Abstract
Power system restoration after outages caused by natural disasters is difficult owing to the damage caused to transmission lines. To formulate an effective power system restoration scheme and avoid damage to power equipment, it is necessary to obtain the availability of transmission lines in real time. Due to the complexity and variability of natural disasters, the availability assessment of transmission lines that depends on statistical data cannot give effective availability, which will lead to the failure of recovery. Two correlation models between transmission line availability and information of relay action are established and then applied to different relays in this paper. Combined with the real time record from the sequence of event (SOE), the online availability assessment method for transmission lines is proposed, which can obtain the damage probability of transmission lines in real time. The proposed method is verified by testing on the IEEE 39-bus model, and the simulation results show that it can assess the availability of transmission lines in real time without needing to consider the type of disaster, thus, helping to avoid the use of damaged transmission lines in the recovery process.
Highlights
Power system blackouts caused by natural disasters such as earthquakes, flooding, and snowstorms have posed one of the most significant threats to the secure and reliable power grid operation [1], resulted in huge economic losses in the last decades
Combined with the relay pickup information recorded by sequence of event (SOE) in real time during natural disasters, the damage probability and availability of transmission lines can be obtained in real time
Based on the estimated probabilistic correlation model and sectional correlation model, an availability assessment method for the transmission lines is proposed in this paper using the SOE records during a disaster event
Summary
Power system blackouts caused by natural disasters such as earthquakes, flooding, and snowstorms have posed one of the most significant threats to the secure and reliable power grid operation [1], resulted in huge economic losses in the last decades. Solheim and Kjølle [7] and Solheim and Trötscher [8] used reanalysis data and a Bayesian updating scheme to calculate failure probabilities for transmission lines This kind of assessment method to obtain damage probability of transmission lines is based on normal cases in operation; it cannot describe the real condition of the transmission lines in disasters. It is very difficult to model natural disasters; this kind of model focuses on a specific scenario, which is always different from the real condition, rendering it unsuitable for application Neither of these two categories of methods can solve the problem of transmission lines availability assessment after natural disasters, because the off-line damage probability may give incorrect instructions for restoration plans. Combined with the relay pickup information recorded by SOE in real time during natural disasters, the damage probability and availability of transmission lines can be obtained in real time. Where ‘‘n’’ denotes the type of relays, and the subscripts ‘‘1/0’’ denote ‘‘tripping/no tripping of relays’’, respectively
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