The Study Of Secondary Voltage Control Based On Network Partitioning

With the development of computer and automation technology, the automatism voltage control(AVC) system is possible to be realized. Firstly, the paper introduces the basic module of AVC: network partitioning, pilot bus selecting and control policy designing, then summarize the research state and application of AVC.This paper introduces network partitioning based on KOHONEN neural network: firstly, a concept of Mvar coordinate space is presented, then take the sensitivity between generators and nodes as eigenvectors, at last, KOHONEN neural network is introduced to decomposition. With the increasing compactness of power grid, the coupling among every VCA (voltage control area) is becoming stronger and stronger, it makes the routine secondary voltage control strategy difficult to realize. Based on Ward-type equivalent, the paper consider the effect of reactive power among VCAs and improve the existing control strategy of VCA. Take the New England System as the example, the simulation results show that KOHONEN neural network is a method which is rapid computation and strong type recognition, and it is fit for network partitioning; after adopting the new control strategy, the effect of the reactive power in the neighboring area on the control performance of one area has decreased. This can illustrate the validity of the improved control scheme.