In the mathematical model of dynamic optimal reactive power
the inefficiency and poor convergence are obvious in the optimization process. A dynamic optimal reactive power model is proposed
where the control variable increments are regarded as the unknown variables and the optimal solution is obtained in finite steps by Lemke algorithm. This dynamic optimal reactive power with a slight computation task is suitable for the higher demand of the computing rate and the algorithm stability in dynamic optimal reactive power control. As to the problem of restricted variable operation times
the heuristic combination algorithm is chosen to restrict the controllable variable and the complexity of putting the variable operation times into the optimization process is avoided. The results demonstrate that the model and method enable to shorten the computing period and obtain the optimal solution in limited steps.
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