电力系统自动化2018，Vol.42Issue(13)：36-42,7.DOI:10.7500/AEPS20170823002
电-气互联综合能源系统多时间尺度动态优化调度
Dynamic Optimal Dispatch with Multiple Time Scale in Integrated Power and Gas Energy Systems
摘要
Abstract
Aimed at spatio-temporal correlation of natural gas line-pack,it is significant to use multiple time scale and model predictive control.Considering the slow dynamic characteristics of natural gas pipeline network and the time interval coupling effect of transient variables of natural gas system,a multiple time scale optimal scheduling strategy based on model predictive control is proposed,which makes the control process of computing the active power outputs and gas production by gas resource more smoothly.And then,taking the active power output and gas production obtained by day-ahead scheduling as reference values,the multi-step rolling optimization based on model predictive control is carried out in intra-day scheduling.Finally,the modified IEEE 24-node power system and the Belgian 20-node natural gas system are used to verify the feasibility and effectiveness of optimization scheduling strategy,and the influences on the operation of the integrated power and gas energy systems of natural gas line-pack are analyzed.关键词
电-气互联综合能源系统/模型预测控制/多时间尺度/暂态能量流模型/动态优化调度Key words
integrated power and gas energy systems/model predictive control/multiple time scale/transient energy-flow model/dynamic optimal dispatch引用本文复制引用
梅建春,卫志农,张勇,马洲俊,孙国强,臧海祥..电-气互联综合能源系统多时间尺度动态优化调度[J].电力系统自动化,2018,42(13):36-42,7.基金项目
国家自然科学基金资助项目(51277052). 本文受到江苏省电力公司科技项目(J2018066)资助,特此感谢! This woek is supported by National Natural Science Foundation of China(No.51277052). （51277052）
