ISSN 1000-1026
CN 32-1180/TP
  • ISSN 1000-1026
  • CN 32-1180/TP

Citation: ZHANG Bowen,SUN Yonghui,ZHANG Shida.Second-order Cone Programming Based Probabilistic Optimal Energy Flow of Day-ahead Dispatch for Integrated Energy System[J].Automation of Electric Power Systems,2019,43(6):25-33. DOI: 10.7500/AEPS20180510004 copy

Second-order Cone Programming Based Probabilistic Optimal Energy Flow of Day-ahead Dispatch for Integrated Energy System

  • Received Date: May 10, 2018
    Accepted Date: September 16, 2018
    Available Online: January 23, 2019

  • Abstract:

        With the aggravation of energy crisis, re-electrification has become an inevitable choice to solve the problem of energy development. Taking gas-electric integrated energy system(IES)as a new way of re-electrification, second-order cone programming(SOCP)is proposed to solve the probabilistic optimal energy flow of the day-ahead dispatch of IES. Firstly, the day-ahead dispatch of IES model consists of the electric power system(EPS), the natural gas system(NGS)and the energy hub(EH). Then, the day-ahead dispatch of IES model is changed into a convex model and the point estimation method is used to solve the probabilistic optimal energy flow of the day-ahead dispatch. Finally, a typical case study indicates that the algorithm is correct and effective on the YALMIP platform in MATLAB.


  • Keywords:

    day-ahead dispatch; integrated energy system; probabilistic optimal energy flow; point estimation; second-order cone programming


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