ZHANG Na, ZHAO Lin, GUO Litao, ZHANG Mingli, XU Xilin, LI Jinqi, LI Weidong. Research on Fast Probabilistic Production Simulation Algorithm for Frequency Response Capacity Planning[J]. Modern Electric Power, 2023, 40(3): 352-362. DOI: 10.19725/j.cnki.1007-2322.2021.0322
Citation: ZHANG Na, ZHAO Lin, GUO Litao, ZHANG Mingli, XU Xilin, LI Jinqi, LI Weidong. Research on Fast Probabilistic Production Simulation Algorithm for Frequency Response Capacity Planning[J]. Modern Electric Power, 2023, 40(3): 352-362. DOI: 10.19725/j.cnki.1007-2322.2021.0322

Research on Fast Probabilistic Production Simulation Algorithm for Frequency Response Capacity Planning

  • In the new power system frequency response capacity planning, due to the need of taking frequency dynamic process into account the time-domain simulation has to be performed, and the existing probabilistic production simulation method, in which only the power deviation between supply and requisitioning parties is considered, is no longer applicable. In allusion to the multi-resource structure of the new power grid, a probabilistic production simulation algorithm framework, in which wind power, thermal power, gas turbine power generation, hydropower and energy storage equipment were considered, was designed. Based on parameter aggregation and the inertial link fitting a multi-resource system frequency response aggregation model was established. By means of open loop of the system the analytical analysis on the maximum frequency deviation was realized, furthermore, the goal of fast analyzing frequency dynamic process was achieved. Results of simulation example show that comparing with traditional time-domain simulation-based method, by use of the established method and on the premise of satisfying the calculation accuracy the computational efficiency is evidently improved, thus, the demand of making fast frequency response reserve capacity plan can be better satisfied.
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