TITLE:
Cost Control of the Transmission Congestion Management in Electricity Systems Based on Ant Colony Algorithm
AUTHORS:
Bin Liu, Jixin Kang, Nan Jiang, Yuanwei Jing
KEYWORDS:
Electricity Systems, Congestion Management, Ant Colony Algorithm, Minimax, Adjustment Cost
JOURNAL NAME:
Energy and Power Engineering,
Vol.3 No.1,
February
25,
2011
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.