Optimizing storage operations in transmission-constrained networks for medium-and long-term operation

Diego A. Tejada-Arango; Sonja Wogrin; Efraim Centeno

Optimizing storage operations in transmission-constrained networks for medium-and long-term operation

Diego A. Tejada-Arango, Sonja Wogrin, Efraim Centeno

Research output: Contribution to conference › Abstract › peer-review

Abstract

The main objective is to present a new approach to model the storage operation in the context of Medium-and Long-term Operational Planning (MLTOP). This approach is based on the system-state framework but including transmission constraints. A DC power flow approach is used to represent the transmission network. The methodology is related to clustering techniques usin information such as demand and wind generation per node. Case studies are presented in order to compare the newly proposed methodology and the hourly approach. The results illustrate the computational time reduction without loss of accuracy in the solution.

Original language	English
Publication status	Published - 2016
Externally published	Yes
Event	INFORMS Annual Meeting - Nashville, United States Duration: 13 Nov 2016 → 16 Nov 2016

Conference

Conference	INFORMS Annual Meeting
Country/Territory	United States
City	Nashville
Period	13/11/16 → 16/11/16

Cite this

@conference{f5a6adf9861e41658199176cc83e653b,

title = "Optimizing storage operations in transmission-constrained networks for medium-and long-term operation",

abstract = "The main objective is to present a new approach to model the storage operation in the context of Medium-and Long-term Operational Planning (MLTOP). This approach is based on the system-state framework but including transmission constraints. A DC power flow approach is used to represent the transmission network. The methodology is related to clustering techniques usin information such as demand and wind generation per node. Case studies are presented in order to compare the newly proposed methodology and the hourly approach. The results illustrate the computational time reduction without loss of accuracy in the solution.",

author = "Tejada-Arango, {Diego A.} and Sonja Wogrin and Efraim Centeno",

year = "2016",

language = "English",

note = "INFORMS Annual Meeting ; Conference date: 13-11-2016 Through 16-11-2016",

}

TY - CONF

T1 - Optimizing storage operations in transmission-constrained networks for medium-and long-term operation

AU - Tejada-Arango, Diego A.

AU - Wogrin, Sonja

AU - Centeno, Efraim

PY - 2016

Y1 - 2016

N2 - The main objective is to present a new approach to model the storage operation in the context of Medium-and Long-term Operational Planning (MLTOP). This approach is based on the system-state framework but including transmission constraints. A DC power flow approach is used to represent the transmission network. The methodology is related to clustering techniques usin information such as demand and wind generation per node. Case studies are presented in order to compare the newly proposed methodology and the hourly approach. The results illustrate the computational time reduction without loss of accuracy in the solution.

AB - The main objective is to present a new approach to model the storage operation in the context of Medium-and Long-term Operational Planning (MLTOP). This approach is based on the system-state framework but including transmission constraints. A DC power flow approach is used to represent the transmission network. The methodology is related to clustering techniques usin information such as demand and wind generation per node. Case studies are presented in order to compare the newly proposed methodology and the hourly approach. The results illustrate the computational time reduction without loss of accuracy in the solution.

M3 - Abstract

T2 - INFORMS Annual Meeting

Y2 - 13 November 2016 through 16 November 2016

ER -