Multi-time scale optimal scheduling of regional integrated energy system considering wind power correlation

被引：0

作者：

Chen Z. ^{[1
]}

Wen B. ^{[1
]}

Zhu Z. ^{[1
,2
]}

机构：

[1] College of Electrical Engineering and Automation, Fuzhou University, Fuzhou

[2] Fujian Province University, Engineering Research Center of Smart Distribution Grid Equipment, Fuzhou

来源：

Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2023年 / 43卷 / 08期

关键词：

heat and power; hierarchy of cold; linear polyhedron set; model predictive control; multi-time scale; regional integrated energy system;

D O I：

10.16081/j.epae.202212013

中图分类号：

学科分类号：

摘要：

The uncertainty of source and load along with the wind power correlation can make the scheduling results of regional integrated energy system less credible. To solve this problem，taking the minimum comprehensive operation cost as the objective，a scheduling model of regional integrated energy system with multi-time scale is proposed. In the day-ahead stage，the two-stage robust optimization model considering wind power correlation is proposed，and the column-and-constraint generation method is used for the iterative solution. In the intra-day scheduling stage，the different response rates of cold，heat and power are considered，and the hierarchical rolling optimization model of cold，heat and power based on model predictive control is proposed to further eliminate the fluctuation of source and load power. The simulative results show that the robust optimization method considering the wind power correlation reduces conservatism and improves economy. The economic and stable operation of regional integrated energy system is realized by using model predictive control in the hierarchical optimization of cold，heat and power. © 2023 Electric Power Automation Equipment Press. All rights reserved.

引用

页码：25 / 32

页数：7

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