Optimal Scheduling for Power Systems with High Proportion New Energy Considering Cloud Side Collaboration
In order to cope with the challenges brought by the randomness and volatility of new energy to the safe scheduling of power systems,it is highly necessary to use cloud edge collaboration technology to achieve efficient scheduling.The application scenarios of cloud edge collaboration technology in high proportion new energy power systems were analyzed,combined with the generation characteristics and uncertainty analysis of new energy generation,an optimization scheduling method was proposed for high proportion new energy power systems considering cloud edge collaboration technology.Through simulation verification,it is shown that the proposed scheduling method can effectively address the uncertainty problem of new energy generation,and can achieve collaborative optimization of new energy output at edge nodes,charging and discharging of energy storage equipment,and load reduction response,effectively reducing the solving pressure of optimized problems and helping to solve new energy optimization scheduling problems in practice.
cloud edge collaborationelectric power systemoptimal schedulingedge computingnew energy generation