Operation situational awareness based on dynamic power flow for a profound analysis of active distribution network

Abstract

Operation characteristics of active distribution network (ADN) has become more and more complicated since increasing uncertainties and variable scenarios are introduced with the integration of intermittent distributed energy sources (DERs). An effective novel method is needed to reveal intrinsic characteristics of ADN more precisely and deeply, which traditional analysing methods may not apply any more. A method of operation situational awareness under steady state based on dynamic power flow for ADN is proposed in this paper examining grid's operation status in time-changing scenarios. Key indexes reflecting operation situation are defined and used for a profound analysis. The essence of the proposed dynamic power flow (DPF) method is about continuously allocating unbalanced active power by adjusting energy storage system (ESS) according to consecutive scenario variations when DER integrated. With the result dynamic power flow provides, key indexes can thus be calculated utilizing proposed method. So it is able to analyse current status and predict in which direction the system may possibly move in short terms. Through case study, it shows that the proposed operation situational awareness method can better reflect the status of ADN under the circumstances of strong uncertainties and frequent disturbances than that of traditional method. This will be of help for decision-making process in optimization and control issues.