Research On Multi-facts Device Coordination Control To Improve Of Transmission Capacity

With the growth of the power load and the expansion of power grid, powersystem network is increasingly complicated, electricity shortage of energy supply,electricity supply and demand imbalance and other issues highlighted gradually. Tocater to the future power system reform and satisfy the social demand, thedevelopment of the power grid is a long way to go. The future power grid is mainlyface power system stability control, power long distance transmission, electricitymarket trading and others challenges. FACTS technology is power systems and powerelectronics field blend of new results, it appears to improve power system stabilitycontrol and transmission ability brought in new ways.Currently, the FACTS device has become an important part of power system field.Papers from FACTS devices to improve the capacity of transmission mechanism andthe research present situation, in-depth analysis of the control principle of FACTSdevices, summarizes the calculation method of the transmission capacity, transmissioncapacity as the goal of optimal power flow model and multi-objective optimizationmodel is proposed, puts forward the improved sequential quadratic programmingalgorithm and artificial immune algorithm. Based on transmission capacity calculationmodel and algorithm, and taking into account the impact of FACTS controllers’interaction, this article will study the FACTS devices coordination and control toimprove the transmission capacity.First of all, the paper is the classic model of the optimal po wer flow adjustmentsand improvements. Objective function by regional power load is the objective ofmaximizing, and add FACTS device compensation of power flow calculation of powerbalance, and increase the inequality constraints of FACTS devices control variableconstraints and the transient constraints;Secondly, in view of optimal power flow calculation model, the paper furthergives the optimal power flow calculation algorithm, The algorithm is derived toimprove the classic sequential quadratic programming algorithm. The algorithm forsolving nonlinear optimization problems has fast convergence and high accuracy isvery suitable for the proposed transmission capacity calculation;Again, consider multiple FACTS controllers negative interaction between theadverse effects on system stability and transmission capacity, artificial immunealgorithm-based multi-objective optimization model for coordinated multi-FACTS controller design;Finally, for the proposed model and calculation methods, the classicalmathematical tools MATLAB and IEEE30bus system is used for simulating. Bysimulation analysis, multi-FACTS controller coordinated design more conducive toimproving transmission capacity, and different combinations of multiple FACTSdevices and the installation position of the transmission capacity are different. At thesame time, the simulation results also show that the proposed model and algorithm iseffective.