Economic Loss assessment of end-users based on an integrated method of quality loss functions

With the increase of the access of different kinds of sensitive devices, voltage sags will bring more serious economic losses to the power consumers. In this paper, a multivariate Inverted Probability Loss Function (IPLF) model based on the entropy weight method (EWM) is proposed to evaluate the economic loss of power consumers. Firstly, the economic loss is divided into two parts, according to causing the interruption of economic activity or not. For the former, according to the voltage tolerance curve of user's device, the failure probability of device is calculated by the probability model considering the energy loss, and the relationship of the quality loss function between the two parties can be established. For the economic loss existed when the economic activity wasn't interrupted, the index of the single voltage sags event in the IEEE standard were used as the variable parameter in the economic loss model. Then EWM was used to synthesize the multiple IPLF. In the end, according to an example based on a user's historical voltage sags monitoring data, the experimental results show that this method can effectively assess the user's economic loss severity of voltage sags, and can provide decision support for the power supply enterprises to choose the power supply scheme and the power users to choose the investment scheme of the governance measures.