摘要：Renewable energy power generation could increase the uncertainties of power system with intermittent and stochastic performance, which has significant effect on Available Transfer Capability (ATC). With the rapid development of renewable energy power generation technology as well as the gradual maturity of power market, it has become essential to research the effect specially. The wind generator was simulated by applying the PX model based on the induction generator principle, and the solar power generator was regarded as PQ node. According to the above, the Optimal Power Flow (OPF) model to calculate the ATC was established, which could reflect the characteristics of wind and solar power.The intermittent and stochastic output and load wave, state uncertainty of the system equipment were simulated by applying Monte Carlo simulation. The Differential Evolution algorithm was improved to solve the OPF on ATC. Simulation could be made by improved IEEE118 system involving wind and solar power, the results show that with the algorithm the ATC can be calculated rapidly and accurately, in addition, the influence on ATC can be estimate effectively.
关键词：available transfer capability;renewable energy power generation;Monte Carlo simulation;differential evolution algorithm
