摘要
综合能源系统能协调各种设备并使其优化运行,已成为研究的重点。文章在日前调度阶段,综合考虑各类设备的燃料成本、运营维护成本以及IES与外网的交互成本,建立了以IES运行成本最低为目标的经济调度模型,分析了需求响应对IES经济性的影响;在日内调度阶段,考虑了各类用能负荷调度时间的差异性,提出考虑多时间尺度的分层滚动优化调度模型,确保了日前计划的合理性及系统运行的稳定性。在制定日前调度计划的基础上,建立日内滚动调度,并采用MPC算法进行求解分析,保证调度计划的合理性和系统运行的稳定性。算例分析结果表明,文章调度方法可发挥各设备运行的优越性,IES经济性有明显提升。算法对比显示,文章所提算法具有更好的收敛性,验证了所提模型与算法的有效性。
Integrated energy system,as the physical carrier of the energy internet,can coordinate and optimize the operation of various devices,so the formulation of a reasonable and effective scheduling strategy has become the focus of the current research.In the day-ahead dispatching stage,considering the fuel cost,operation and maintenance cost of all kinds of equipment and interaction cost between IES and the external network,an economic dispatching model with the lowest operating cost of IES is established,and the influence of demand response on the economy of IES is analyzed.In the intra-day scheduling phase,considering the difference of scheduling times of all kinds of energy-consuming loads,a hierarchical rolling optimal scheduling model considering multi-time scales is proposed,which ensures the rationality of the day-ahead plan and the stability of the system operation.On the basis of the day-ahead scheduling plan,the intra-day rolling scheduling is established and the MPC algorithm is used to solve the problem to ensure the rationality of the scheduling plan and the stability of the system operation.The results of the examples show that the scheduling method in this paper can give full play to the advantages of the operation of each equipment,and the economy of IES has been significantly improved.The comparison of algorithms shows that the proposed algorithm has better convergence,which verifies the effectiveness of the model and algorithm proposed in this paper.
作者
杨茂
崔宇
马苗苗
顾大可
黄大为
苏欣
Yang Mao;Cui Yu;Ma Miaomiao;Gu Dake;Huang Dawei;Su Xin(Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology,Ministry of Education Northeast Electric Power University,Jilin 132012,China)
出处
《可再生能源》
CAS
CSCD
北大核心
2023年第9期1239-1246,共8页
Renewable Energy Resources
基金
国家电网有限公司科技项目(52230020002J)。
关键词
综合能源系统
需求响应
多时间尺度
模型预测控制
integrated energy system
demand response
multi-time scale
model predictive control
