Back to Search Start Over

Research on power system flexibility enhancement method based on pre-selection of structure adjustment strategy.

Authors :
Ma, Yinghao
Liu, Chen
Wei, Ming
Shen, Yuming
Xie, Wei
Yang, Hejun
Zhang, Dabo
Dong, Jizhe
Source :
International Journal of Electrical Power & Energy Systems. Jun2024, Vol. 157, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

• A flexibility enhancement pre-selection strategy based on network flexibility balance degree and line outage distribution factor is proposed. • The available flexibility index (AFI) is proposed to quantify the supply of system flexibility. • An optimization model of power system flexibility enhancement method based on pre-selection of structure adjustment strategy is proposed. The flexibility enhancement method of power system usually focuses on node flexible resource, without considering the transmission process. It may result in some flexible resources not being transferred, thus affecting the accuracy and effectiveness of the flexibility enhancement. In this paper, a flexibility enhancement optimization model based on pre-selection method of structure adjustment strategy is proposed, which can improve system flexibility with guaranteed availability of flexible resources. Firstly, the flexibility enhancement pre-selection method based on power system topology adjustment mathematical formulation is proposed to select the lines suitable for topology adjustment. Secondly, a flexibility enhancement optimization model considering economy and available flexibility is developed, which takes the maximum available flexibility index as the objective function and ensures the system flexible and economical by cost-floating constraint. The available flexibility deviation constraint corrects the system flexibility supply to guarantee the accuracy of available flexibility. Finally, the effectiveness of the proposed method is investigated through the case study on modified IEEE 24-bus and IEEE 118-bus system. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01420615
Volume :
157
Database :
Academic Search Index
Journal :
International Journal of Electrical Power & Energy Systems
Publication Type :
Academic Journal
Accession number :
175937185
Full Text :
https://doi.org/10.1016/j.ijepes.2023.109759