Optimal Storage Operation with Model Predictive Control in the German Transmission Grid

被引：2

作者：

Meyer-Huebner, Nico ^{[1
]}

Suriyah, Michael ^{[1
]}

Leibfried, Thomas ^{[1
]}

Slednev, Viktor ^{[2
]}

Bertsch, Valentin ^{[2
]}

Fichtner, Wolf ^{[2
]}

Gerstner, Philipp ^{[3
,4
]}

Schick, Michael ^{[3
,4
]}

Heuveline, Vincent ^{[3
,4
]}

机构：

[1] Karlsruhe Inst Technol, Inst Elect Energy Syst & High Voltage Technol, Karlsruhe, Germany

[2] Karlsruhe Inst Technol, Inst Ind Prod, Karlsruhe, Germany

[3] Heidelberg Univ, Engn Math & Comp Lab, Heidelberg, Germany

[4] Heidelberg Inst Theoret Studies, Heidelberg, Germany

来源：

ADVANCES IN ENERGY SYSTEM OPTIMIZATION | 2017年

关键词：

Time constrained optimal power flow; OPF; Storage; Model predictive control; Receding horizon; Transmission grid; OPTIMAL POWER-FLOW;

D O I：

10.1007/978-3-319-51795-7_3

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

In this paper, a model predictive control approach is presented to optimize generator and storage operation in the German transmission grid over time spans of hours to several days. In each optimization, a full AC model with typical OPF constraints such as voltage or line capacity limits is used. With given RES and load profiles, inter-temporal constraints such as generator ramping and storage energy are included. Jacobian and Hessian matrices are provided to the solver to enable a fast problem formulation, but the computational bottleneck still lies in solving the linear Newton step. The deviation in storage operation when comparing the solution over the entire horizon of 96 h against themodel predictive control is shown in the German transmission grid. The results show that horizons of around 24 h are sufficient with today's storage capacity, but must be extended when increasing the latter.

引用

页码：31 / 45

页数：15

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