配电网中不同风机间的地理位置比较靠近,风速会具有较强的相关性。采用逆Nataf变换建立了风速相关性模型,基于蒙特卡洛概率潮流和机会约束规划研究了风速相关性对配电网运行特性和风电最大装机容量的影响,并提出了改进的风电渗透率指标。研究结果表明,风速相关性对配电网运行特性和风电最大装机容量有重要的影响,考虑风速相关性可以更合理地用于指导含风电配电网的规划与运行;改进的风电渗透率指标考虑了风电出力的随机性与波动性,能更准确合理地表征风电接入对电力系统的影响。
Positions of different wind turbine generators connected to the same distribution network are relatively close to one another, so the wind speed has a strong correlation. A wind speed correlation (WSC) model is established by inverse Nataf transformation, and based on Monte Carlo probabilistic load flow and chance constrained programming the impacts of WSC on operation characteristics of distribution network and the maximum installed capacity of wind turbine generators are researched, and an improved index of wind power penetration is proposed. Research results show that WSC greatly impacts both operation characteristics of distribution network and the maximum installed capacity of wind turbine generators, so considering WSC can guide the planning and operation of the distribution network connected with wind turbine generators more reasonably. In the improved index of wind power penetration both randomness and fluctuation of wind power output are considered, so it can characterize the impact of network-connected wind turbine generators on power system more accurately and reasonably.