Transient voltage stability monitoring method based on phase correction Lyapunov exponent
A transient voltage stabilization and phase correction technology, applied to electrical components, circuit devices, AC network circuits, etc., can solve problems such as misjudgment of transient voltage stability in AC and DC systems, model parameter changes, long observation time, etc., to achieve Overcoming the initial time window and observation window, strong versatility and practicability, and weakening the effect of inherent measurement errors
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Embodiment 1
[0065] The embodiment of the present invention provides a transient voltage stability monitoring method based on phase correction Lyapunov exponent, such as figure 1 As shown, the method includes the following steps:
[0066] 101: Use the PMU measurement device to measure the time series data V of the transient voltage of key nodes in real time t ={v t,1 ,v t,2 ,...,v t,n}, to prepare for the subsequent calculation of the Lyapunov index, and to monitor in real time whether the power system fails, and if a failure occurs, perform step 102; otherwise, continue to measure the voltage data of key nodes;
[0067] 102: Initialize the time window length, step size control parameter η and the number of average voltage measurement points n av ;
[0068] Wherein, if a failure occurs, the Lyapunov exponent needs to be calculated, and step 102 is an initialization step in the calculation.
[0069] 103: Perform mode analysis on the voltage trajectory in the initial time window, deter...
Embodiment 2
[0075] Combined with the specific calculation formula, the appended figure 2 , image 3 , Figure 4 The scheme in Example 1 is further introduced, see the following description for details:
[0076] 201: The response trajectory of the key node voltage has obvious dynamic characteristics in the transient process, and the change trajectory of the voltage amplitude of the key node after the fault is converted to the v′-Δv plane, where Δv and v′ are voltage time series data respectively The amplitude deviation and amplitude change rate, such as figure 2 shown.
[0077] Use the PMU measurement data to calculate the Δv of the mth measurement data of node i mΔt,i and v' mΔt,i The method looks like this:
[0078]
[0079] In the formula: v mΔt,i and v (m-1)Δt,i are the voltage time series data of node i at time mΔt and (m-1)Δt respectively; Δv mΔt,i and Δv (m-1)Δt,i Respectively, the voltage amplitude deviation of node i at mΔt and (m-1)Δt; v′ mΔt,i is the rate of chan...
Embodiment 3
[0137] The following combined with specific examples, Figure 5 , Figure 6 , Figure 7 , Figure 8 , Figure 9 , Figure 10 , Figure 11 And table 1 carries out feasibility verification to the scheme in embodiment 1 and 2, see the following description for details:
[0138] This example is to verify the accuracy and effectiveness of the proposed transient voltage stability real-time monitoring method through the modified IEEE-39 node power system. The modified IEEE-39 node power system topology is as follows: Figure 5 shown.
[0139] 1) Accuracy analysis of transient voltage stability monitoring indicators
[0140] In order to verify the accuracy of the MLE index proposed in this paper, take a three-phase short-circuit fault on the Bus4 side of the transmission line Bus4-Bus5 as an example. The simulation time is 10s, the sampling interval is 0.01s, and the initial time window length is D=0.3s. The start time is 0.2s. If the fault removal time is 0.44s, the transient...
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