高比例可再生能源渗透下多虚拟电厂多时间尺度协调优化调度

考虑可再生能源出力、电力负荷和电价等一系列不确定性因素，提出了高比例可再生能源渗透下的多虚拟电厂日内两阶段优化调度模型。该模型通过对多虚拟电厂中运行设备小时级时间尺度和分钟级时间尺度的协调优化，达到分级消除系统中随机和扰动因素的影响，实现高比例可再生能源的安全消纳。并且在多虚拟电厂优化调度模型中，借助Markowitz均值-方差理论，提出利润函数的风险刻画，准确描述不确定性的影响。最后，通过算例分析，说明所提出模型可有效降低决策风险和不确定性因素的影响。

Multi-time Scale Coordination Optimal Scheduling of Multiple Virtual Power Plants with High-penetration Renewable Energy Integration

Considering a series of uncertain factors such as renewable energy output， power load and electricity price， the paper proposes a two-stage optimal scheduling model of multiple virtual power plants with high-penetration renewable energy integration. Based on the coordination and optimization of hourly time scale and minute time scale for the equipment in multi-virtual power plants， the model can eliminate the influence of random and disturbance factors in the system hierarchically and realize the safety integration of the high-penetration renewable energy. In addition， in the optimal scheduling model， the risk characterization of profit function is proposed to accurately describe the influence of the uncertain factors with the help of Markowitz mean-variance theory. Finally， an example is given to show that the proposed model can effectively reduce the risk and uncertainty of decision making.