Simulation of cost optimal control of the transmission congestion management in electricity systems

Author

Liu, Bin ; Jiang, Nan ; Zheng, Yan ; Jing, Yuanwei

Author_Institution

Fac. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China

fYear

2011

fDate

23-25 May 2011

Firstpage

3610

Lastpage

3615

Abstract

This paper investigates the cost control problem of congestion management model in the real-time power systems. An improved optimal congestion cost model is built by introducing the congestion factor in dealing with the cases: opening the generator side and load side simultaneously. The global optimal solution of real-time congestion management is obtained based on the immune genetic algorithm, simulated annealing algorithm and ant colony algorithm, respectively. Through the simulation results of several algorithms to analyze and find a more simple and feasible and safe and easy to implement in order to effectively reduce and control the adjustment costs.

Keywords

artificial immune systems; cost optimal control; cost reduction; genetic algorithms; power transmission control; power transmission economics; simulated annealing; adjustment cost; ant colony algorithm; congestion factor; cost optimal control; cost reduction; electricity systems; generator side; global optimal solution; immune genetic algorithm; load side; real-time power system; simulated annealing algorithm; transmission congestion management; Generators; Genetic algorithms; Load flow; Load modeling; Mathematical model; Simulated annealing; Ant Colony Algorithm; Congestion Management; Electricity Systems; Immune Genetic Algorithm; Simulated Annealing;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2011 Chinese

Conference_Location

Mianyang

Print_ISBN

978-1-4244-8737-0

Type

conf

DOI

10.1109/CCDC.2011.5968849

Filename

5968849