【摘要】 随着风电装机规模不断扩大，如何增强电网对风电的消纳能力并提高电力系统优化调度的经济性成为亟待解决的问题。由于风电出力具有不确定性，现有的预测方法无法实现对风电出力较高精度的预测，因此风电接入将会给电力系统带来较多的不确定因素。采用静态场景法生成风电出力场景集，并在电力现货市场环境下，建立了基于风电出力场景集的两阶段随机规划模型，以应对风电大规模集中式并网给电力系统带来的冲击。该模型以风电出力场景集刻画风电出力在实时调度阶段的不确定性，以电力现货市场中日前市场的燃料成本与实时市场中各场景下实时调节的期望成本之和为优化目标。最后在IEEE-30节点系统进行仿真，验证了该模型的有效性。更多还原

【Abstract】 As the latest generation of communication technology with high speed,low latency,and mass access,5G provides a reliable communication network for the construction of smart grids and accelerating energy transformation.Based on 5G communication and combining with the characteristics of the power grid,this paper designs a built-in power communication terminal with small size,high performance and compatible with a variety of power equipment,and proposes a 5G scheme for load control service and conducts application tests.The test results show that the 5G built-in communication terminal can meet the power specification requirements in terms of electrical performance and transmission characteristics,and it can effectively carry load control services,which has broad application prospects in power systems.更多还原