分布式能源2024，Vol.9Issue(3)：55-64,10.DOI:10.16513/j.2096-2185.DE.2409307
计及风光不确定性和相关性的虚拟电厂参与电-碳-绿证市场优化调度
Optimization Scheduling of Virtual Power Plants Participating in Electric Energy Trade-Carbon Trade-Green License Trade Considering Uncertainty and Correlation of Wind Power and PV
摘要
Abstract
The injection of a high percentage of renewable energy sources introduces many uncertainties into the virtual power plant.If these uncertainty sources are ignored or inaccurately characterized,it will bring great risks to the operation and scheduling of the virtual power plant.In order to solve this problem,this paper considers the correlation of wind and solar energy sources in the virtual power plant,and utilizes Frank-Copula as a"connectivity function"to solve the joint distribution function of wind and solar power,so as to generate a typical scenario of wind and solar power.In order to minimize the operating cost of the virtual power plant,this paper comprehensively considers the electricity-carbon-green certificate market and the incentive-based demand response mechanism.The interval method,stepped carbon price,and Gounod model are used to describe the uncertainties of demand response,carbon price,and green certificate price,respectively,and an optimization scheduling model for virtual power plants based on interval linear programming is constructed.The case study results show that the model is able to quantify the risk of each component's uncertainty on the virtual power plant dispatch,and ensure the safe and reliable operation of the virtual power plant with a certain degree of economy at the same time.关键词
虚拟电厂/多重不确定性/场景生成/需求响应/碳交易/绿证交易/优化调度Key words
virtual power plants/multiple uncertainties/scene generation/demand response/carbon trading/green certificate trading/optimization scheduling分类
能源与动力引用本文复制引用
陶泽飞,刘敏,何旺..计及风光不确定性和相关性的虚拟电厂参与电-碳-绿证市场优化调度[J].分布式能源,2024,9(3):55-64,10.基金项目
贵州省科技计划项目(黔科合支撑[2021]一般409)This work is supported by Science and Technology Program of Guizhou Province(Qiankehe Support[2021]General 409) （黔科合支撑[2021]一般409）
