Short-Circuit-Analytic Perform short circuit fault currents calculations in radial power distribution systems.
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analysis calculator circuit circuit analyzer electrical circuit

Short-Circuit-Analytic Description

Short-Circuit-Analytic (SCA) software performs available fault currents calculations in three-phase electric power systems you are working with. The program takes into consideration electrical parameters of the power supply as well as the power distribution system including utility, cables, bus ducts, transformers, generators, motors etc. SCA automatically converts the entire system into a unique impedance unit from which the short circuit current at each and every point is calculated. The process is simple, efficient and will save you both money and time. SCA Features and Capabilities: Calculates minimum and maximum available 3-phase and phase-to-phase short circuit currents at each bus within your power distribution system. Computes contributions from generators and motors * Preview, print multi-page radial single line diagrams. Saves calculation results and equipment data. Complements ARCAD software and mobile apps for arc flash hazard analysis and labeling. Takes into account both active and reactive parts of equipment impedance performing comprehensive short circuit analysis. Some industry accepted calculation methods and standards disregard the equipment X/R ratio and apply correction factors to presumably compensate for the error. Such approach introduces up to 15% uncertainty in a single step of adding two impedances alone while applying different correction factors does not quantifies or corrects the error but only amplifies it.. Calculate the total available short circuit current, the amount of maximum upstream short circuit current and the minimum available short circuit current contributed by one source only. Both the available short circuit current (ASCC) and the part of ASCC through protection device current values are required for comprehensive arc flash hazard analysis based on the IEEE 1584 empirical model.

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