孤立微网中微源的黑启动能力

从各微源特性出发对微源的黑启动能力进行了深入的研究，应用贝叶斯决策网制定了根据效用值选取微网黑启动主参考源的优化策略.在MATLAB/Simulink平台搭建了燃气轮机、蓄电池、光伏和风力发电模型，通过仿真试验对比了各个微源的黑启动能力，并通过算例验证了贝叶斯优化决策方法的可行性.分析结果表明，微型燃气轮机与蓄电池由于其良好的功率输出能力与输出电压的稳定性,是良好的微网黑启动源，光伏发电与风力发电由于受外界影响较大而不适合作为黑启动源.
Based on the characteristics of each microsource, the black start capability of microsources is researched and Bayesian decision method is applied to optimize the selection plan of black start primary reference source under different initial conditions. The models of microturbine, battery, solar and wind power generation are built in MATLAB/Simulink platform. By the simulation results, the black start capability of each microsource is compared and the feasibility of Bayesian decision method is validated. The results show that the microturbine and battery are good black start sources in microgrids due to their excellent capability of power output and the stability of voltage output. Photovoltaic power generation and wind power generation influenced by the outside environment are not suitable as black start sources