losses of ADNs. Then, the original non-convex model is converted into a second-order cone programming (SOCP) model using convex relaxation. To tighten the SOCP relaxation and improve the computation efficiency, an enhanced SOCP-based approach is developed to solve the proposed model. Finally, case studies are performed on the modified IEEE 33-node system to verify the effectiveness and efficiency of the proposed method.

Suggested Citation

  • Ji, Haoran & Wang, Chengshan & Li, Peng & Zhao, Jinli & Song, Guanyu & Ding, Fei & Wu, Jianzhong, 2017. "An enhanced SOCP-based method for feeder load balancing using the multi-terminal soft open point in active distribution networks," Applied Energy, Elsevier, vol. 208(C), pages 986-995.
  • Handle: RePEc:eee:appene:v:208:y:2017:i:c:p:986-995
    DOI: 10.1016/j.apenergy.2017.09.051
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    1. Hung, Duong Quoc & Mithulananthan, N. & Bansal, R.C., 2014. "Integration of PV and BES units in commercial distribution systems considering energy loss and voltage stability," Applied Energy, Elsevier, vol. 113(C), pages 1162-1170.
    2. Long, Chao & Wu, Jianzhong & Thomas, Lee & Jenkins, Nick, 2016. "Optimal operation of soft open points in medium voltage electrical distribution networks with distributed generation," Applied Energy, Elsevier, vol. 184(C), pages 427-437.
    3. Da, Zhi & Huang, Dayong & Yun, Hayong, 2017. "Industrial Electricity Usage and Stock Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(1), pages 37-69, February.
    4. Kabir, M.N. & Mishra, Y. & Ledwich, G. & Xu, Z. & Bansal, R.C., 2014. "Improving voltage profile of residential distribution systems using rooftop PVs and Battery Energy Storage systems," Applied Energy, Elsevier, vol. 134(C), pages 290-300.
    5. Cao, Wanyu & Wu, Jianzhong & Jenkins, Nick & Wang, Chengshan & Green, Timothy, 2016. "Operating principle of Soft Open Points for electrical distribution network operation," Applied Energy, Elsevier, vol. 164(C), pages 245-257.
    6. Eric W. T. Ngai & Angappa Gunasekaran & Samuel Fosso Wamba & Shahriar Akter & Rameshwar Dubey, 2017. "Big data analytics in electronic markets," Electronic Markets, Springer;IIM University of St. Gallen, vol. 27(3), pages 243-245, August.
    7. Savić, Aleksandar & Đurišić, Željko, 2014. "Optimal sizing and location of SVC devices for improvement of voltage profile in distribution network with dispersed photovoltaic and wind power plants," Applied Energy, Elsevier, vol. 134(C), pages 114-124.
    8. Rashidova E.A., 2017. "Agent-based modeling of wholesale electricity market," World of economics and management / Vestnik NSU. Series: Social and Economics Sciences, Socionet, vol. 17(1), pages 70-85.
    9. Wang, Chengshan & Song, Guanyu & Li, Peng & Ji, Haoran & Zhao, Jinli & Wu, Jianzhong, 2017. "Optimal siting and sizing of soft open points in active electrical distribution networks," Applied Energy, Elsevier, vol. 189(C), pages 301-309.
    10. Cao, Wanyu & Wu, Jianzhong & Jenkins, Nick & Wang, Chengshan & Green, Timothy, 2016. "Benefits analysis of Soft Open Points for electrical distribution network operation," Applied Energy, Elsevier, vol. 165(C), pages 36-47.
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    1. Zhang, Tao & Mu, Yunfei & Dong, Lei & Jia, Hongjie & Pu, Tianjiao & Wang, Xinying, 2023. "Fully parallel decentralized load restoration in coupled transmission and distribution system with soft open points," Applied Energy, Elsevier, vol. 349(C).

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