location:Home > 2024 Vol.7 Jun.N03 > An optimal scheduling method for multiregional power systems accounting for uncertainty

2024 Vol.7 Jun.N03

  • Title: An optimal scheduling method for multiregional power systems accounting for uncertainty
  • Name: XiaoLong Xu1, HaiZhou Zhao 2, HanBing Xu 3
  • Company: 1. State Grid Wuqiang County Power Supply Company, Hengshui 053000, China) (2. State Grid Hengshui Power Supply Company, Hengshui 053000, China) (3. State Grid Raoyang County Power Supply Company,Hengshui 053000, China)
  • Abstract:

    Due to the combined effects of wind speed, wind direction, wind turbine performance, environmental factors and other factors, wind power output has unpredictable and fluctuating characteristics, which can lead to poor scheduling of the power system. In this regard, a multi-area power system optimal scheduling method taking into account uncertainty is proposed. Firstly, MCMC is combined with complexity to realize the modeling of wind power output uncertainty by calculating the state transfer rate matrix of wind power output. Then, based on the wind power output forecasts reported by wind farms to the dispatch, the optimal allocation coefficients of the upper and lower spinning reserve capacities of AGC units are determined by taking the minimum value of the unit generation cost as the optimization objective. Finally, the nonlinear and nonconvex parts of the original model are transformed so as to realize the solution of the scheduling scheme. Finally, the practical effect of the proposed practical method in scheduling performance is verified by constructing an experimental comparison session. By visualizing and analyzing the results, it is clear that the optimal output value of the power system units is significantly higher under the scheduling method, which has a more ideal scheduling effect.


  • Keyword: wind power uncertainty; power system; optimal dispatch; unit output;
  • DOI: 10.12250/jpciams2024090612
  • Citation form: XiaoLong Xu.An optimal scheduling method for multiregional power systems accounting for uncertainty[J]. Computer Informatization and Mechanical System,2024,Vol.7,pp.52-56
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