Rationalization of operation of an industrial network

The paper deals with the rationalization of the electric power supply of an industrial network. The relevant indices characterizing daily load diagrams are defined, and measurement data are statistically processed to select the representative days for the optimization of reactive power compensation. Mathematical models for the optimization of compensation and load shifting are provided and efficiently processed by applying the Hooke and Jeeves’ discrete search approach. Optimal allocation of capacitor banks at available network load points and their sizes have been determined to maximize the annual cost saving related to real and reactive energy consumption charges. The optimal solution recommended is analyzed for harmonics resonance conditions. The optimal phase shifts of daily load diagrams of feeders supplying various groups of loads are determined potentially minimizing the peak of the aggregated load and associated charges.