多重不确定性的虚拟电厂随机优化调度分析  

Analysis of Stochastic Optimization Scheduling for Virtual Power Plants under Multiple Uncertainties

作　　者：丁浩 焦杰 张玉龙 Ding Hao;Jiao Jie;Zhang Yu-long(State Grid Shandong Electric Power Company,Dongying Power Supply Company,Dongying 257091,Shandong Province,)

机构地区：[1]国网山东省电力公司东营供电公司,山东东营257091

出　　处：《科学与信息化》2025年第8期109-111,共3页Technology and Information

摘　　要：本文以解决分散化小容量的分布式电源调度问题为研究目标,着重分析了风场最大出力的不确定因素,从虚拟电厂视角出发,详细地介绍了虚拟电厂不确定性源的识别要点,并结合实际情况实行优化调度仿真,以预期最高收益为仿真目标,制定完整的优化调度模型,以便于更加直观地发现虚拟电厂的运行优势,提高既有资源利用率,为顺利实现“双碳”目标奠定有利基础。This paper aims to address the scheduling problem of decentralized small-capacity distributed power sources,with a particular focus on the uncertainties associated with the maximum output of wind farms.From the perspective of virtual power plants,the paper provides a detailed introduction to the identification of uncertainty sources in virtual power plants.It then implements an optimization scheduling simulation based on actual conditions,with the objective of maximizing expected revenue.A comprehensive optimization scheduling model is formulated to more intuitively reveal the operational advantages of virtual power plants,enhance the utilization rate of existing resources,and lay a favorable foundation for the smooth achievement of the“dual carbon”goals.

关 键 词：虚拟电厂 随机优化调度 多重不确定性 

分 类 号：TM73[电气工程—电力系统及自动化]