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has been cited by the following article:

• 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.