Simulation of cost optimal control of the transmission congestion management in electricity systems

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 global optimal solution of real-time congestion management is obtained based on the immune genetic algorithm, simulated annealing algorithm and ant colony algorithm, respectively. Through the simulation results of several algorithms to analyze and find a more simple and feasible and safe and easy to implement in order to effectively reduce and control the adjustment costs.