Self-adaptive Power Flow Optimization Method for Multi-terminal SNOP Considering the Difference of Risk of Node Voltage beyond Limit

Abstract

Soft Normally Open Point (SNOP) is a power electronic device used widely in power distribution network. It can solve many problems by adjusting reactive power compensation and active power transmission. The uncertainty and fluctuation of distributed generation (DG) may cause many problems to the distribution network. In order to balance the safety and economy in power flow optimization better, a self-adaptive power flow optimization method for active distribution network with multi-terminal SNOP considering difference of the risk of node voltage beyond limit is put forward. It takes both weighted voltage deviation and the network loss into objective function to construct the optimal operation model and mainly has two improvements: one is considering initial voltage deviation and real-time penetration of the DG to establish the self-adaptive weight model of the sum of voltage deviation in the objective function; the other is putting forward the weighting strategy for node voltage deviation which decided by the electrical distance, DG position and correlation between source output and load. Then, taking three improved IEEE33 node feeders as an example to verify the validity of the strategy. The results validate that the self-adaptive strategy can reduce the loss and improve the regulation of voltage better and is useful in distribution network under different penetration.