Improved Algorithm of DC Power Flow Based on Sensitivity Analysis
A technology of sensitivity analysis and DC power flow, applied in the field of DC power flow improvement algorithms, it can solve the problems of loss of balance node information and large branch power flow errors, and achieve the effects of reducing calculation errors, reducing errors, and improving practicability
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Embodiment 1
[0072] This embodiment relates to a DC power flow improvement algorithm based on sensitivity analysis, including the following steps (such as figure 1 Shown), wherein, the node in the present embodiment is busbar:
[0073] Step 1. Obtain the original data network parameters, including the impedance of each branch, the ground admittance of each branch, the reactance, conductance and susceptance between nodes. These original data network parameters are used to form the admittance matrix in the subsequent steps. Required parameter. The acquisition method is topology analysis well known to those skilled in the art, and will not be repeated here.
[0074] Step 2, using the impedance of each branch and the ground admittance of each branch to establish the branch admittance matrix B of b nodes in the power grid L , Using the reactance between nodes to calculate the node admittance matrix B of n nodes in the grid. Among them, the branch admittance matrix is a b-order diagonal mat...
Embodiment 2
[0121] This embodiment relates to the verification of the DC power flow improvement algorithm based on sensitivity analysis, and this embodiment adopts a system with 30 nodes in IEEE for simulation calculation.
[0122] Step 1, the data is subject to the 30-node network parameters. Node 1 is selected as the balance node in the calculation. The network loss sensitivity of each node in the 30-node system is shown in Table 1. It can be seen from Table 1 that the network loss sensitivity of each node in the 30-node system can be positive or negative. A positive value means that when the node injection power increases, its network loss will also increase; a negative value means that when the node injection power increases, Network loss will be reduced.
[0123] Table 1 Network loss sensitivity results of each node in the 30-node system
[0124]
[0125] From the results in Table 1, an appropriate threshold can be selected according to the specific system. The inverse matrix ...
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