Corrective Power Network Reconfiguration for Eliminating Transmission Lines Overload

The power flow of transmission lines may be overloaded when contingencies occur. To solve this problem effectively, this paper proposes a two-staged optimization model, which considers spinning reserve resources and network adjustment. Firstly, a DC power flow based mathematical model of network rec...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:2020 IEEE 1st China International Youth Conference on Electrical Engineering (CIYCEE) s. 1 - 6
Hlavní autori: Zhang, Yingling, Xu, Zhengqi, Kuang, Jing, Han, Ye, Zheng, Liwei, Guo, Ruipeng
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 01.11.2020
Predmet:
Branch and bound method
Load flow
Load modeling
Mathematical model
mixed-integer nonlinear problem
Optimization
Power system stability
primal dual interior point method
Programming
Short-circuit currents
transmission line overload
transmission network reconfiguration
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:The power flow of transmission lines may be overloaded when contingencies occur. To solve this problem effectively, this paper proposes a two-staged optimization model, which considers spinning reserve resources and network adjustment. Firstly, a DC power flow based mathematical model of network reconfiguration is introduced to obtain an approximate optimal solution. Then an AC power flow based mathematical model of network reconfiguration is introduced, and the obtained approximate optimal solution is used as an initial state. The proposed model is a mixed integer nonlinear programming (MINLP) model, because it considers the AC power flow constraints and introduces binary integer variables. The branch and bound method and the primal dual interior point method are used to solve the MINLP problem. Finally, the correctness and effectiveness of the proposed methods are verified by simulations on Fujian transmission grids.
DOI:10.1109/CIYCEE49808.2020.9332647