Source-Grid-Load Synergized Transmission Planning

被引：0

作者：

Sun, Donglei ^{[1
]}

Jian, Qingzhi ^{[1
]}

Li, Xueliang ^{[1
]}

Zhao, Long ^{[1
]}

Wang, Yiqun ^{[1
]}

Liu, Dong ^{[1
]}

Mu, Ying ^{[1
]}

Han, Xueshan ^{[2
]}

Wang, Mingqiang ^{[2
]}

机构：

[1] State Grid Shandong Elect Power Co, Econ & Technol Res Inst, Jinan, Peoples R China

[2] Shandong Univ, Key Lab Power Syst Intelligent Dispatch & Control, Minist Educ, Jinan, Peoples R China

来源：

2020 CHINESE AUTOMATION CONGRESS (CAC 2020) | 2020年

关键词：

Transmission planning; thermal power units' flexibility reformation; demand response;

D O I：

10.1109/CAC51589.2020.9326484

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A source-grid-load synergized transmission planning method is proposed to deal with the large-scale wind power accommodation problem. Through integration of the optimization of demand side response mechanism and thermal power units' flexibility reformation schemes into transmission planning optimization model, the source-grid-load flexibility resources of power systems are optimized to promote wind power utilization. A joint optimization mathematical model for the thermal power units' flexibility reformation schemes, demand side response mechanism and optimization of transmission network is constructed. The proposed mathematical model is transformed into a mixed-integer linear programming model and solved by mixed-integer linear programming algorithm. Case studies are conducted to illustrate the effectiveness of the proposed source-grid-load synergized transmission planning method, and the numerical results show that the proposed method can guarantee the expected wind power utilization.

引用

页码：1437 / 1442

页数：6

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