Cost Control of the Transmission Congestion Management in Electricity Systems Based on Ant Colony Algorithm

Bin Liu, Jixin Kang, Nan Jiang, Yuanwei Jing
DOI: 10.4236/epe.2011.31003                

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 problem of real-time congestion management is transformed to a nonlinear programming problem. While the transmission congestion is maximum, the adjustment cost is minimum based on the ant colony algorithm, and the global optimal solu-tion is obtained. Simulation results show that the improved optimal model can obviously reduce the adjust-ment cost and the designed algorithm is safe and easy to implement.

Keywords

Electricity Systems, Congestion Management, Ant Colony Algorithm, Minimax, Adjustment Cost

Conflicts of Interest

The authors declare no conflicts of interest.

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