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Balancing the electric mode by shifting with time of one-phase electric receiver load graphs

Journal: Reporter of the Priazovskyi State Technical University. Section: Technical sciences (Vol.34, No. 1)

Publication Date:

Authors : ;

Page : 132-139

Keywords : graphs of loads; asymmetrical load; additional energy loss; the optimum solution; balancing mode;

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A method for balancing the electrical mode by shifting the load diagrams of single-phase electric receivers in time has been developed, that does not require additional capital investments for its implementation, does not affect the technological process and, in certain cases, does not reduce the products output. The method is believed, on the basis of the information on the load curves of single-phase electric receivers connected to one node of the electrical network, to evaluate the mode asymmetry in the supplying three-wire line with all possible relative temporal shifts of the graphs. The criterion for choosing the optimal variant is additional losses of active energy in the supply line due to the asymmetry of the mode. To do this, a set of negative sequence current matrices generated by electric receivers is formed, with the number of rows equal to the number of stages of the load curve, and the number of columns is the tripled number of single-phase power receivers. The total number of matrices is equal to the number of variants of shifts of graphs relative to any of the steps of one of them. The realized connection of electric receivers to the network is described in Boolean variables and is represented by a vector with the number of elements equal to three times the number of electric receivers. To estimate the effect of implementing any variant of the shifts, one can multiply the corresponding matrix of negative sequence currents by the connection vector, and to process the obtained result then. All work on the synthesis of matrices, calculations and selection of the optimal variant is algorithmized, which makes it possible to use information technologies for decision making. The effectiveness of the developed method is illustrated by a numerical example

Last modified: 2018-04-11 20:32:28