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.
Highlights
With the open of transmission network, the problem of transmission congestion becomes very serious under power market environment
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
Summary
With the open of transmission network, the problem of transmission congestion becomes very serious under power market environment. Reference [15] proposed an optimization model using sensitivity factor to solve the blocking problem existing regional electricity market based on AC power flow model. These traditional optimizations of transmission congestion mostly focused on the trend of the objective function or as a percentage of the basic constraints to the introduction of the congestion management model. This approach increases the difficult to solving the model in virtually. Simulation results show that the improved optimal model can obviously reduce the cost of electricity
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