摘要
新能源的大规模并网为电力系统的稳定经济运行引入了复杂的不确定性。已有的电力系统经济调度模型研究中,对于多维新能源之间出力相关特性的考虑较少,建模精细度有待提高。为准确描述高维新能源间的出力相关特性,基于动态C藤pair-Copula理论建立了高维相依新能源出力的动态Copula模型。同时,着眼于解决高维新能源接入系统后,求解动态经济调度模型效率不高的问题,首先利用多学科协同优化算法针对误差场景分解实际模型,从而得到各子学科场景的动态经济调度模型;其次,对包含系统级和误差场景级的双层优化模型进行循环交互的降维求解,提升引入高维相依新能源的协同优化调度计算效率。最后,通过IEEE118节点系统的仿真建模算例,验证了文中所提模型及算法的有效性和实用性。
The large-scale grid-connection of new energy sources introduces complex uncertainties for the stable and economic operation of power systems. In the existing economic dispatching models of power systems, the correlation characteristics of power output between multi-dimensional renewable energy sources are less considered, and the precision of modeling needs to be improved.In order to accurately describe the output-related characteristics of high-dimensional new energy, a dynamic Copula model of high-dimensional dependent new energy output is established based on the dynamic C-vine pair-Copula theory.At the same time, in order to solve the problem of low efficiency in solving the dynamic economic scheduling model after high-dimensional new energy access system, firstly, a multi-disciplinary collaborative optimization algorithm is used to decompose the actual model according to the error scenario. Secondly, the two-level optimization model including system level and error scenario level is solved by cyclic interaction to improve the efficiency of collaborative optimization scheduling with high-dimensional dependent new energy. Finally, a simulation example of IEEE118 bus system is given to verify the effectiveness and practicability of the proposed model and algorithm.
作者
宁楠
范俊秋
徐潘宇驰
程培军
林盛振
谢敏
NING Nan;FAN Junqiu;XU-PAN Yuchi;CHENG Peijun;LIN Shengzhen;XHE Min(Guian Power Supply Bureau of Guizhou Power Grid Co.,Ltd.,Guian 550003 Guizhou,China;Tianhe Power Supply Bureau of Guangdong Power Grid Co.,Ltd.,Guangzhou 510075 Guangdong,China;South China University of Technology,Guangzhou 510640 Guangdong,China)
出处
《电力大数据》
2021年第4期26-34,共9页
Power Systems and Big Data
关键词
高维新能源
出力相关性
动态经济调度
场景分析
多学科协同优化
multi-dimensional renewable energy
output correlation
dynamic economic dispatch
scenario analysis
multidisciplinary collaborative optimization
