Studies on reactive power optimization based on transition-optimised control strategy

A heuristic iterative algorithm for transition-optimised control strategy, which considers the maximum allowable daily switching time of control devices, is presented by statistics analyzing based load profile partitioning algorithm. 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 device. The demand profile can be classified adaptively using the proposed heuristic iteration method through evaluating the standard deviation and the range of the sequence of load demand points. Furthermore, an algorithmic transition-optimized model of the voltage/var control is then presented based on demand pattern classification. The solution algorithm and different control strategies are studied in the transition-optimization. From the power loss, switching times of control devices and computation burden, the calculation for IEEE-39 system shows that this method is reasonable and valid. Moreover, 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.