基于机器学习的虚拟电厂风光储协同运行策略优化

Optimisation of Wind-Solar-Storage Cooperative Operation Strategy for Virtual Power Plant based on Machine Learning

本文针对新能源接入虚拟电厂运行负荷的有效调控以及电力系统的稳定运行问题,提出一种基于机器学习的虚拟电厂风光储协同运行策略优化方法。以虚拟电厂风光储协同运行为基准,利用概率特性模型获取风光出力对应参数,进而刻画虚拟电厂在风光储能协同下的源荷出力特征;通过机器学习的多维度筛选模式,结合过滤式算法构建特征评估函数,以感知虚拟电厂风光储协同运行的过程;根据目标函数的相关度,并参考不同特征的属性类别,运用特征分级理论建立分级结构;采用证据推理方式对特征进行排序,从而确定虚拟电厂风光储协同运行策略,并完成优化方法的设计。实验结果显示,在包含四组风电场和光伏系统的电力系统测试环境中,应用新的协同优化策略于不同的机组调控模式,能够实现协同运行指标的精确调控。此方法既能确保风光储能并入电力系统后的稳定运行,又能优化火电机组的最大出力,具有实际应用价值。

Aiming at the effective regulation of the operating load of virtual power plants with new energy access and the stable operation of the power system,a machine learning-based optimisation method for the cooperative operation strategy of virtual power plants with wind,light and storage is proposed.Taking the virtual power plant wind,light and storage cooperative operation as a benchmark,the probabilistic characteristic model is used to obtain the corresponding parameters of wind and light output,and then the source and load output characteristics of the virtual power plant under the wind,light and storage cooperative operation are portrayed;through the multi-dimensional filtering mode of machine learning,combined with the filtering algorithm to construct the feature evaluation function,in order to perceive the process of the wind,light and storage cooperative operation of the virtual power plant;based on the relevance of the objective function,and with reference to the attributes of the different features categories,using the feature grading theory to establish the grading structure;using evidential reasoning to rank the features,so as to determine the cooperative operation strategy of virtual power plant wind energy storage and complete the design of the optimisation method.The experimental results show that,in a power system test environment containing four groups of wind farms and photovoltaic systems,the application of the new co-optimisation strategy to different unit regulation modes can achieve the precise regulation of the co-operation operation indexes.This method can ensure the stable operation of wind and solar energy storage after integration into the power system and optimise the maximum output of thermal power units,which has practical application value.