Method and device for realizing power grid state estimation based on line temperature dynamic change
A power grid state estimation and dynamic change technology, applied in measurement devices, design optimization/simulation, special data processing applications, etc., can solve problems that do not conform to power grid operation conditions, aggravate the range of changes, and violent fluctuations in line temperature, etc., to achieve design principles Reliable, minimal changes, easy programming effects
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Embodiment 1
[0081] Such as figure 1 As shown, the present invention provides a method for realizing grid state estimation based on line temperature dynamic changes, including the following steps:
[0082] S1. Obtain the topological relationship between grid nodes, the electrical parameters and line material parameters of each transmission line between nodes;
[0083] S2. collect the real-time electrical quantity measurement data of the whole network of the power grid and the meteorological quantity measurement data at the position of each transmission line;
[0084] S3. Using the grid node voltage amplitude and phase angle as the state quantity parameters, establish an electrical quantity measurement equation, and use the weighted least square method, and based on the collected real-time electrical quantity measurement data of the entire power grid, establish an objective function to calculate the state quantity parameters estimated value of
[0085] S4. Calculate the real-time current ...
Embodiment 2
[0088] Such as figure 2 As shown, the present invention provides a method for realizing grid state estimation based on line temperature dynamic changes, including the following steps:
[0089] S1. Obtain the topological relationship between grid nodes, the electrical parameters and line material parameters of each transmission line between nodes; the electrical parameters of transmission lines between nodes include resistance R, reactance X, susceptance B, line length l, and line rated voltage level U b ; The line material parameters of the transmission line include the heat capacity mC p and conductor heat absorption coefficient α;
[0090] S2. Collect the real-time electrical quantity measurement data of the whole network of the power grid and the meteorological quantity measurement data at the location of each transmission line; the electrical quantity measurement data include node voltage amplitude, node injection power and power flow data of all transmission lines conne...
Embodiment 3
[0113] Such as Figure 4 As shown, to obtain the topological relationship between power grids, the IEEE39 node calculation example is used. In this calculation example, 1, 3, 5, 7, 9, 10, 13, 15, 17, 19, 21, 23, 25, 27, 29 , 30, 31, 32, 33, 34, 35, 37, and 39 nodes to install SCADA measurement equipment;
[0114] Obtain the electrical parameters of each transmission line in the power grid, including line resistance, reactance, susceptance parameters (after per unitization), line length, and initial temperature of the line, such as Figure 5 , Image 6 as well as Figure 7 shown;
[0115] Assume that the rated capacity of the system is Sb=100MVA, the voltage level of all nodes is set to Ub=345kV, the model of all lines is LGJ-300 / 40, the heat capacity is mCp=852.72J / (m·℃), and the line parameters are For the data at the rated temperature of 20°C, the heat absorption coefficient α of the conductor is 0.0039, the radiation heat transfer coefficient Ar of the wire is 2.13*10-9...
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