Abstract :
The described automatic system ensures the optimizing of electric network operating through the decreasing or elimination of power losses in the local consumption network as a result of the detection and correction, on operator command, of the operating deficiencies of the consumers connected to this network. The automatic optimizing system accomplishes the following functions: 1) the command of the medium voltage network that feeds the consumers in the feeding points tracking the state of the specific parameters (active and reactive electric power, power factor, voltage, current, frequency, harmonics) and the deviations from the pre-established domains of these parameters; this command is made on three levels: level 1: the feeding points toward the system (transforming stations TS); level 2: the feeding points toward the consumers (the feeding points FP, the transforming posts TP); level 3: the command, control and actuating equipments of the consumers. 2) the command of the electric parameters specific to the consumers with the purpose of optimizing their operating; 3) the automated identification, by the optimizing system, of the consumers connected to the network following the algorithm: 4) the consumer type (resistive, capacitive, inductive, etc.); 5) the importance of the consumer from the technological process, in which it is involved, point of view; 6) the connection point to the network; 7) the type reactive power of the consumer; 8) the type active power of the consumer; 9) the real reactive power of the consumer (size and circulating way); 10) the real active power of the consumer; 11) the (measured) real and type electric parameters of the consumer (voltage, current, power factor, operating regimes, etc.) and their deviations from the pre-established domains; 12) the operating way of the consumer (the regime operating period, the real operating period, the real and type rated capacity); 13) the fault rate on a pre-established period; 14) the wear degree - - of the respective consumer
Keywords :
decision support systems; distribution networks; knowledge based systems; power consumption; power engineering computing; power stations; automated identification; automatic optimizing system; decision system; economic agents; electric energy; electric network optimization; electric networks; feeding stations; intelligent analysis; local consumption network; medium voltage network; power consumption; type active power; type reactive power; Energy consumption; Feeds; Frequency; Intelligent agent; Medium voltage; Power generation economics; Power system economics; Power system harmonics; Reactive power; Reactive power control; automation; electric energy; electric networks; feeding stations; optimizing; software;
Conference_Titel :
Automation, Quality and Testing, Robotics, 2006 IEEE International Conference on