摘要
面向由分布式电源与储能组成的虚拟电厂,提出了一种计及风险的2阶段鲁棒优化调度模型,以应对分布式可再生能源的不确定性对虚拟电厂运行带来的影响。该模型第1阶段对鲁棒模型的不确定集进行优化,同时评估弃可再生能源风险与失负荷风险;第2阶段则在优化的不确定集内寻找最恶劣的运行场景,并对该场景下的虚拟电厂运行成本进行优化。2阶段模型协同求解,可以确定合适的鲁棒模型不确定集,并制定应对最恶劣运行场景的调度方案,保证虚拟电厂运行的经济性与安全性。通过对2类风险进行线性化,所提模型可采用目前最先进的列约束生成算法进行求解。最后用算例分析验证了所提模型的有效性。
In allusion to virtual power plants composed of distributed generators and energy storages,a two-stage robust optimal scheduling model,in which the risk was taken into account,was proposed to deal with the impact of distributed renewable energy uncertainty on the operation of virtual power plants.In the first stage of this model the uncertainty set of the robust model was optimized,meanwhile the risk of renewable energy curtailment and that of loss of load were evaluated.In the second stage,the worst operation scenario was searched within the optimized uncertainty set,and the operation cost of the virtual power plant under this scenario was optimized.Cooperatively solving the two stage models,an appropriate robust model uncertainty set could be determined and a dispatching scheme to cope with the worst operation scenario could be enacted to ensure both economy and security of virtual power plant operation.By means of the linearization of the two kinds of risks,the proposed model could be solved by the state of the art column-and-constraint generation algorithm.Finally,the effectiveness of the proposed model is verified by case study.
作者
蒋方帅
曹俊波
周志华
左鹿原
蒋家富
刘方
JIANG Fangshuai;CAO Junbo;ZHOU Zhihua;ZUO Luyuan;JIANG Jiafu;LIU Fang(China Huadian Group Co.,Ltd.Shanghai Branch,Pudong New District,Shanghai 200126,China;Shanghai Fengxian Gas Turbine Power Generation Co.,Ltd,Fengxian District,Shanghai 201403,China;College of Electrical Engineering,Shanghai University of Electric Power,Yangpu District,Shanghai 200090,China)
出处
《现代电力》
北大核心
2023年第4期570-576,共7页
Modern Electric Power
关键词
虚拟电厂
可再生能源
储能
不确定性
鲁棒优化调度
风险
virtual power plant
renewable energy
energy storage
uncertainty
robust dispatch
risk
