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Cost Control of the Transmission Congestion Management in Electricity Systems Based on Ant Colony Algorithm
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Energy and Power Engineering·Volume 03 (2011)·Pages 17–23·Published 25 February 2011·DOI10.4236/epe.2011.31003
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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.
KeywordsElectricity SystemsCongestion ManagementAnt Colony AlgorithmMinimaxAdjustment Cost
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