Computational modeling demonstrates reduced power losses and simplified operations in electrical distribution grids, indicating improved efficiency through transition-optimized scheduling.
An integrated algorithmic and heuristic technique for transition-optimised voltage and reactive power control is presented. The method seeks to provide a ‘transition-optimised’ voltage and reactive-power control method. Essentially it considers voltage and reactive power control as a time-based scheduling problem, with the intention of avoiding unnecessary changes in status and output of reactive control plant. The demand profile is classified adaptively using a heuristic iteration method through evaluating the standard deviation and the range of the sequence of load-demand points. Furthermore, an algorithmic transition-optimised model of the volt/VAr control is then presented based on demand-pattern classification. The solution algorithm and different control strategies are studied in the transition optimisation. Case studies illustrate that the integrated algorithmic and heuristic technique for transition-optimised voltage and reactive power control not only effectively reduces power losses, but also greatly simplifies control operations.
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Bie et al. (2006) studied this question.
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