Reactive power optimization method and device for power distribution network
An optimization method and distribution network technology, applied in the field of micro-grid, can solve the problems of poor optimization effect and low accuracy of optimization results
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Embodiment 1
[0103] Embodiment 1 of the present invention provides a reactive power optimization method for distribution network, the specific flow chart is as follows figure 1 As shown, the specific process is as follows:
[0104] S101: Initialize control parameters and control variables;
[0105] S102: Based on the initialized control variable, update the control variable in the Lagrangian inner loop;
[0106] S103: Judging whether the Lagrangian outer loop converges, if it converges, it ends; if it does not converge, then update the control parameters (specifically update the Lagrange multipliers and penalty factors in the control parameters), and continue to run in the Lagrange The control variables are updated in the inner loop until the Lagrangian outer loop converges.
[0107] The above control parameters that need to be initialized include the outer loop Lagrange multiplier vector, the outer loop penalty factor vector, the growth coefficient of the penalty factor vector, the impr...
Embodiment 2
[0154] Based on the same inventive concept, Embodiment 2 of the present invention also provides a reactive power optimization device for a distribution network, including an initialization module, an update module, and a judgment module. The functions of the above modules are described in detail below:
[0155] The initialization module is used to initialize control parameters and control variables;
[0156] An update module, configured to update the control variable in the Lagrangian inner loop based on the initialized control variable;
[0157] The judging module is used to judge whether the Lagrangian outer loop converges, and if it converges, it ends; if it does not converge, then update the control parameters, and continue to update the control variables in the Lagrangian inner loop until the Lagrangian outer loop convergence.
[0158] The control parameters initialized by the above initialization module include the outer loop Lagrangian multiplier vector, the outer loop...
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