摘要
对于“双碳”背景下光热电站参与的综合能源系统,建立了碳交易机制下考虑源侧出力和荷侧需求不确定性的多能耦合区域综合能源系统两阶段鲁棒优化配置与优化运行模型。模型中针对不确定性调节参数的设定,使运行方案更具灵活性。然后,基于列与约束生成算法和拉格朗日对偶法,将原问题分解为主问题和子问题迭代求解。最后,通过仿真算例验证了所提方法。结果表明本方法能有效减少不确定性因素导致系统容量配置波动大的问题,并能够降低综合调度成本;同时光热电站的参与运行使得系统能够兼顾低碳性和经济性。
Aiming at the integrated energy system involving concentrating solar power stations under the background of“double carbon”,a two-stage robust optimal allocation and optimal operation model of multi-energy coupled regional integrated energy system considering the uncertainty of source-side output and load-side demand under the carbon trading mechanism is established.The uncertainty adjustment parameters are introduced into the model to make the scheduling scheme more flexible.Then,based on the column and constraint generation algorithm and Lagrange dual method,the original problem is decomposed into the main problem and the sub-problem to solved iteratively.Finally,the proposed method is verified by a simulation example.The results show that the proposed method can effectively reduce the problem of large fluctuation of system capacity allocation caused by uncertainty factors,and reduce the comprehensive scheduling cost.At the same time,the participation of the concentrating solar power stations enable the system to take into account both low-carbon and economical.
作者
曾贤强
张奕
王晓兰
ZENG Xianqiang;ZHANG Yi;WANG Xiaolan(College of Electrical and Information Engineering,Lanzhou University of Technology,Lanzhou 730050;Key Laboratory of Advanced Control of Industrial Process of Gansu Province,Lanzhou University of Technology,Lanzhou 730050;National Experimental Teaching Demonstration Center of Electrical and Control Engineering,Lanzhou University of Technology,Lanzhou 730050)
出处
《电气工程学报》
CSCD
2023年第4期300-309,共10页
Journal of Electrical Engineering
基金
国家自然科学基金(61963024)
甘肃省重点研发(20YF8NA059)
甘肃省自然科学基金(21JR7RA211)资助项目。
关键词
区域综合能源系统
光热电站
鲁棒优化
列与约束生成算法
不确定性
Regional integrated energy system
concentrating solar power stations
robust optimization
column and constraint generation algorithm
uncertainty
